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Timezone: America/Sao_Paulo
Full Schedule Thu 4/23 Fri 4/24 Sat 4/25 Sun 4/26 Mon 4/27
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Registration Desk
8:00 AM - 5:30 PM
Invited Talk
9:00 AM - 10:00 AM

As AI capabilities skyrocket, openness plummets: the scientific community and broader public knows little of how frontier models (including open-weight models) are trained.  I will describe Marin, a radically new way of doing model development, inspired by true open-source software. Every experiment is done in the open, and anyone can suggest ideas, review, and even run experiments through GitHub, providing a better way of doing science that improves on preregistration, reproducibility, and peer review. I will discuss a selection of scientific results that have emerged from Marin, including new optimizers and scaling laws. We hope that Marin will be a platform for the community to participate in the development of frontier AI.

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Speaker Bio
Percy Liang
Percy Liang is a Professor of Computer Science at Stanford University, co-founder of Together AI and Simile AI, and the creator of Marin, a platform for developing foundation models fully in the open. He has made a number of contributions in AI, including the SQuAD question answering dataset, the HELM benchmarking framework, generative agents, prefix tuning, and coining the term "foundation models". His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), a Microsoft Research Faculty Fellowship (2014), and paper awards at ACL, EMNLP, ICML, COLT, ISMIR, CHI, UIST, and RSS.
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Oral
10:30 AM - 12:00 PM
7 Events in this session
ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
Zhaoyang Liu ⋅ JingJing Xie ⋅ Zichen Ding ⋅ Zehao Li ⋅ Bowen Yang ⋅ Zhenyu Wu ⋅ Xuehui Wang ⋅ Qiushi Sun ⋅ Shi Liu ⋅ Weiyun Wang ⋅ Shenglong Ye ⋅ Qingyun Li ⋅ Zeyue Tian ⋅ Gen Luo ⋅ Xiangyu Yue ⋅ Biqing Qi ⋅ Kai Chen ⋅ Bowen Zhou ⋅ Yu Qiao ⋅ Qifeng Chen ⋅ Wenhai Wang
Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People
Gabriel Grand ⋅ Valerio Pepe ⋅ Joshua B Tenenbaum ⋅ Jacob Andreas
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Zhuofeng Li ⋅ Haoxiang Zhang ⋅ Seungju Han ⋅ Sheng Liu ⋅ Jianwen Xie ⋅ Yu Zhang ⋅ Yejin Choi ⋅ James Y Zou ⋅ Pan Lu
Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments
Romain Froger ⋅ Pierre Andrews ⋅ Matteo Bettini ⋅ Amar Budhiraja ⋅ Ricardo Cabral ⋅ Virginie Do ⋅ Emilien Garreau ⋅ Jean-Baptiste Gaya ⋅ Hugo Laurençon ⋅ Maxime Lecanu ⋅ Kunal Malkan ⋅ Dheeraj Mekala ⋅ Pierre Ménard ⋅ Gerard Bertran ⋅ Ulyana Piterbarg ⋅ Mikhail Plekhanov ⋅ Mathieu Rita ⋅ Andrey Rusakov ⋅ Vladislav Vorotilov ⋅ Mengjuew Wang ⋅ Ian Yu ⋅ Amine Benhalloum ⋅ Grégoire Mialon ⋅ Thomas Scialom
AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL
Zhiheng Xi ⋅ Jixuan Huang ⋅ Chenyang Liao ⋅ Baodai Huang ⋅ Jiaqi Liu ⋅ Honglin Guo ⋅ yajie yang ⋅ Rui Zheng ⋅ Junjie Ye ⋅ Jiazheng Zhang ⋅ Wenxiang Chen ⋅ Wei He ⋅ Yiwen Ding ⋅ Guanyu Li ⋅ Zehui Chen ⋅ Zhengyin Du ⋅ Xuesong Yao ⋅ Yufei Xu ⋅ Jiecao Chen ⋅ Tao Gui ⋅ Zuxuan Wu ⋅ Qi Zhang ⋅ Xuanjing Huang ⋅ Yu-Gang Jiang
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Lakshya A Agrawal ⋅ Shangyin Tan ⋅ Dilara Soylu ⋅ Noah Ziems ⋅ Rishi Khare ⋅ Krista Opsahl-Ong ⋅ Arnav Singhvi ⋅ Herumb Shandilya ⋅ Michael J Ryan ⋅ Meng Jiang ⋅ Christopher Potts ⋅ Koushik Sen ⋅ Alex Dimakis ⋅ Ion Stoica ⋅ Dan Klein ⋅ Matei Zaharia ⋅ Omar Khattab
Speculative Actions: A Lossless Framework for Faster AI Agents
Naimeng Ye ⋅ Arnav Ahuja ⋅ Georgios Liargkovas ⋅ Yunan Lu ⋅ Kostis Kaffes ⋅ Tianyi Peng
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Oral
10:30 AM - 12:00 PM
7 Events in this session
Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation
Zhuoyang Zhang ⋅ Luke Huang ⋅ Chengyue Wu ⋅ Shang Yang ⋅ Kelly Peng ⋅ Yao Lu ⋅ Song Han
SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
Junsong Chen ⋅ Yuyang Zhao ⋅ Jincheng YU ⋅ Ruihang Chu ⋅ Junyu Chen ⋅ Shuai Yang ⋅ Xianbang Wang ⋅ Yicheng Pan ⋅ Zhou Daquan ⋅ Huan Ling ⋅ Haozhe Liu ⋅ Hongwei Yi ⋅ Hao Zhang ⋅ Muyang Li ⋅ Yukang Chen ⋅ Han Cai ⋅ Sanja Fidler ⋅ Ping Luo ⋅ Song Han ⋅ Enze Xie
Partition Generative Modeling: Masked Modeling Without Masks
Justin Deschenaux ⋅ Lan Tran ⋅ Caglar Gulcehre
NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
chunrui han ⋅ Guopeng Li ⋅ Jingwei Wu ⋅ Quan Sun ⋅ Yan Cai ⋅ Yuang Peng ⋅ Zheng Ge ⋅ Deyu Zhou ⋅ Haomiao Tang ⋅ Hongyu Zhou ⋅ Kenkun Liu ⋅ Shu-Tao Xia ⋅ Binxing Jiao ⋅ Daxin Jiang ⋅ Xiangyu Zhang ⋅ Yibo Zhu
TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems
Christoph Minixhofer ⋅ Ondrej Klejch ⋅ Peter Bell
VibeVoice: Expressive Podcast Generation with Next-Token Diffusion
Zhiliang Peng ⋅ Jianwei Yu ⋅ Wenhui Wang ⋅ Yaoyao Chang ⋅ Yutao Sun ⋅ Li Dong ⋅ Yi Zhu ⋅ Weijiang Xu ⋅ Hangbo Bao ⋅ Zehua Wang ⋅ Shaohan Huang ⋅ Yan Xia ⋅ Furu Wei
UALM: Unified Audio Language Model for Understanding, Generation and Reasoning
Jinchuan Tian ⋅ Sang-gil Lee ⋅ Zhifeng Kong ⋅ Sreyan Ghosh ⋅ Arushi Goel ⋅ Chao-Han Huck Yang ⋅ Wenliang Dai ⋅ Zihan Liu ⋅ Hanrong Ye ⋅ Shinji Watanabe ⋅ Mohammad Shoeybi ⋅ Bryan Catanzaro ⋅ Rafael Valle ⋅ Wei Ping
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Oral
10:30 AM - 12:00 PM
7 Events in this session
Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation
Zhengbo Wang ⋅ Jian Liang ⋅ Ran He ⋅ Zilei Wang ⋅ Tieniu Tan
WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training
Changxin Tian ⋅ Jiapeng Wang ⋅ Qian Zhao ⋅ Kunlong Chen ⋅ Jia Liu ⋅ Ziqi Liu ⋅ Jiaxin Mao ⋅ Xin Zhao ⋅ Zhiqiang Zhang ⋅ JUN ZHOU
Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
Taishi Nakamura ⋅ Satoki Ishikawa ⋅ Masaki Kawamura ⋅ Okamoto ⋅ Daisuke Nohara ⋅ Jun Suzuki ⋅ Rio Yokota
How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining
Kairong Luo ⋅ Zhenbo Sun ⋅ Haodong Wen ⋅ Xinyu Shi ⋅ Jiarui Cui ⋅ Chenyi Dang ⋅ Kaifeng Lyu ⋅ Wenguang Chen
In-Place Test-Time Training
Guhao Feng ⋅ Shengjie Luo ⋅ Kai Hua ⋅ Ge Zhang ⋅ Wenhao Huang ⋅ Di He ⋅ Tianle Cai
Softmax Transformers are Turing-Complete
Hongjian Jiang ⋅ Michael Hahn ⋅ Georg Zetzsche ⋅ Anthony W. Lin
Pre-training under infinite compute
Konwoo Kim ⋅ Suhas Kotha ⋅ Percy Liang ⋅ Tatsunori Hashimoto
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Oral
10:30 AM - 12:00 PM
5 Events in this session
MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Models for Embodied Task Planning
Yuanchen Ju ⋅ Yongyuan Liang ⋅ Yen-Jen Wang ⋅ Gireesh Nandiraju ⋅ Yuanliang Ju ⋅ Seungjae (Jay) Lee ⋅ Qiao Gu ⋅ Elvis Hsieh ⋅ Furong Huang ⋅ Koushil Sreenath
Generative Universal Verifier as Multimodal Meta-Reasoner
Xinchen Zhang ⋅ Xiaoying Zhang ⋅ Youbin Wu ⋅ Yanbin Cao ⋅ Renrui Zhang ⋅ Ruihang Chu ⋅ Ling Yang ⋅ Yujiu Yang ⋅ Guang Shi
Visual Planning: Let's Think Only with Images
Yi Xu ⋅ Chengzu Li ⋅ Han Zhou ⋅ Xingchen Wan ⋅ Caiqi Zhang ⋅ Anna Korhonen ⋅ Ivan Vulić
MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains
Xuying Ning ⋅ Dongqi Fu ⋅ Tianxin Wei ⋅ Mengting Ai ⋅ Jiaru Zou ⋅ Ting-Wei Li ⋅ Hanghang Tong ⋅ Yada Zhu ⋅ Hendrik Hamann ⋅ Jingrui He
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
Zhuoran Jin ⋅ Hongbang Yuan ⋅ Kejian Zhu ⋅ Jiachun Li ⋅ Pengfei Cao ⋅ Yubo Chen ⋅ Kang Liu ⋅ Jun Zhao
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Oral
10:30 AM - 12:00 PM
6 Events in this session
The Polar Express: Optimal Matrix Sign Methods and their Application to the Muon Algorithm
Noah Amsel ⋅ David Persson ⋅ Christopher Musco ⋅ Robert M. Gower
Temporal superposition and feature geometry of RNNs under memory demands
Pratyaksh Sharma ⋅ Alexandra M Proca ⋅ Lucas Prieto ⋅ Pedro Mediano
Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime
Leonardo Defilippis ⋅ Yizhou Xu ⋅ Julius Girardin ⋅ Vittorio Erba ⋅ Emanuele Troiani ⋅ Lenka Zdeborova ⋅ Bruno Loureiro ⋅ Florent Krzakala
Efficient Resource-Constrained Training of Transformers via Subspace Optimization
Le-Trung Nguyen ⋅ Enzo Tartaglione ⋅ Van-Tam Nguyen
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
Haiquan Qiu ⋅ Quanming Yao
HATSolver: Learning Gröbner Bases with Hierarchical Attention Transformers
Mohamed Malhou ⋅ Ludovic Perret ⋅ Kristin Lauter
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Oral
10:30 AM - 12:00 PM
5 Events in this session
Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction
Zhao Yang ⋅ Yi Duan ⋅ Jiwei Zhu ⋅ Ying Ba ⋅ Chuan Cao ⋅ Bing Su
Exploring Synthesizable Chemical Space with Iterative Pathway Refinements
Seul Lee ⋅ Karsten Kreis ⋅ Srimukh Veccham ⋅ Meng Liu ⋅ Danny Reidenbach ⋅ Saee Paliwal ⋅ Weili Nie ⋅ Arash Vahdat
mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules
Carl Edwards ⋅ Chi Han ⋅ Gawon Lee ⋅ Thao Nguyen ⋅ Sara Szymkuć ⋅ Chetan Prasad ⋅ Bowen Jin ⋅ Jiawei Han ⋅ Ying Diao ⋅ Ge Liu ⋅ Hao Peng ⋅ Bartosz Grzybowski ⋅ Martin Burke ⋅ Heng Ji
It's All Just Vectorization: einx, a Universal Notation for Tensor Operations
Florian Fervers ⋅ Sebastian Bullinger ⋅ Christoph Bodensteiner ⋅ Michael Arens
Exploratory Causal Inference in SAEnce
Tommaso Mencattini ⋅ Riccardo Cadei ⋅ Francesco Locatello
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Poster
10:30 AM - 1:00 PM
506 Events in this session
Adjusting Prediction Model Through Wasserstein Geodesic for Causal Inference
Yuguang Yan ⋅ Haolin Yang ⋅ Zecong Chen ⋅ Weilin Chen ⋅ Ruichu Cai ⋅ Zhifeng Hao
Coarse-to-Fine Learning of Dynamic Causal Structures
Dezhi Yang ⋅ Qiaoyu Tan ⋅ Carlotta Domeniconi ⋅ Jun Wang ⋅ Lizhen Cui ⋅ Guoxian Yu
Structure Learning from Time-Series Data with Lag-Agnostic Structural Prior
Taiyu Ban ⋅ Changxin Rong ⋅ Xiangyu Wang ⋅ Lyuzhou Chen ⋅ Yanze Gao ⋅ Xin Wang ⋅ Huanhuan Chen
Statistical and structural identifiability in representation learning
Walter Nelson ⋅ Marco Fumero ⋅ THEOFANIS KARALETSOS ⋅ Francesco Locatello
On Measuring Influence in Avoiding Undesired Future
Lue Tao ⋅ Tian-Zuo Wang ⋅ Yuan Jiang ⋅ Zhi-Hua Zhou
Designing Time Series Experiments in A/B Testing with Transformer Reinforcement Learning
Xiangkun Wu ⋅ Qianglin Wen ⋅ Yingying Zhang ⋅ Hongtu Zhu ⋅ Ting Li ⋅ Chengchun Shi
An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes
Emil Javurek ⋅ Valentyn Melnychuk ⋅ Jonas Schweisthal ⋅ Konstantin Hess ⋅ Dennis Frauen ⋅ Stefan Feuerriegel
TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations
Gideon Stein ⋅ Niklas Penzel ⋅ Tristan Piater ⋅ Joachim Denzler
Direct Doubly Robust Estimation of Conditional Quantile Contrasts
Josh Givens ⋅ Song Liu ⋅ Henry W J Reeve ⋅ Katarzyna Reluga
Overlap-weighted orthogonal meta-learner for treatment effect estimation over time
Konstantin Hess ⋅ Dennis Frauen ⋅ Mihaela van der Schaar ⋅ Stefan Feuerriegel
Token-Efficient Item Representation via Images for LLM Recommender Systems
Kibum Kim ⋅ Sein Kim ⋅ HongSeok Kang ⋅ Jiwan Kim ⋅ Heewoong Noh ⋅ Yeonjun In ⋅ Kanghoon Yoon ⋅ Jinoh Oh ⋅ Julian McAuley ⋅ Chanyoung Park
Lossy Common Information in a Learnable Gray-Wyner Network
Anderson de Andrade ⋅ Alon Harell ⋅ Ivan Bajic
Learning is Forgetting; LLM Training As Lossy Compression
Henry Conklin ⋅ Tom Hosking ⋅ Yi-Chern Tan ⋅ Jonathan Cohen ⋅ Sarah-Jane Leslie ⋅ Thomas L. Griffiths ⋅ Max Bartolo ⋅ Seraphina Goldfarb-Tarrant
DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities
Hedi Zisling ⋅ Ilan Naiman ⋅ Nimrod Berman ⋅ Supasorn Suwajanakorn ⋅ Omri Azencot
Building Massively Multimodal Foundation Models with Interaction-aware Mixture-of-Experts
Xing Han ⋅ Hsing-Huan Chung ⋅ Joydeep Ghosh ⋅ Paul Liang ⋅ Suchi Saria
Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training
Junlin Han ⋅ Shengbang Tong ⋅ David Fan ⋅ Yufan Ren ⋅ Koustuv Sinha ⋅ Philip Torr ⋅ Filippos Kokkinos
$\ell_1$ Latent Distance based Continuous-time Graph Representation
Zhao-Rong Lai ⋅ Zheng-Sen Zhou ⋅ Liangda Fang ⋅ Yongsen Zheng ⋅ Ziliang Chen
Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling
Tal Daniel ⋅ Carl Qi ⋅ Dan Haramati ⋅ Amir Zadeh ⋅ Chuan Li ⋅ Aviv Tamar ⋅ Deepak Pathak ⋅ David Held
Decoupling Primitive with Experts: Dynamic Feature Alignment for Compositional Zero-Shot Learning
Xiao Zhang ⋅ Haodong Jing ⋅ YONGQIANG MA ⋅ Nanning Zheng
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
Gabriel Y. Arteaga ⋅ Marius Aasan ⋅ Rwiddhi Chakraborty ⋅ Martine Hjelkrem-Tan ⋅ Thalles Santos Silva ⋅ Michael Kampffmeyer ⋅ Adín Ramírez Rivera
SiNGER: A Clearer Voice Distills Vision Transformers Further
Geunhyeok Yu ⋅ Sunjae Jeong ⋅ Yoonyoung Choi ⋅ Jaeseung Kim ⋅ Hyoseok Hwang
Entropy-Based Block Pruning for Efficient Large Language Models
Liangwei Yang ⋅ Yuhui Xu ⋅ Juntao Tan ⋅ Doyen Sahoo ⋅ silvio savarese ⋅ Caiming Xiong ⋅ Huan Wang ⋅ Shelby Heinecke
Domain Expansion: A Latent Space Construction Framework for Multi-Task Learning
Chi-Yao Huang ⋅ Khoa Vo ⋅ Aayush Verma ⋅ Duo Lu ⋅ Yezhou Yang
Why We Need New Benchmarks for Local Intrinsic Dimension Estimation
Piotr Tempczyk ⋅ Dominik Filipiak ⋅ Łukasz Garncarek ⋅ Ksawery Smoczynski ⋅ Adam Kurpisz
Polynomial, trigonometric, and tropical activations
Ismail Khalfaoui Hassani ⋅ Stefan Kesselheim
LORE: Jointly Learning The Intrinsic Dimensionality and Relative Similarity Structure from Ordinal Data
Vivek Anand ⋅ Alec Helbling ⋅ Mark Davenport ⋅ Gordon Berman ⋅ Sankaraleengam Alagapan ⋅ Christopher Rozell
WAVE: Learning Unified & Versatile Audio-Visual Embeddings with Multimodal LLM
Changli Tang ⋅ Qinfan Xiao ⋅ Ke Mei ⋅ Tianyi Wang ⋅ Fengyun Rao ⋅ Chao Zhang
Compositional-ARC: Assessing Systematic Generalization in Abstract Spatial Reasoning
Philipp Mondorf ⋅ Shijia Zhou ⋅ Monica Riedler ⋅ Barbara Plank
Unsupervised Representation Learning - an Invariant Risk Minimization Perspective
Yotam Norman ⋅ Ron Meir
Locality-Attending Vision Transformer
Sina Hajimiri ⋅ Farzad Beizaee ⋅ Fereshteh Shakeri ⋅ Christian Desrosiers ⋅ Ismail Ayed ⋅ Jose Dolz
Unified and Efficient Multi-view Clustering from Probabilistic Perspective
Yalan Qin ⋅ Guorui Feng
Contrastive Predictive Coding Done Right for Mutual Information Estimation
Jongha Ryu ⋅ Pavan Yeddanapudi ⋅ Xiangxiang Xu ⋅ Gregory Wornell
GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
Yixuan Tang ⋅ Yi Yang
StyliTruth : Unlocking Stylized yet Truthful LLM Generation via Disentangled Steering
Chenglei Shen ⋅ Zhongxiang Sun ⋅ Teng Shi ⋅ Xiao Zhang ⋅ Jun Xu
Learning Explicit Single-Cell Dynamics Using ODE Representations
Jan-Philipp von Bassewitz ⋅ Adeel Pervez ⋅ Marco Fumero ⋅ Matthew Robinson ⋅ THEOFANIS KARALETSOS ⋅ Francesco Locatello
A Single Architecture for Representing Invariance Under Any Space Group
Cindy Zhang ⋅ Elif Ertekin ⋅ Peter Orbanz ⋅ Ryan P Adams
Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
Patara Trirat ⋅ Wonyong Jeong ⋅ Sung Ju Hwang
DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification
Siyuan Jiang ⋅ Yihan Hu ⋅ Wenjie Li ⋅ Pengcheng Zeng
Learning a distance measure from the information-estimation geometry of data
Guy Ohayon ⋅ Pierre-Etienne Fiquet ⋅ Florentin Guth ⋅ Jona Ballé ⋅ Eero Simoncelli
Beyond Text-Only: Towards Multimodal Table Retrieval in Open-World
Da Li ⋅ Keping Bi ⋅ Jiafeng Guo ⋅ Wei Yuan ⋅ Fan Yang ⋅ Tingting Gao ⋅ Xueqi Cheng
The Lie of the Average: How Class Incremental Learning Evaluation Deceives You?
Guannan Lai ⋅ Da-Wei Zhou ⋅ Xin Yang ⋅ Han-Jia Ye
Quantized Gradient Projection for Memory-Efficient Continual Learning
Dongjun Kim ⋅ Seohyeon Cha ⋅ Huancheng Chen ⋅ Chaining Wang ⋅ Haris Vikalo
Knowledge Fusion of Large Language Models via Modular SkillPacks
Guodong DU ⋅ Zhuo Li ⋅ Xuanning Zhou ⋅ Junlin Li ⋅ Zesheng Shi ⋅ Wanyu LIN ⋅ Ho-Kin Tang ⋅ Xiucheng Li ⋅ Fangming Liu ⋅ Wenya Wang ⋅ Min Zhang ⋅ Jing Li
NEO — No-Optimization Test-Time Adaptation through Latent Re-Centering
Alexander Murphy ⋅ Michal Danilowski ⋅ Soumyajit Chatterjee ⋅ Abhirup Ghosh
Minimax-Optimal Aggregation for Density Ratio Estimation
Lukas Gruber ⋅ Markus Holzleitner ⋅ Sepp Hochreiter ⋅ Werner Zellinger
Navigating the Accuracy-Size Trade-Off with Flexible Model Merging
Akash Dhasade ⋅ Divyansh Jhunjhunwala ⋅ Milos Vujasinovic ⋅ Gauri Joshi ⋅ Anne-Marie Kermarrec
How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation.
Prabhant Singh ⋅ Sibylle Hess ⋅ Joaquin Vanschoren
VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision–Language Models
Christos Ziakas ⋅ Alessandra Russo
Following the Navigation: Enhancing Small Language Models Contextual Reasoning with LLM Guidance
Xiaoqi Ni ⋅ Jie Wang ⋅ Lin Yang ⋅ Yiyang Lu ⋅ Hanzhu Chen ⋅ Rui Liu ⋅ Jianye Hao
Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
Zhengyan Wan ⋅ Yidong Ouyang ⋅ Liyan Xie ⋅ Fang Fang ⋅ Hongyuan Zha ⋅ Guang Cheng
TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design
Geonwoo Cho ⋅ Jaegyun Im ⋅ Jihwan Lee ⋅ Hojun Yi ⋅ Sejin Kim ⋅ Sundong Kim
One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual Learning
Minh Le ⋅ Bao-Ngoc Dao ⋅ Huy Nguyen ⋅ Quyen Tran ⋅ Anh Nguyen ⋅ Nhat Ho
DUET: Optimizing LLM Training Data Mixtures via Noisy Feedback from Unseen, Downstream Evaluation Tasks
Zhiliang Chen ⋅ Gregory Kang Ruey Lau ⋅ Chuan Sheng Foo ⋅ Bryan Kian Hsiang Low
Out-of-Distribution Graph Models Merging
Yidi Wang ⋅ Ziyue Qiao ⋅ Jiawei Gu ⋅ Xubin Zheng ⋅ Pengyang Wang ⋅ pei Xiaobing ⋅ Xiao Luo
Probabilistic Kernel Function for Fast Angle Testing
Kejing Lu ⋅ Chuan Xiao ⋅ Yoshiharu Ishikawa
Path Matters: Unveiling Geometric Implicit Bias via Curvature-Aware Sparse View Optimization
Canran Xiao ⋅ Liaoyuan Fan ⋅ Yanbin Li ⋅ Jing Tang ⋅ Peilai Yu
Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning
Hongye Xu ⋅ Bartosz Krawczyk
Prompt-Robust Vision-Language Models via Meta-Finetuning
Haohui Liang ⋅ Runlin Huang ⋅ Yingjun Du ⋅ Yujia Hu ⋅ Weifeng Su ⋅ Cees G Snoek
Clustering by Denoising: Latent plug-and-play diffusion for single-cell embeddings
Dominik Meier ⋅ Shixing Yu ⋅ Sagnik Nandy ⋅ PROMIT GHOSAL ⋅ Kyra Gan
COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics
Matt Cheung ⋅ Ashok Veeraraghavan ⋅ Guha Balakrishnan
DiffBED: Scaling Bayesian Experimental Design to High-Dimensions
Adhithya Saravanan ⋅ Rik Knowles ⋅ Gavin Kerrigan ⋅ Tom Rainforth
Neural Posterior Estimation with Latent Basis Expansions
Declan McNamara ⋅ Yicun Duan ⋅ Jeffrey Regier
Post-hoc Probabilistic Vision-Language Models
Anton Baumann ⋅ Rui Li ⋅ Marcus Klasson ⋅ Santeri Mentu ⋅ Shyamgopal Karthik ⋅ Zeynep Akata ⋅ Arno Solin ⋅ Martin Trapp
Compositional amortized inference for large-scale hierarchical Bayesian models
Jonas Arruda ⋅ Vikas Pandey ⋅ Catherine Sherry ⋅ Margarida Barroso ⋅ Xavier Intes ⋅ Jan Hasenauer ⋅ Stefan Radev
Efficient Credal Prediction through Decalibration
Paul Hofman ⋅ Timo Löhr ⋅ Maximilian Muschalik ⋅ Yusuf Sale ⋅ Eyke Hüllermeier
Conformal Prediction for Long-Tailed Classification
Tiffany Ding ⋅ Jean-Baptiste Fermanian ⋅ Joseph Salmon
From Sorting Algorithms to Scalable Kernels: Bayesian Optimization in High-Dimensional Permutation Spaces
Zikai Xie ⋅ Linjiang Chen
Efficient Autoregressive Inference for Transformer Probabilistic Models
Conor Hassan ⋅ Nasrulloh Satrio ⋅ Cen-You Li ⋅ Daolang Huang ⋅ Paul Chang ⋅ Yang Yang ⋅ Francesco Silvestrin ⋅ Samuel Kaski ⋅ Luigi Acerbi
DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
Dongze Wu ⋅ Feng Qiu ⋅ Yao Xie
What (and What Not) are Calibrated Probabilities Actually Useful for?
Guoxuan Xia
PU-BENCH: A UNIFIED BENCHMARK FOR RIGOROUS AND REPRODUCIBLE PU LEARNING
Qiuyi Chen ⋅ Haiyang Zhang ⋅ Leqi Zhang ⋅ Changchun Li ⋅ Jia Wang ⋅ Wei Wang
When Shift Happens - Confounding Is to Blame
Gowtham Reddy Abbavaram ⋅ Celia Rubio-Madrigal ⋅ Rebekka Burkholz ⋅ Krikamol Muandet
Delving into Spectral Clustering with Vision-Language Representations
Bo Peng ⋅ Yuanwei Hu ⋅ Bo Liu ⋅ Ling Chen ⋅ Jie Lu ⋅ Zhen Fang
Do LLM Agents Know How to Ground, Recover, and Assess? Evaluating Epistemic Competence in Information-Seeking Agents
Jiaqi Shao ⋅ Yuxiang Lin ⋅ Munish P Lohani ⋅ Yufeng Miao ⋅ Bing Luo
Pseudo-Non-Linear Data Augmentation: A Constrained Energy Minimization Viewpoint
Pingbang Hu ⋅ Mahito Sugiyama
Summaries as Centroids for Interpretable and Scalable Text Clustering
Jairo Diaz-Rodriguez
SONATA: Synergistic Coreset Informed Adaptive Temporal Tensor Factorization
Maolin WANG ⋅ Zhiqi Li ⋅ Binhao Wang ⋅ Xuhui Chen ⋅ Tianshuo Wei ⋅ Wanyu Wang ⋅ Shikai Fang ⋅ Ruocheng Guo ⋅ Zenglin Xu ⋅ Xiangyu Zhao
AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite
Jonathan Bragg ⋅ Mike D'Arcy ⋅ Nishant Balepur ⋅ Dan Bareket ⋅ Bhavana Dalvi Mishra ⋅ Sergey Feldman ⋅ Dany Haddad ⋅ Jena Hwang ⋅ Peter Jansen ⋅ Varsha Kishore ⋅ Bodhisattwa Prasad Majumder ⋅ Aakanksha Naik ⋅ Sigal Rahamimov ⋅ Kyle Richardson ⋅ Amanpreet Singh ⋅ Harshit Surana ⋅ Aryeh Tiktinsky ⋅ Rosni Vasu ⋅ Guy Wiener ⋅ Chloe Anastasiades ⋅ Stefanus Candra ⋅ Jason Dunkelberger ⋅ Daniel Emery ⋅ Rob Evans ⋅ Malachi Hamada ⋅ Regan Huff ⋅ Rodney Kinney ⋅ Matt Latzke ⋅ Jaron Lochner ⋅ Ruben Lozano-Aguilera ⋅ Ngoc-Uyen Nguyen ⋅ Smita Rao ⋅ Amber Tanaka ⋅ Brooke Vlahos ⋅ Peter Clark ⋅ Doug Downey ⋅ Yoav Goldberg ⋅ Ashish Sabharwal ⋅ Daniel Weld
Sharing State Between Prompts and Programs
Ellie Cheng ⋅ Logan Weber ⋅ Tian Jin ⋅ Michael Carbin
Generalizing Linear Autoencoder Recommenders with Decoupled Expected Quadratic Loss
Ruixin Guo ⋅ Xinyu Li ⋅ Hao Zhou ⋅ Yang Zhou ⋅ Ruoming Jin
FRABench and UFEval: Unified Fine-grained Evaluation with Task and Aspect Generalization
Shibo Hong ⋅ jiahao ying ⋅ Haiyuan Liang ⋅ Mengdi Zhang ⋅ Jun Kuang ⋅ Jiazheng Zhang ⋅ Yixin Cao
LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis
Hangting Ye ⋅ Jinmeng Li ⋅ He Zhao ⋅ Mingchen Zhuge ⋅ Dandan Guo ⋅ Yi Chang ⋅ Hongyuan Zha
The Layered Ontology of Models, Resolving the Epistemological Crisis of AI
Zhun Sun
RADAR: Learning to Route with Asymmetry-aware Distance Representations
Hang Yi ⋅ Ziwei Huang ⋅ Yining Ma ⋅ Zhiguang Cao
Combination-of-Experts with Knowledge Sharing for Cross-Task Vehicle Routing Problems
Zikang Yu ⋅ Jinbiao Chen ⋅ Jiahai Wang
Learning to Solve Orienteering Problem with Time Windows and Variable Profits
Songqun Gao ⋅ Zanxi Ruan ⋅ Patrick Floor ⋅ Marco Roveri ⋅ Luigi Palopoli ⋅ Daniele Fontanelli
Celo: Training Versatile Learned Optimizers on a Compute Diet
Abhinav Moudgil · Boris Knyazev · Guillaume Lajoie · Eugene Belilovsky
Bilevel Optimization with Lower-Level Uniform Convexity: Theory and Algorithm
Yuman Wu ⋅ Xiaochuan Gong ⋅ Jie Hao ⋅ Mingrui Liu
LogART: Pushing the Limit of Efficient Logarithmic Post-Training Quantization
Jiawei Xu ⋅ Yi Zheng ⋅ Chenghe Sun ⋅ Taiyu Zhou ⋅ Zuqi Zhang ⋅ Jie Li ⋅ Lirong Zheng ⋅ Zhuo Zou
Hinge Regression Tree: A Newton Method for Oblique Regression Tree Splitting
Hongyi Li ⋅ Han Lin ⋅ Jun Xu
On Smoothness Bounds for Non-Clairvoyant Scheduling with Predictions
Tianming Zhao ⋅ Albert Zomaya
Generative Bayesian Optimization: Generative Models as Acquisition Functions
Rafael Oliveira ⋅ Dan Steinberg ⋅ Edwin Bonilla
Submodular Function Minimization with Dueling Oracle
Kaien Sho ⋅ Shinji Ito
Energy-Efficient Random Variate Generation via Compressed Lookup Tables
Johann Ukrow ⋅ Anna Kazachkova ⋅ Nicolas Alder ⋅ Sven Köhler ⋅ Rainer Schlosser ⋅ Ralf Herbrich
Constrained Decoding of Diffusion LLMs with Context-Free Grammars
Niels Mündler ⋅ Jasper Dekoninck ⋅ Martin Vechev
Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
Frank Wan ⋅ Lucheng Fu ⋅ Haoxin Liu ⋅ Yiqiao Jin ⋅ Hui Leong ⋅ Eric Jiang ⋅ Hejia Geng ⋅ Jinhe Bi ⋅ Yunpu Ma ⋅ Xiangru Tang ⋅ B. Aditya Prakash ⋅ Yizhou Sun ⋅ Wei Wang
Reversible Primitive–Composition Alignment for Continual Vision–Language Learning
Canran Xiao ⋅ Tianxiang Xu ⋅ SiYuan Ma ⋅ Yiyang Jiang ⋅ Haoyu Gao ⋅ Yuhan Wu
DASH: Deterministic Attention Scheduling for High-throughput Reproducible LLM Training
Xinwei Qiang ⋅ Hongmin chen ⋅ Shixuan Sun ⋅ Jingwen Leng ⋅ Xin Liu ⋅ Minyi Guo
Proving the Limited Scalability of Centralized Distributed Optimization via a New Lower Bound Construction
Alexander Tyurin
Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models
Yuhang Liu ⋅ Tao Li ⋅ Zhehao Huang ⋅ Zuopeng Yang ⋅ Xiaolin Huang
HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design
ChentongChen ⋅ Mengyuan Zhong ⋅ Jialong Shi ⋅ Jianyong Sun ⋅ Ye Fan
The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM
Kwanhee Lee ⋅ Hyeondo Jang ⋅ Dongyeop Lee ⋅ Dan Alistarh ⋅ Namhoon Lee
RepSpec: Structural Re-parameterized Draft Model Training for Speculative Decoding
FEIYE HUO ⋅ Jianchao Tan ⋅ Jiahao Liu ⋅ Zixu Jiang ⋅ Jiacheng Li ⋅ Jingang Wang ⋅ Xunliang Cai ⋅ Shengli Sun
Tighter Performance Theory of FedExProx
Wojciech Anyszka ⋅ Kaja Gruntkowska ⋅ Alexander Tyurin ⋅ Peter Richtarik
Sobolev Gradient Ascent for Optimal Transport: Barycenter Optimization and Convergence Analysis
Kaheon Kim ⋅ Bohan Zhou ⋅ Changbo Zhu ⋅ Xiaohui Chen
AdaCache: Adaptive Caching and Context Augmentation for Efficient LLM Serving
Zihao Zeng ⋅ Siyi Li ⋅ Xinyu Yan ⋅ Lei Xiao ⋅ Wei Yang Bryan Lim
MnemoDyn: Learning Resting State Dynamics from $40$K FMRI sequences
Sourav Pal ⋅ Viet Luong ⋅ Hoseok Lee ⋅ Tingting Dan ⋅ Guorong Wu ⋅ Richard Davidson ⋅ Won Hwa Kim ⋅ Vikas Singh
Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features
yulun wu ⋅ Miguel Aguiar ⋅ Karl H. Johansson ⋅ Matthieu Barreau
Sign-SGD via Parameter-Free Optimization
Daniil Medyakov ⋅ Stanko Sergey ⋅ Gleb Molodtsov ⋅ Philip Zmushko ⋅ Grigoriy Evseev ⋅ Egor Petrov ⋅ Aleksandr Beznosikov
Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
Yize Wu ⋅ KE GAO ⋅ Ling Li ⋅ Yanjun WU
Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
Ziyan Wang ⋅ Zheng Wang ⋅ Xingwei Qu ⋅ Qi Cheng ⋅ Jie Fu ⋅ Shengpu Tang ⋅ Minjia Zhang ⋅ Xiaoming Huo
SkillFactory: Self-Distillation for Learning Cognitive Behaviors
Zayne Sprague ⋅ Jack Lu ⋅ Manya Wadhwa ⋅ Sedrick Keh ⋅ Mengye Ren ⋅ Greg Durrett
RLAP-CLIP: Continual Multimodal Learning with Prototype Adaptation and Difficulty-Aware Routing
Ruikun Luo ⋅ Jiarui Wang ⋅ Yuan Gao ⋅ Jing Yang ⋅ Jieming Yang ⋅ Song Wu ⋅ Hai Jin ⋅ Xiaoyu Xia
Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource
Houyi Li ⋅ Ka Man Lo ⋅ Shijie Xuyang ⋅ Ziqi Wang ⋅ Wenzhen Zheng ⋅ Haocheng Zhang ⋅ Zhao Li ⋅ Shuigeng Zhou ⋅ Xiangyu Zhang ⋅ Daxin Jiang
ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
Federico Danieli ⋅ Pau Rodriguez ⋅ Miguel Sarabia ⋅ Xavier Suau ⋅ Luca Zappella
Equilibrium Language Models
Yikun Jiang ⋅ Huanyu Wang ⋅ Tianhong Ding ⋅ Wenhu Zhang ⋅ Yiming Wu ⋅ Hanbin Zhao ⋅ John C.S. Lui
DiaBlo: Diagonal Blocks Are Sufficient For Finetuning
Selcuk Gurses ⋅ Aozhong Zhang ⋅ Yanxia Deng ⋅ Xun Dong ⋅ Xin Li ⋅ Naigang Wang ⋅ Penghang Yin ⋅ Zi Yang
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
Chengli Tan ⋅ Yubo Zhou ⋅ Haishan Ye ⋅ Guang Dai ⋅ Junmin Liu ⋅ Zengjie Song ⋅ Jiangshe Zhang ⋅ Zixiang Zhao ⋅ Yunda Hao ⋅ Yong Xu
Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries
Divyat Mahajan ⋅ Sachin Goyal ⋅ Badr Youbi Idrissi ⋅ Mohammad Pezeshki ⋅ Ioannis Mitliagkas ⋅ David Lopez-Paz ⋅ Kartik Ahuja
Toward Principled Flexible Scaling for Self-Gated Neural Activation
Sudong Cai ⋅ Shuyuan Zheng ⋅ Bingzhi Chen ⋅ Shuai Yuan ⋅ Chuan Xiao ⋅ Jianbin Qin ⋅ Bing WANG
UNITE: Universal kNowledge Integration from Task-specific Experts
Shuxia Lin ⋅ Qiufeng Wang ⋅ xu yang ⋅ Xin Geng
Compute-Optimal Quantization-Aware Training
Aleksandr Dremov ⋅ David Grangier ⋅ Angelos Katharopoulos ⋅ Awni Hannun
LANE: Label-Aware Noise Elimination for Fine-Grained Text Classification
Tiberiu Sosea ⋅ Cornelia Caragea
Intrinsic Lorentz Neural Network
Xianglong Shi ⋅ Ziheng Chen ⋅ Yunhan Jiang ⋅ Nicu Sebe
Boolean Satisfiability via Imitation Learning
Zewei Zhang ⋅ Huan Liu ⋅ YUANHAO YU ⋅ Jun Chen ⋅ Xiangyu Xu
SAES-SVD: Self-Adaptive Suppression of Accumulated and Local Errors for SVD-based LLM Compression
Xing Hu ⋅ Dawei Yang ⋅ Yuan Cheng ⋅ Zhixuan Chen ⋅ Zukang Xu
Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models
Jinsong Li ⋅ Xiaoyi Dong ⋅ Yuhang Zang ⋅ Yuhang Cao ⋅ Jiaqi Wang ⋅ Dahua Lin
(U)NFV: (Un)Supervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
Nathan Lichtlé ⋅ Alexi Canesse ⋅ Zhe Fu ⋅ HOSSEIN MATIN ⋅ Maria Delle Monache ⋅ Alexandre M Bayen
IceCache: Memory-Efficient KV-cache Management for Long-Sequence LLMs
Yuzhen Mao ⋅ Qitong Wang ⋅ Martin Ester ⋅ Ke Li
Dataset Color Quantization: A Training-Oriented Framework for Dataset-Level Compression
YU CHENYUE ⋅ Lingao Xiao ⋅ Jinhong Deng ⋅ Ivor Tsang ⋅ Yang He
MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs
Xiaodong Chen ⋅ Mingming Ha ⋅ Zhenzhong Lan ⋅ Jing Zhang ⋅ Jianguo Li
ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
Lawrence Liu ⋅ Alexander Liu ⋅ Mengdi Wang ⋅ Tuo Zhao ⋅ Lin Yang
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs
Song Bian ⋅ Tao Yu ⋅ Shivaram Venkataraman ⋅ Youngsuk Park
FreqKV: Key-Value Compression in Frequency Domain for Context Window Extension
Jushi Kai ⋅ Yixuan Wang ⋅ Boyi Zeng ⋅ Haoli Bai ⋅ Bo Jiang ⋅ Ziwei He ⋅ Zhouhan Lin
On learning linear dynamical systems in context with attention layers
Maria-Luiza Vlǎdǎrean ⋅ Xuhui Zhang ⋅ Suvrit Sra
Identifying and Evaluating Inactive Heads in Pretrained LLMs
Pedro Sandoval-Segura ⋅ Xijun Wang ⋅ Ashwinee Panda ⋅ Micah Goldblum ⋅ Ronen Basri ⋅ Tom Goldstein ⋅ David Jacobs
Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility
Annan Yu ⋅ Danielle Maddix ⋅ Boran Han ⋅ Xiyuan Zhang ⋅ Abdul Fatir Ansari ⋅ Oleksandr Shchur ⋅ Christos Faloutsos ⋅ Andrew Gordon Wilson ⋅ Michael W Mahoney ⋅ Bernie Wang
A State-Transition Framework for Efficient LLM Reasoning
Liang Zhang ⋅ Yu Zhao ⋅ Longyue Wang ⋅ Tianqi Shi ⋅ Weihua Luo ⋅ Kaifu Zhang ⋅ Jinsong Su
Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis
Qingyue Yang ⋅ Jie Wang ⋅ Xing Li ⋅ Yinqi Bai ⋅ Tong Xialiang ⋅ Huiling Zhen ⋅ Jianye Hao ⋅ Mingxuan Yuan ⋅ Bin Li
Scaling Attention via Feature Sparsity
Yan Xie ⋅ Tiansheng Wen ⋅ Tang Da Huang ⋅ Bo Chen ⋅ Chenyu You ⋅ Stefanie Jegelka ⋅ Yifei Wang
From Collapse to Control: Understanding and Extending Context Length in Emerging Hybrid Models via Universal Position Interpolation
Haochen Shen ⋅ Davis Wertheimer ⋅ Zheng Wang ⋅ Garrett Goon ⋅ Derrick Liu ⋅ Naigang Wang ⋅ Mudhakar Srivatsa ⋅ Raghu Ganti ⋅ Minjia Zhang
Mamba-3: Improved Sequence Modeling using State Space Principles
Aakash Sunil Lahoti ⋅ Kevin Li ⋅ Berlin Chen ⋅ Caitlin Wang ⋅ Aviv Bick ⋅ Zico Kolter ⋅ Tri Dao ⋅ Albert Gu
Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Understanding
Kai Liu ⋅ Zhan Su ⋅ Peijie Dong ⋅ Fengran Mo ⋅ Jianfei Gao ⋅ Shaoting Zhang ⋅ Kai Chen
FASA: FREQUENCY-AWARE SPARSE ATTENTION
Yifei Wang ⋅ Yueqi Wang ⋅ Zhenrui Yue ⋅ Huimin Zeng ⋅ Yong Wang ⋅ Ismini Lourentzou ⋅ Zhengzhong Tu ⋅ Xiangxiang Chu ⋅ Julian McAuley
NRGPT: An Energy-based Alternative for GPT
Nima Dehmamy ⋅ Benjamin Hoover ⋅ Bishwajit Saha ⋅ Leo Kozachkov ⋅ Jean-Jacques Slotine ⋅ Dmitry Krotov
Probing Rotary Position Embeddings through Frequency Entropy
Yui Oka ⋅ Kentaro Hanafusa ⋅ Taku Hasegawa ⋅ Kyosuke Nishida ⋅ Kuniko Saito
Encoder-only Next Token Prediction
Ethan Ewer · Daewon Chae · Thomas Zeng · Jinkyu Kim · Kangwook Lee
World-In-World: World Models in a Closed-Loop World
Jiahan Zhang ⋅ Muqing Jiang ⋅ Nanru Dai ⋅ Taiming Lu ⋅ Arda Uzunoglu ⋅ Shunchi Zhang ⋅ Yana Wei ⋅ Jiahao Wang ⋅ Vishal Patel ⋅ Paul Liang ⋅ Daniel Khashabi ⋅ Cheng Peng ⋅ Rama Chellappa ⋅ Tianmin Shu ⋅ Alan Yuille ⋅ Yilun Du ⋅ Jieneng Chen
Equivariant Splitting: Self-supervised learning from incomplete data
Victor Sechaud ⋅ Jérémy Scanvic ⋅ Quentin Barthélemy ⋅ Patrice Abry ⋅ Julián Tachella
REAP the Experts: Why Pruning Prevails for One-Shot MoE compression
Mike Lasby ⋅ Ivan Lazarevich ⋅ Nish Sinnadurai ⋅ Sean Lie ⋅ Yani Ioannou ⋅ Vithursan Thangarasa
Hierarchical Multi-Scale Molecular Conformer Generation
Jiapeng Hu ⋅ Weizhi Gao ⋅ Zhichao Hou ⋅ Xiaorui Liu
Generalized Parallel Scaling with Interdependent Generations
Harry Dong ⋅ David Brandfonbrener ⋅ Eryk Helenowski ⋅ Yun He ⋅ Mrinal Kumar ⋅ Han Fang ⋅ Yuejie Chi ⋅ Karthik Abinav Sankararaman
Thinking on the Fly: Test-Time Reasoning Enhancement via Latent Thought Policy Optimization
Wengao Ye ⋅ Yan Liang ⋅ Lianlei Shan
TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization
Chia-Yu Hung ⋅ Navonil Majumder ⋅ Zhifeng Kong ⋅ Ambuj Mehrish ⋅ Amir Zadeh ⋅ Chuan Li ⋅ Rafael Valle ⋅ Bryan Catanzaro ⋅ Soujanya Poria
Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling
Christian Belardi ⋅ Justin Lovelace ⋅ Kilian Weinberger ⋅ Carla Gomes
Improving Classifier-Free Guidance in Masked Diffusion: Low-Dim Theoretical Insights with High-Dim Impact
Kevin Rojas ⋅ Ye He ⋅ Chieh-Hsin Lai ⋅ Yuhta Takida ⋅ Yuki Mitsufuji ⋅ Molei Tao
STAT: Skill-Targeted Adaptive Training
Yinghui He ⋅ Abhishek Panigrahi ⋅ Yong Lin ⋅ Sanjeev Arora
String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation
Kou Misaki ⋅ Takuya Akiba
Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification
Kimia Hamidieh ⋅ Veronika Thost ⋅ Walter Gerych ⋅ Mikhail Yurochkin ⋅ Marzyeh Ghassemi
Exploring the Design Space of Transition Matching
Uriel Singer ⋅ Yaron Lipman
Dynamic Weight Grafting: Localizing Finetuned Factual Knowledge in Transformers
Todd Nief ⋅ David Reber ⋅ Sean Richardson ⋅ Ari Holtzman
THE PATH OF LEAST RESISTANCE: GUIDING LLM REASONING TRAJECTORIES WITH PREFIX CONSENSUS
Ishan Jindal ⋅ Sai Prashanth Akuthota ⋅ Jayant Taneja ⋅ SACHIN SHARMA
SparseD: Sparse Attention for Diffusion Language Models
Zeqing Wang ⋅ Gongfan Fang ⋅ Xinyin Ma ⋅ Xingyi Yang ⋅ Xinchao Wang
Reformulation for Pretraining Data Augmentation
Hao Xintong ⋅ Rui-Jie Zhu ⋅ Ge Zhang ⋅ Ke Shen ⋅ Chenggang Li
SoFlow: Solution Flow Models for One-Step Generative Modeling
Tianze Luo ⋅ Haotian Yuan ⋅ Zhuang Liu
Structurally Human, Semantically Biased: Detecting LLM-Generated References with Embeddings and GNNs
Melika Mobini ⋅ Vincent Holst ⋅ Floriano Tori ⋅ Andres Algaba ⋅ Vincent Ginis
TEN-DM: Topology-Enhanced Diffusion Model for Spatio-Temporal Event Prediction
Yuxin Liu ⋅ Kaiming Wang ⋅ Chenguang Yang ⋅ Yulia Gel ⋅ Yuzhou Chen
e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
Amrith Setlur ⋅ Matthew Yang ⋅ Charlie Snell ⋅ Jeremiah Greer ⋅ Ian Wu ⋅ Virginia Smith ⋅ Max Simchowitz ⋅ Aviral Kumar
Energy-Based Transformers are Scalable Learners and Thinkers
Alexi Gladstone ⋅ Ganesh Nanduru ⋅ Md Mofijul Islam ⋅ Peixuan Han ⋅ Hyeonjeong Ha ⋅ Aman Chadha ⋅ Yilun Du ⋅ Heng Ji ⋅ Jundong Li ⋅ Tariq Iqbal
DiffInk: Glyph- and Style-Aware Latent Diffusion Transformer for Text to Online Handwriting Generation
Wei Pan ⋅ Huiguo He ⋅ Hiuyi Cheng ⋅ Yilin Shi ⋅ Lianwen Jin
Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts
Ammar Ahmed ⋅ Azal Ahmad Khan ⋅ Ayaan Ahmad ⋅ Sheng Di ⋅ Zirui Liu ⋅ Ali Anwar
A Study of Posterior Stability in Time-Series Latent Diffusion
Yangming Li ⋅ Yixin Cheng ⋅ Mihaela van der Schaar
Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
Jatan Shrestha ⋅ Santeri Heiskanen ⋅ Kari Hepola ⋅ Severi Rissanen ⋅ Pekka Jääskeläinen ⋅ Joni Pajarinen
The Diffusion Duality, Chapter II: $\Psi$-Samplers and Efficient Curriculum
Justin Deschenaux ⋅ Caglar Gulcehre ⋅ Subham Sekhar Sahoo
Generative Modeling from Black-Box Corruptions via Self-Consistent Stochastic Interpolants
Chirag Modi ⋅ Jiequn Han ⋅ Eric Vanden-Eijnden ⋅ Joan Bruna
FlashDLM: Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion
Zhanqiu Hu ⋅ Jian Meng ⋅ Yash Akhauri ⋅ Mohamed Abdelfattah ⋅ Jae-sun Seo ⋅ Zhiru Zhang ⋅ Udit Gupta
Learning to Reason Efficiently with Discounted Reinforcement Learning
Alex Ayoub ⋅ Kavosh Asadi ⋅ Dale Schuurmans ⋅ Csaba Szepesvari ⋅ Karim Bouyarmane
Flower: A Flow-Matching Solver for Inverse Problems
Mehrsa Pourya ⋅ Bassam El Rawas ⋅ Michael Unser
Stopping Computation for Converged Tokens in Masked Diffusion-LM Decoding
Daisuke Oba ⋅ Danushka Bollegala ⋅ Masahiro Kaneko ⋅ Naoaki Okazaki
Sample Reward Soups: Query-efficient Multi-Reward Guidance for Text-to-Image Diffusion Models
Yinghua Yao ⋅ Yuangang Pan ⋅ Guoji Fu ⋅ Ivor Tsang
ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models
Akshat Ramachandran ⋅ Marina Neseem ⋅ Charbel Sakr ⋅ Rangharajan Venkatesan ⋅ Brucek Khailany ⋅ Tushar Krishna
Soft-Masked Diffusion Language Models
Michael Hersche ⋅ Samuel Moor-Smith ⋅ Thomas Hofmann ⋅ Abbas Rahimi
Diverse Text-to-Image Generation via Contrastive Noise Optimization
Byungjun Kim ⋅ Soobin Um ⋅ Jong Chul YE
Shift-and-Sum Quantization for Visual Autoregressive Models
Jaehyeon Moon ⋅ Bumsub Ham
RADAR: Reasoning-Ability and Difficulty-Aware Routing for Reasoning LLMs
Nigel Steven Fernandez ⋅ Branislav Kveton ⋅ Ryan Rossi ⋅ Andrew Lan ⋅ Jack Wang
Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation
Bowei He ⋅ Yankai Chen ⋅ Xiaokun Zhang ⋅ Linghe Kong ⋅ Philip Yu ⋅ Xue Liu ⋅ Chen Ma
Composition of Pretrained Diffusion Models: A Logic-Based Calculus
Peter Blohm ⋅ Vikas Garg
Antithetic Noise in Diffusion Models
Jing Jia ⋅ Sifan Liu ⋅ Bowen Song ⋅ Wei Yuan ⋅ Liyue Shen ⋅ Guanyang Wang
Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function
Hyeongyu Kang ⋅ Jaewoo Lee ⋅ Woocheol Shin ⋅ Kiyoung Om ⋅ Jinkyoo Park
VFScale: Intrinsic Reasoning through Verifier-Free Test-time Scalable Diffusion Model
Tao Zhang ⋅ Jia-Shu Pan ⋅ Ruiqi Feng ⋅ Tailin Wu
SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows
Janik Kreit ⋅ Dominic Schuh ⋅ Kim A. Nicoli ⋅ Lena Funcke
Robust Generalized Schr\"{o}dinger Bridge via Sparse Variational Gaussian Processes
Minyoung Kim
SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
Haoye Lu ⋅ Haoye Lu ⋅ Darren Lo
MrRoPE: Mixed-radix Rotary Position Embedding
Qingyuan Tian ⋅ Wenhong Zhu ⋅ Xiaoran Liu ⋅ Xiaofeng Wang ⋅ Rui Wang
Dual-Solver: A Generalized ODE Solver for Diffusion Models with Dual Prediction
Soochul Park ⋅ Yeon Ju Lee
Learning Ordinal Probabilistic Reward from Preferences
Longze Chen ⋅ Lu Wang ⋅ Renke Shan ⋅ Ze Gong ⋅ Run Luo ⋅ Jiaming Li ⋅ Jing Luo ⋅ Qiyao Wang ⋅ Min Yang
Dynamic Multi-sample Mixup with Gradient Exploration for Open-set Graph Anomaly Detection
Caiyang Yu ⋅ Wei Ju ⋅ Haixin Wang ⋅ Yifan Wang ⋅ Ziyue Qiao
Adaptive Mixture of Disentangled Experts for Dynamic Graph Out-of-Distribution Generalization
Chen Haibo ⋅ Xin Wang ⋅ Guanheng Chen ⋅ Yuan Meng ⋅ Haoyang Li ⋅ Yang Yao ⋅ Zeyang Zhang ⋅ Zhiqiang Zhang ⋅ JUN ZHOU ⋅ Ling Feng ⋅ Wenwu Zhu
Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models
Yunan Wang ⋅ Jianxin Li ⋅ Ziwei Zhang
Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs
Yisen Gao ⋅ Jiaxin Bai ⋅ Tianshi Zheng ⋅ Ziwei Zhang ⋅ Qingyun Sun ⋅ Xingcheng Fu ⋅ Jianxin Li ⋅ Yangqiu Song
PolyGraph Discrepancy: a classifier-based metric for graph generation
Markus Krimmel ⋅ Philip Hartout ⋅ Karsten Borgwardt ⋅ Dexiong Chen
Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells
Mattie Ji ⋅ Indradyumna Roy ⋅ Vikas Garg
TGM: A Modular and Efficient Library for Machine Learning on Temporal Graphs
Jacob Chmura ⋅ Shenyang(Andy) Huang ⋅ Tran Gia Bao Ngo ⋅ Ali Parviz ⋅ Farimah Poursafaei ⋅ Jure Leskovec ⋅ Michael Bronstein ⋅ Guillaume Rabusseau ⋅ Matthias Fey ⋅ Reihaneh Rabbany
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
Ya-Wei Eileen Lin ⋅ Ron Levie
Is Graph Unlearning Ready for Practice? A Benchmark on Efficiency, Utility, and Forgetting
Samyak Jain ⋅ Ronak Kalvani ⋅ sainyam galhotra ⋅ Sayan Ranu
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
Huidong Liang ⋅ Haitz Sáez de Ocáriz Borde ⋅ Baskaran Sripathmanathan ⋅ Michael Bronstein ⋅ Xiaowen Dong
: One LLM Token for Explicit Graph Structural Understanding
Jingyao Wu ⋅ Bin Lu ⋅ Zijun Di ⋅ Xiaoying Gan ⋅ Meng Jin ⋅ Luoyi Fu ⋅ Xinbing Wang ⋅ Chenghu Zhou
Differentiable Lifting for Topological Neural Networks
Jorge Franco ⋅ Gabriel Duarte ⋅ Alexander Nikitin ⋅ Moacir Ponti ⋅ Diego Mesquita ⋅ Amauri Souza
Temporal Graph Thumbnail: Robust Representation Learning with Global Evolutionary Skeleton
Weining Shi ⋅ Zhisen Wen ⋅ Qinggang Zhang ⋅ Chentao Zhang ⋅ Zhihong Zhang
Paradigm Shift of GNN Explainer from Label Space to Prototypical Representation Space
Jun Yin ⋅ Senzhang Wang ⋅ Ziluowen Luo ⋅ Peng Huo ⋅ Hao Yan ⋅ Hao Miao ⋅ Chaozhuo Li ⋅ Shirui Pan ⋅ Chengqi Zhang
A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
Jinkyu Sung ⋅ Myunggeum Jee ⋅ Joonseok Lee
Rethinking the Gold Standard: Why Discrete Curvature Fails to Fully Capture Over-squashing in GNNs?
Jialong Chen ⋅ Bowen Deng ⋅ Zibin Zheng ⋅ Chuan Chen
Oversmoothing, "Oversquashing'', Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
Adrián Arnaiz-Rodríguez ⋅ Federico Errica
A Graph Meta-Network for Learning on Kolmogorov–Arnold Networks
Guy Bar-Shalom ⋅ Ami Tavory ⋅ Itay Evron ⋅ Maya Bechler-Speicher ⋅ Ido Guy ⋅ Haggai Maron
Federated Graph-Level Clustering Network with Dual Knowledge Separation
Xiaobao Wang ⋅ Renda Han ⋅ Ronghao Fu ⋅ Di Jin
The Logical Expressiveness of Topological Neural Networks
Amirreza Akbari ⋅ Amauri Souza ⋅ Vikas Garg
Relational Graph Transformer
Vijay Prakash Dwivedi ⋅ Sri Jaladi ⋅ Yangyi Shen ⋅ Federico Lopez ⋅ Charilaos Kanatsoulis ⋅ Rishi Puri ⋅ Matthias Fey ⋅ Jure Leskovec
Adaptive Mesh Quantization for Neural PDE Solvers
Winfried van den Dool · Maksim Zhdanov · Yuki M. Asano · Max Welling
Bilateral Information-aware Test-time Adaptation for Vision-Language Models
Jingwei Sun ⋅ Jianing ZHU ⋅ Jiangchao Yao ⋅ Gang Niu ⋅ Masashi Sugiyama ⋅ Bo Han
Dual Randomized Smoothing: Beyond Global Noise Variance
Chenhao Sun ⋅ Yuhao Mao ⋅ Martin Vechev
Contamination Detection for VLMs Using Multi‑Modal Semantic Perturbations
Jaden Park ⋅ Mu Cai ⋅ Feng Yao ⋅ Jingbo Shang ⋅ Soochahn Lee ⋅ Yong Jae Lee
Are Reasoning LLMs Robust to Interventions on their Chain-of-Thought?
Alexander von Recum ⋅ Leander Girrbach ⋅ Zeynep Akata
VERIFY: A Novel Multi-Domain Dataset Grounding LTL in Contextual Natural Language via Provable Intermediate Logic
Paapa Quansah ⋅ Pablo Rivas ⋅ Ernest Bonnah
Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness
Subeen Park ⋅ JOOWANG KIM ⋅ Hakyung Lee ⋅ Sunjae yoo ⋅ Kyungwoo Song
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation
Shojiro Yamabe ⋅ Kazuto Fukuchi ⋅ Jun Sakuma
Capability-Based Scaling Trends for LLM-Based Red-Teaming
Alexander Panfilov ⋅ Paul Kassianik ⋅ Maksym Andriushchenko ⋅ Jonas Geiping
Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation
Alessio Giorlandino ⋅ Sebastian Goldt
Closed-form $\ell_r$ norm scaling with data for overparameterized linear regression and diagonal linear networks under $\ell_p$ bias
Shuofeng Zhang ⋅ Ard Louis
Beyond Spectra: Eigenvector Overlaps in Loss Geometry
Gabriel Mel
Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian
Yiran Zhang ⋅ Weihang Xu ⋅ Mo Zhou ⋅ Maryam Fazel ⋅ Simon Du
Memorizing Long-tail Data Can Help Generalization Through Composition
Mo Zhou ⋅ Haoyang Ma ⋅ Rong Ge
Deterministic Bounds and Random Estimates of Metric Tensors on Neuromanifolds
Ke Sun
The Effect of Attention Head Count on Transformer Approximation
Penghao Yu ⋅ Haotian Jiang ⋅ Zeyu Bao ⋅ Ruoxi Yu ⋅ Qianxiao Li
Theoretical Modeling of Large Language Model Self-Improvement Training Dynamics Through Solver-Verifier Gap
Yifan Sun ⋅ Yushan Liang ⋅ Zhen Zhang ⋅ Xin Liu ⋅ Jiaye Teng
Language Models are Injective and Hence Invertible
Giorgos Nikolaou ⋅ Tommaso Mencattini ⋅ Donato Crisostomi ⋅ Andrea Santilli ⋅ Yannis Panagakis ⋅ Emanuele Rodolà
Training-Free Determination of Network Width via Neural Tangent Kernel
Tatsumi Sunada ⋅ Toshihiko Yamasaki ⋅ Atsuto Maki
Deep Hierarchical Learning with Nested Subspace Networks for Large Language Models
Paulius Rauba ⋅ Mihaela van der Schaar
MOSS: Efficient and Accurate FP8 LLM Training with Microscaling and Automatic Scaling
Yu Zhang ⋅ Huiling Zhen ⋅ Mingxuan Yuan ⋅ Bei Yu
CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting
Jiyuan Xu ⋅ Wenyu Zhang ⋅ Xin Jing ⋅ Jiahao Nie ⋅ Shuai Chen ⋅ Shuai Zhang
From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
Chen Shani ⋅ Liron Soffer ⋅ Dan Jurafsky ⋅ Yann LeCun ⋅ Ravid Shwartz-Ziv
Gradient Intrinsic Dimensionality Alignment：Narrowing The Gap Between Low-Rank Adaptation and Full Fine-Tuning
Jingqi Ye ⋅ Haonan He ⋅ Minglei Li ⋅ Fujun Han ⋅ Tao Chen ⋅ Peng Ye
Cutting the Skip: Training Residual-Free Transformers
Yiping Ji ⋅ James Martens ⋅ Jianqiao Zheng ⋅ Ziqin Zhou ⋅ Peyman Moghadam ⋅ Xinyu Zhang ⋅ Hemanth Saratchandran ⋅ Simon Lucey
Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining
Dongyang Fan ⋅ Diba Hashemi ⋅ Sai Karimireddy ⋅ Martin Jaggi
AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators
Changzhi Zhou ⋅ Ao Liu ⋅ Yuchi Deng ⋅ Zhiying Zeng ⋅ Tao Zhang ⋅ Haotian Zhu ⋅ Jianwei Cai ⋅ Yue Mao ⋅ Chenchen Zhang ⋅ Lingyun Tan ⋅ ZiyanXU ⋅ Bohui Zhai ⋅ HengyiLIu ⋅ Speed Zhu ⋅ Wiggin Zhou ⋅ Fengzong Lian
FAME: Formal Abstract Minimal Explanation for Neural Networks
Ryma Boumazouza ⋅ Raya Elsaleh ⋅ Melanie Ducoffe ⋅ Shahaf Bassan ⋅ Guy Katz
Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations
Zichao Li ⋅ Gang Wu ⋅ Jack Wang ⋅ Ruiyi Zhang ⋅ Wanrong Zhu ⋅ Ryan Rossi ⋅ Vlad Morariu ⋅ Jihyung Kil
SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
Jianmin Liu ⋅ Li Yan ⋅ Borui Li ⋅ Lei Yu ⋅ Chao Shen
FlexLinearAttention: Compiling a Unified Abstraction into Scalable Kernels for Linear Attention
Haojie Duanmu ⋅ Size Zheng ⋅ Ningxin Zheng ⋅ Jianqiao Lu ⋅ Xuegui Zheng ⋅ Xingcheng Zhang ⋅ Li-Wen Chang ⋅ Xin Liu ⋅ Dahua Lin
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Ang Lv ⋅ Jin Ma ⋅ Yiyuan Ma ⋅ Siyuan Qiao
The Curious Case of In-Training Compression of State Space Models
Makram Chahine ⋅ Philipp Nazari ⋅ Daniela Rus ⋅ T. Konstantin Rusch
Denoising Neural Reranker for Recommender Systems
Wenyu Mao ⋅ Shuchang Liu ⋅ HailanYang ⋅ Xiaobei Wang ⋅ Xiaoyu Yang ⋅ Xu Gao ⋅ Xiang Li ⋅ Lantao Hu ⋅ Han Li ⋅ Kun Gai ⋅ An Zhang ⋅ Xiang Wang
Cut Less, Fold More: Model Compression through the Lens of Projection Geometry
Olga Saukh ⋅ Dong Wang ⋅ Haris Šikić ⋅ Yun Cheng ⋅ Lothar Thiele
The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation
Ruichen Zhang ⋅ Rana Muhammad Shahroz Khan ⋅ Zhen Tan ⋅ Dawei Li ⋅ Song Wang ⋅ Tianlong Chen
DynamicInfer: Runtime-Aware Sparse Offloading for LLMs Inference on a Consumer-Grade GPU
Zhui Zhu ⋅ Weichen Zhang ⋅ Zhenghan Zhou ⋅ Yunhao Liu ⋅ Fan Dang
On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
Rongguang Ye ⋅ Ming Tang ⋅ Edith Ngai
OpenThoughts: Data Recipes for Reasoning Models
Etash Guha ⋅ Ryan Marten ⋅ Sedrick Keh ⋅ Negin Raoof ⋅ Georgios Smyrnis ⋅ Hritik Bansal ⋅ Marianna Nezhurina ⋅ Jean Mercat ⋅ Trung Vu ⋅ Zayne Sprague ⋅ Ashima Suvarna ⋅ Benjamin Feuer ⋅ Leon Liangyu Chen ⋅ Zaid Khan ⋅ Eric Frankel ⋅ Sachin Grover ⋅ Caroline Choi ⋅ Niklas Muennighoff ⋅ Shiye Su ⋅ Wanjia Zhao ⋅ John Yang ⋅ Shreyas Pimpalgaonkar ⋅ Kartik sharma ⋅ Charlie Ji ⋅ Yichuan Deng ⋅ Sarah Pratt ⋅ Vivek Ramanujan ⋅ Jon Saad-Falcon ⋅ Stutee Acharya ⋅ Jeffrey Li ⋅ Achal Dave ⋅ Alon Albalak ⋅ Kushal Arora ⋅ Blake Wulfe ⋅ Chinmay Hegde ⋅ Greg Durrett ⋅ Sewoong Oh ⋅ Mohit Bansal ⋅ Saadia Gabriel ⋅ Aditya Grover ⋅ Kai-Wei Chang ⋅ Vaishaal Shankar ⋅ Aaron Gokaslan ⋅ Mike Merrill ⋅ Tatsunori Hashimoto ⋅ Yejin Choi ⋅ Jenia Jitsev ⋅ Reinhard Heckel ⋅ Maheswaran Sathiamoorthy ⋅ Alex Dimakis ⋅ Ludwig Schmidt
Chessformer: A Unified Architecture for Chess Modeling
Daniel Monroe ⋅ George Eilender ⋅ Philip Chalmers ⋅ Zhenwei Tang ⋅ Ashton Anderson
LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
Wenkai Yang ⋅ Weijie Liu ⋅ Ruobing Xie ⋅ Yiju Guo ⋅ Lulu Wu ⋅ Saiyong Yang ⋅ Yankai Lin
Dynamic Parameter Reuse Augments Reasoning via Latent Chain of Thought
Kaitlin Maile ⋅ Joao Sacramento
Learning Flexible Forward Trajectories for Masked Molecular Diffusion
Hyunjin Seo ⋅ Taewon Kim ⋅ Sihyun Yu ⋅ Sungsoo Ahn
PRISM: Enhancing PRotein Inverse Folding through Fine- Grained Retrieval on Structure-Sequence Multimodal Representations
Sazan Mahbub ⋅ Souvik Kundu ⋅ Eric P Xing
Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
Xinzhe Yuan ⋅ Zhuo Chen ⋅ Jianshu Zhang ⋅ Huan Xiong ⋅ Nanyang Ye ⋅ Yuqiang Li ⋅ Qinying Gu
Global and Local Topology-Aware Graph Generation via Dual Conditioning Diffusion
Yuhang Xie ⋅ Sinno Jialin Pan
AFD-INSTRUCTION: A Comprehensive Antibody Instruction Dataset with Functional Annotations for LLM-Based Understanding and Design
Ling Luo ⋅ Wenbin Jiang ⋅ Hongyuan Chang ⋅ Xinkang Wang ⋅ Xushi Zhang ⋅ Yueting Xiong ⋅ Mengsha Tong ⋅ Rongshan Yu
FALCON: Few-step Accurate Likelihoods for Continuous Flows
Danyal Rehman ⋅ Tara Akhound-Sadegh ⋅ Artem Gazizov ⋅ Yoshua Bengio ⋅ Alexander Tong
Learning Molecular Chirality via Chiral Determinant Kernels
Runhan Shi ⋅ Zhicheng Zhang ⋅ Letian Chen ⋅ Gufeng Yu ⋅ Yang Yang
Multi-state Protein Sequence Design with DynamicMPNN
Alex Abrudan ⋅ Sebastian Pujalte Ojeda ⋅ Chaitanya Joshi ⋅ Matthew Greenig ⋅ Felipe Engelberger ⋅ Alena Khmelinskaia ⋅ Jens Meiler ⋅ Michele Vendruscolo ⋅ Tuomas Knowles
Controllable diffusion-based generation for multi-channel biological data
Haoran Zhang ⋅ Mingyuan Zhou ⋅ Wesley Tansey
Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection
Siyuan Chen ⋅ Minghao Guo ⋅ Caoliwen Wang ⋅ Anka He Chen ⋅ Yikun Zhang ⋅ Jingjing Chai ⋅ Yin Yang ⋅ Wojciech Matusik ⋅ Peter Yichen Chen
Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation
Changxi Chi ⋅ Jun Xia ⋅ Yufei Huang ⋅ Zhuoli Ouyang ⋅ Cheng Tan ⋅ Yunfan Liu ⋅ Jingbo Zhou ⋅ Chang Yu ⋅ Liangyu Yuan ⋅ Siyuan Li ⋅ Zelin Zang ⋅ Stan Z Li
VCWorld: A Biological World Model for Virtual Cell Simulation
Zhijian Wei ⋅ Runze Ma ⋅ Zichen Wang ⋅ Zhongmin Li ⋅ Shuotong Song ⋅ Shuangjia Zheng
Controllable Sequence Editing for Biological and Clinical Trajectories
Michelle M. Li ⋅ Kevin Li ⋅ Yasha Ektefaie ⋅ Ying Jin ⋅ Yepeng Huang ⋅ Shvat Messica ⋅ Tianxi Cai ⋅ Marinka Zitnik
Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding
Jiarui Li ⋅ Zixiang Yin ⋅ Haley Smith ⋅ Zhengming Ding ⋅ Samuel Landry ⋅ Ramgopal Mettu
scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
Chenglei Yu ⋅ Chuanrui Wang ⋅ Bangyan Liao ⋅ Tailin Wu
Fast Proteome-Scale Protein Interaction Retrieval via Residue-Level Factorization
Jianan Zhao ⋅ Zhihao Zhan ⋅ Narendra Chaudhary ⋅ Xinyu Yuan ⋅ Zuobai Zhang ⋅ Qian Cong ⋅ Jian Zhou ⋅ Sanchit Misra ⋅ Jian Tang
Adaptive Data-Knowledge Alignment in Genetic Perturbation Prediction
Yuanfang Xiang ⋅ Lun Ai
GALAX: Graph-Augmented Language Model for Explainable Reinforcement-Guided Subgraph Reasoning in Precision Medicine
Heming Zhang ⋅ Di Huang ⋅ Wenyu Li ⋅ Michael Province ⋅ Yixin Chen ⋅ Philip Payne ⋅ Fuhai Li
One protein is all you need
Anton Bushuiev ⋅ Roman Bushuiev ⋅ Olga Pimenova ⋅ Nikola Zadorozhny ⋅ Raman Samusevich ⋅ Elisabet Manaskova ⋅ Rachel Seongeun Kim ⋅ Hannes Stärk ⋅ Jiri Sedlar ⋅ Martin Steinegger ⋅ Tomas Pluskal ⋅ Josef Sivic
Tokenization to Transfer: Do Genomic Foundation Models Learn Good Representations?
Kirill Vishniakov ⋅ Karthik Viswanathan ⋅ Aleksandr Medvedev ⋅ Praveenkumar Kanithi ⋅ Marco Pimentel ⋅ Ronnie Rajan ⋅ Shadab Khan
From Medical Records to Diagnostic Dialogues: A Clinical-Grounded Approach and Dataset for Psychiatric Comorbidity
Tianxi Wan ⋅ Jiaming Luo ⋅ Siyuan Chen ⋅ Kunyao Lan ⋅ Jianhua Chen ⋅ Haiyang Geng ⋅ Mengyue Wu
Bridging Radiology and Pathology Foundation Models via Concept-Based Multimodal Co-Adaptation
Yihang Chen ⋅ Yanyan Huang ⋅ Fuying Wang ⋅ Maximus Yeung ⋅ Yuming Jiang ⋅ Shujun Wang ⋅ Lequan Yu
MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science
Ran Xu ⋅ Yuchen Zhuang ⋅ Yishan Zhong ⋅ Yue Yu ⋅ Zifeng Wang ⋅ Xiangru Tang ⋅ Hang Wu ⋅ May Dongmei Wang ⋅ Peifeng Ruan ⋅ Donghan Yang ⋅ Tao Wang ⋅ Guanghua Xiao ⋅ Xin Liu ⋅ Carl Yang ⋅ Yang Xie ⋅ Wenqi Shi
Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis
Pengfei ZHANG ⋅ Tianxin Xie ⋅ Minghao Yang ⋅ Li Liu
Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis
Yilan Zhang ⋅ Li Nanbo ⋅ Changchun Yang ⋅ Jürgen Schmidhuber ⋅ Xin Gao
M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding
Juntao Jiang ⋅ Jiangning Zhang ⋅ Yali bi ⋅ BAI Jinsheng ⋅ Weixuan Liu ⋅ Weiwei Jin ⋅ Zhucun Xue ⋅ Yong Liu ⋅ Xiaobin Hu ⋅ Shuicheng YAN
MASAM: Multimodal Adaptive Sharpness-Aware Minimization for Heterogeneous Data Fusion
ZIjie CHEN ⋅ Kejing Yin ⋅ Wenfang Yao ⋅ William Kwok-wai Cheung ⋅ Jing Qin
Unified Brain Surface and Volume Registration
Mazdak Abulnaga ⋅ Andrew Hoopes ⋅ Malte Hoffmann ⋅ Robin Magnet ⋅ Maks Ovsjanikov ⋅ Lilla Zollei ⋅ John Guttag ⋅ Bruce Fischl ⋅ Adrian Dalca
Reliable Evaluation of MRI Motion Correction: Dataset and Insights
Kun Wang ⋅ Tobit Klug ⋅ Stefan Ruschke ⋅ Jan Kirschke ⋅ Reinhard Heckel
Physics vs Distributions: Pareto Optimal Flow Matching with Physics Constraints
Giacomo Baldan ⋅ Qiang Liu ⋅ Alberto Guardone ⋅ Nils Thuerey
CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
Haining Pan ⋅ James Roggeveen ⋅ Erez Berg ⋅ Juan Alvarez ⋅ Debanjan Chowdhury ⋅ Surya Ganguli ⋅ Federico Ghimenti ⋅ Juraj Hasik ⋅ Henry Hunt ⋅ Hong-Chen Jiang ⋅ Mason Kamb ⋅ Ying-Jer Kao ⋅ Ehsan Khatami ⋅ Michael Lawler ⋅ Di Luo ⋅ Titus Neupert ⋅ Xiaoliang Qi ⋅ Michael Brenner ⋅ Eun-Ah Kim
Si-GT: Fast Interconnect Signal Integrity Analysis for Integrated Circuit Design via Graph Transformers
Yuting Hu ⋅ Tarek Mohamed ⋅ Chenhui Xu ⋅ Hua Xiang ⋅ Hussam Amrouch ⋅ Gi-Joon Nam ⋅ Jinjun Xiong
Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning
Youngwoo Cho ⋅ Seunghoon Yi ⋅ Wooil Yang ⋅ Sungmo Kang ⋅ Young-Woo Son ⋅ Jaegul Choo ⋅ Joonseok Lee ⋅ Soo Kyung Kim ⋅ Hongkee Yoon
MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation
Zhe Feng ⋅ Shilong Tao ⋅ Haonan Sun ⋅ Shaohan Chen ⋅ Zhanxing Zhu ⋅ Yunhuai Liu
Panda: A pretrained forecast model for chaotic dynamics
Jeffrey Lai ⋅ Anthony Bao ⋅ William Gilpin
Generalized Spherical Neural Operators: Green’s Function Formulation
Hao Tang ⋅ Hao Chen ⋅ Chao Li
End-to-End Probabilistic Framework for Learning with Hard Constraints
Utkarsh Utkarsh ⋅ Danielle Maddix ⋅ Ruijun Ma ⋅ Michael W Mahoney ⋅ Bernie Wang
Incomplete Data, Complete Dynamics: A Diffusion Approach
Zihan Zhou ⋅ Chenguang Wang ⋅ Hongyi Ye ⋅ Yongtao Guan ⋅ Tianshu Yu
Fast Convergence of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks
Xianliang Xu ⋅ Wang Kong ⋅ Jiaheng Mao ⋅ Zhongyi Huang ⋅ Ye Li
Enhancing Stability of Physics-Informed Neural Network Training Through Saddle-Point Reformulation
Dmitry Bylinkin ⋅ Mikhail Aleksandrov ⋅ Savelii Chezhegov ⋅ Aleksandr Beznosikov
DGNet: Discrete Green Networks for Data-Efficient Learning of Spatiotemporal PDEs
Yingjie Tan ⋅ Quanming Yao ⋅ Yaqing Wang
A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
Thibaut Germain ⋅ Rémi Flamary ⋅ Vladimir Kostic ⋅ Karim Lounici
LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations
Pengpeng Xiao ⋅ Phillip Si ⋅ Peng Chen
PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning
Wanjia Zhao ⋅ Qinwei (Martin) Ma ⋅ Jingzhe Shi ⋅ Shirley Wu ⋅ Jiaqi Han ⋅ Yijia Xiao ⋅ Si-Yuan Chen ⋅ Xiao Luo ⋅ Ludwig Schmidt ⋅ James Y Zou
Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI
Bogdan Raonic ⋅ Siddhartha Mishra ⋅ Samuel Lanthaler
Tensor learning with orthogonal, Lorentz, and symplectic symmetries
Wilson Gregory ⋅ Josué Tonelli-Cueto ⋅ Nicholas Marshall ⋅ Andrew S Lee ⋅ Soledad Villar
Discretisation invariance
Vladimir Fanaskov ⋅ Ivan Oseledets
Contact-guided Real2Sim from Monocular Video with Planar Scene Primitives
Zihan Wang ⋅ Jiashun Wang ⋅ Jeff Tan ⋅ Yiwen Zhao ⋅ Jessica Hodgins ⋅ Shubham Tulsiani ⋅ Deva Ramanan
Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
Moo Jin Kim ⋅ Yihuai Gao ⋅ Tsung-Yi Lin ⋅ Yen-Chen Lin ⋅ Yunhao Ge ⋅ Grace Lam ⋅ Percy Liang ⋅ Shuran Song ⋅ Ming-Yu Liu ⋅ Chelsea Finn ⋅ Jinwei Gu
OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning
Fanqi Lin ⋅ Ruiqian Nai ⋅ Yingdong Hu ⋅ Jiacheng You ⋅ Junming Zhao ⋅ Yang Gao
RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots
Soroush Nasiriany ⋅ Sep Nasiriany ⋅ Abhiram Maddukuri ⋅ Yuke Zhu
Vid2World: Crafting Video Diffusion Models to Interactive World Models
Siqiao Huang ⋅ Jialong Wu ⋅ Qixing Zhou ⋅ Shangchen Miao ⋅ Mingsheng Long
Flash-Mono: Feed-Forward Accelerated Gaussian Splatting Monocular SLAM
Zicheng Zhang ⋅ Ke Wu ⋅ Xiangting Meng ⋅ Keyu Liu ⋅ Jieru Zhao ⋅ Wenchao Ding
BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
Yitang Li ⋅ Zhengyi Luo ⋅ Tonghe Zhang ⋅ Cunxi Dai ⋅ Anssi Kanervisto ⋅ Andrea Tirinzoni ⋅ Haoyang Weng ⋅ Kris Kitani ⋅ Mateusz Guzek ⋅ Ahmed Touati ⋅ Alessandro Lazaric ⋅ Matteo Pirotta ⋅ Guanya Shi
TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
HoKyun Im ⋅ Euijin Jeong ⋅ Andrey Kolobov ⋅ Jianlong Fu ⋅ Youngwoon Lee
SLAP: Shortcut Learning for Abstract Planning
Y. Isabel Liu ⋅ Bowen Li ⋅ Benjamin Eysenbach ⋅ Tom Silver
UniHM: Unified Dexterous Hand Manipulation with Vision Language Model
Zhenhao Zhang ⋅ Jiaxin Liu ⋅ Ye Shi ⋅ Jingya Wang
DEAS: DEtached value learning with Action Sequence for Scalable Offline RL
Changyeon Kim ⋅ Haeone Lee ⋅ Younggyo Seo ⋅ Kimin Lee ⋅ Yuke Zhu
Compositional Diffusion with Guided search for Long-Horizon Planning
Utkarsh Mishra ⋅ David He ⋅ Yongxin Chen ⋅ Danfei Xu
OccDriver: Future Occupancy Guided Dual-branch Trajectory Planner in Autonomous Driving
Zhao Huang ⋅ Bowen Zhang ⋅ Zhongzhu Li ⋅ Di Lin
BOLT: Decision‑Aligned Distillation and Budget-Aware Routing for Constrained Multimodal QA on Robots
Tengjun Ni ⋅ Xin Yuan ⋅ Shenghong Li ⋅ Kai Wu ⋅ Ren Liu ⋅ Wei Ni ⋅ Wenjie Zhang
RL of Thoughts: Navigating LLM Reasoning with Inference-time Reinforcement Learning
Qianyue Hao ⋅ Sibo Li ⋅ Jian Yuan ⋅ Yong Li
D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
Suhwan Choi ⋅ Jaeyoon Jung ⋅ Haebin Seong ⋅ Minchan Kim ⋅ Minyeong Kim ⋅ Yongjun Cho ⋅ Yoonshik Kim ⋅ Yu Park ⋅ Youngjae Yu ⋅ Yunsung Lee
JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation
Shuang Zeng ⋅ Dekang Qi ⋅ Xinyuan Chang ⋅ Feng Xiong ⋅ Shichao Xie ⋅ Xiaolong Wu ⋅ Shiyi Liang ⋅ Mu Xu ⋅ Xing Wei
Learning to Grasp Anything By Playing with Random Toys
Dantong Niu ⋅ Yuvan Sharma ⋅ Baifeng Shi ⋅ Rachel Ding ⋅ Matteo Gioia ⋅ Haoru Xue ⋅ Henry Tsai ⋅ Konstantinos Kallidromitis ⋅ Anirudh Pai ⋅ S. Sastry ⋅ trevor darrell ⋅ Jitendra Malik ⋅ Roei Herzig
RFS: Reinforcement learning with Residual flow steering for dexterous manipulation
Entong Su ⋅ Tyler Westenbroek ⋅ Anusha Nagabandi ⋅ Abhishek Gupta
HAMLET: Switch Your Vision-Language-Action Model into a History-Aware Policy
Myungkyu Koo ⋅ Daewon Choi ⋅ Taeyoung Kim ⋅ Kyungmin Lee ⋅ Changyeon Kim ⋅ Younggyo Seo ⋅ Jinwoo Shin
Rodrigues Network for Learning Robot Actions
Jialiang Zhang ⋅ Haoran Geng ⋅ Yang You ⋅ Congyue Deng ⋅ Pieter Abbeel ⋅ Jitendra Malik ⋅ Leonidas Guibas
Compositional Visual Planning via Inference-Time Diffusion Scaling
Yixin Zhang ⋅ Yunhao Luo ⋅ Utkarsh Mishra ⋅ Woo Shin ⋅ Yongxin Chen ⋅ Danfei Xu
VITA: Vision-to-Action Flow Matching Policy
Dechen Gao ⋅ BOQI ZHAO ⋅ Andrew Lee ⋅ Ian Chuang ⋅ Hanchu Zhou ⋅ Hang Wang ⋅ Zhe Zhao ⋅ Junshan Zhang ⋅ Iman Soltani
AutoFly: Vision-Language-Action Model for UAV Autonomous Navigation in the Wild
Xiaolou Sun ⋅ Wufei Si ⋅ Wenhui Ni ⋅ Yuntian Li ⋅ Dongming Wu ⋅ Fei Xie ⋅ Runwei Guan ⋅ He-Yang Xu ⋅ Henghui Ding ⋅ Yuan Wu ⋅ Yutao Yue ⋅ Yongming Huang ⋅ Hui Xiong
PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model
Wenqi Liang ⋅ Gan Sun ⋅ Yao He ⋅ Jiahua Dong ⋅ Suyan Dai ⋅ Ivan Laptev ⋅ Salman Khan ⋅ Yang Cong
Scaling up Memory for Robotic Control via Experience Retrieval
Ajay Sridhar ⋅ Jennifer Pan ⋅ Satvik Sharma ⋅ Chelsea Finn
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
Jinkwan Jang ⋅ Hyungjin Park ⋅ Jinmyeong Choi ⋅ Taesup Kim
PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks
Francesco Spinnato ⋅ Cristiano Landi
Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
Coen Adler ⋅ Yuxin Chang ⋅ Samar Abdi ⋅ Felix Draxler ⋅ Padhraic Smyth
TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models
Tong Guan ⋅ Zijie Meng ⋅ Dianqi Li ⋅ Shiyu Wang ⋅ Chao-Han Huck Yang ⋅ Qingsong Wen ⋅ Zuozhu Liu ⋅ Sabato Siniscalchi ⋅ Ming Jin ⋅ Shirui Pan
FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting
Huiqiang Wang ⋅ Jieming Shi ⋅ Qing Li
Perturbed Dynamic Time Warping: A Probabilistic Framework and Generalized Variants
Xiangqian Sun ⋅ Chaoqun Wang ⋅ Wei Zhang
SmellNet: A Dataset for Sensor-Based Smell Recognition and Mixture Prediction
Dewei Feng ⋅ Wei Dai ⋅ Carol Li ⋅ Alistair Pernigo ⋅ Paul Liang
MambaSL: Exploring Single-Layer Mamba for Time Series Classification
Yoo-Min Jung ⋅ Leekyung Kim
EVEREST: A Transformer for Probabilistic Rare-Event Anomaly Detection with Evidential and Tail-Aware Uncertainty
Antanas Žilinskas ⋅ Robert Shorten ⋅ Jakub Marecek
Reasoning on Time-Series for Financial Technical Analysis
Kelvin Koa ⋅ Jan Chen ⋅ Yunshan Ma ⋅ Zheng Huanhuan ⋅ Tat-Seng Chua
PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting
Yiming Niu ⋅ Jinliang Deng ⋅ Yongxin Tong
Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring.
Natalia Martinez Gil ⋅ Fearghal O'Donncha ⋅ Wesley Gifford ⋅ Nianjun Zhou ⋅ Dhaval Patel ⋅ Roman Vaculin
Point-wise Anomaly Detection via Fold-bifurcation ODE
SheoYon Jhin ⋅ Noseong Park
Dancing in Chains: Strategic Persuasion in Academic Rebuttal via Theory of Mind
Zhitao He ⋅ Zongwei LYU ⋅ Yi R. Fung
How to train data-efficient LLMs
Noveen Sachdeva ⋅ Benjamin Coleman ⋅ Wang-Cheng Kang ⋅ Jianmo Ni ⋅ Lichan Hong ⋅ Ed H. Chi ⋅ James Caverlee ⋅ Julian McAuley ⋅ Derek Cheng
Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
Mohammad Tavakoli ⋅ Alireza Salemi ⋅ Carrie Ye ⋅ Mohamed Abdalla ⋅ Hamed Zamani ⋅ J Mitchell
Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents
Yiming Du ⋅ Baojun Wang ⋅ Yifan Xiang ⋅ Zhaowei Wang ⋅ Wenyu Huang ⋅ Boyang XUE ⋅ Bin Liang ⋅ Xingshan Zeng ⋅ Fei Mi ⋅ Haoli Bai ⋅ Lifeng Shang ⋅ J Pan ⋅ Yuxin Jiang ⋅ Kam-Fai Wong
Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents
Yueqi Song ⋅ Ketan Ramaneti ⋅ Zaid Sheikh ⋅ Ziru Chen ⋅ Boyu Gou ⋅ Tianbao Xie ⋅ Yiheng Xu ⋅ Danyang Zhang ⋅ Apurva Gandhi ⋅ Fan Yang ⋅ Joseph Liu ⋅ Tianyue Ou ⋅ Zhihao Yuan ⋅ Frank F Xu ⋅ Shuyan Zhou ⋅ Xingyao Wang ⋅ Xiang Yue ⋅ Tao Yu ⋅ Huan Sun ⋅ Yu Su ⋅ Graham Neubig
Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
Xu Wang ⋅ Chenkai Xu ⋅ Yijie Jin ⋅ Jiachun Jin ⋅ Hao Zhang ⋅ Kai Yu ⋅ Zhijie Deng
Measuring Audio's Impact on Correctness: Audio-Contribution-Aware Post-Training of Large Audio Language Models
Haolin He ⋅ Xingjian Du ⋅ Renhe Sun ⋅ Zheqi Dai ⋅ Yujia Xiao ⋅ Mingru Yang ⋅ Jiayi Zhou ⋅ Xiquan Li ⋅ Zhengxi Liu ⋅ Zining Liang ⋅ Chunyat Wu ⋅ Qianhua He ⋅ Tan Lee ⋅ Xie Chen ⋅ Wei-Long Zheng ⋅ Weiqiang Wang ⋅ Mark D. Plumbley ⋅ Jian Liu ⋅ Qiuqiang Kong
Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents
Heyang Gao ⋅ Zexu Sun ⋅ Erxue Min ⋅ Hengyi Cai ⋅ Shuaiqiang Wang ⋅ Dawei Yin ⋅ Xu Chen
ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists
Jie Ruan ⋅ Inderjeet Nair ⋅ Shuyang Cao ⋅ Amy Liu ⋅ Sheza Munir ⋅ Micah Pollens-Dempsey ⋅ Yune-Ting Chiang ⋅ Lucy Kates ⋅ Nicholas David ⋅ Sihan Chen ⋅ Ruxin Yang ⋅ Yuqian Yang ⋅ Jihyun Gump ⋅ Tessa Bialek ⋅ Vivek Sankaran ⋅ Margo Schlanger ⋅ Lu Wang
BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation via Lens of Dynamic Interactions
Nan Huo ⋅ Xiaohan Xu ⋅ Jinyang Li ⋅ Per Jacobsson ⋅ Shipei Lin ⋅ Bowen Qin ⋅ Binyuan Hui ⋅ Xiaolong Li ⋅ Ge Qu ⋅ Shuzheng Si ⋅ Linheng Han ⋅ Edward Alexander ⋅ Xintong Zhu ⋅ Rui Qin ⋅ Ruihan Yu ⋅ Yiyao Jin ⋅ Feige Zhou ⋅ Weihao Zhong ⋅ Yun Chen ⋅ Hongyu Liu ⋅ Chenhao Ma ⋅ Fatma Ozcan ⋅ Yannis Papakonstantinou ⋅ Reynold Cheng
Learning Facts at Scale with Active Reading
Jessy Lin ⋅ Vincent-Pierre Berges ⋅ Xilun Chen ⋅ Scott Yih ⋅ Gargi Ghosh ⋅ Barlas Oguz
ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planning
Jihye Choi ⋅ Jinsung Yoon ⋅ Jiefeng Chen ⋅ Somesh Jha ⋅ Tomas Pfister
EchoMind: An Interrelated Multi-level Benchmark for Evaluating Empathetic Speech Language Models
Li Zhou ⋅ Lutong Yu ⋅ You Lyu ⋅ Yihang Lin ⋅ Zefeng Zhao ⋅ Junyi Ao ⋅ Yuhao Zhang ⋅ Wang Benyou ⋅ Haizhou Li
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
Zhiwei He ⋅ Tian Liang ⋅ Jiahao Xu ⋅ Qiuzhi Liu ⋅ Xingyu Chen ⋅ Yue Wang ⋅ Linfeng Song ⋅ Dian Yu ⋅ Zhenwen Liang ⋅ Wenxuan Wang ⋅ Zhuosheng Zhang ⋅ Rui Wang ⋅ Zhaopeng Tu ⋅ Haitao Mi ⋅ Dong Yu
CaTS: Calibrated Test-Time Scaling for Efficient LLM Reasoning
Chengsong Huang ⋅ Langlin Huang ⋅ Jixuan Leng ⋅ Jiacheng Liu ⋅ Jiaxin Huang
Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search
Ekaterina Fadeeva ⋅ Maiya Goloburda ⋅ Aleksandr Rubashevskii ⋅ Roman Vashurin ⋅ Artem Shelmanov ⋅ Preslav Nakov ⋅ Mrinmaya Sachan ⋅ Maxim Panov
OSCAR: Online Soft Compression for RAG
Maxime Louis ⋅ Thibault Formal ⋅ Hervé Déjean ⋅ Stéphane Clinchant
SpotIt: Evaluating Text-to-SQL Evaluation with Formal Verification
Rocky Klopfenstein ⋅ Yang He ⋅ Andrew Tremante ⋅ Yuepeng Wang ⋅ Nina Narodytska ⋅ Haoze Wu
The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
Zhouqi Hua ⋅ Wenwei Zhang ⋅ Chengqi Lyu ⋅ Yuzhe Gu ⋅ Songyang Gao ⋅ Kuikun Liu ⋅ Dahua Lin ⋅ Kai Chen
Are LLMs Really Not Knowledgeable? Mining the Submerged Knowledge in LLMs' Memory
Xingjian Tao ⋅ Yiwei Wang ⋅ Yujun Cai ⋅ Zhicheng YANG ⋅ Jing Tang
Measuring and Mitigating Rapport Bias of Large Language Models under Multi-Agent Social Interactions
Maojia Song ⋅ Tej Deep Pala ⋅ Ruiwen Zhou ⋅ Weisheng Jin ⋅ Amir Zadeh ⋅ Chuan Li ⋅ Dorien Herremans ⋅ Soujanya Poria
P$^2$-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization
RuiPeng Zhang ⋅ Zhihao Li ⋅ Haozhang Yuan ⋅ C.L.Philip Chen ⋅ Tong Zhang
TIPS: Turn-level Information-Potential Reward Shaping for Search-Augmented LLMs
Yutao Xie ⋅ Nathaniel Thomas ⋅ Nick Hansen ⋅ Yang Fu ⋅ Li Li ⋅ Xiaolong Wang
From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training
Tianqiao Liu ⋅ Xueyi Li ⋅ Hao Wang ⋅ Haoxuan Li ⋅ Zhichao Chen ⋅ Weiqi Luo ⋅ Zitao Liu
Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models
Junhong Lin ⋅ Xinyue Zeng ⋅ Jie Zhu ⋅ Song Wang ⋅ Julian Shun ⋅ Jun Wu ⋅ Dawei Zhou
Efficient Reasoning with Balanced Thinking
Yulin Li ⋅ Tengyao Tu ⋅ Li Ding ⋅ Junjie Wang ⋅ Huiling Zhen ⋅ Yixin Chen ⋅ Yong Li ⋅ Zhuotao Tian
Physics-Informed Audio-Geometry-Grid Representation Learning for Universal Sound Source Localization
Min-Sang Baek ⋅ Gyeong-Su Kim ⋅ Donghyun Kim ⋅ Joon-Hyuk Chang
Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs
Zishang Jiang ⋅ Jinyi Han ⋅ tingyun li ⋅ Xinyi Wang ⋅ Sihang Jiang ⋅ Zhaoqian Dai ⋅ Ma Shuguang ⋅ Fei Yu ⋅ Jiaqing Liang ⋅ Yanghua Xiao
Omni-Captioner: Data Pipeline, Models, and Benchmark for Omni Detailed Perception
Ziyang Ma ⋅ Ruiyang Xu ⋅ Zhenghao Xing ⋅ Yunfei Chu ⋅ Yuxuan Wang ⋅ Jinzheng He ⋅ Jin Xu ⋅ Pheng-Ann Heng ⋅ Kai Yu ⋅ Junyang Lin ⋅ Ensiong Chng ⋅ Xie Chen
Prompt and Parameter Co-Optimization for Large Language Models
Xiaohe Bo ⋅ Rui Li ⋅ Zexu Sun ⋅ Quanyu Dai ⋅ Zeyu Zhang ⋅ Zihang Tian ⋅ Xu Chen ⋅ Zhenhua Dong
SPELL: Self-Play Reinforcement Learning for Evolving Long-Context Language Models
Ziyi Yang ⋅ Weizhou Shen ⋅ Chenliang Li ⋅ Ruijun Chen ⋅ Fanqi Wan ⋅ Ming Yan ⋅ Xiaojun Quan ⋅ Fei Huang
Learning to Summarize by Learning to Quiz: Adversarial Agentic Collaboration for Long Document Summarization
Weixuan Wang ⋅ Minghao Wu ⋅ Barry Haddow ⋅ Alexandra Birch
Scaling Knowledge Graph Construction through Synthetic Data Generation and Distillation
Prafulla Kumar Choubey ⋅ Xin Su ⋅ Man Luo ⋅ XIANGYU PENG ⋅ Caiming Xiong ⋅ Tiep Le ⋅ Shachar Rosenman ⋅ Vasudev Lal ⋅ Phil Mui ⋅ Ricky Ho ⋅ Phillip Howard ⋅ Chien-Sheng Wu
On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation
Wenbo Shang ⋅ Yuxi Sun ⋅ Jing Ma ⋅ Xin Huang
EntropyLong: Effective Long-Context Training via Predictive Uncertainty
jia junlong ⋅ Ziyang Chen ⋅ Xing W ⋅ Chaochen Gao ⋅ Zijia Lin ⋅ Songlin Hu ⋅ Binghui Guo
Knowing When to Quit: Probabilistic Early Exits for Speech Separation Networks
Kenny Olsen ⋅ Mads Østergaard ⋅ Karl Ulbæk ⋅ Søren Føns Nielsen ⋅ Rasmus Malik Høegh Lindrup ⋅ Bjørn Jensen ⋅ Morten Mørup
Human or Machine? A Preliminary Turing Test for Speech-to-Speech Interaction
Xiang Li ⋅ Jiabao Gao ⋅ Sipei Lin ⋅ Xuan Zhou ⋅ Chi Zhang ⋅ Bo Cheng ⋅ Jiale Han ⋅ Wang Benyou
Influence-Preserving Proxies for Gradient-Based Data Selection in LLM FineTuning
Sirui Chen ⋅ Yunzhe Qi ⋅ Mengting Ai ⋅ Yifan Sun ⋅ Ruizhong Qiu ⋅ Jiaru Zou ⋅ Jingrui He
Incentive-Aligned Multi-Source LLM Summaries
Yanchen Jiang ⋅ Zhe Feng ⋅ Aranyak Mehta
Dynamic Early Exit in Reasoning Models
Chenxu Yang ⋅ Qingyi Si ⋅ Yongjie Duan ⋅ Zheliang Zhu ⋅ Chenyu Zhu ⋅ Qiaowei Li ⋅ Minghui Chen ⋅ Zheng Lin ⋅ Weipinng Wang
GUI-Shift: Enhancing VLM-Based GUI Agents through Self-supervised Reinforcement Learning
Longxi Gao ⋅ Li Zhang ⋅ Pengzhi Gao ⋅ WEI LIU ⋅ Jian Luan ⋅ Mengwei Xu
Search Arena: Analyzing Search-Augmented LLMs
Mihran Miroyan ⋅ Tsung-Han Wu ⋅ Logan King ⋅ Tianle Li ⋅ Jiayi Pan ⋅ Xinyan Hu ⋅ Wei-Lin Chiang ⋅ Anastasios Angelopoulos ⋅ trevor darrell ⋅ Narges Norouzi ⋅ Joseph E Gonzalez
Continuous Audio Language Models
Simon Rouard ⋅ Manu Orsini ⋅ Axel Roebel ⋅ Neil Zeghidour ⋅ Alexandre Défossez
SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents
Gyuhyeon Seo ⋅ Jungwoo Yang ⋅ Junseong Pyo ⋅ Nalim Kim ⋅ Jonggeun Lee ⋅ Yohan Jo
DRBench: A Realistic Benchmark for Enterprise Deep Research
Amirhossein Abaskohi ⋅ Tianyi Chen ⋅ Miguel Muñoz-Mármol ⋅ Curtis Fox ⋅ Amrutha Varshini Ramesh ⋅ Étienne Marcotte ⋅ Xing Han Lu ⋅ Nicolas Chapados ⋅ Spandana Gella ⋅ Christopher Pal ⋅ Alexandre Drouin ⋅ Issam Laradji
EditBench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits
Wayne Chi ⋅ Valerie Chen ⋅ Ryan Shar ⋅ Aditya Mittal ⋅ Jenny Liang ⋅ Wei-Lin Chiang ⋅ Anastasios Angelopoulos ⋅ Ion Stoica ⋅ Graham Neubig ⋅ Ameet Talwalkar ⋅ Chris Donahue
Segment-Level Attribution for Selective Learning of Long Reasoning Traces
Siyuan Wang ⋅ Yanchen Liu ⋅ Xiang Ren
Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
Tiannuo Yang ⋅ Zebin Yao ⋅ Bowen Jin ⋅ Lixiao Cui ⋅ Yusen Li ⋅ Gang Wang ⋅ Xiaoguang Liu ⋅ Willie Neiswanger
LLMs are Single-threaded Reasoners: Demystifying the Working Mechanism of Soft Thinking
Junhong Wu ⋅ Jinliang Lu ⋅ Zixuan Ren ⋅ Gangqiang Hu ⋅ Zhi Wu ⋅ Dai Dai ⋅ hua wu
Diversity-Incentivized Exploration for Versatile Reasoning
Zican Hu ⋅ Shilin Zhang ⋅ Yafu Li ⋅ Jianhao (Elliott) Yan ⋅ Xuyang Hu ⋅ Leyang Cui ⋅ Xiaoye Qu ⋅ Chunlin Chen ⋅ Yu Cheng ⋅ Zhi Wang
SciNav: A General Agent Framework for Scientific Coding Tasks
Tianshu Zhang ⋅ Huan Sun
HardcoreLogic: Challenging Large Reasoning Models with Long-tail Logic Puzzle Games
Jingcong Liang ⋅ Shijun Wan ⋅ Xuehai Wu ⋅ Yitong Li ⋅ Qianglong Chen ⋅ Duyu Tang ⋅ Siyuan Wang ⋅ zhongyu wei
RESTRAIN: From Spurious Votes to Signals — Self-Training RL with Self-Penalization
Zhaoning Yu ⋅ Zhaolun Su ⋅ Leitian Tao ⋅ Haozhu Wang ⋅ Aashu Singh ⋅ Hanchao Yu ⋅ Jianyu Wang ⋅ Hongyang Gao ⋅ Weizhe Yuan ⋅ Jason E Weston ⋅ Ping Yu ⋅ Jing Xu
UniSS: Unified Expressive Speech-to-Speech Translation with Your Voice
Sitong Cheng ⋅ Bianweizhen ⋅ Xinsheng Wang ⋅ Ruibin Yuan ⋅ Jianyi Chen ⋅ Shunshun Yin ⋅ Yike Guo ⋅ Wei Xue
Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns
Xuemiao Zhang ⋅ Can Ren ⋅ Chengying Tu ⋅ Rongxiang Weng ⋅ Shuo Wang ⋅ Hongfei Yan ⋅ Jingang Wang ⋅ Xunliang Cai
Learning from Synthetic Data Improves Multi-hop Reasoning
Anmol Kabra ⋅ Yilun Yin ⋅ Albert Gong ⋅ Kamilė Stankevičiūtė ⋅ Dongyoung Go ⋅ Johann Lee ⋅ Katie Luo ⋅ Carla Gomes ⋅ Kilian Weinberger
Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training
Pierre-Carl Langlais ⋅ Pavel Chizhov ⋅ Catherine Arnett ⋅ Carlos Hinostroza ⋅ Mattia Nee ⋅ Eliot Jones ⋅ Irène Girard ⋅ David Mach ⋅ Anastasia Stasenko ⋅ Ivan Yamshchikov
Content Promotion as a Strategic Game: How to Design Agentic Publishers for the Evolving Search Ecosystem in the GenAI Era?
Tommy Mordo ⋅ Sagie Dekel ⋅ Tomer Kordonsky ⋅ Omer Madmon ⋅ Moshe Tennenholtz ⋅ Oren Kurland
Building spatial world models from sparse transitional episodic memories
Zizhan He ⋅ Maxime Daigle ⋅ Pouya Bashivan
Readout Representation: Redefining Neural Codes by Input Recovery
Shunsuke Onoo ⋅ Yoshihiro Nagano ⋅ Yukiyasu Kamitani
Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization
Badr AlKhamissi ⋅ C. De Sabbata ⋅ Greta Tuckute ⋅ Zeming Chen ⋅ Martin Schrimpf ⋅ Antoine Bosselut
Difference Predictive Coding for Training Spiking Neural Networks
Ville Karlsson ⋅ Nicklas Fianda ⋅ Joni-Kristian Kamarainen
Discovering heterogeneous synaptic plasticity rules via large-scale neural evolution
Ziyuan Ye ⋅ Beichen Huang ⋅ Yujie Wu ⋅ Guozhang Chen ⋅ Jibin Wu
Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models
Larissa Höfling ⋅ Matthias Tangemann ⋅ Lotta Piefke ⋅ Susanne Keller ⋅ Matthias Bethge ⋅ Katrin Franke
Low-Pass Filtering Improves Behavioral Alignment of Vision Models
Max Wolff ⋅ Thomas Klein ⋅ Evgenia Rusak ⋅ Felix Wichmann ⋅ Wieland Brendel
Bayesian Test-Time Adaptation via Dirichlet feature projection and GMM-Driven Inference for Motor Imagery EEG Decoding
Huan LUO ⋅ Na Lu ⋅ Xiaopeng Wang ⋅ Xu Niu
Characterizing Human Semantic Navigation in Concept Production as Trajectories in Embedding Space
Felipe Toro-Hernández ⋅ Jesuino Vieira Filho ⋅ Rodrigo Cabral-Carvalho
Biologically Plausible Learning via Bidirectional Spike-Based Distillation
Yifei Wang ⋅ Zhangyanxun ⋅ Changze Lv ⋅ Yiyang Lu ⋅ Jingwen Xu ⋅ Xiaohua Wang ⋅ Di Yu ⋅ Xin Du ⋅ Xuanjing Huang ⋅ Xiaoqing Zheng
Spike-based Digital Brain: a novel fundamental model for brain activity analysis
Shaolong Wei ⋅ Qiyu Sun ⋅ Mingliang Wang ⋅ Liang Sun ⋅ Weiping Ding ⋅ Jiashuang Huang
A cross-species neural foundation model for end-to-end speech decoding
Yizi Zhang ⋅ Linyang He ⋅ Chaofei Fan ⋅ Tingkai Liu ⋅ Han Yu ⋅ Trung Le ⋅ Jingyuan Li ⋅ Scott Linderman ⋅ Lea Duncker ⋅ Francis Willett ⋅ Nima Mesgarani ⋅ Liam Paninski
PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks
Yiting Dong ⋅ Jianhao Ding ⋅ Zijie Xu ⋅ Tong Bu ⋅ Zhaofei Yu ⋅ Tiejun Huang
Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification
Hwa Hui Tew ⋅ Junn Yong Loo ⋅ Leong Yu ⋅ Julia Lau ⋅ Ding Fan ⋅ Hernando Ombao ⋅ Raphaël Phan ⋅ Chee Tan ⋅ Chee-Ming Ting
EgoBrain: Synergizing Minds and Eyes For Human Action Understanding
Nie Lin ⋅ Yansen Wang ⋅ Dongqi Han ⋅ Wei-Bang Jiang ⋅ Jingyuan Li ⋅ Ryosuke Furuta ⋅ Yoichi Sato ⋅ Dongsheng Li
PSDNorm: Temporal Normalization for Deep Learning in Sleep Staging
Theo Gnassounou ⋅ Antoine Collas ⋅ Rémi Flamary ⋅ Alexandre Gramfort
Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
Xu Zhang ⋅ Ruijie Quan ⋅ Wenguan Wang ⋅ Yi Yang
Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model
Sam Gijsen ⋅ Marc-Andre Schulz ⋅ Kerstin Ritter
Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI
Zheng Huang ⋅ Enpei Zhang ⋅ Weikang Qiu ⋅ Yinghao Cai ⋅ Carl Yang ⋅ Elynn Chen ⋅ Xiang Zhang ⋅ Rex Ying ⋅ Dawei Zhou ⋅ Yujun Yan
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
Mingqing Xiao ⋅ Qingyan Meng ⋅ Zongpeng Zhang ⋅ Di He ⋅ Dongsheng Li ⋅ Zhouchen Lin
Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval
Yulong Hui ⋅ Chao Chen ⋅ Zhihang Fu ⋅ Yihao Liu ⋅ Jieping Ye ⋅ Huanchen Zhang
Web-CogReasoner: Towards Multimodal Knowledge-Induced Cognitive Reasoning for Web Agents
Yuhan Guo ⋅ cong guo ⋅ Aiwen Sun ⋅ Hongliang He ⋅ Xinyu Yang ⋅ Yue Lu ⋅ Yingji Zhang ⋅ Xuntao Guo ⋅ Dong Zhang ⋅ Jianzhuang Liu ⋅ Jiang Duan ⋅ Yijia Xiao ⋅ Liangjian Wen ⋅ Hai-Ming Xu ⋅ Yong Dai
NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation
Penghai Zhao ⋅ Jinyu Tian ⋅ Qinghua Xing ⋅ Xin Zhang ⋅ Zheng Li ⋅ Jianjun Qian ⋅ Ming-Ming Cheng ⋅ Xiang Li
HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
Zhaolu Kang ⋅ Junhao Gong ⋅ Jiaxu Yan ⋅ Wanke Xia ⋅ Yian Wang ⋅ Zhuo Cheng ⋅ Wenhao Cao ⋅ Ziwen Wang ⋅ ZhiYuan Feng ⋅ Huaxuan Ding ⋅ Siqi He ⋅ Shannan Yan ⋅ Xiaomin He ⋅ Junzhe Chen ⋅ Chaoya Jiang ⋅ Wei Ye ⋅ Kaidong Yu ⋅ Xuelong Li
ProofOptimizer: Training Language Models to Simplify Proofs without Human Demonstrations
Alex Gu ⋅ Bartosz Piotrowski ⋅ Fabian Gloeckle ⋅ Kaiyu Yang ⋅ Aram Markosyan
BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
Shu Liu ⋅ Wenlin Chen ⋅ Weihao Li ⋅ Zheng Wang ⋅ Lijin Yang ⋅ Jianing Huang ⋅ YipinZhang ⋅ Zhongzhan Huang ⋅ Ze Cheng ⋅ Hao Yang
Dual-Scale World Memory for LLM Agents towards Hard-Exploration Problems
Minsoo Kim ⋅ seung-won hwang
When MLLMs Meet Compression Distortion: A Coding Paradigm Tailored to MLLMs
Jinming Liu ⋅ Zhaoyang Jia ⋅ Jiahao Li ⋅ Bin Li ⋅ Xin Jin ⋅ Wenjun Zeng ⋅ Yan Lu
More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User Preferences
Chung Park ⋅ Hyeongjun Yun ⋅ Taesan Kim ⋅ Junui Hong ⋅ Dongjoon Hong ⋅ Mira Myong ⋅ Jihoon Oh ⋅ MinCheol Cho ⋅ Kijung Park ⋅ Min Choi ⋅ Jihwan Seok ⋅ Jaegul Choo
Evaluating Text Creativity across Diverse Domains: a Dataset and Large Language Model Evaluator
Qian Cao ⋅ Xiting Wang ⋅ Yuzhuo Yuan ⋅ Yahui Liu ⋅ Fang Luo ⋅ Ruihua Song
Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing
Justin Lin ⋅ Eliot Jones ⋅ Donovan Jasper ⋅ Ethan Ho ⋅ Anna Wu ⋅ Arnold Yang ⋅ Neil Perry ⋅ Andy Zou ⋅ Matt Fredrikson ⋅ Zico Kolter ⋅ Percy Liang ⋅ Dan Boneh ⋅ Daniel Ho
Sci2Pol: Evaluating and Fine-tuning LLMs on Scientific-to-Policy Brief Generation
Weimin Wu ⋅ Alexander Furnas ⋅ Eddie Yang ⋅ Gefei Liu ⋅ Akhil Pandey Akella ⋅ Xuefeng Song ⋅ Dashun Wang ⋅ Han Liu
Music Flamingo: Scaling Music Understanding in Audio Language Models
Sreyan Ghosh ⋅ Arushi Goel ⋅ Lasha Koroshinadze ⋅ Sang-gil Lee ⋅ Zhifeng Kong ⋅ Joao Santos ⋅ Ramani Duraiswami ⋅ Dinesh Manocha ⋅ Wei Ping ⋅ Mohammad Shoeybi ⋅ Bryan Catanzaro
Divide and Abstract: Autoformalization via Decomposition and Abstraction Learning
Marcus Min ⋅ Yeqi Gao ⋅ Wilson Sy ⋅ Zhaoyu Li ⋅ Xujie Si ⋅ Osbert Bastani
SyncTrack: Rhythmic Stability and Synchronization in Multi-Track Music Generation
Hongrui Wang ⋅ Fan Zhang ⋅ Zhiyuan Yu ⋅ Ziya Zhou ⋅ Xi Chen ⋅ Can Yang ⋅ Yang Wang
HEAPr: Hessian-based Efficient Atomic Expert Pruning in Output Space
Ke Li ⋅ Zheng Yang ⋅ Zhongbin Zhou ⋅ Xuefeng ⋅ Zhonglin Jiang ⋅ Wenxiao Wang
Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction
Yusong Wu ⋅ Stephen Brade ⋅ Teng Ma ⋅ Tia-Jane Fowler ⋅ Enning Yang ⋅ Berker Banar ⋅ Aaron Courville ⋅ Natasha Jaques ⋅ Anna Huang
USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning Capabilities of LLMs as Urban Agents
Siqi Lai ⋅ Yansong Ning ⋅ Zirui Yuan ⋅ Zhixi Chen ⋅ Hao Liu
Aria: an Agent for Retrieval and Iterative Auto-Formalization via Dependency Graph
Wang Hanyu ⋅ Ruohan Xie ⋅ Wang Yutong ⋅ Guoxiong Gao ⋅ XintaoYu ⋅ Bin Dong
Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning
Xingrui Zhuo ⋅ Jiapu Wang ⋅ Gongqing Wu ⋅ Zhongyuan Wang ⋅ Jichen Zhang ⋅ Shirui Pan ⋅ Xindong Wu
LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
Md Ahsanul Haque ⋅ Ismail Hossain ⋅ Mahmuduzzaman Kamol ⋅ Jahangir Alam ⋅ Suresh Kumar Amalapuram ⋅ Sajedul Talukder ⋅ Mohammad Saidur Rahman
floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL
Bhavya Agrawalla ⋅ Michal Nauman ⋅ Khush Agrawal ⋅ Aviral Kumar
Adaptive Test-Time Training for Predicting Need for Invasive Mechanical Ventilation in Multi-Center Cohorts
Xiaolei Lu ⋅ Shamim Nemati
AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?
Guibin Zhang ⋅ Junhao Wang ⋅ Junjie Chen ⋅ Wangchunshu Zhou ⋅ Kun Wang ⋅ Shuicheng YAN
From Language to Locomotion: Retargeting-free Humanoid Control via Motion Latent Guidance
Zhe Li ⋅ Yangyang Wei ⋅ Boan Zhu ⋅ Yibo Peng ⋅ Tao Huang ⋅ Pengwei Wang ⋅ Zhongyuan Wang ⋅ Cheng Chi ⋅ Chang Xu ⋅ Shanghang Zhang
An Ensemble Framework for Unbiased Language Model Watermarking
Yihan Wu ⋅ Ruibo Chen ⋅ Georgios Milis ⋅ Heng Huang
Pushing Test-Time Scaling Limits of Deep Search with Asymmetric Verification
Weihao Zeng ⋅ Keqing He ⋅ Chuqiao Kuang ⋅ Xiaoguang Li ⋅ Junxian He
YuE: Scaling Open Foundation Models for Long-Form Music Generation
Ruibin Yuan ⋅ Hanfeng Lin ⋅ Shuyue Guo ⋅ Ge Zhang ⋅ Jiahao Pan ⋅ Yongyi Zang ⋅ Haohe Liu ⋅ Yiming Liang ⋅ Wenye Ma ⋅ Xingjian Du ⋅ Xeron Du ⋅ Zhen Ye ⋅ Tianyu Zheng ⋅ Zhengxuan Jiang ⋅ Yinghao MA ⋅ Minghao Liu ⋅ Zeyue Tian ⋅ Ziya Zhou ⋅ Liumeng Xue ⋅ Xingwei Qu ⋅ Yizhi Li ⋅ Shangda Wu ⋅ Tianhao Shen ⋅ Ziyang Ma ⋅ Jun Zhan ⋅ Chunhui Wang ⋅ Yatian Wang ⋅ Xiaowei Chi ⋅ Xinyue Zhang ⋅ Zhenzhu Yang ⋅ XiangzhouWang ⋅ Shansong Liu ⋅ Lingrui Mei ⋅ Peng Li ⋅ JUNJIE WANG ⋅ Jianwei Yu ⋅ Guojian Pang ⋅ Xu Li ⋅ Zihao Wang ⋅ Xiaohuan Zhou ⋅ Lijun Yu ⋅ Emmanouil Benetos ⋅ Yong Chen ⋅ Chenghua Lin ⋅ Xie Chen ⋅ Gus Xia ⋅ Zhaoxiang Zhang ⋅ Chao Zhang ⋅ Wenhu Chen ⋅ Xinyu Zhou ⋅ Xipeng Qiu ⋅ Roger Dannenberg ⋅ JIAHENG LIU ⋅ Jian Yang ⋅ Wenhao Huang ⋅ Wei Xue ⋅ Xu Tan ⋅ Yike Guo
GT-Space: Enhancing Heterogeneous Collaborative Perception with Ground Truth Feature Space
Wentao Wang ⋅ Haoran Xu ⋅ Guang Tan
Variational Reasoning for Language Models
Xiangxin Zhou ⋅ Zichen Liu ⋅ Haonan Wang ⋅ Chao Du ⋅ Min Lin ⋅ Chongxuan Li ⋅ Liang Wang ⋅ Tianyu Pang
Astraea: A Token-wise Acceleration Framework for Video Diffusion Transformers
Haosong Liu ⋅ Yuge Cheng ⋅ Wenxuan Miao ⋅ Zihan Liu ⋅ Aiyue Chen ⋅ Jing Lin ⋅ Yiwu Yao ⋅ Chen Chen ⋅ Jingwen Leng ⋅ Minyi Guo ⋅ Yu Feng
Globally aware optimization with resurgence
Wei Bu
Product of Experts for Visual Generation
Yunzhi Zhang ⋅ Carson Murtuza-Lanier ⋅ Zizhang Li ⋅ Yilun Du ⋅ Jiajun Wu
Gauge-invariant representation holonomy
Vasileios Sevetlidis ⋅ George Pavlidis
Zebra-CoT: A Dataset for Interleaved Vision-Language Reasoning
Ang Li ⋅ Charles L. Wang ⋅ Deqing Fu ⋅ Kaiyu Yue ⋅ Zikui Cai ⋅ Wang Zhu ⋅ Ollie Liu ⋅ Peng Guo ⋅ Willie Neiswanger ⋅ Furong Huang ⋅ Tom Goldstein ⋅ Micah Goldblum
Distillation of Large Language Models via Concrete Score Matching
Yeongmin Kim ⋅ Donghyeok Shin ⋅ Mina Kang ⋅ Byeonghu Na ⋅ Il-chul Moon
PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
Mingue Park ⋅ Jisung Hwang ⋅ Seungwoo Yoo ⋅ Kyeongmin Yeo ⋅ Minhyuk Sung
Speculative Speculative Decoding
Tanishq Kumar ⋅ Tri Dao ⋅ Avner May
OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning
Mingxin Huang ⋅ Yongxin Shi ⋅ Dezhi Peng ⋅ Songxuan Lai ⋅ Zecheng Xie ⋅ Lianwen Jin
GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs
Tao Feng ⋅ Haozhen Zhang ⋅ Zijie Lei ⋅ Peixuan Han ⋅ Jiaxuan You
Instance-wise Adaptive Scheduling via Derivative-Free Meta-Learning
Hefang Qing ⋅ Miao Zhang ⋅ Yaoxin Wu ⋅ Weinan Huang ⋅ Jianhao Yang ⋅ Wen Song ⋅ Gang Wang
Sharp asymptotic theory for Q-learning with \texttt{LD2Z} learning rate and its generalization
Soham Bonnerjee ⋅ Zhipeng Lou ⋅ Wei Biao Wu
PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs
Tengxuan Liu ⋅ Shiyao Li ⋅ Jiayi Yang ⋅ Tianchen Zhao ⋅ Feng Zhou ⋅ Xiaohui Song ⋅ Guohao Dai ⋅ Shengen Yan ⋅ Huazhong Yang ⋅ Yu Wang
Trion: FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of LLMs
Ionut-Vlad Modoranu ⋅ Mher Safaryan ⋅ Erik Schultheis ⋅ Max Ryabinin ⋅ Artem Chumachenko ⋅ Dan Alistarh
Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Reasoning Large Language Models
Shuliang Liu ⋅ Xingyu Li ⋅ Hongyi Liu ⋅ Dong Fang ⋅ Bingchen Duan ⋅ Zheng Qi ⋅ Lingfeng Su ⋅ Xuming Hu
Self-Improving Loops for Visual Robotic Planning
Calvin Luo ⋅ Zilai Zeng ⋅ Mingxi Jia ⋅ Yilun Du ⋅ Chen Sun
Positional Encoding Field
Yunpeng Bai ⋅ Haoxiang Li ⋅ Qixing Huang
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
Weiwei Sun ⋅ Keyi Kong ⋅ xinyu ma ⋅ Shuaiqiang Wang ⋅ Dawei Yin ⋅ Maarten de Rijke ⋅ Zhaochun Ren ⋅ Yiming Yang
Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling
Kyungmin Lee ⋅ Sihyun Yu ⋅ Jinwoo Shin
Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering
Yavuz Faruk Bakman ⋅ Sungmin Kang ⋅ Zhiqi Huang ⋅ Duygu Nur Yaldiz ⋅ Catarina Belém ⋅ Chenyang Zhu ⋅ Anoop Kumar ⋅ Alfy Samuel ⋅ Daben Liu ⋅ Salman Avestimehr ⋅ Sai Karimireddy
Enhancing Visual Token Representations for Video Large Language Models via Training-free Spatial-Temporal Pooling and Gridding
Bingjun Luo ⋅ Tony Wang ⋅ Hanqi Chen ⋅ Xinpeng Ding
VaseVQA-3D: Benchmarking 3D VLMs on Ancient Greek Pottery
Nonghai Zhang ⋅ Zeyu Zhang ⋅ Jiazi Wang ⋅ Yang Zhao ⋅ Hao Tang
Reducing Class-Wise Performance Disparity via Margin Regularization
Beier Zhu ⋅ Kesen Zhao ⋅ Jiequan Cui ⋅ Qianru Sun ⋅ Yuan Zhou ⋅ Xun Yang ⋅ Hanwang Zhang
DeepCompress: A Dual Reward Strategy for Dynamically Exploring and Compressing Reasoning Chains
Tian Liang ⋅ Wenxiang Jiao ⋅ Zhiwei He ⋅ Jiahao Xu ⋅ Haitao Mi ⋅ Dong Yu
Language Confusion Gate: Language-Aware Decoding Through Model Self-Distillation
Collin Zhang ⋅ Fei Huang ⋅ Chenhan Yuan ⋅ Junyang Lin
Empowering Multi-Robot Cooperation via Sequential World Models
Zijie Zhao ⋅ Honglei Guo ⋅ Shengqian Chen ⋅ Kaixuan Xu ⋅ Bo Jiang ⋅ Yuanheng Zhu ⋅ Dongbin Zhao
YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting
Botao Ye ⋅ Boqi Chen ⋅ Haofei Xu ⋅ Daniel Barath ⋅ Marc Pollefeys
Distributional Machine Unlearning via Selective Data Removal
Youssef Allouah ⋅ Rachid Guerraoui ⋅ Sanmi Koyejo
Teach2Eval: An Interaction-Driven LLMs Evaluation Method via Teaching Effectiveness
Yuhang Zhou ⋅ Xutian Chen ⋅ Yixin Cao ⋅ Yuchen Ni ⋅ Yu He ⋅ Siyu Tian ⋅ Xiang Liu ⋅ Yunwen Chen ⋅ Guangnan Ye ⋅ Xipeng Qiu ⋅ Hongfeng Chai
PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
Sixiang Chen ⋅ Jianyu Lai ⋅ Jialin Gao ⋅ Tian Ye ⋅ Haoyu Chen ⋅ Hengyu Shi ⋅ Shitong Shao ⋅ Yunlong Lin ⋅ Song Fei ⋅ Zhaohu Xing ⋅ Yeying Jin ⋅ Junfeng Luo ⋅ Xiaoming Wei ⋅ Lei Zhu
Beyond Speedup - Utilizing KV Cache for Sampling and Reasoning
Zeyu XING ⋅ Xing Li ⋅ Huiling Zhen ⋅ Mingxuan Yuan ⋅ Sinno Jialin Pan
Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
Yanfeng Yang ⋅ Siwei Chen ⋅ Pingping Hu ⋅ Zhaotong Shen ⋅ Yingjie Zhang ⋅ Zhuoran Sun ⋅ Shuai Li ⋅ Ziqi Chen ⋅ Kenji Fukumizu
WorldEdit: Towards Open-World Image Editing with a Knowledge-Informed Benchmark
Wang Lin ⋅ Feng Wang ⋅ Majun Zhang ⋅ Wentao Hu ⋅ Tao Jin ⋅ Zhou Zhao ⋅ Fei Wu ⋅ Jingyuan Chen ⋅ Sucheng Ren ⋅ Alan Yuille
Multiple Token Divergence: Measuring and Steering In-Context Computation Density
Vincent Herrmann ⋅ Eric Alcaide ⋅ Michael Wand ⋅ Jürgen Schmidhuber
Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses
Runlin Lei ⋅ Lu Yi ⋅ Mingguo He ⋅ Pengyu Qiu ⋅ Zhewei Wei ⋅ Yongchao Liu ⋅ Chuntao Hong
ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled Illumination
Jan-Niklas Dihlmann ⋅ Mark Boss ⋅ Simon Donné ⋅ Andreas Engelhardt ⋅ Hendrik Lensch ⋅ Varun Jampani
NAB: Neural Adaptive Binning for Sparse-View CT reconstruction
Wangduo Xie ⋅ Matthew Blaschko
GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models
Rosen Yu ⋅ Cyril Picard ⋅ Faez Ahmed
GenSR: Symbolic regression based on equation generative space
Qian Li ⋅ Yuxiao Hu ⋅ Juncheng Liu ⋅ Yuntian Chen
Unleashing Guidance Without Classifiers for Human-Object Interaction Animation
Ziyin Wang ⋅ Sirui Xu ⋅ chuan guo ⋅ Bing Zhou ⋅ Jiangshan Gong ⋅ Jian Wang ⋅ Yu-Xiong Wang ⋅ Liang-Yan Gui
DanceTogether: Generating Interactive Multi-Person Video without Identity Drifting
Junhao Chen ⋅ Mingjin Chen ⋅ Jianjin Xu ⋅ Xiang Li ⋅ Junting Dong ⋅ Mingze Sun ⋅ puhua jiang ⋅ Hongxiang Li ⋅ Yuhang Yang ⋅ Hao Zhao ⋅ Xiao-Xiao Long ⋅ Ruqi Huang
Debiased Front-Door Learners for Heterogeneous Effects
Yonghan Jung
Machine Unlearning under Retain–Forget Entanglement
JINGPU CHENG ⋅ Ping Liu ⋅ Qianxiao Li ⋅ CHI ZHANG
Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation
Zhiwei Zhang ⋅ Xiaomin Li ⋅ Yudi Lin ⋅ Hui Liu ⋅ Ramraj Chandradevan ⋅ Linlin Wu ⋅ Minhua Lin ⋅ Fali Wang ⋅ Xianfeng Tang ⋅ Qi He ⋅ Suhang Wang
Do 3D Large Language Models Really Understand 3D Spatial Relationships?
Xianzheng Ma ⋅ Tao Sun ⋅ Shuai Chen ⋅ Yash Bhalgat ⋅ Jindong Gu ⋅ Angel Chang ⋅ Iro Armeni ⋅ Iro Laina ⋅ Songyou Peng ⋅ Victor Prisacariu
The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
Akshit Sinha ⋅ Arvindh Arun ⋅ Shashwat Goel ⋅ Steffen Staab ⋅ Jonas Geiping
Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration
Sukwon Yun ⋅ Jie Peng ⋅ Pingzhi Li ⋅ Wendong Fan ⋅ Jie Chen ⋅ James Y Zou ⋅ Guohao Li ⋅ Tianlong Chen
LH-DECEPTION: Simulating and Understanding LLM Deceptive Behaviors in Long-Horizon Interactions
Yang Xu ⋅ Xuanming Zhang ⋅ Min-Hsuan Yeh ⋅ Jwala Dhamala ⋅ Ousmane Dia ⋅ Rahul Gupta ⋅ Sharon Li
Multi-agent Coordination via Flow Matching
Dongsu Lee ⋅ Daehee Lee ⋅ Amy Zhang
MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task
Yuchen Yan ⋅ Yongliang Shen ⋅ Yang Liu ⋅ Jin Jiang ⋅ Xin Xu ⋅ Mengdi Zhang ⋅ Jian Shao ⋅ Yueting Zhuang
Benefits and Limitations of Communication in Multi-Agent Reasoning
Michael Rizvi-Martel ⋅ Satwik Bhattamishra ⋅ Neil Rathi ⋅ Guillaume Rabusseau ⋅ Michael Hahn
Hybrid Reinforcement: when reward is sparse, better to be dense
Leitian Tao ⋅ Ilia Kulikov ⋅ Swarnadeep Saha ⋅ Tianlu Wang ⋅ Jing Xu ⋅ Sharon Li ⋅ Jason E Weston ⋅ Ping Yu
AI Fundamentals: Valuing AI Agents & Data Assets
Qingyun Sun ⋅ Zhenheng Tang ⋅ Huacan Wang
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Poster
10:30 AM - 1:00 PM
429 Events in this session
Relational Feature Caching for Accelerating Diffusion Transformers
Byunggwan Son ⋅ Jeimin Jeon ⋅ Jeongwoo Choi ⋅ Bumsub Ham
Durian: Dual Reference Image-Guided Portrait Animation with Attribute Transfer
Hyunsoo Cha ⋅ Byungjun Kim ⋅ Hanbyul Joo
Syncphony: Synchronized Audio-to-Video Generation with Diffusion Transformers
Jibin Song ⋅ Mingi Kwon ⋅ Jaeseok Jeong ⋅ Youngjung Uh
ToProVAR: Efficient Visual Autoregressive Modeling via Tri-Dimensional Entropy-Aware Semantic Analysis and Sparsity Optimization
Jiayu Chen ⋅ Ruoyu Lin ⋅ Zihao Zheng ⋅ Jingxin Li ⋅ Maoliang Li ⋅ Guojie Luo ⋅ Xiang Chen
InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions
Zhenzhi Wang ⋅ Jiaqi Yang ⋅ Jianwen Jiang ⋅ Chao Liang ⋅ Gaojie Lin ⋅ Zerong Zheng ⋅ Ceyuan Yang ⋅ Yuan Zhang ⋅ Mingyuan Gao ⋅ Dahua Lin
NewtonGen: Physics-consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics
Yu Yuan ⋅ Xijun Wang ⋅ Tharindu Wickremasinghe ⋅ Zeeshan Nadir ⋅ Bole Ma ⋅ Stanley Chan
Data Provenance for Image Auto-Regressive Generation
Bihe Zhao ⋅ Louis Kerner ⋅ Michel Meintz ⋅ Tameem Bakr ⋅ Franziska Boenisch ⋅ Adam Dziedzic
VMoBA: Mixture-of-Block Attention for Video Diffusion Models
Jianzong Wu ⋅ Liang Hou ⋅ Haotian Yang ⋅ Ye Tian ⋅ Pengfei Wan ⋅ Di ZHANG ⋅ Yunhai Tong
Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation
Xiaomeng Yang ⋅ Mengping Yang ⋅ GONG JIA ⋅ Luozheng Qin ⋅ Zhiyu Tan ⋅ Hao Li
Latent Diffusion Model without Variational Autoencoder
Minglei Shi ⋅ Haolin Wang ⋅ Wenzhao Zheng ⋅ Ziyang Yuan ⋅ Xiaoshi Wu ⋅ Xintao WANG ⋅ Pengfei Wan ⋅ Jie Zhou ⋅ Jiwen Lu
FACM: Flow-Anchored Consistency Models
Yansong Peng ⋅ Kai Zhu ⋅ Yu Liu ⋅ Pingyu Wu ⋅ Hebei Li ⋅ Xiaoyan Sun ⋅ Feng Wu
TINKER: Diffusion's Gift to 3D--Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimization
Canyu Zhao ⋅ Xiaoman Li ⋅ Tianjian Feng ⋅ Zhiyue Zhao ⋅ Hao Chen ⋅ Chunhua Shen
Towards Better Optimization For Listwise Preference in Diffusion Models
Jiamu Bai ⋅ Xin Yu ⋅ Meilong Xu ⋅ Weitao Lu ⋅ Xin Pan ⋅ Kiwan Maeng ⋅ Daniel Kifer ⋅ Jian Wang ⋅ Yu Wang
Implicit Inversion turns CLIP into a Decoder
Antonio D Orazio ⋅ Maria Rosaria Briglia ⋅ Donato Crisostomi ⋅ Dario Loi ⋅ Emanuele Rodolà ⋅ Iacopo Masi
Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens
Zhiwen Zheng ⋅ Yuheng Qiao ⋅ Xiaoshuai Zhang ⋅ Zhao Huang ⋅ Tao Zhang ⋅ Huiyu Zhou ⋅ Shaowei Jiang ⋅ Jin Liu ⋅ Wenwen Tang ⋅ Xingru Huang
EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer
Yuxiao Yang ⋅ Hualian Sheng ⋅ Sijia Cai ⋅ Jing Lin ⋅ Jiahao Wang ⋅ Bing Deng ⋅ Junzhe Lu ⋅ Haoqian Wang ⋅ Jieping Ye
Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models
Zengbin Wang ⋅ Xuecai Hu ⋅ Yong Wang ⋅ Feng Xiong ⋅ Man Zhang ⋅ Xiangxiang Chu
Learning Patient-Specific Disease Dynamics With Latent Flow Matching For Longitudinal Imaging Generation
Hao Chen ⋅ Rui Yin ⋅ Yifan Chen ⋅ Qi Chen ⋅ Chao Li
EchoGen: Generating Visual Echoes in Any Scene via Feed-Forward Subject-Driven Auto-Regressive Model
Ruixiao Dong ⋅ Zhendong Wang ⋅ Keli Liu ⋅ Li Li ⋅ Ying Chen ⋅ Kai Li ⋅ Daowen Li ⋅ Houqiang Li
Scale-wise Distillation of Diffusion Models
Nikita Starodubcev ⋅ Ilya Drobyshevskiy ⋅ Denis Kuznedelev ⋅ Artem Babenko ⋅ Dmitry Baranchuk
CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design
Hui Zhang ⋅ Dexiang Hong ⋅ Maoke Yang ⋅ Yutao Cheng ⋅ Zhao Zhang ⋅ Weidong Chen ⋅ Jie Shao ⋅ Xinglong Wu ⋅ Zuxuan Wu ⋅ Yu-Gang Jiang
Multilingual Routing in Mixture-of-Experts
Lucas Bandarkar ⋅ Chenyuan Yang ⋅ Mohsen Fayyaz ⋅ Junlin Hu ⋅ Nanyun (Violet) Peng
Light-X: Generative 4D Video Rendering with Camera and Illumination Control
Tianqi Liu ⋅ Zhaoxi Chen ⋅ Zihao Huang ⋅ Shaocong Xu ⋅ Saining Zhang ⋅ Chongjie Ye ⋅ Bohan Li ⋅ Zhiguo Cao ⋅ Wei Li ⋅ Hao Zhao ⋅ Ziwei Liu
FreeViS: Training-free Video Stylization with Inconsistent References
Jiacong Xu ⋅ Yiqun Mei ⋅ Ke Zhang ⋅ Vishal Patel
Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling
Long Peng ⋅ Anran Wu ⋅ Wenbo Li ⋅ PeizheXia ⋅ Xinjie Zhang ⋅ Xueyuan Dai ⋅ Xin Di ⋅ Haoze Sun ⋅ Renjing Pei ⋅ Yang Wang ⋅ Yang Cao ⋅ Zheng-Jun Zha
Purrception: Variational Flow Matching for Vector-Quantized Image Generation
Răzvan-Andrei Matișan ⋅ Tao Hu ⋅ Grigory Bartosh ⋅ Björn Ommer ⋅ Cees G Snoek ⋅ Max Welling ⋅ Jan-Willem van de Meent ⋅ Mohammad Mahdi Derakhshani ⋅ Floor Eijkelboom
ORION: Decoupling and Alignment for Unified Autoregressive Understanding and Generation
taihang Hu ⋅ Mengting Chen ⋅ Jinsong Lan ⋅ Xiaoyong Zhu ⋅ Kaifu Zhang ⋅ Ming-Ming Cheng ⋅ Bo Zheng ⋅ Yaxing Wang
Time-to-Move: Training-Free Motion-Controlled Video Generation via Dual-Clock Denoising
Assaf Singer ⋅ Noam rotstein ⋅ Amir Mann ⋅ Ron Kimmel ⋅ Or Litany
Realtime Video Frame Interpolation using One-Step Diffusion Sampling
Yongrui Ma ⋅ Shijie Zhao ⋅ Mingde Yao ⋅ Junlin Li ⋅ Li zhang ⋅ Xiaohong Liu ⋅ Qi Dou ⋅ Jinwei Gu ⋅ Tianfan Xue
Learning Physics-Grounded 4D Dynamics with Neural Gaussian Force Fields
Shiqian Li ⋅ Ruihong Shen ⋅ Junfeng Ni ⋅ Chang Pan ⋅ Chi Zhang ⋅ Yixin Zhu
Localized Concept Erasure in Text-to-Image Diffusion Models via High-Level Representation Misdirection
Uichan Lee ⋅ Jeonghyeon Kim ⋅ Sangheum Hwang
ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion
Xurui Peng ⋅ Chenqian Yan ⋅ Hong Liu ⋅ Rui Ma ⋅ Fangmin Chen ⋅ XING WANG ⋅ Zhihua Wu ⋅ Songwei Liu ⋅ Mingbao Lin
Beyond Skeletons: Learning Animation Directly from Driving Videos with Same2X Training Strategy
Yuan Zeng ⋅ Yujia Shi ⋅ Yuhao Yang ⋅ Dongxia Liu ⋅ Zongqing Lu ⋅ Wenming Yang ⋅ Qingmin Liao
Generate Any Scene: Scene Graph Driven Data Synthesis for Visual Generation Training
Ziqi Gao ⋅ Weikai Huang ⋅ Jieyu Zhang ⋅ Aniruddha Kembhavi ⋅ Ranjay Krishna
PQGAN: Product-Quantised Image Representation for High-Quality Image Synthesis
Denis Zavadski ⋅ Nikita Tatsch ⋅ Carsten Rother
STORK: Faster Diffusion and Flow Matching Sampling by Resolving both Stiffness and Structure-Dependence
Zheng Tan ⋅ Weizhen Wang ⋅ Andrea Bertozzi ⋅ Ernest Ryu
CineTrans: Learning to Generate Videos with Cinematic Transitions via Masked Diffusion Models
Xiaoxue Wu ⋅ Bingjie Gao ⋅ Yu Qiao ⋅ Yaohui Wang ⋅ Xinyuan Chen
3D Scene Prompting for Scene-Consistent Camera-Controllable Video Generation
JoungBin Lee ⋅ Jaewoo Jung ⋅ Jisang Han ⋅ Takuya Narihira ⋅ Kazumi Fukuda ⋅ Junyoung Seo ⋅ Sunghwan Hong ⋅ Yuki Mitsufuji ⋅ Seungryong Kim
Target-Aware Video Diffusion Models
Taeksoo Kim ⋅ Hanbyul Joo
BAR: Refactor the Basis of Autoregressive Visual Generation
Zhicong Tang ⋅ Dong Chen ⋅ Jianmin Bao ⋅ Baining Guo
Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
Kwanyoung Kim ⋅ Sanghyun Kim
CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splatting
Zhigang Cheng ⋅ Mingchao Sun ⋅ Liu Yu ⋅ zengye ge ⋅ Luyang Tang ⋅ Mu Xu ⋅ Yangyan Li ⋅ Peng Pan
Active Learning of 3D Gaussian Splatting with Consistent Region Partition and Robust Pose Estimation
Ruiqi Li ⋅ Yiu-ming Cheung
Sharp Monocular View Synthesis in Less Than a Second
Lars Mescheder ⋅ Wei Dong ⋅ Shiwei Li ⋅ Xuyang BAI ⋅ Marcel Santos ⋅ Peiyun Hu ⋅ Bruno Lecouat ⋅ Mingmin Zhen ⋅ Amaël Delaunoy ⋅ Tian Fang ⋅ Yanghai Tsin ⋅ Stephan Richter ⋅ Vladlen Koltun
Splat the Net: Radiance Fields with Splattable Neural Primitives
xilong zhou ⋅ Bao-Huy Nguyen ⋅ Loïc Magne ⋅ Vladislav Golyanik ⋅ Thomas Leimkuehler ⋅ Christian Theobalt
DiffPBR: Point-Based Rendering via Spatial-Aware Residual Diffusion
Yiping Xie ⋅ Yuchi Huo ⋅ Yunlong Ran ⋅ Zijian Huang ⋅ Lincheng Li ⋅ Yingfeng Chen ⋅ Jiming Chen ⋅ Qi Ye
A Step to Decouple Optimization in 3DGS
Renjie Ding ⋅ Yaonan Wang ⋅ Min Liu ⋅ Jialin Zhu ⋅ Jiazheng Wang ⋅ Jiahao Zhao ⋅ Wenting Shen ⋅ Feixiang He ⋅ Xiang Chen
WorldTree: Towards 4D Dynamic Worlds from Monocular Video using Tree-Chains
Qisen Wang ⋅ Yifan Zhao ⋅ Jia Li
Uncertainty Matters in Dynamic Gaussian Splatting for Monocular 4D Reconstruction
Fengzhi Guo ⋅ Chih-Chuan Hsu ⋅ Sihao Ding ⋅ Cheng Zhang
CylinderSplat: 3D Gaussian Splatting with Cylindrical Triplanes for Panoramic Novel View Synthesis
Qiwei Wang ⋅ Xianghui Ze ⋅ Jingyi Yu ⋅ Yujiao Shi
SkyEvents: A Large-Scale Event-enhanced UAV Dataset for Robust 3D Scene Reconstruction
Wenzong Ma ⋅ Zhuoxiao Li ⋅ Jinjing Zhu ⋅ Tongyan Hua ⋅ Kanghao Chen ⋅ Zidong Cao ⋅ Da Yang ⋅ Peilun Shi ⋅ Yibo Zhou ⋅ Wufan Zhao ⋅ Hui Xiong
G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior
Junfeng Ni ⋅ Yixin Chen ⋅ Zhifei Yang ⋅ Yu Liu ⋅ Ruijie Lu ⋅ Song-Chun Zhu ⋅ Siyuan Huang
NOVA3R: Non-pixel-aligned Visual Transformer for Amodal 3D Reconstruction
Weirong Chen ⋅ Chuanxia Zheng ⋅ Ganlin Zhang ⋅ Andrea Vedaldi ⋅ Daniel Cremers
Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share?
Karim Kassab ⋅ Antoine Schnepf ⋅ Jean-Yves Franceschi ⋅ Laurent Caraffa ⋅ Flavian Vasile ⋅ Jeremie Mary ⋅ Andrew Comport ⋅ Valerie Gouet-Brunet
LiTo: Surface Light Field Tokenization
Jen-Hao Chang ⋅ Xiaoming Zhao ⋅ Dorian Chan ⋅ Oncel Tuzel
ETGS: Explicit Thermodynamics Gaussian Splatting for Dynamic Thermal Reconstruction
Zhongwen Wang ⋅ Han Ling ⋅ Weihao Zhang ⋅ Yinghui Sun ⋅ Quansen Sun
HDR-NSFF: High Dynamic Range Neural Scene Flow Fields
Shin Dong-Yeon ⋅ Kim Jun-Seong ⋅ Kwon Byung-Ki ⋅ Tae-Hyun Oh
Implicit 4D Gaussian Splatting for Fast Motion with Large Inter-Frame Displacements
Seung-gyeom Kim ⋅ Areum Kim ⋅ Yongjae Yoo ⋅ Sukmin Yun
Condition Matters in Full-head 3D GANs
Heyuan Li ⋅ Huimin Zhang ⋅ Yuda Qiu ⋅ Zhengwentai Sun ⋅ Keru Zheng ⋅ Lingteng Qiu ⋅ Peihao Li ⋅ Qi Zuo ⋅ Ce Chen ⋅ Yujian Zheng ⋅ Yuming Gu ⋅ Zilong Dong ⋅ Xiaoguang Han
All That Glitters Is Not Gold: Key-Secured 3D Secrets within 3D Gaussian Splatting
Yan Ren ⋅ Shilin Lu ⋅ Adams Kong
Splat Feature Solver
Butian Xiong ⋅ Rong Liu ⋅ Kenneth Xu ⋅ Meida Chen ⋅ Andrew Feng
UFO-4D: Unposed Feedforward 4D Reconstruction from Two Images
Junhwa Hur ⋅ Charles Herrmann ⋅ Songyou Peng ⋅ Philipp Henzler ⋅ Zeyu Ma ⋅ Todd Zickler ⋅ Deqing Sun
D$^2$GS: Depth-and-Density Guided Gaussian Splatting for Stable and Accurate Sparse-View Reconstruction
Meixi Song ⋅ Xin Lin ⋅ Dizhe Zhang ⋅ Haodong Li ⋅ Xiangtai Li ⋅ Bo Du ⋅ Lu Qi
Hyden: A Hybrid Dual-Path Encoder for Monocular Geometry of High-resolution Images
Zaiwei Zhang ⋅ Marc Mapeke ⋅ Wei Ye ⋅ Rakesh Ranjan ⋅ JQ Huang
Secondary Motion-Aware 3D Clothed Gaussian Avatars from Monocular Videos
Seungeun Lee ⋅ SeungJun Moon ⋅ Hah Min Lew ⋅ Ji-Su Kang ⋅ Gyeong-Moon Park
Multi-Object System Identification from Videos
Chunjiang Liu ⋅ Xiaoyuan Wang ⋅ Qingran Lin ⋅ Albert Xiao ⋅ Haoyu Chen ⋅ Shizheng Wen ⋅ Hao Zhang ⋅ Lu Qi ⋅ Ming-Hsuan Yang ⋅ Laszlo A. Jeni ⋅ Min Xu ⋅ Yizhou Zhao
SCas4D: Structural Cascaded Optimization for Boosting Persistent 4D Novel View Synthesis
Jipeng Lyu · Jiahua Dong · Yu-Xiong Wang
Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
Shufan Li ⋅ Jiuxiang Gu ⋅ Kangning Liu ⋅ Zhe Lin ⋅ Zijun Wei ⋅ Aditya Grover ⋅ Jason Kuen
Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
Israfel Salazar ⋅ Manuel Fernández Burda ⋅ Shayekh Islam ⋅ Arshia Soltani Moakhar ⋅ Shivalika Singh ⋅ Fabian Farestam ⋅ Angelika Romanou ⋅ Danylo Boiko ⋅ Dipika Khullar ⋅ Mike Zhang ⋅ Dominik Krzemiński ⋅ Jekaterina Novikova ⋅ Luisa Shimabucoro ⋅ Joseph Marvin Imperial ⋅ Rishabh Maheshwary ⋅ Sharad Duwal ⋅ Alfonso Amayuelas ⋅ Swati Rajwal ⋅ Jebish Purbey ⋅ Ahmed Ruby ⋅ Nicholas Popovič ⋅ Marek Suppa ⋅ Azmine Toushik Wasi ⋅ Ram Mohan Rao Kadiyala ⋅ Olga Tsymboi ⋅ Maksim Kostritsya ⋅ Bardia moakhar ⋅ Gabriel da Costa Merlin ⋅ Otávio Coletti ⋅ Maral Jabbarishiviari ⋅ MOHAMMADAMIN FARAHANIFARD ⋅ Silvia Fernandez ⋅ María Grandury ⋅ Dmitry Abulkhanov ⋅ Drishti Sharma ⋅ Andre Guarnier De Mitri ⋅ Leticia Marchezi ⋅ Setayesh Heydari ⋅ Johan S Obando Ceron ⋅ Nazar Kohut ⋅ Beyza Ermis ⋅ Desmond Elliott ⋅ Enzo Ferrante ⋅ Sara Hooker ⋅ Marzieh Fadaee
MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction
Zilin Xiao ⋅ Qi Ma ⋅ Mengting Gu ⋅ Chun-cheng Chen ⋅ Xintao Chen ⋅ Vicente Ordonez ⋅ Vijai Mohan
RIVER: A Real-Time Interaction Benchmark for Video LLMs
Yansong Shi ⋅ Qingsong Zhao ⋅ Tianxiang Jiang ⋅ Xiangyu Zeng ⋅ Yi Wang ⋅ Limin Wang
TripleSumm: Adaptive Triple-Modality Fusion for Video Summarization
Sumin Kim ⋅ Hyemin Jeong ⋅ Mingu Kang ⋅ Yejin Kim ⋅ Yoori Oh ⋅ Joonseok Lee
OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents
Hongrui Jia ⋅ Jitong Liao ⋅ Xi Zhang ⋅ Haiyang Xu ⋅ Tianbao Xie ⋅ Chaoya Jiang ⋅ Ming Yan ⋅ Si Liu ⋅ Wei Ye ⋅ Fei Huang
CoMem: Compositional Concept-Graph Memory for Vision–Language Adaptation
Heng Zhou ⋅ Jing Tang ⋅ Juheng zhang ⋅ Yanshu Li ⋅ Canran Xiao ⋅ Liwei Hou ⋅ Zong Ke ⋅ Jiawei Yao
TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning
Christian Greisinger ⋅ Steffen Eger
Efficient Test-Time Scaling for Small Vision-Language Models
Mehmet Onurcan Kaya ⋅ Desmond Elliott ⋅ Dim Papadopoulos
SURGE: Surprise-Guided Token Reduction for Efficient Video Understanding with VLMs
Chong Tang ⋅ Sannara Ek ⋅ Dirk Koch ⋅ Robert Mullins ⋅ Alex Weddell ⋅ Jagmohan Chauhan
On Discriminative vs. Generative classifiers: Rethinking MLLMs for Action Understanding
Zhanzhong Pang ⋅ Dibyadip Chatterjee ⋅ Fadime Sener ⋅ Angela Yao
Beyond Text-to-Image: Liberating Generation with a Unified Discrete Diffusion Model
Qingyu Shi ⋅ Jinbin Bai ⋅ Zhuoran Zhao ⋅ Wenhao Chai ⋅ Kaidong Yu ⋅ Jianzong Wu ⋅ Shuangyong Song ⋅ Yunhai Tong ⋅ Xiangtai Li ⋅ Xuelong Li ⋅ Shuicheng YAN
Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images
Jiakui Hu ⋅ Shanshan Zhao ⋅ Qing-Guo Chen ⋅ Xuerui Qiu ⋅ Jialun Liu ⋅ Zhao Xu ⋅ Weihua Luo ⋅ Kaifu Zhang ⋅ Yanye Lu
Automatic Image-Level Morphological Trait Annotation for Organismal Images
Vardaan Pahuja ⋅ Samuel Stevens ⋅ Alyson East ⋅ Sydne Record ⋅ Yu Su
CityLens: Evaluating Large Vision-Language Models for Urban Socioeconomic Sensing
Tianhui Liu ⋅ Hetian Pang ⋅ Xin Zhang ⋅ Tianjian Ouyang ⋅ Zhiyuan Zhang ⋅ Jie Feng ⋅ Yong Li ⋅ Pan Hui
Long-tailed Test-Time Adaptation for Vision-Language Models
Xucong Wang ⋅ Zhe Zhao ⋅ Zekun Wang ⋅ Xiaofeng Cao ⋅ Xu Wang ⋅ Di Wu ⋅ Pengkun Wang ⋅ Yang Wang
VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
Kyoungjun Park ⋅ Yifan Yang ⋅ Juheon Yi ⋅ Shicheng Zheng ⋅ Muhammad Muaz ⋅ Yifei Shen ⋅ Dongqi Han ⋅ Caihua Shan ⋅ Lili Qiu
Imitating the Truth: Attention-aware Truth-Guided Enhancement for Hallucination Mitigation in Large Vision-Language Models
Hairui Ren ⋅ Zixuan Wang ⋅ Yibo Yang ⋅ He Zhao ⋅ Fan Tang ⋅ Dandan Guo ⋅ Yi Chang
ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
Liu Yang ⋅ Huiyu Duan ⋅ Ran Tao ⋅ Juntao Cheng ⋅ Sijing Wu ⋅ Yunhao Li ⋅ jing Liu ⋅ Xiongkuo Min ⋅ Guangtao Zhai
EdgeCape: Edge Weight Prediction For Category-Agnostic Pose Estimation
Or Hirschorn ⋅ Shai Avidan
UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction as Reasoning
Liangyu Chen ⋅ Hanzhang Zhou ⋅ chenglin cai ⋅ Jianan Zhang ⋅ Panrong Tong ⋅ Xu Zhang ⋅ Quyu Kong ⋅ Chen Liu ⋅ Yuqi Liu ⋅ Wenxuan Wang ⋅ Yue Wang ⋅ Qin Jin ⋅ Steven HOI
TPRU: Advancing Temporal and Procedural Understanding in Large Multimodal Models
Zhenkun Gao ⋅ Xuhong Wang ⋅ Xin Tan ⋅ Yuan Xie
Boosting Medical Visual Understanding From Multi-Granular Language Learning
Zihan Li ⋅ Yiqing Wang ⋅ Sina Farsiu ⋅ Paul Kinahan
TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation
Muhammad Sohail Danish ⋅ Muhammad Akhtar Munir ⋅ Syed Shah ⋅ Muhammad Haris Khan ⋅ Rao Anwer ⋅ Jorma Laaksonen ⋅ Fahad Khan ⋅ Salman Khan
pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models
Sajjad Ghiasvand ⋅ Mahnoosh Alizadeh ⋅ Ramtin Pedarsani
Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs
Zhiyu Pan ⋅ Yizheng Wu ⋅ Jiashen Hua ⋅ Junyi Feng ⋅ Shaotian Yan ⋅ Bing Deng ⋅ Zhiguo Cao ⋅ Jieping Ye
Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search
Xin Lai ⋅ Junyi Li ⋅ Wei Li ⋅ Tao Liu ⋅ Tianjian Li ⋅ Hengshuang Zhao
Mordal: Automated Pretrained Model Selection for Vision Language Models
Shiqi He ⋅ Insu Jang ⋅ Mosharaf Chowdhury
InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
Haomin Wang ⋅ Jinhui Yin ⋅ Qi Wei ⋅ Wenguang Zeng ⋅ Lixin Gu ⋅ Shenglong Ye ⋅ Zhangwei Gao ⋅ Yaohui Wang ⋅ Yanting Zhang ⋅ Yuanqi Li ⋅ Yanwen Guo ⋅ Wenhai Wang ⋅ Kai Chen ⋅ Yu Qiao ⋅ Hongjie Zhang
Task-Related Token Compression in Multimodal Large Language Models from an Explainability Perspective
Lei Lei ⋅ Jie Gu ⋅ Xiaokang Ma ⋅ Chu Tang ⋅ Jingmin Chen ⋅ Tong Xu
Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
Mitchell Keren Taraday ⋅ Shahaf Wagner ⋅ Chaim Baskin
Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
Wenzhe Yin ⋅ Zehao Xiao ⋅ Pan Zhou ⋅ Shujian Yu ⋅ Jiayi Shen ⋅ Jan-jakob Sonke ⋅ Efstratios Gavves
LLaVA-4D: Embedding SpatioTemporal Prompt into LMMs for 4D Scene Understanding
Hanyu Zhou ⋅ Gim H Lee
LLMs as Rules Oracles: Exploring Real-World Multimodal Reasoning in Tabletop Strategy Game Environments
Joseph Peper ⋅ Sai Krishna Gandra ⋅ Yunxiang Zhang ⋅ Vaibhav Chennareddy ⋅ Shloki Jha ⋅ Ali Payani ⋅ Lu Wang
Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving
Md Hasan Shahriar ⋅ Mohaimin Al Barat ⋅ Harshavardhan Sundar ⋅ Ning Zhang ⋅ Naren Ramakrishnan ⋅ Thomas Hou ⋅ Wenjing Lou
DaVinci: Reinforcing Visual-Structural Syntax in MLLMs for Generalized Scientific Diagram Parsing
Xingchen ZENG ⋅ Zhewei Su ⋅ Hengming Zhang ⋅ Juyong Jiang ⋅ Jiazhi Xia ⋅ Wei Zeng
Plan then Act: Bi-level CAD Command Sequence Generation
Qiangya Guo ⋅ Gang Dai ⋅ Zhuoman Liu ⋅ Shuangping Huang ⋅ Yunqing Hu ⋅ Huiyuan Zhang ⋅ Tianshui Chen
MIMIC-Bench: Exploring the User-Like Thinking and Mimicking Capabilities of Multimodal Large Language Models
Jiajie Teng ⋅ Huiyu Duan ⋅ Sijing Wu ⋅ Jiarui Wang ⋅ Xilei Zhu ⋅ Jianing Jin ⋅ Wei Shen ⋅ Xiongkuo Min ⋅ Guangtao Zhai
Sapiens2
Rawal Khirodkar ⋅ He Wen ⋅ Julieta Martinez ⋅ Yuan Dong ⋅ Zhaoen Su ⋅ Shunsuke Saito
The Unseen Bias: How Norm Discrepancy in Pre-Norm MLLMs Leads to Visual Information Loss
Bozhou Li ⋅ Xinda Xue ⋅ Sihan Yang ⋅ Yang Shi ⋅ Xinlong Chen ⋅ Yushuo Guan ⋅ Yuanxing Zhang ⋅ Wentao Zhang
To View Transform or Not to View Transform: NeRF-based Pre-training Perspective
Hyeonjun Jeong ⋅ Juyeb Shin ⋅ Dongsuk Kum
Robust Test-time Video-Text Retrieval: Benchmarking and Adapting for Query Shifts
Bingqing Zhang ⋅ Zhuo Cao ⋅ Heming Du ⋅ Yang Li ⋅ Xue Li ⋅ Jiajun Liu ⋅ Sen Wang
Mitigating Hallucination in Vision-Language Model with Depth and Spatial-aware Key-Value Refinement
Gusang Lee ⋅ Soohyun Kim ⋅ Donghoon Kim ⋅ Kyuhong Shim ⋅ Byonghyo Shim
LongHorizonUI: A Unified Framework for Robust long-horizon Task Automation of GUI Agent
Bin Kang ⋅ Shaoguo Wen ⋅ YIFEI BI ⋅ Shunlong Wu ⋅ Xinbin Yuan ⋅ Rui Shao ⋅ Junle Wang ⋅ Zhuotao Tian
Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
Yilun Hao ⋅ Yongchao Chen ⋅ Chuchu Fan ⋅ Yang Zhang
Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision
Luozheng Qin ⋅ GONG JIA ⋅ Yuqing Sun ⋅ Tianjiao Li ⋅ Haoyu Pan ⋅ Mengping Yang ⋅ Xiaomeng Yang ⋅ Chao Qu ⋅ Zhiyu Tan ⋅ Hao Li
MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
Peiran Wu ⋅ Zhuorui Yu ⋅ Yunze Liu ⋅ Chi-Hao Wu ⋅ Enmin Zhou ⋅ Junxiao Shen
TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
Xiaobo Xing ⋅ Wei Yuan ⋅ Tong Chen ⋅ Quoc Viet Hung Nguyen ⋅ Xiangliang Zhang ⋅ Hongzhi Yin
RL makes MLLMs see better than SFT
Junha Song ⋅ Sangdoo Yun ⋅ Dongyoon Han ⋅ Jaegul Choo ⋅ Byeongho Heo
Meta-UCF: Unified Task-Conditioned LoRA Generation for Continual Learning in Large Language Models
ShiLin Xiao ⋅ Tianxiang Xu ⋅ Canran Xiao ⋅ Weihao Luo ⋅ Liwei Hou ⋅ Chuangxin Zhao
AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models
Changwoo Baek ⋅ Jouwon Song ⋅ Sohyeon Kim ⋅ Kyeongbo Kong
Imagine How To Change: Explicit Procedure Modeling for Change Captioning
Jiayang Sun ⋅ Zixin Guo ⋅ Min Cao ⋅ Guibo Zhu ⋅ Jorma Laaksonen
SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward
Kaixuan Fan ⋅ Kaituo Feng ⋅ Haoming Lyu ⋅ Dongzhan Zhou ⋅ Xiangyu Yue
K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model
Bangwei Guo ⋅ Yunhe Gao ⋅ Meng Ye ⋅ Difei Gu ⋅ Yang Zhou ⋅ Leon Axel ⋅ Dimitris Metaxas
Cross-Timestep: 3D Diffusion Model with Trans-temporal Memory LSTM and Adaptive Priori Decoding Strategy for Medical Segmentation
Shangqian Wu ⋅ Siyuan Shen ⋅ Yahan Li ⋅ Zhijian Huang ⋅ Ziyu Fan ⋅ Yuanpeng Zhang ⋅ YI WANG ⋅ Lei Deng
S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
Orest Kupyn ⋅ Hirokatsu Kataoka ⋅ Christian Rupprecht
WOW-Seg: A Word-free Open World Segmentation Model
Danyang Li ⋅ Tianhao Wu ⋅ Bin Lin ⋅ Zhenyuan Chen ⋅ Yang Zhang ⋅ Yuxuan Li ⋅ Ming-Ming Cheng ⋅ Xiang Li
Matting Anything 2: Towards Video Matting for Anything
Chenyi Zhang ⋅ Yiheng Lin ⋅ Yunchao Wei ⋅ Hongsong Wang ⋅ Caifeng Shan ⋅ Fang Zhao
ASCIIEval: Benchmarking Models' Visual Perception in Text Strings via ASCII Art
Qi Jia ⋅ Xiang Yue ⋅ Shanshan Huang ⋅ Ziheng Qin ⋅ Yizhu Liu ⋅ Bill Yuchen Lin ⋅ Yang You ⋅ Guangtao Zhai
Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning
Carl Qi ⋅ Xiaojie Wang ⋅ Silong Yong ⋅ Stephen Sheng ⋅ Huitan Mao ⋅ sriram srinivasan ⋅ Manikantan Nambi ⋅ Amy Zhang ⋅ Yeshwant Dattatreya
FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion
Chen-Bin Feng ⋅ Youyang Sha ⋅ Longfei Liu ⋅ Yongjun YU ⋅ Chi-Man VONG ⋅ Xuanlong Yu ⋅ Xi SHEN
DiVE-k: DIFFERENTIAL VISUAL REASONING FOR FINE-GRAINED IMAGE RECOGNITION
Raja Kumar ⋅ Arka Sadhu ⋅ Ram Nevatia
VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization
Jiajing Lin ⋅ Shu Jiang ⋅ Qingyuan Zeng ⋅ Zhenzhong Wang ⋅ Min Jiang
GmNet: Revisiting Gating Mechanisms From A Frequency View
Yifan Wang ⋅ Xu Ma ⋅ Yitian Zhang ⋅ Yizhou Wang ⋅ Zhongruo Wang ⋅ Sung-Cheol Kim ⋅ Vahid Mirjalili ⋅ Vidya Renganathan ⋅ Yun Fu
Customizing Visual Emotion Evaluation for MLLMs: An Open-vocabulary, Multifaceted, and Scalable Approach
Daiqing Wu ⋅ Dongbao Yang ⋅ Sicheng Zhao ⋅ Can Ma ⋅ Yu ZHOU
Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detection
Hongyan Fei ⋅ Zexi Jia ⋅ Chuanwei Huang ⋅ Jinchao Zhang ⋅ Jie Zhou
3DSMT: A Hybrid Spiking Mamba-Transformer for Point Cloud Analysis
zhiming Zhou ⋅ Yong He ⋅ Qiaoyun Wu ⋅ Chaoxu Mu ⋅ Ajmal Mian
Point-Focused Attention Meets Context-Scan State Space: Robust Biological Visual Perception for Point Cloud Representation
Kanglin Qu ⋅ Pan Gao ⋅ Qun Dai ⋅ Yuanhao Sun
Enabling Your Forensic Detector Know How Well It Performs on Distorted Samples
Bin Li ⋅ Haoyu Li ⋅ Haodong Li ⋅ Jiaming Zhong ⋅ Changsheng Chen ⋅ Jiangqun Ni ⋅ bo.cao
EAST: Early Action Prediction Sampling Strategy with Token Masking
Iva Sović ⋅ Ivan Martinović ⋅ Marin Oršić
Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images
Chuangchuang Tan ⋅ Xiang Ming ⋅ Jinglu Wang ⋅ Renshuai Tao ⋅ Bin Li ⋅ Yunchao Wei ⋅ Yao Zhao ⋅ Yan Lu
Motion-Aligned Word Embeddings for Text-to-Motion Generation
Ke Han ⋅ Yueming Lyu ⋅ Nicu Sebe
Divergence-Free Neural Networks with Application to Image Denoising
Sébastien Herbreteau ⋅ Etienne Meunier
OD$^3$: Optimization-free Dataset Distillation for Object Detection
Salwa Al Khatib ⋅ Ahmed Elhagry ⋅ Shitong Shao ⋅ Zhiqiang Shen
BioTamperNet: Affinity-Guided State-Space Model Detecting Tampered Biomedical Images
Soumyaroop Nandi ⋅ Prem Natarajan
Salient Object Ranking via Cyclical Perception-Viewing Interaction Modeling
Rongjin Guo ⋅ Ke Xu ⋅ Rynson W Lau
SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection
wei zhang ⋅ Xiang Liu ⋅ Ningjing Liu ⋅ Mingxin Liu ⋅ Wei Liao ⋅ Chunyan Xu ⋅ Xue Yang
Learning Heterogeneous Degradation Representation for Real-World Super-Resolution
Haowei Li ⋅ Pengxu Wei ⋅ Dongyu Zhang ⋅ Liang Lin
WebDS: An End-to-End Benchmark for Web-based Data Science
Ethan Hsu ⋅ Hong Meng Yam ⋅ Ines Bouissou ⋅ Aaron John ⋅ Raj Thota ⋅ Josh Koe ⋅ Vivek Putta ⋅ G Dharesan ⋅ Alexander Spangher ⋅ Shikhar Murty ⋅ Tenghao Huang ⋅ Christopher Manning
Exponential-Wrapped Mechanisms: Differential Privacy on Hadamard Manifolds Made Practical
Yangdi Jiang ⋅ Xiaotian Chang ⋅ Lei Ding ⋅ Linglong Kong ⋅ Bei Jiang
Black-Box Privacy Attacks on Shared Representations in Multitask Learning
John Abascal ⋅ Nicolás Berrios ⋅ Alina Oprea ⋅ Jonathan Ullman ⋅ Adam Smith ⋅ Matthew Jagielski
A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data Synthesis
Forough Fazeliasl ⋅ Michael Minyi Zhang ⋅ Linglong Kong ⋅ Bei Jiang
Membership Privacy Risks of Sharpness Aware Minimization
Young In Kim ⋅ Andrea Agiollo ⋅ Pratiksha Agrawal ⋅ Johannes Royset ⋅ Rajiv Khanna
Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
Aurélien Bellet ⋅ Edwige Cyffers ⋅ Davide Frey ⋅ Romaric Gaudel ⋅ Dimitri Lerévérend ⋅ Francois Taiani
PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints
Jiahao Huo ⋅ Shuliang Liu ⋅ Bin Wang ⋅ Junyan Zhang ⋅ Yibo Yan ⋅ Aiwei Liu ⋅ Xuming Hu ⋅ Mingxun Zhou
Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
Gauri Pradhan ⋅ Joonas Jälkö ⋅ Santiago Zanella-Beguelin ⋅ Antti Honkela
FHE-Coder: Benchmarking Secure Agentic Code Generation for Fully Homomorphic Encryption
Mayank Kumar ⋅ Jiaqi Xue ⋅ Mengxin Zheng ⋅ Qian Lou
Detecting Misbehaviors of Large Vision-Language Models by Evidential Uncertainty Quantification
Tao Huang ⋅ Rui Wang ⋅ Xiaofei Liu ⋅ Yi Qin ⋅ Li Duan ⋅ Liping Jing
EnsembleSHAP: Faithful and Certifiably Robust Attribution for Random Subspace Method
Yanting Wang ⋅ Jinyuan Jia
Federated Learning with Profile Mapping under Distribution Shifts and Drifts
Mohan Li ⋅ Dario Fenoglio ⋅ Martin Gjoreski ⋅ Marc Langheinrich
Optimal Transport-Induced Samples against Out-of-Distribution Overconfidence
Keke Tang ⋅ Ziyong Du ⋅ Xiaofei Wang ⋅ Weilong Peng ⋅ Peican Zhu ⋅ Zhihong Tian
AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models
Zihao Zhu ⋅ Xinyu Wu ⋅ Gehan Hu ⋅ Siwei Lyu ⋅ Ke Xu ⋅ Baoyuan Wu
Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning
Renyang Liu ⋅ Guanlin Li ⋅ Tianwei Zhang ⋅ See-Kiong Ng
Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness
Tsubasa Takahashi ⋅ Shojiro Yamabe ⋅ Futa Waseda ⋅ Kento Sasaki
Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
Jenny Huang ⋅ Yunyi Shen ⋅ Dennis Wei ⋅ Tamara Broderick
Defending against Backdoor Attacks via Module Switching
Weijun Li ⋅ Ansh Arora ⋅ Xuanli He ⋅ Mark Dras ⋅ Qiongkai Xu
SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC
Jinglong Luo ⋅ Zhuo Zhang ⋅ Yehong Zhang ⋅ Shiyu Liu ⋅ Ye Dong ⋅ HUI WANG ⋅ Yue Yu ⋅ Xun Zhou ⋅ Zenglin Xu
INTIMA: A Benchmark for Human-AI Companionship Behavior
Lucie-Aimée Kaffee ⋅ Giada Pistilli ⋅ Yacine Jernite
Revisiting the Past: Data Unlearning with Model State History
Keivan Rezaei ⋅ Mehrdad Saberi ⋅ Abhilasha Ravichander ⋅ Soheil Feizi
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
Ismail Lamaakal ⋅ Chaymae Yahyati ⋅ Khalid Makkaoui ⋅ Ibrahim Ouahbi ⋅ Yassine Maleh
Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection
Yongxin Deng ⋅ Zhen Fang ⋅ Sharon Li ⋅ Ling Chen
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility
Dawood Wasif ⋅ Terrence Moore ⋅ Jin-Hee Cho
ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents
Hwan Chang ⋅ Yonghyun Jun ⋅ Hwanhee Lee
Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization
Junyoung Yang ⋅ Kyungmin Kim ⋅ Sangdon Park
MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection
Liancheng Fang ⋅ Aiwei Liu ⋅ Henry Peng Zou ⋅ Yankai Chen ⋅ Hengrui Zhang ⋅ Zhongfen Deng ⋅ Philip Yu
Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning
Yiwei Chen ⋅ Yuguang Yao ⋅ Yihua Zhang ⋅ Bingquan Shen ⋅ Gaowen Liu ⋅ Sijia Liu
A Unified Total Variation Framework for Membrane Potential Perturbation Dynamic
Zhao-Rong Lai ⋅ Xiwen Yuan ⋅ Ziliang Chen ⋅ Liangda Fang ⋅ Yongsen Zheng
SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From
Yao Tong ⋅ Haonan Wang ⋅ Siquan Li ⋅ Kenji Kawaguchi ⋅ Tianyang Hu
RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents
Chengquan Guo ⋅ Chulin Xie ⋅ Yu Yang ⋅ Zhaorun Chen ⋅ Zinan Lin ⋅ Xander Davies ⋅ Yarin Gal ⋅ Dawn Song ⋅ Bo Li
Reinforcement Unlearning via Group Relative Policy Optimization
Efstratios Zaradoukas ⋅ Bardh Prenkaj ⋅ Gjergji Kasneci
DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
Amira Guesmi ⋅ Muhammad Shafique
Robust Federated Inference
Akash Dhasade ⋅ Sadegh Farhadkhani ⋅ Rachid Guerraoui ⋅ Nirupam Gupta ⋅ Maxime Jacovella ⋅ Anne-Marie Kermarrec ⋅ Rafael Pinot
RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning Models
Yunseok Han ⋅ Yejoon Lee ⋅ Jaeyoung Do
HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection
Min-Hsuan Yeh · Max Kamachee · Seongheon Park · Yixuan Li
A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments
Manuel Cherep ⋅ Chengtian Ma ⋅ Abigail Xu ⋅ Maya Shaked ⋅ Pattie Maes ⋅ Nikhil Singh
Evolution of Concepts in Language Model Pre-Training
Xuyang Ge ⋅ Wentao Shu ⋅ Jiaxing Wu ⋅ Yunhua Zhou ⋅ Zhengfu He ⋅ Xipeng Qiu
Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models
Zhaoyi Li ⋅ Jiatong Li ⋅ Gangwei Jiang ⋅ Linqi Song ⋅ Defu Lian ⋅ Ying Wei
Log Probability Tracking of LLM APIs
Timothée Chauvin ⋅ Erwan Le Merrer ⋅ Francois Taiani ⋅ Gilles Tredan
EditLens: Quantifying the Extent of AI Editing in Text
Katherine Thai ⋅ Bradley Emi ⋅ Elyas Masrour ⋅ Mohit Iyyer
DualEdit: Mitigating Safety Fallback in LLM Backdoor Editing via Affirmation-Refusal Regulation
Houcheng Jiang ⋅ Zetong Zhao ⋅ Junfeng Fang ⋅ Haokai Ma ⋅ Ruipeng Wang ⋅ Xiang Wang ⋅ Xiangnan He ⋅ Yang Deng
Bayesian Neural Networks for Functional ANOVA Model
Seokhun Park ⋅ Choeun Kim ⋅ Jihu Lee ⋅ Yunseop Shin ⋅ Insung Kong ⋅ Yongdai Kim
Copy-Paste to Mitigate Large Language Model Hallucinations
Yongchao Long ⋅ Yingying Zhang ⋅ Xianbin Wen ⋅ Xian Wu ⋅ Yuxi Zhou ⋅ Shenda Hong
Full-Graph vs. Mini-Batch Training: Comprehensive Analysis from a Batch Size and Fan-Out Size Perspective
Mengfan liu ⋅ Da Zheng ⋅ Junwei Su ⋅ Chuan Wu
Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs
Ziqian Zhong ⋅ Aditi Raghunathan
Routing, Cascades, and User Choice for LLMs
Rafid Mahmood
Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
Mark Russinovich ⋅ Yanan Cai ⋅ Ahmed Salem
Label-Free Mitigation of Spurious Correlations in VLMs using Sparse Autoencoders
Bharat Chandra Yalavarthi ⋅ Nalini Ratha ⋅ Venu Govindaraju
Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas
Luke Guerdan ⋅ Justin Whitehouse ⋅ Kimberly Truong ⋅ Ken Holstein ⋅ Steven Wu
Understanding Cross-layer Contributions to Mixture-of-Experts Routing in LLMs
Wengang Li ⋅ Lingqi Zhang ⋅ Toshio Endo ⋅ Mohamed Wahib
MoEEdit: Efficient and Routing-Stable Knowledge Editing for Mixture-of-Experts LLMs
Yupu Gu ⋅ Rongzhe Wei ⋅ Andy Zhu ⋅ Pan Li
Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition
Zhengfu He ⋅ Junxuan Wang ⋅ Rui Lin ⋅ Xuyang Ge ⋅ Wentao Shu ⋅ Qiong Tang ⋅ Junping Zhang ⋅ Xipeng Qiu
Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language
Angie Boggust ⋅ Donghao Ren ⋅ Yannick Assogba ⋅ Dominik Moritz ⋅ Arvind Satyanarayan ⋅ Fred Hohman
Priors in time: Missing inductive biases for language model interpretability
Ekdeep Singh Lubana ⋅ Can Rager ⋅ Sai Sumedh R. Hindupur ⋅ Valérie Costa ⋅ Oam Patel ⋅ Sonia Murthy ⋅ Thomas Fel ⋅ Greta Tuckute ⋅ Daniel Wurgaft ⋅ Eric Bigelow ⋅ Demba Ba ⋅ Melanie Weber ⋅ Aaron Mueller
Patronus: Interpretable Diffusion Models with Prototypes
Nina Weng ⋅ Aasa Feragen ⋅ Siavash Bigdeli
OpenAgentSafety: A Comprehensive Framework For Evaluating Real-World AI Agent Safety
Sanidhya Vijayvargiya ⋅ Aditya Soni ⋅ Xuhui Zhou ⋅ Zora Zhiruo Wang ⋅ Nouha Dziri ⋅ Graham Neubig ⋅ Maarten Sap
Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
Kyle O'Brien ⋅ Stephen Casper ⋅ Quentin Anthony ⋅ Tomek Korbak ⋅ Robert Kirk ⋅ Xander Davies ⋅ Ishan Mishra ⋅ Geoffrey Irving ⋅ Yarin Gal ⋅ Stella R Biderman
Spilling the Beans: Teaching LLMs to Self-Report Their Hidden Objectives
Chloe Li ⋅ Mary Phuong ⋅ Daniel Tan
Statistical Guarantees in the Search for Less Discriminatory Algorithms
Chris Hays ⋅ Benjamin Laufer ⋅ Solon Barocas ⋅ Manish Raghavan
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
Junxiao Yang ⋅ Jinzhe Tu ⋅ Haoran Liu ⋅ Xiaoce Wang ⋅ Chujie Zheng ⋅ Zhexin Zhang ⋅ Shiyao Cui ⋅ Caishun Chen ⋅ Tiantian He ⋅ Hongning Wang ⋅ Yew-Soon Ong ⋅ Minlie Huang
Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents
Julia Bazinska ⋅ Max Mathys ⋅ Francesco Casucci ⋅ Mateo Rojas-Carulla ⋅ Xander Davies ⋅ Alexandra Souly ⋅ Niklas Pfister
Bridging Fairness and Explainability: Can Input-Based Explanations Promote Fairness in Hate Speech Detection?
Yifan Wang ⋅ Mayank Jobanputra ⋅ Ji-Ung Lee ⋅ Soyoung Oh ⋅ Isabel Valera ⋅ Vera Demberg
AWM: Accurate Weight-Matrix Fingerprint for Large Language Models
Boyi Zeng ⋅ Lin Chen ⋅ Ziwei He ⋅ Xinbing Wang ⋅ Zhouhan Lin
NDAD: Negative-Direction Aware Decoding for Large Language Models via Controllable Hallucination Signal Injection
Panjia Qiu ⋅ Mingyuan Fan ⋅ Cen Chen ⋅ Daixin Wang
When Style Breaks Safety: Defending LLMs Against Superficial Style Alignment
Yuxin Xiao ⋅ Sana Tonekaboni ⋅ Walter Gerych ⋅ Vinith Suriyakumar ⋅ Marzyeh Ghassemi
VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents
Tri Cao ⋅ Bennett Lim ⋅ Yue Liu ⋅ Yuan Sui ⋅ YUEXIN LI ⋅ Shumin Deng ⋅ Lin Lu ⋅ Nay Oo ⋅ Shuicheng YAN ⋅ Bryan Hooi
Generative Value Conflicts Reveal LLM Priorities
Andy Liu ⋅ Kshitish Ghate ⋅ Mona Diab ⋅ Daniel Fried ⋅ Atoosa Kasirzadeh ⋅ Max Kleiman-Weiner
VLSU: Mapping the Limits of Joint Multimodal Understanding for AI Safety
Shruti Palaskar ⋅ Leon Gatys ⋅ Mona Abdelrahman ⋅ Mar Jacobo ⋅ Laurence Lindsey ⋅ Rutika Moharir ⋅ Gunnar Lund ⋅ Yang Xu ⋅ Navid Shiee ⋅ Jeffrey Bigham ⋅ Charles Maalouf ⋅ Joseph Cheng
BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger Learning
Qiusi Zhan ⋅ Hyeonjeong Ha ⋅ Rui Yang ⋅ Sirui Xu ⋅ Hanyang Chen ⋅ Liang-Yan Gui ⋅ Yu-Xiong Wang ⋅ Huan Zhang ⋅ Heng Ji ⋅ Daniel Kang
Pi-CCA: Prompt-Invariant CCA Certificates for Replay-Free Continual Multimodal Learning
Jiayu Zhang ⋅ Chuangxin Zhao ⋅ Canran Xiao ⋅ Ruibo Duan ⋅ Wenyi Mo ⋅ Haoyu Gao ⋅ Wenshuo Wang
CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting
Sumin In ⋅ Youngdong Jang ⋅ Utae Jeong ⋅ MinHyuk Jang ⋅ Hyeongcheol Park ⋅ Eunbyung Park ⋅ Sangpil Kim
Untraceable DeepFakes via Traceable Fingerprint Elimination
Jiewei Lai ⋅ Lan Zhang ⋅ Chen Tang ⋅ Pengcheng Sun ⋅ Xinming Wang ⋅ YUNHAO WANG
Pragma-VL: Towards a Pragmatic Arbitration of Safety and Helpfulness in MLLMs
Ming Wen ⋅ Kun Yang ⋅ Xin Chen ⋅ Jingyu Zhang ⋅ DINGDING HAN ⋅ shiwen cui ⋅ Yuedong Xu
Take Note: Your Molecular Dataset Is Probably Aligned
Peter Lippmann ⋅ Roman Remme ⋅ Manuel Viktor Klockow ⋅ Fred A Hamprecht
ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs
Adi Simhi ⋅ Jonathan Herzig ⋅ Martin Tutek ⋅ Itay Itzhak ⋅ Idan Szpektor ⋅ Yonatan Belinkov
SafeDialBench: A Fine-Grained Safety Evaluation Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks
Hongye Cao ⋅ Sijia Jing ⋅ Yanming Wang ⋅ Ziyue Peng ⋅ Zhixin Bai ⋅ Zhe Cao ⋅ Meng Fang ⋅ Fan Feng ⋅ JIAHENG LIU ⋅ Boyan Wang ⋅ Tianpei Yang ⋅ Jing Huo ⋅ Yang Gao ⋅ Fanyu Meng ⋅ Xi Yang ⋅ Chao Deng ⋅ Junlan Feng
LitmusValues: Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values Prioritization with AIRiskDilemmas
Yu Ying Chiu ⋅ Zhilin Wang ⋅ Sharan Maiya ⋅ Yejin Choi ⋅ Kyle Fish ⋅ Sydney Levine ⋅ Evan Hubinger
Certifying the Full YOLO Pipeline: A Probabilistic Verification Approach
Zongxin Liu ⋅ Lijia Yu ⋅ Tao Lin ⋅ Zhiming Chi ⋅ Lijun Zhang
SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks
Mingqian Feng ⋅ Xiaodong Liu ⋅ Weiwei Yang ⋅ Jialin Song ⋅ Xuekai Zhu ⋅ Chenliang Xu ⋅ Jianfeng Gao
SoSBench: Benchmarking Safety Alignment on Six Scientific Domains
Fengqing Jiang ⋅ Fengbo Ma ⋅ Zhangchen Xu ⋅ Yuetai Li ⋅ Zixin Rao ⋅ Bhaskar Ramasubramanian ⋅ Luyao Niu ⋅ Bo Li ⋅ Xianyan Chen ⋅ Zhen Xiang ⋅ Radha Poovendran
Cost-of-Pass: An Economic Framework for Evaluating Language Models
Mehmet Hamza Erol ⋅ Batu El ⋅ Mirac Suzgun ⋅ Mert Yuksekgonul ⋅ James Y Zou
PerSpectra: A Scalable and Configurable Pluralist Benchmark of Perspectives from Arguments
Shangrui Nie ⋅ Kian Omoomi ⋅ Lucie Flek ⋅ Zhixue Zhao ⋅ Charles Welch
BANZ-FS: BANZSL Fingerspelling Dataset
Xin Shen ⋅ Yan Ke ⋅ Xinyu Wang ⋅ Xin Yu
Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
Lily Zhang ⋅ Smitha Milli ⋅ Karen Jusko ⋅ Jonathan Smith ⋅ Brandon Amos ⋅ Wassim Bouaziz ⋅ Manon Revel ⋅ Jack Kussman ⋅ Yasha Sheynin ⋅ Lisa Titus ⋅ Bhaktipriya Radharapu ⋅ Jane Dwivedi-Yu ⋅ Vidya Sarma ⋅ Kristopher Rose ⋅ Maximilian Nickel
ZeroSiam: An Efficient Asymmetry for Test-Time Entropy Optimization without Collapse
Guohao Chen ⋅ Shuaicheng Niu ⋅ Chen Deyu ⋅ Jiahao Yang ⋅ Zitian Zhang ⋅ Mingkui Tan ⋅ Pengcheng Wu ⋅ Zhiqi Shen
Exploring Mode Connectivity in Krylov Subspace for Domain Generalization
aodi Li ⋅ Liansheng Zhuang ⋅ Xiao Long ⋅ Houqiang Li ⋅ Shafei Wang
Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation
Seonghwi Kim ⋅ Sungho Jo ⋅ Wooseok Ha ⋅ Minwoo Chae
TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA
ChanJoo Jung ⋅ Jaehyung Kim
Solving Football by Exploiting Equilibrium Structure of 2p0s Differential Games with One-Sided Information
Mukesh Ghimire ⋅ Lei Zhang ⋅ Zhe Xu ⋅ Yi Ren
Towards Strategic Persuasion with Language Models
Zirui Cheng ⋅ Jiaxuan You
Infinite Horizon Markov Economies
Denizalp Goktas ⋅ Sadie Zhao ⋅ Yiling Chen ⋅ Amy Greenwald
Learning a Game by Paying the Agents
Brian Zhang ⋅ Tao Lin ⋅ Yiling Chen ⋅ Tuomas Sandholm
Does the Data Processing Inequality Reflect Practice? On the Utility of Low-Level Tasks
Roy Turgeman ⋅ Tom Tirer
Scaling Laws of SignSGD in Linear Regression: When Does It Outperform SGD?
Jihwan Kim ⋅ Dogyoon Song ⋅ Chulhee Yun
Dimension-Free Decision Calibration for Nonlinear Loss Functions
Jingwu Tang ⋅ Jiayun Wu ⋅ Steven Wu ⋅ Jiahao Zhang
Diversified Multinomial Logit Contextual Bandits
Heesang Ann ⋅ Taehyun Hwang ⋅ Min-hwan Oh
Why Ask One When You Can Ask $k$? Learning-to-Defer to the Top-$k$ Experts
Yannis Montreuil ⋅ Axel Carlier ⋅ Lai Xing Ng ⋅ Wei Ooi
Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought
Hanlin Zhu ⋅ Shibo Hao ⋅ Zhiting Hu ⋅ Jiantao Jiao ⋅ Stuart Russell ⋅ Yuandong Tian
Tuning the burn-in phase in training recurrent neural networks improves their performance
Julian D. Schiller ⋅ Malte Heinrich ⋅ Victor Lopez ⋅ Matthias Müller
A Statistical Theory of Overfitting for Imbalanced Classification
Jingyang Lyu ⋅ Kangjie Zhou ⋅ Yiqiao Zhong
Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
Alkis Kalavasis ⋅ Anay Mehrotra ⋅ Manolis Zampetakis ⋅ Felix Zhou ⋅ Ziyu Zhu
Differentially Private Two-Stage Gradient Descent for Instrumental Variable Regression
Haodong Liang ⋅ Yanhao Jin ⋅ Krishna Balasubramanian ⋅ Lifeng Lai
Topology and geometry of the learning space of ReLU networks: connectivity and singularities
Marco Nurisso ⋅ Pierrick Leroy ⋅ Giovanni Petri ⋅ Francesco Vaccarino
Active Learning for Decision Trees with Provable Guarantees
Arshia Soltani Moakhar ⋅ Tanapoom Laoaron ⋅ Faraz Ghahremani ⋅ Kiarash Banihashem ⋅ MohammadTaghi Hajiaghayi
Metric $k$-clustering using only Weak Comparison Oracles
Rahul Raychaudhury ⋅ Aryan Esmailpour ⋅ sainyam galhotra ⋅ Stavros Sintos
Physics-informed learning under mixing: How physical knowledge speeds up learning
Anna Scampicchio ⋅ Leonardo Felipe Toso ⋅ Rahel Rickenbach ⋅ James Anderson ⋅ Melanie Zeilinger
Improved high-dimensional estimation with Langevin dynamics and stochastic weight averaging
Stanley Wei ⋅ Alex Damian ⋅ Jason Lee
Theoretical Analysis of Contrastive Learning under Imbalanced Data: From Training Dynamics to a Pruning Solution
Haixu Liao ⋅ Yating Zhou ⋅ Songyang Zhang ⋅ Meng Wang ⋅ Shuai Zhang
Unbiased Gradient Estimation for Event Binning via Functional Backpropagation
Jinze Chen ⋅ Wei Zhai ⋅ Han Han ⋅ Tiankai Ma ⋅ Yang Cao ⋅ Bin Li ⋅ Zheng-Jun Zha
High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes
Aukosh Jagannath ⋅ Taj Jones-McCormick ⋅ Varnan Sarangian
Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit
Bohan Zhang ⋅ Zihao Wang ⋅ Hengyu Fu ⋅ Jason Lee
Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
Youssef Chaabouni ⋅ David Gamarnik
Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners
Soichiro Kumano ⋅ Hiroshi Kera ⋅ Toshihiko Yamasaki
Destruction is a General Strategy to Learn Generation; Diffusion's Strength is to Take it Seriously; Exploration is the Future
Pierre-André Noël
Statistical Guarantees for Approximate Stationary Points of Shallow Neural Networks
Mahsa Taheri · Fang Xie · Johannes Lederer
Characterizing and Optimizing the Spatial Kernel of Multi Resolution Hash Encodings
Tianxiang Dai ⋅ Jonathan Fan
Compose and Fuse: Revisiting the Foundational Bottlenecks in Multimodal Reasoning
Yucheng Wang ⋅ Yifan Hou ⋅ Aydin Javadov ⋅ Mubashara Akhtar ⋅ Mrinmaya Sachan
Diagnosing Generalization Failures from Representational Geometry Markers
Chi-Ning Chou ⋅ Artem Kirsanov ⋅ Yao-Yuan Yang ⋅ SueYeon Chung
Conjuring Semantic Similarity
Tian Yu Liu ⋅ Stefano Soatto
Flow-Disentangled Feature Importance
Xingshu Chen ⋅ Yifeng Guo ⋅ Jin-Hong Du
First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation
Dmytro Vitel ⋅ Anshuman Chhabra
From Data Statistics to Feature Geometry: How Correlations Shape Superposition
Lucas Prieto ⋅ Edward Stevinson ⋅ Melih Barsbey ⋅ Tolga Birdal ⋅ Pedro Mediano
Visual symbolic mechanisms: Emergent symbol processing in Vision Language Models
Rim Assouel ⋅ Declan Campbell ⋅ Yoshua Bengio ⋅ Taylor Webb
How hard is learning to cut? Trade-offs and sample complexity
Sammy Khalife ⋅ Andrea Lodi
Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion
Nate Veldt ⋅ Thomas Stanley ⋅ Benjamin Priest ⋅ Trevor Steil ⋅ Keita Iwabuchi ⋅ T.S. Jayram ⋅ Grace Li ⋅ Geoff Sanders
Adaptive gradient descent on Riemannian manifolds and its applications to Gaussian variational inference
Jiyoung Park ⋅ Jaewook J. Suh ⋅ Bofan Wang ⋅ Anirban Bhattacharya ⋅ Shiqian Ma
Stop Guessing: Choosing the Optimization-Consistent Uncertainty Measurement for Evidential Deep Learning
Linye Li ⋅ Yufei Chen ⋅ Xiaodong Yue ⋅ Xujing Zhou ⋅ Qunjie Chen
Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data
Aayush Mishra ⋅ Daniel Habermann ⋅ Marvin Schmitt ⋅ Stefan Radev ⋅ Paul-Christian Bürkner
Combinatorial Bandit Bayesian Optimization for Tensor Outputs
Jingru Huang ⋅ Haijie Xu ⋅ Jie Guo ⋅ manrui jiang ⋅ Chen Zhang
Model Misspecification in Simulation-Based Inference - Recent Advances and Open Challenges
Jan Boelts
Primal-Dual Policy Optimization for Linear CMDPs with Adversarial Losses
Kihyun Yu ⋅ Seoungbin Bae ⋅ Dabeen Lee
When More is Less: Understanding Chain-of-Thought Length in LLMs
Yuyang Wu ⋅ Yifei Wang ⋅ Ziyu Ye ⋅ Tianqi Du ⋅ Stefanie Jegelka ⋅ Yisen Wang
Change Point Localization and Inference in Dynamic Multilayer Networks
Fan Wang ⋅ Kyle Ritscher ⋅ Yik Lun Kei ⋅ Xin Ma ⋅ OSCAR HERNAN MADRID PADILLA
DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning
Yifan Wang ⋅ Bolian Li ⋅ Junlin Wu ⋅ Zhaoxuan Tan ⋅ Zheli Liu ⋅ Ruqi Zhang ⋅ Ananth Grama ⋅ Qingkai Zeng
Less Is More: Clustered Cross-Covariance Control for Offline RL
Nan Qiao ⋅ Sheng Yue ⋅ Shuning Wang ⋅ Yongheng Deng ⋅ Ju Ren
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
Mingxuan Cui ⋅ Duo Zhou ⋅ Yuxuan Han ⋅ Grani A. Hanasusanto ⋅ Qiong Wang ⋅ Huan Zhang ⋅ Zhengyuan Zhou
ReFORM: Reflected Flows for On-support Offline RL via Noise Manipulation
Songyuan Zhang ⋅ Oswin So ⋅ H M Sabbir Ahmad ⋅ Eric Yu ⋅ Matthew Cleaveland ⋅ Mitchell Black ⋅ Chuchu Fan
Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding
Daqian Shao ⋅ Thomas Kleine Buening ⋅ Marta Kwiatkowska
Action-Free Offline-To-Online RL via Discretised State Policies
Natinael Neggatu ⋅ Jeremie Houssineau ⋅ Giovanni Montana
Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning
Byeongchan Kim ⋅ Min-hwan Oh
QeRL: Beyond Efficiency - Quantization-enhanced Reinforcement Learning for LLMs
Wei Huang ⋅ Yi Ge ⋅ Shuai Yang ⋅ Yicheng Xiao ⋅ Huizi Mao ⋅ Yujun Lin ⋅ Hanrong Ye ⋅ Sifei Liu ⋅ Ka Chun Cheung ⋅ Hongxu Yin ⋅ Yao Lu ⋅ XIAOJUAN QI ⋅ Song Han ⋅ Yukang Chen
Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach
Utsav Singh ⋅ Souradip Chakraborty ⋅ Wesley Suttle ⋅ Brian Sadler ⋅ Derrik Asher ⋅ Anit Kumar Sahu ⋅ Mubarak Shah ⋅ Vinay Purushothaman Namboodiri ⋅ Amrit Bedi
Relative Value Learning
Marc Höftmann ⋅ Jan Robine ⋅ Stefan Harmeling
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Jiazhan Feng ⋅ Shijue Huang ⋅ Xingwei Qu ⋅ Ge Zhang ⋅ Yujia Qin ⋅ Baoquan Zhong ⋅ Chengquan Jiang ⋅ Jinxin Chi ⋅ Wanjun Zhong
Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward
Peter Chen ⋅ Xiaopeng Li ⋅ Ziniu Li ⋅ Wotao Yin ⋅ Xi Chen ⋅ Tianyi Lin
Geometry of Uncertainty: Learning Metric Spaces for Multimodal State Estimation in RL
Alfredo Reichlin ⋅ Adriano Pacciarelli ⋅ Danica Kragic ⋅ Miguel Vasco
Pretrain Value, Not Reward: Decoupled Value Policy Optimization
Chenghua Huang ⋅ Lu Wang ⋅ Fangkai Yang ⋅ Pu Zhao ⋅ Qingwei Lin ⋅ Dongmei Zhang ⋅ Saravan Rajmohan
Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation
Guojian Zhan ⋅ Letian Tao ⋅ Pengcheng Wang ⋅ Yixiao Wang ⋅ Yuxin Chen ⋅ Yiheng Li ⋅ Hongyang Li ⋅ Masayoshi Tomizuka ⋅ Shengbo Li
Exploratory Diffusion Model for Unsupervised Reinforcement Learning
Chengyang Ying ⋅ Huayu Chen ⋅ Xinning Zhou ⋅ Zhongkai Hao ⋅ Hang Su ⋅ Jun Zhu
Reward Model Routing in Alignment
Xinle Wu ⋅ Yao Lu
A Primer on SO(3) Action Representations in Deep Reinforcement Learning
Martin Schuck ⋅ Sherif Samy ⋅ Angela Schoellig
Single-stream Policy Optimization
Zhongwen Xu ⋅ Zihan Ding
Dual Goal Representations
Seohong Park ⋅ Deepinder Mann ⋅ Sergey Levine
From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments
Saket Tiwari ⋅ Tejas Kotwal ⋅ George D Konidaris
Agentic Reinforced Policy Optimization
Guanting Dong ⋅ Hangyu Mao ⋅ Kai Ma ⋅ Licheng Bao ⋅ Yifei Chen ⋅ Zhongyuan Wang ⋅ Zhongxia Chen ⋅ Jiazhen Du ⋅ Huiyang Wang ⋅ Fuzheng Zhang ⋅ Guorui Zhou ⋅ Yutao Zhu ⋅ Ji-Rong Wen ⋅ Zhicheng Dou
Invert4TVG: A Temporal Video Grounding Framework with Inversion Tasks Preserving Action Understanding Ability
Zhaoyu Chen ⋅ hongnan lin ⋅ Yongwei Nie ⋅ Fei Ma ⋅ Xuemiao Xu ⋅ Fei Yu ⋅ Chengjiang Long
Distributional value gradients for stochastic environments
Baptiste Debes ⋅ Tinne Tuytelaars
Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models
Ron Vainshtein ⋅ Zohar Rimon ⋅ Shie Mannor ⋅ Chen Tessler
The Rank and Gradient Lost in Non-stationarity: Sample Weight Decay for Mitigating Plasticity Loss in Reinforcement Learning
Zihao Wu ⋅ Hongyao Tang ⋅ Yi Ma ⋅ Jiashun Liu ⋅ YAN ZHENG ⋅ Jianye Hao
AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking
Silin Gao ⋅ Antoine Bosselut ⋅ Samy Bengio ⋅ Emmanuel Abbe
A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
Junjie Zhang ⋅ Guozheng Ma ⋅ Shunyu Liu ⋅ Haoyu Wang ⋅ Jiaxing Huang ⋅ Ting-En Lin ⋅ Fei Huang ⋅ Yongbin Li ⋅ Dacheng Tao
ATPO: ADAPTIVE TREE POLICY OPTIMIZATION FOR MULTI-TURN MEDICAL DIALOGUE
Ruike Cao ⋅ Shaojie Bai ⋅ Fugen Yao ⋅ Liang Dong ⋅ Jian Xu ⋅ Li Xiao
MIRACLE: Model-free Imitation and Reinforcement Learning for Adaptive Cut-Selection
Arjun Manoj ⋅ Rijul Tandon ⋅ Agam Gupta ⋅ HARIPRASAD KODAMANA ⋅ Manojkumar Charandas Ramteke
CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
Xiangyuan Xue ⋅ Yifan Zhou ⋅ Guibin Zhang ⋅ Zaibin Zhang ⋅ Yijiang Li ⋅ Chen Zhang ⋅ Zhenfei Yin ⋅ Philip Torr ⋅ Wanli Ouyang ⋅ LEI BAI
MATA: A Trainable Hierarchical Automaton System for Multi-Agent Visual Reasoning
Zhixi Cai ⋅ Fucai Ke ⋅ Kevin Leo ⋅ Sukai Huang ⋅ Maria de la Banda ⋅ Peter Stuckey ⋅ Hamid Rezatofighi
Type-Compliant Adaptation Cascades
Chu-Cheng Lin ⋅ Daiyi Peng ⋅ Yifeng Lu ⋅ Ming Zhang ⋅ Eugene Ie
Learning Efficient and Interpretable Multi-Agent Communication
Wei Du ⋅ Benyu Wu ⋅ YUQING SUN ⋅ Wei Guo ⋅ yuntao du ⋅ Zhongmin Yan ⋅ Guoxian Yu ⋅ Lizhen Cui
Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning
Yonghyeon Jo ⋅ Sunwoo Lee ⋅ Seungyul Han
SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Zihao Guo ⋅ Shuqing Shi ⋅ Richard Willis ⋅ Tristan Tomilin ⋅ Joel Z Leibo ⋅ Yali Du
Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning
Yulei Qin ⋅ Xiaoyu Tan ⋅ Zhengbao He ⋅ Gang Li ⋅ Haojia Lin ⋅ Zongyi Li ⋅ Zihan Xu ⋅ Yuchen Shi ⋅ Siqi Cai ⋅ Renting Rui ⋅ Shaofei Cai ⋅ Yuzheng Cai ⋅ Xuan Zhang ⋅ Sheng Ye ⋅ Ke Li ⋅ Xing Sun
Bayesian Robust Cooperative Multi-Agent Reinforcement Learning Against Unknown Adversaries
Kiarash Kazari ⋅ György Dán
Improving Human-AI Coordination through Online Adversarial Training and Generative Models
Paresh Chaudhary ⋅ Yancheng Liang ⋅ Daphne Chen ⋅ Simon Du ⋅ Natasha Jaques
AgentPO: Enhancing Multi-Agent Collaboration via Reinforcement Learning
lin sun ⋅ Chuang Liu ⋅ Can Zhang ⋅ Yubin Wu ⋅ Weijia Lu ⋅ Ning Wu
Latent Wasserstein Adversarial Imitation Learning
Siqi Yang ⋅ Kai Yan ⋅ Alex Schwing ⋅ Yu-Xiong Wang
Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring
Zhibo Hou ⋅ Zhiyu An ⋅ Wan Du
Sample-efficient and Scalable Exploration in Continuous-Time RL
Klemens Iten ⋅ Lenart Treven ⋅ Bhavya ⋅ Florian Dorfler ⋅ Andreas Krause
VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications
Wei He ⋅ Yueqing Sun ⋅ Hongyan Hao ⋅ Xueyuan Hao ⋅ Zhikang Xia ⋅ Qi GU ⋅ Hui Su ⋅ Xunliang Cai
Model Predictive Adversarial Imitation Learning for Planning from Observation
Tyler Han ⋅ Yanda Bao ⋅ Bhaumik Mehta ⋅ Gabriel Guo ⋅ Sanghun Jung ⋅ Anubhav Vishwakarma ⋅ Emily Kang ⋅ Rosario Scalise ⋅ Jason Zhou ⋅ Bryan Xu ⋅ Byron Boots
Learning to Be Uncertain: Pre-training World Models with Horizon-Calibrated Uncertainty
Shenghua Wan ⋅ Le Gan ⋅ De-Chuan Zhan
MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance
Narjes Nourzad ⋅ Carlee Joe-Wong
OrchestrationBench: LLM-Driven Agentic Planning and Tool Use in Multi-Domain Scenarios
Aelim Ahn ⋅ Sooyeon Lee ⋅ Hyosun Wang ⋅ Chiwan Park ⋅ Daeryong Kim ⋅ Jihyeon Roh ⋅ Kichang Yang ⋅ Wonjun Jang ⋅ Hwang Woosung ⋅ Min Kim ⋅ Jihoon kang
Test-Time Adaptation for LLM Agents via Environment Interaction
Arthur Chen ⋅ Zuxin Liu ⋅ Jianguo Zhang ⋅ Akshara Prabhakar ⋅ Zhiwei Liu ⋅ Shelby Heinecke ⋅ Silvio Savarese ⋅ Victor Zhong ⋅ Caiming Xiong
In-Context Learning for Pure Exploration
Alessio Russo ⋅ Ryan Welch ⋅ Aldo Pacchiano
Zero-Overhead Introspection for Adaptive Test-Time Compute
Rohin Manvi ⋅ Joey Hong ⋅ Tim Seyde ⋅ Maxime Labonne ⋅ Mathias Lechner ⋅ Sergey Levine
Learning Dynamics Feature Representation via Policy Attention for Dynamic Path Planning in Urban Road Networks
Kai Zhang ⋅ Jingjing Gu ⋅ Qiuhong Wang
FastGRPO: Accelerating Policy Optimization via Concurrency-aware Speculative Decoding and Online Draft Learning
Yizhou Zhang ⋅ Ning Lv ⋅ Teng Wang ⋅ Jisheng Dang
Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-Functions
Zequan Wu ⋅ Mengye Ren
Agentic Reinforcement Learning with Implicit Step Rewards
Xiaoqian Liu ⋅ Ke Wang ⋅ Yuchuan Wu ⋅ Fei Huang ⋅ Yongbin Li ⋅ Jianbin Jiao ⋅ Junge Zhang
SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning
Shicheng Liu ⋅ Kai Sun ⋅ Lisheng Fu ⋅ Xilun Chen ⋅ Xinyuan Zhang ⋅ Zhaojiang Lin ⋅ Rulin Shao ⋅ Yue Liu ⋅ Anuj Kumar ⋅ Scott Yih ⋅ Xin Dong
RewardBench 2: Advancing Reward Model Evaluation
Saumya Malik ⋅ Valentina Pyatkin ⋅ Sander Land ⋅ Jacob Morrison ⋅ Noah Smith ⋅ Hanna Hajishirzi ⋅ Nathan Lambert
When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets
Aladin Djuhera ⋅ Farhan Ahmed ⋅ Swanand Kadhe ⋅ Syed Zawad ⋅ Heiko Ludwig ⋅ Holger Boche
How Far Can Unsupervised RLVR Scale LLM Training?
Bingxiang He ⋅ Yuxin Zuo ⋅ Zeyuan Liu ⋅ Shangziqi Zhao ⋅ Zixuan Fu ⋅ Junlin Yang ⋅ Cheng Qian ⋅ Kaiyan Zhang ⋅ Yuchen Fan ⋅ Ganqu Cui ⋅ Xiusi Chen ⋅ Youbang Sun ⋅ Xingtai Lv ⋅ Xuekai Zhu ⋅ Li Sheng ⋅ Ran Li ⋅ Huan-ang Gao ⋅ Yuchen Zhang ⋅ Lifan Yuan ⋅ Bowen Zhou ⋅ Zhiyuan Liu ⋅ Ning Ding
Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed Goals
Octavio Pappalardo
Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies
Qinglong Hu ⋅ Tong Xialiang ⋅ Mingxuan Yuan ⋅ Fei Liu ⋅ Zhichao Lu ⋅ Qingfu Zhang
BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization
Iris Xu ⋅ Guangtao Zeng ⋅ Zexue He ⋅ Charles Jin ⋅ Aldo Pareja ⋅ Dan Gutfreund ⋅ Chuang Gan ⋅ Zhang-Wei Hong
AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy
Zihan Liu ⋅ Zhuolin Yang ⋅ Yang Chen ⋅ Chankyu Lee ⋅ Mohammad Shoeybi ⋅ Bryan Catanzaro ⋅ Wei Ping
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization
Saeed Hedayatian ⋅ Stefanos Nikolaidis
Risk-Sensitive Reinforcement Learning for Alleviating Exploration Dilemmas in Large Language Models
Yuhua Jiang ⋅ Jiawei Huang ⋅ Yufeng Yuan ⋅ Xin Mao ⋅ YuYue ⋅ Qianchuan Zhao ⋅ Lin Yan
Laplacian Kernelized Bandit
Shuang Wu ⋅ Arash Amini
The Markovian Thinker: Architecture-Agnostic Linear Scaling of Reasoning
Milad Aghajohari ⋅ Kamran Chitsaz ⋅ Amirhossein Kazemnejad ⋅ Sarath Chandar ⋅ Alessandro Sordoni ⋅ Aaron Courville ⋅ Siva Reddy
THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning
Qikai Chang ⋅ Zhenrong Zhang ⋅ Pengfei Hu ⋅ Jun Du ⋅ Jiefeng Ma ⋅ Yicheng Pan ⋅ Jianshu Zhang ⋅ Quan Liu ⋅ Gao Jianqing
LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
Haoqiang Kang ⋅ Yizhe Zhang ⋅ Nikki Kuang ⋅ Nicklas Majamaki ⋅ Navdeep Jaitly ⋅ Yian Ma ⋅ Lianhui Qin
MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark
Dingdong WANG ⋅ Junan Li ⋅ Jincenzi Wu ⋅ Dongchao Yang ⋅ Xueyuan Chen ⋅ Tianhua Zhang ⋅ Helen Meng
Disentangled Representation Learning for Parametric Partial Differential Equations
Ning Liu ⋅ Lu Zhang ⋅ Tian Gao ⋅ Yue Yu
Codified Finite-state Machines for Role-playing
Letian Peng ⋅ Yupeng Hou ⋅ Kun Zhou ⋅ Jingbo Shang
ViPO: Visual Preference Optimization at Scale
Ming Li ⋅ Jie Wu ⋅ Justin Cui ⋅ Xiaojie Li ⋅ Rui Wang ⋅ Chen Chen
Causally Robust Reward Learning from Reason-Augmented Preference Feedback
Minjune Hwang ⋅ Yigit Korkmaz ⋅ Daniel Seita ⋅ Erdem Bıyık
RL for Reasoning by Adaptively Revealing Rationales
mohammad hossein amani ⋅ Aryo Lotfi ⋅ Nicolas Baldwin ⋅ Samy Bengio ⋅ Mehrdad Farajtabar ⋅ Emmanuel Abbe ⋅ Robert West
Planned Diffusion
Daniel Israel ⋅ Tian Jin ⋅ Ellie Cheng ⋅ Guy Van den Broeck ⋅ Aditya Grover ⋅ Suvinay Subramanian ⋅ Michael Carbin
ProteinAE: Protein Diffusion Autoencoders for Structure Encoding
Shaoning Li ⋅ Le Zhuo ⋅ Yusong Wang ⋅ Mingyu Li ⋅ Xinheng He ⋅ Fandi Wu ⋅ Hongsheng Li ⋅ Pheng-Ann Heng
Turning Internal Gap into Self-Improvement: Promoting the Generation-Understanding Unification in MLLMs
Yujin Han ⋅ Hao Chen ⋅ Andi Han ⋅ Zhiheng Wang ⋅ Xinyu Liu ⋅ yingya zhang ⋅ Shiwei Zhang ⋅ Difan Zou
Massive Activations are the Key to Local Detail Synthesis in Diffusion Transformers
Chaofan Gan ⋅ Zicheng Zhao ⋅ Yuanpeng Tu ⋅ Xi Chen ⋅ Ziran Qin ⋅ Tieyuan Chen ⋅ Mehrtash Harandi ⋅ Weiyao Lin
MATHMO: Automated Mathematical Modeling Through Adaptive Search
Tennison Liu ⋅ Mihaela van der Schaar
Watermark-based Attribution of AI-Generated Content
Zhengyuan Jiang ⋅ Moyang Guo ⋅ Yuepeng Hu ⋅ Yupu Wang ⋅ Neil Gong
Hallucination Begins Where Saliency Drops
Xiaofeng Zhang ⋅ Yuanchao Zhu ⋅ Chaochen Gu ⋅ Xiaosong Yuan ⋅ Qiyan Zhao ⋅ Jiawei Cao ⋅ Barrett Tang ⋅ Sinan Fan ⋅ Yaomin Shen ⋅ Chen Shen ⋅ Hao Tang
NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization
Enshu Liu ⋅ Xuefei Ning ⋅ Yu Wang ⋅ Zinan Lin
Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data
Gongxu Luo ⋅ Loka Li ⋅ Guangyi Chen ⋅ Haoyue Dai ⋅ Kun Zhang
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models
Fangqi Zhu ⋅ Zhengyang Yan ⋅ Zicong Hong ⋅ Quanxin Shou ⋅ Xiao Ma ⋅ Song Guo
$\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space
Peihao Wang ⋅ Ruisi Cai ⋅ Zhen Wang ⋅ Hongyuan Mei ⋅ Qiang Liu ⋅ Pan Li ⋅ Zhangyang Wang
Bures-Isotropy Alignment: Manifold Learning of Generalized Category Discovery
Luyao Tang ⋅ Kunze Huang ⋅ Chaoqi Chen ⋅ Cheng Chen
Cognitive models can reveal interpretable value trade-offs in language models
Sonia Murthy ⋅ Rosie Zhao ⋅ Jennifer Hu ⋅ Sham Kakade ⋅ Markus Wulfmeier ⋅ Peng Qian ⋅ Tomer Ullman
HarmonyGNNs: Harmonizing Heterophily and Homophily in GNNs via Self-Supervised Node Encoding
Rui Xue ⋅ Tianfu Wu
Scaling Speech Tokenizers with Diffusion Autoencoders
Yuancheng Wang ⋅ Zhenyu Tang ⋅ Yun Wang ⋅ Arthur Hinsvark ⋅ Yingru Liu ⋅ Yinghao Li ⋅ Kainan Peng ⋅ Junyi Ao ⋅ Mingbo Ma ⋅ Mike Seltzer ⋅ Qing He ⋅ Xubo Liu
ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution
Robert Lange ⋅ Yuki Imajuku ⋅ Edoardo Cetin
Exploring Cross-Modal Flows for Few-Shot Learning
Ziqi Jiang ⋅ Yanghao Wang ⋅ Long Chen
Latent Visual Reasoning
Bangzheng Li ⋅ Ximeng Sun ⋅ Jiang Liu ⋅ Ze Wang ⋅ Jialian Wu ⋅ Xiaodong Yu ⋅ Emad Barsoum ⋅ Muhao Chen ⋅ Zicheng Liu
Revisiting Parameter Server in LLM Post-Training
Xinyi Wan ⋅ Penghui Qi ⋅ Guangxing Huang ⋅ Chaoyi Ruan ⋅ Min Lin ⋅ Jialin Li
Inpainting-Guided Policy Optimization for Diffusion Large Language Models
Siyan Zhao ⋅ Mengchen Liu ⋅ Jing Huang ⋅ Miao Liu ⋅ Chenyu Wang ⋅ Bo Liu ⋅ Yuandong Tian ⋅ Guan Pang ⋅ Sean Bell ⋅ Aditya Grover ⋅ Feiyu Chen
AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing
Tianbo Wang ⋅ Yuqing Ma ⋅ Kewei Liao ⋅ Zhange Zhang ⋅ Simin Li ⋅ Jinyang Guo ⋅ Xianglong Liu
HiCache: A Plug-in Scaled-Hermite Upgrade for Taylor-Style Cache-then-Forecast Diffusion Acceleration
Liang Feng ⋅ Shikang Zheng ⋅ Jiacheng Liu ⋅ Yuqi Lin ⋅ Qinming Zhou ⋅ Peiliang Cai ⋅ Xinyu Wang ⋅ Junjie Chen ⋅ Chang Zou ⋅ Yue Ma ⋅ Linfeng Zhang
TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows
Zhenglin Cheng ⋅ Peng Sun ⋅ Jianguo Li ⋅ Tao Lin
Representation Alignment for Diffusion Transformers without External Components
Dengyang Jiang ⋅ Mengmeng Wang ⋅ Liuzhuozheng Li ⋅ Lei Zhang ⋅ Haoyu Wang ⋅ Wei Wei ⋅ Guang Dai ⋅ Yanning Zhang ⋅ Jingdong Wang
Reducing Symmetry Increase in Equivariant Neural Networks
Ning Lin ⋅ Jiacheng Cen ⋅ Anyi Li ⋅ Wenbing Huang ⋅ Hao Sun
Convex Dominance in Deep Learning I: A Scaling Law of Loss and Learning Rate
Zhiqi Bu ⋅ Shiyun Xu ⋅ Jialin Mao
A Dense Subset Index for Collective Query Coverage
Kartik Nair ⋅ Pritish Chakraborty ⋅ Atharva Tambat ⋅ Indradyumna Roy ⋅ Soumen Chakrabarti ⋅ Anirban Dasgupta ⋅ Abir De
DispViT: Direct Stereo Disparity Regression with a Single-Stream Vision Transformer
Tongfan Guan ⋅ Jiaxin Guo ⋅ Tianyu Huang ⋅ Jinhu Dong ⋅ Chen Wang ⋅ Yun-Hui Liu
Image Quality Assessment for Embodied AI
Chunyi Li ⋅ Jiahao Xiao ⋅ Jianbo Zhang ⋅ Farong Wen ⋅ Zicheng Zhang ⋅ Yuan Tian ⋅ Xiangyang Zhu ⋅ Xiaohong Liu ⋅ Zhengxue Cheng ⋅ Weisi Lin ⋅ Guangtao Zhai
PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation Models
Jeongjae Lee ⋅ Jong Chul YE
Reverse-Engineered Reasoning for Open-Ended Generation
Haozhe Wang ⋅ Haoran Que ⋅ Qixin Xu ⋅ Minghao Liu ⋅ Wangchunshu Zhou ⋅ Jiazhan Feng ⋅ Wanjun Zhong ⋅ Wei Ye ⋅ Tong Yang ⋅ Wenhao Huang ⋅ Ge Zhang ⋅ Fangzhen Lin
How Stable is the Next Token? A Geometric View of LLM Prediction Stability
Deyuan Liu ⋅ Zecheng Wang ⋅ Zhanyue Qin ⋅ Zhiying Tu ⋅ Dianhui Chu ⋅ Dianbo Sui
SWINGARENA: Adversarial Programming Arena for Long-context GitHub Issue Solving
Wendong XU ⋅ Jing Xiong ⋅ Chenyang Zhao ⋅ Qiujiang Chen ⋅ Haoran Wang ⋅ Hui Shen ⋅ Zhongwei Wan ⋅ Jianbo Dai ⋅ Taiqiang Wu ⋅ He Xiao ⋅ Chaofan Tao ⋅ Zhuoqing Mao ⋅ Ying Sheng ⋅ Zhijiang Guo ⋅ Hongxia Yang ⋅ Bei Yu ⋅ Lingpeng Kong ⋅ Quanquan Gu ⋅ Ngai Wong
Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
Youssef Mroueh ⋅ Nicolas Dupuis ⋅ Brian Belgodere ⋅ Apoorva Nitsure ⋅ Mattia Rigotti ⋅ Kristjan Greenewald ⋅ Jiri Navratil ⋅ Jarret Ross ⋅ Jesus Rios
Decision Aggregation under Quantal Response
Zhihuan Huang ⋅ Yichong Xia ⋅ Yuqing Kong
LLMs Can Hide Text in Other Text of the Same Length
Antonio Norelli ⋅ Michael Bronstein
S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
Yujin Wang ⋅ Jiarui Wu ⋅ Yichen Bian ⋅ Fan Zhang ⋅ Tianfan Xue
Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks
Shuo He ⋅ Lang Feng ⋅ qi wei ⋅ Xin Cheng ⋅ Lei Feng ⋅ Bo An
Toward Universal and Transferable Jailbreak Attacks on Vision-Language Models
Kaiyuan Cui ⋅ Yige Li ⋅ Yutao Wu ⋅ Xingjun Ma ⋅ Sarah Erfani ⋅ Christopher Leckie ⋅ Hanxun Huang
WavePolyp: Video Polyp Segmentation via Hierarchical Wavelet-Based Feature Aggregation and Inter-Frame Divergence Perception
Yuhua Zhang ⋅ Guilian Chen ⋅ Yuanqin He ⋅ Huisi Wu ⋅ Jing Qin
Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning
Daniel Shao ⋅ Joel Runevic ⋅ Richard Chen ⋅ Drew Williamson ⋅ Ahrong Kim ⋅ Andrew Song ⋅ Faisal Mahmood
Scaling Linear Attention Capacity with Sparse State Expansion
Yuqi Pan ⋅ Yongqi An ⋅ Zheng Li ⋅ Yuhong Chou ⋅ Rui-Jie Zhu ⋅ Xiaohui Wang ⋅ Mingxuan Wang ⋅ Jinqiao Wang ⋅ Guoqi Li
Code2Bench: Scaling Source and Rigor for Dynamic Benchmark Construction
Zhe Zhang ⋅ Runlin Liu ⋅ Aishan Liu ⋅ Xingyu Liu ⋅ Xiang Gao ⋅ Hailong Sun
CoMind: Towards Community-Driven Agents for Machine Learning Engineering
Sijie Li ⋅ Weiwei Sun ⋅ Shanda Li ⋅ Ameet Talwalkar ⋅ Yiming Yang
Training-free Counterfactual Explanation for Temporal Graph Model Inference
Mingjian Lu ⋅ Haolai Che ⋅ Yangxin Fan ⋅ Qu Liu ⋅ Fei Shao ⋅ Tingjian Ge ⋅ Xusheng Xiao ⋅ Yinghui Wu
On Entropy Control in LLM-RL Algorithms
Han Shen
CL-DPS: A Contrastive Learning Approach to Blind Nonlinear Inverse Problem Solving via Diffusion Posterior Sampling
Linfeng Ye ⋅ Shayan Mohajer Hamidi ⋅ Mert Pilanci ⋅ Konstantinos Plataniotis
Tug-of-War No More: Harmonizing Accuracy and Robustness in Vision-Language Models via Stability-Aware Task Vector Merging
Junhao Dong ⋅ Xinghua Qu ⋅ Cong Zhang ⋅ Qi Rong Sua ⋅ Nguyen Duc Thai ⋅ Wenbo Pan ⋅ Xinfeng Li ⋅ Tongliang Liu ⋅ Piotr Koniusz ⋅ Yew-Soon Ong
Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
Ruoxi Cheng ⋅ Hao-Xuan Ma ⋅ Weixin Wang ⋅ Ranjie Duan ⋅ Jiexi Liu ⋅ Xiaoshuang Jia ⋅ Simeng Qin ⋅ Xiaochun Cao ⋅ Yang Liu ⋅ Yang Liu
3DCS: Datasets and Benchmark for Evaluating Conformational Sensitivity in Molecular Representations
Xi Wang ⋅ Yang Zhang ⋅ Yingjia Zhang ⋅ Yejia Cai ⋅ Shenji Wan
Strategic Obfuscation of Deceptive Reasoning in Language Models
Arun Jose ⋅ Niels Warncke ⋅ Mia Taylor
MeSH: Memory-as-State-Highways for Recursive Transformers
Chengting Yu ⋅ Xiaobo Shu ⋅ Yadao Wang ⋅ Yizhen Zhang ⋅ Haoyi Wu ⋅ Jiaang Li ⋅ Rujiao Long ⋅ Ziheng Chen ⋅ Yuchi Xu ⋅ wenbo su ⋅ Bo Zheng
CellDuality: Unlocking Biological Reasoning in LLMs with Self-Supervised RLVR
Yuhang Chen ⋅ Zhen Tan ⋅ Ruichen Zhang ⋅ Mufan Qiu ⋅ Tianlong Chen
FeDaL: Federated Dataset Learning for General Time Series Foundation Models
Shengchao Chen ⋅ Guodong Long ⋅ Michael Blumenstein ⋅ Jing Jiang
LLMs Struggle to Balance Reasoning and World Knowledge in Causal Narrative Understanding
Khurram Yamin ⋅ Shantanu Gupta ⋅ Gaurav Ghosal ⋅ Zachary Lipton ⋅ Bryan Wilder
VoxPrivacy: A Benchmark for Evaluating Interactional Privacy of Speech Language Models
Yuxiang Wang ⋅ HongYu Liu ⋅ DEKUN CHEN ⋅ Xueyao Zhang ⋅ Zhizheng Wu
Scaling Behavior of Discrete Diffusion Language Models
Dimitri von Rütte ⋅ Janis Fluri ⋅ Omead Pooladzandi ⋅ Bernhard Schölkopf ⋅ Thomas Hofmann ⋅ Antonio Orvieto
OmniPortrait: Fine-Grained Personalized Portrait Synthesis via Pivotal Optimization
Dongxu Yue ⋅ Bo Lin ⋅ Yao Tang ⋅ Jiajun Liang ⋅ Zhihai He ⋅ Chun Yuan
Figma2Code: Automating Multimodal Design to Code in the Wild
Yi Gui ⋅ Jiawan Zhang ⋅ Yina Wang ⋅ Tianran Ma ⋅ Yao Wan ⋅ Shilin He ⋅ Dongping Chen ⋅ Zhou Zhao ⋅ Wenbin Jiang ⋅ Xuanhua Shi ⋅ Hai Jin ⋅ Philip Yu
Debiased and Denoised Representation Learning for Incomplete Multi-view Clustering
Qianqian Wang ⋅ Xurui Liao ⋅ Wei Feng ⋅ Quanxue Gao
PRO-MOF: Policy Optimization with Universal Atomistic Models for Controllable MOF Generation
Zicheng Liu ⋅ Ben Fei ⋅ Di Huang
Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks
Xinxi Lyu ⋅ Michael Duan ⋅ Rulin Shao ⋅ Pang Wei Koh ⋅ Sewon Min
ContextPRM: Leveraging Contextual Coherence for multi-domain Test-Time Scaling
Haotian Zhang ⋅ Liu Liu ⋅ Baosheng Yu ⋅ Jiayan Qiu ⋅ Likang Xiao ⋅ Yanwei Ren ⋅ Quan Chen ⋅ Xianglong Liu
Deep Think with Confidence
Yichao Fu ⋅ Xuewei Wang ⋅ Hao Zhang ⋅ Yuandong Tian ⋅ Jiawei Zhao
Joint Optimization for 4D Human-Scene Reconstruction in the Wild
Zhizheng Liu ⋅ Joe Lin ⋅ Wayne Wu ⋅ Bolei Zhou
Better Bounds for the Distributed Experts Problem
David Woodruff ⋅ Samson Zhou
Quantization-Aware Diffusion Models For Maximum Likelihood Training
Shohei Taniguchi ⋅ Masahiro Suzuki ⋅ Yutaka Matsuo
SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models
Ken Gu ⋅ Advait Bhat ⋅ Mike Merrill ⋅ Robert West ⋅ Xin Liu ⋅ Daniel McDuff ⋅ Tim Althoff
Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs
Zhongyang Li ⋅ Ziyue Li ⋅ Tianyi Zhou
QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
Jiazheng Li ⋅ Hongzhou Lin ⋅ Hong Lu ⋅ Kaiyue Wen ⋅ Zaiwen Yang ⋅ Jiaxuan Gao ⋅ Yi Wu ⋅ Jingzhao Zhang
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
Kaiwen Zheng ⋅ Yuji Wang ⋅ Qianli Ma ⋅ Huayu Chen ⋅ Jintao Zhang ⋅ Yogesh Balaji ⋅ Jianfei Chen ⋅ Ming-Yu Liu ⋅ Jun Zhu ⋅ Qinsheng Zhang
The Alignment Waltz: Jointly Training Agents to Collaborate for Safety
Jingyu (Jack) Zhang ⋅ Haozhu Wang ⋅ Eric Michael Smith ⋅ Sid Wang ⋅ Amr Sharaf ⋅ Mahesh Pasupuleti ⋅ Ben Van Durme ⋅ Daniel Khashabi ⋅ Jason E Weston ⋅ Hongyuan Zhan
Diffusion Transformers with Representation Autoencoders
Boyang Zheng ⋅ Nanye Ma ⋅ Shengbang Tong ⋅ Saining Xie
Spatial Mental Modeling from Limited Views
Qineng Wang ⋅ Baiqiao Yin ⋅ Pingyue Zhang ⋅ Jianshu Zhang ⋅ Kangrui Wang ⋅ Zihan Wang ⋅ Jieyu Zhang ⋅ Keshigeyan Chandrasegaran ⋅ Han Liu ⋅ Ranjay Krishna ⋅ Saining Xie ⋅ Jiajun Wu ⋅ Li Fei-Fei ⋅ Manling Li
No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning
Manu Gaur · Darshan Singh S · Makarand Tapaswi
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Expo Talk Panel
12:00 PM - 1:00 PM

Nubank serves 131 million customers across Brazil, Mexico, and Colombia, many of whom accessed financial services for the first time through the platform. This scale demands AI that is both technically excellent and deeply human, capable of understanding individual behavior and delivering personalized, trustworthy experiences across languages and financial backgrounds. We present three interconnected lines of work across Nubank’s AI stack: 1. Efficient model training: research on more efficient optimization to enable training larger, more capable models under real-world resource constraints. 2. Deep learning from user behavior: nuFormer, a transformer-based self-supervised model that learns rich user representations directly from raw transaction sequences to improve large-scale recommendation systems. 3. Production AI agents for customer support: an evaluation-driven framework with a closed loop of context engineering, prompt optimization, LLM judges, and simulation-to-production validation to build high-quality AI agents that serve millions of customer interactions.

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Expo Talk Panel
12:00 PM - 1:00 PM

LLM-based agents struggle to execute complex, multi-step Standard Operating Procedures (SOPs) that are fundamental to industrial automation. Existing benchmarks fail to capture the procedural complexity and tool orchestration demands of real-world workflows. We introduce SOP-Bench, a benchmark of 2,000+ tasks from human expert-authored SOPs across 12 business domains (healthcare, logistics, finance, content moderation, etc.). Using a human-AI collaborative framework, experts crafted authentic SOPs while AI generated artifacts (tools, APIs, datasets), all human-validated, yielding realistic tasks with executable interfaces and ground-truth outputs. SOP-Bench serves as a research enabler for systematically investigating agent architectures, model capabilities, and deployment considerations across diverse procedural tasks. In this talk, we discuss the challenges of real world SOPs and a framework on evaluating them.

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Social

Humanists in AI

Peiqi Sui ⋅ Myra Cheng
12:00 PM - 1:30 PM

This affinity group is for NLP and AI researchers with a prior background or interest in the humanities. As AI research becomes increasingly interdisciplinary - drawing from theories and methods from outside of computer science - it is important to engage with what the humanities have to offer in terms of theories and methods to study language, culture, narrative, subjectivity, mind, emotion, etc. Disciplines like literary and cultural studies, media studies, philosophy, and history have a great deal to offer in terms of studying, building and improving language systems. Topics of interest include (but are not limited to): co intelligence and co-creative systems, narrative understanding, cultural analytics, literary NLP, AI literacy, AI ethics, culture and cognition, etc.

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Social

Reliability in NL-to-SQL Systems

Divyalakshmi Giritharan
12:00 PM - 1:30 PM

Large language models are increasingly used to translate natural language into SQL. But how reliable are they in real-world settings?

In this session, we present a focused evaluation framework for measuring NL-to-SQL performance, including execution correctness, robustness, and query efficiency under varying levels of database context. We’ll discuss how structured QA and validation approaches can help move LLM systems from benchmark success to production reliability.

We invite researchers and practitioners working on NL-to-SQL systems, LLM evaluation, and database applications to participate in the discussion and share perspectives from real-world deployments.

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Social

Women in Machine Learning (WiML) Social @ ICLR

Laya Rafiee Sevyeri ⋅ Giulia Clerici
12:00 PM - 3:00 PM

The Women in Machine Learning (WiML) initiative, founded in 2006, was created to connect and support the relatively small but growing community of researchers in ML who identify as women or nonbinary. Over the years, WiML events at conferences such as NeurIPS, ICML, ICLR, and other conferences have highlighted cutting-edge research, fostered mentorship, and created space for meaningful technical exchange. For ICLR, we propose a WiML Social that keeps WiML’s core mission while emphasising interaction and networking. The event will feature a panel discussion, facilitated roundtables, and structured networking activities designed to spark in-depth conversations and future collaborations. Building on the success of the highly interactive WiML formats at ICLR in the past, we will include small-group discussions, allowing participants to engage directly on open research questions and career paths. The goals remain the same: to celebrate the work of researchers who identify as women or nonbinary, to create opportunities for junior and senior participants to connect, and to strengthen community ties within the broader ICLR ecosystem.

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Social
12:00 PM - 1:30 PM

World models have recently gained popularity thanks to impressive results and the availability of data. However, no consensus has been reached on how they should help improve decision-making. This social aims to foster discussions around the role of world models in decision-making.

World models are used in many ways. Some approaches use world models as synthetic data generators. Others leverage them at test time to reason or evaluate policies. Video models, in addition to an inverse dynamics model, can be used to infer actions. Discussing those choices appears to be essential to assess their role in decision-making.

When data is scarce, some methods only learn a world model to improve representation learning and rely on model-free methods for decision-making to avoid hallucinations. We believe it is fruitful to discuss the scenarios for which world models can be trusted.

The exchanges can focus on discussing in which situations world models have an edge over algorithms that do not directly learn the transition dynamics. It is also not yet clear whether world models are more relevant at certain levels of hierarchy.

Finally, discussing why world models can enable better generalization can provide an answer to the question asked in this social.

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Social
12:00 PM - 1:30 PM

As AI agents increasingly operate in shared environments — negotiating, transacting, and making joint decisions — questions of coordination and cooperation become inseparable from questions of system design. How do we incentivize cooperation among autonomous agents when no single party controls the system? What coordination protocols, commitment devices, and oversight mechanisms work in distributed settings? How do we prevent collusion and ensure robustness as agent networks scale? This social is hosted by Cooperative AI Foundation and The Institute for Decentralized AI as a gathering for researchers working on multi-agent systems, mechanism design, AI safety, distributed systems, and related areas who are interested in how cooperative and decentralized approaches to AI intersect and inform each other. Drinks will be provided.

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Expo Talk Panel
12:45 PM - 1:45 PM

Agent benchmarks are evolving from static prediction tasks to multi-step tasks requiring tool use, yet most evaluations remain short-horizon, loosely coupled, and state-agnostic. These settings fail to capture the properties that determine reliability in real workflows: persistent state, dense relational structure, role-based access control, and policy-constrained execution. This talk introduces an evaluation framework built on three components: workflow-grounded task definitions, scenario construction derived from operational traces, and a stateful execution environment with persistent databases and verifiable outcomes. Agents are evaluated across tasks that require multi-step planning over interconnected subsystems, exposing failure modes that simply don't appear in short-horizon benchmarks. Scoring combines automated outcome verification with rubrics that assess domain reasoning quality, including constraint prioritization and decision-making under ambiguity. We show that performance degrades predictably with increasing horizon length and constraint density. The primary bottleneck for frontier models is strategic planning under constraint, not tool invocation accuracy. Structural failures surface reliably through outcome checks, while subtler breakdowns in judgment require reasoning-quality assessment. These results suggest that deployable autonomy requires evaluation frameworks that integrate realistic workflows, operational constraints, stateful simulation, and scoring that captures both outcome correctness and the quality of domain-grounded reasoning. This session outlines the design principles, empirical findings, and open research challenges that define this next generation of agent evaluation.

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Expo Talk Panel
12:45 PM - 1:45 PM

As large language models (LLMs) evolve from short-burst chatbots into long-horizon autonomous agents, progress is increasingly bottlenecked by verification asymmetry: rapid gains in domains with cheap correctness signals (e.g., math and code) contrast sharply with limited progress in tasks with weak or delayed verification, such as research planning and strategic decision-making. This talk argues that evaluation and reinforcement learning (RL) beyond easily verifiable domains are the next critical frontier for AI capability. We present results from three new evaluation frameworks. Humanity’s Last Exam (HLE) shows that frontier models are frequently wrong and overconfident at the human-expert level. The Remote Labor Index (RLI) demonstrates that current agents automate only ~2.5% of real, paid freelance work. Visual ToolBench reveals that 70–80% of multimodal agent failures stem from visual perception rather than reasoning. To close these gaps, we introduce Rubrics as Rewards (RaR) within a Group Relative Policy Optimization (GRPO) framework. We show that Dynamic Rubrics, which adaptively elicit evaluation criteria by contrasting model outputs during training, outperform static human-written rubrics and reduce reward hacking in the high-reward regime. These findings motivate a shift from static benchmarks to high-fidelity RL environments, such as Scale Gymnasium, that train agents through interaction rather than imitation.

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Invited Talk
1:45 PM - 2:45 PM

Some of the most iconic images in modern science were never captured by a camera in the traditional sense. Instead, they were inferred from indirect and incomplete measurements, using a combination of physics, prior knowledge, and computation. In this talk, I will explore how physics and machine learning are working together to illuminate parts of the universe that are difficult - or even fundamentally impossible - to observe directly. I’ll begin with the story of black hole imaging, where theory long predicted what we should see, and where confidence came not from a single image, but from the consistency of features across many reconstructions of the same data. Along the way, I’ll show that this kind of inference is not unique to extreme astrophysics, but also underlies how we form images in familiar technologies we rely on every day, where images are similarly reconstructed from indirect measurements using models and assumptions. I’ll show that simple assumptions can take us far, but also where they begin to limit what we can learn. Incorporating richer assumptions through the help of machine learning allows us to extract more from the same data and explore a full range of possibilities that respects varying strengths of the expected physics. Finally, I will discuss how these ideas extend beyond black holes to other scientific imaging problems, including mapping the distribution of dark matter from subtle distortions in the shapes of galaxies due to gravitational lensing. Together, these examples illustrate how modern imaging increasingly relies on integrating physics and machine learning to extract meaningful information from fundamentally limited data to uncover our hidden universe.

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Speaker Bio
Katherine L. (Katie) Bouman is a professor in the Computing and Mathematical Sciences, Electrical Engineering, and Astronomy Departments at the California Institute of Technology. Her work combines ideas from signal processing, computer vision, machine learning, and physics to find and exploit hidden signals for scientific discovery. Before joining Caltech, she was a postdoctoral fellow in the Harvard-Smithsonian Center for Astrophysics. She received her Ph.D. in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT in EECS, and her bachelor's degree in Electrical Engineering from the University of Michigan. She is a Rosenberg Scholar, Heritage Medical Research Institute Investigator, recipient of the Royal Photographic Society Progress Medal, Electronic Imaging Scientist of the Year Award, PECASE Award, Sloan Fellowship, IEEE SPS Laplace Award, and co-recipient of the Breakthrough Prize in Fundamental Physics. As part of the Event Horizon Telescope Collaboration, she co-led the Imaging Working Group and acted as coordinator for papers concerning the first imaging of the M87* and Sagittarius A* black holes.
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Oral
3:15 PM - 4:45 PM
7 Events in this session
ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models
Akshat Ramachandran ⋅ Marina Neseem ⋅ Charbel Sakr ⋅ Rangharajan Venkatesan ⋅ Brucek Khailany ⋅ Tushar Krishna
MrRoPE: Mixed-radix Rotary Position Embedding
Qingyuan Tian ⋅ Wenhong Zhu ⋅ Xiaoran Liu ⋅ Xiaofeng Wang ⋅ Rui Wang
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Ang Lv ⋅ Jin Ma ⋅ Yiyuan Ma ⋅ Siyuan Qiao
ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
Federico Danieli ⋅ Pau Rodriguez ⋅ Miguel Sarabia ⋅ Xavier Suau ⋅ Luca Zappella
Mamba-3: Improved Sequence Modeling using State Space Principles
Aakash Sunil Lahoti ⋅ Kevin Li ⋅ Berlin Chen ⋅ Caitlin Wang ⋅ Aviv Bick ⋅ Zico Kolter ⋅ Tri Dao ⋅ Albert Gu
Energy-Based Transformers are Scalable Learners and Thinkers
Alexi Gladstone ⋅ Ganesh Nanduru ⋅ Md Mofijul Islam ⋅ Peixuan Han ⋅ Hyeonjeong Ha ⋅ Aman Chadha ⋅ Yilun Du ⋅ Heng Ji ⋅ Jundong Li ⋅ Tariq Iqbal
Transformers are Inherently Succinct
Pascal Bergsträßer ⋅ Ryan Cotterell ⋅ Anthony W. Lin
Go to Event Page
Oral
3:15 PM - 4:45 PM
7 Events in this session
World-In-World: World Models in a Closed-Loop World
Jiahan Zhang ⋅ Muqing Jiang ⋅ Nanru Dai ⋅ Taiming Lu ⋅ Arda Uzunoglu ⋅ Shunchi Zhang ⋅ Yana Wei ⋅ Jiahao Wang ⋅ Vishal Patel ⋅ Paul Liang ⋅ Daniel Khashabi ⋅ Cheng Peng ⋅ Rama Chellappa ⋅ Tianmin Shu ⋅ Alan Yuille ⋅ Yilun Du ⋅ Jieneng Chen
Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling
Tal Daniel ⋅ Carl Qi ⋅ Dan Haramati ⋅ Amir Zadeh ⋅ Chuan Li ⋅ Aviv Tamar ⋅ Deepak Pathak ⋅ David Held
Exploratory Diffusion Model for Unsupervised Reinforcement Learning
Chengyang Ying ⋅ Huayu Chen ⋅ Xinning Zhou ⋅ Zhongkai Hao ⋅ Hang Su ⋅ Jun Zhu
Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation
Guojian Zhan ⋅ Letian Tao ⋅ Pengcheng Wang ⋅ Yixiao Wang ⋅ Yuxin Chen ⋅ Yiheng Li ⋅ Hongyang Li ⋅ Masayoshi Tomizuka ⋅ Shengbo Li
Rodrigues Network for Learning Robot Actions
Jialiang Zhang ⋅ Haoran Geng ⋅ Yang You ⋅ Congyue Deng ⋅ Pieter Abbeel ⋅ Jitendra Malik ⋅ Leonidas Guibas
Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
Jatan Shrestha ⋅ Santeri Heiskanen ⋅ Kari Hepola ⋅ Severi Rissanen ⋅ Pekka Jääskeläinen ⋅ Joni Pajarinen
Compositional Diffusion with Guided search for Long-Horizon Planning
Utkarsh Mishra ⋅ David He ⋅ Yongxin Chen ⋅ Danfei Xu
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Oral
3:15 PM - 4:45 PM
7 Events in this session
Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training
Junlin Han ⋅ Shengbang Tong ⋅ David Fan ⋅ Yufan Ren ⋅ Koustuv Sinha ⋅ Philip Torr ⋅ Filippos Kokkinos
Hallucination Begins Where Saliency Drops
Xiaofeng Zhang ⋅ Yuanchao Zhu ⋅ Chaochen Gu ⋅ Xiaosong Yuan ⋅ Qiyan Zhao ⋅ Jiawei Cao ⋅ Barrett Tang ⋅ Sinan Fan ⋅ Yaomin Shen ⋅ Chen Shen ⋅ Hao Tang
Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs
Zhiyu Pan ⋅ Yizheng Wu ⋅ Jiashen Hua ⋅ Junyi Feng ⋅ Shaotian Yan ⋅ Bing Deng ⋅ Zhiguo Cao ⋅ Jieping Ye
MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction
Zilin Xiao ⋅ Qi Ma ⋅ Mengting Gu ⋅ Chun-cheng Chen ⋅ Xintao Chen ⋅ Vicente Ordonez ⋅ Vijai Mohan
Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI
Zheng Huang ⋅ Enpei Zhang ⋅ Weikang Qiu ⋅ Yinghao Cai ⋅ Carl Yang ⋅ Elynn Chen ⋅ Xiang Zhang ⋅ Rex Ying ⋅ Dawei Zhou ⋅ Yujun Yan
WAVE: Learning Unified & Versatile Audio-Visual Embeddings with Multimodal LLM
Changli Tang ⋅ Qinfan Xiao ⋅ Ke Mei ⋅ Tianyi Wang ⋅ Fengyun Rao ⋅ Chao Zhang
Visual symbolic mechanisms: Emergent symbol processing in Vision Language Models
Rim Assouel ⋅ Declan Campbell ⋅ Yoshua Bengio ⋅ Taylor Webb
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Oral
3:15 PM - 4:45 PM
6 Events in this session
SWINGARENA: Adversarial Programming Arena for Long-context GitHub Issue Solving
Wendong XU ⋅ Jing Xiong ⋅ Chenyang Zhao ⋅ Qiujiang Chen ⋅ Haoran Wang ⋅ Hui Shen ⋅ Zhongwei Wan ⋅ Jianbo Dai ⋅ Taiqiang Wu ⋅ He Xiao ⋅ Chaofan Tao ⋅ Zhuoqing Mao ⋅ Ying Sheng ⋅ Zhijiang Guo ⋅ Hongxia Yang ⋅ Bei Yu ⋅ Lingpeng Kong ⋅ Quanquan Gu ⋅ Ngai Wong
BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation via Lens of Dynamic Interactions
Nan Huo ⋅ Xiaohan Xu ⋅ Jinyang Li ⋅ Per Jacobsson ⋅ Shipei Lin ⋅ Bowen Qin ⋅ Binyuan Hui ⋅ Xiaolong Li ⋅ Ge Qu ⋅ Shuzheng Si ⋅ Linheng Han ⋅ Edward Alexander ⋅ Xintong Zhu ⋅ Rui Qin ⋅ Ruihan Yu ⋅ Yiyao Jin ⋅ Feige Zhou ⋅ Weihao Zhong ⋅ Yun Chen ⋅ Hongyu Liu ⋅ Chenhao Ma ⋅ Fatma Ozcan ⋅ Yannis Papakonstantinou ⋅ Reynold Cheng
EditBench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits
Wayne Chi ⋅ Valerie Chen ⋅ Ryan Shar ⋅ Aditya Mittal ⋅ Jenny Liang ⋅ Wei-Lin Chiang ⋅ Anastasios Angelopoulos ⋅ Ion Stoica ⋅ Graham Neubig ⋅ Ameet Talwalkar ⋅ Chris Donahue
Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents
Yueqi Song ⋅ Ketan Ramaneti ⋅ Zaid Sheikh ⋅ Ziru Chen ⋅ Boyu Gou ⋅ Tianbao Xie ⋅ Yiheng Xu ⋅ Danyang Zhang ⋅ Apurva Gandhi ⋅ Fan Yang ⋅ Joseph Liu ⋅ Tianyue Ou ⋅ Zhihao Yuan ⋅ Frank F Xu ⋅ Shuyan Zhou ⋅ Xingyao Wang ⋅ Xiang Yue ⋅ Tao Yu ⋅ Huan Sun ⋅ Yu Su ⋅ Graham Neubig
AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite
Jonathan Bragg ⋅ Mike D'Arcy ⋅ Nishant Balepur ⋅ Dan Bareket ⋅ Bhavana Dalvi Mishra ⋅ Sergey Feldman ⋅ Dany Haddad ⋅ Jena Hwang ⋅ Peter Jansen ⋅ Varsha Kishore ⋅ Bodhisattwa Prasad Majumder ⋅ Aakanksha Naik ⋅ Sigal Rahamimov ⋅ Kyle Richardson ⋅ Amanpreet Singh ⋅ Harshit Surana ⋅ Aryeh Tiktinsky ⋅ Rosni Vasu ⋅ Guy Wiener ⋅ Chloe Anastasiades ⋅ Stefanus Candra ⋅ Jason Dunkelberger ⋅ Daniel Emery ⋅ Rob Evans ⋅ Malachi Hamada ⋅ Regan Huff ⋅ Rodney Kinney ⋅ Matt Latzke ⋅ Jaron Lochner ⋅ Ruben Lozano-Aguilera ⋅ Ngoc-Uyen Nguyen ⋅ Smita Rao ⋅ Amber Tanaka ⋅ Brooke Vlahos ⋅ Peter Clark ⋅ Doug Downey ⋅ Yoav Goldberg ⋅ Ashish Sabharwal ⋅ Daniel Weld
MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science
Ran Xu ⋅ Yuchen Zhuang ⋅ Yishan Zhong ⋅ Yue Yu ⋅ Zifeng Wang ⋅ Xiangru Tang ⋅ Hang Wu ⋅ May Dongmei Wang ⋅ Peifeng Ruan ⋅ Donghan Yang ⋅ Tao Wang ⋅ Guanghua Xiao ⋅ Xin Liu ⋅ Carl Yang ⋅ Yang Xie ⋅ Wenqi Shi
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Oral
3:15 PM - 4:45 PM
4 Events in this session
OpenThoughts: Data Recipes for Reasoning Models
Etash Guha ⋅ Ryan Marten ⋅ Sedrick Keh ⋅ Negin Raoof ⋅ Georgios Smyrnis ⋅ Hritik Bansal ⋅ Marianna Nezhurina ⋅ Jean Mercat ⋅ Trung Vu ⋅ Zayne Sprague ⋅ Ashima Suvarna ⋅ Benjamin Feuer ⋅ Leon Liangyu Chen ⋅ Zaid Khan ⋅ Eric Frankel ⋅ Sachin Grover ⋅ Caroline Choi ⋅ Niklas Muennighoff ⋅ Shiye Su ⋅ Wanjia Zhao ⋅ John Yang ⋅ Shreyas Pimpalgaonkar ⋅ Kartik sharma ⋅ Charlie Ji ⋅ Yichuan Deng ⋅ Sarah Pratt ⋅ Vivek Ramanujan ⋅ Jon Saad-Falcon ⋅ Stutee Acharya ⋅ Jeffrey Li ⋅ Achal Dave ⋅ Alon Albalak ⋅ Kushal Arora ⋅ Blake Wulfe ⋅ Chinmay Hegde ⋅ Greg Durrett ⋅ Sewoong Oh ⋅ Mohit Bansal ⋅ Saadia Gabriel ⋅ Aditya Grover ⋅ Kai-Wei Chang ⋅ Vaishaal Shankar ⋅ Aaron Gokaslan ⋅ Mike Merrill ⋅ Tatsunori Hashimoto ⋅ Yejin Choi ⋅ Jenia Jitsev ⋅ Reinhard Heckel ⋅ Maheswaran Sathiamoorthy ⋅ Alex Dimakis ⋅ Ludwig Schmidt
FRABench and UFEval: Unified Fine-grained Evaluation with Task and Aspect Generalization
Shibo Hong ⋅ jiahao ying ⋅ Haiyuan Liang ⋅ Mengdi Zhang ⋅ Jun Kuang ⋅ Jiazheng Zhang ⋅ Yixin Cao
SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents
Gyuhyeon Seo ⋅ Jungwoo Yang ⋅ Junseong Pyo ⋅ Nalim Kim ⋅ Jonggeun Lee ⋅ Yohan Jo
Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training
Pierre-Carl Langlais ⋅ Pavel Chizhov ⋅ Catherine Arnett ⋅ Carlos Hinostroza ⋅ Mattia Nee ⋅ Eliot Jones ⋅ Irène Girard ⋅ David Mach ⋅ Anastasia Stasenko ⋅ Ivan Yamshchikov
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Poster
3:15 PM - 5:45 PM
503 Events in this session
On the identifiability of causal graphs with multiple environments
Francesco Montagna
Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning
Marcel Wienöbst ⋅ Leonard Henckel ⋅ Sebastian Weichwald
Counterfactual Structural Causal Bandits
Min Woo Park ⋅ Sanghack Lee
IGC-Net for conditional average potential outcome estimation over time
Konstantin Hess ⋅ Dennis Frauen ⋅ Valentyn Melnychuk ⋅ Stefan Feuerriegel
Exploratory Causal Inference in SAEnce
Tommaso Mencattini ⋅ Riccardo Cadei ⋅ Francesco Locatello
ActiveCQ: Active Estimation of Causal Quantities
Erdun Gao ⋅ Dino Sejdinovic
Efficient and Sharp Off-Policy Learning under Unobserved Confounding
Konstantin Hess ⋅ Dennis Frauen ⋅ Valentyn Melnychuk ⋅ Stefan Feuerriegel
Multiverse Mechanica: A Testbed for Learning Game Mechanics via Counterfactual Worlds
Robert Ness ⋅ Ricardo Cannizzaro ⋅ Yunshu Wu ⋅ Lars Kunze
Multi-ReduNet: Interpretable Class-Wise Decomposition of ReduNet
Fengrong Li ⋅ Delin Chu
LightRetriever: A LLM-based Text Retrieval Architecture with Extremely Faster Query Inference
Guangyuan Ma ⋅ Yongliang Ma ⋅ Xuanrui Gou ⋅ Zhenpeng Su ⋅ Ming Zhou ⋅ Songlin Hu
Relationship Alignment for View-aware Multi-view Clustering
Shuangmei Peng ⋅ Zhe Chen ⋅ Tianyang Xu ⋅ Xiaojun Wu
Token Distillation: Attention-Aware Input Embeddings for New Tokens
Konstantin Dobler ⋅ Desmond Elliott ⋅ Gerard de Melo
BIRD: Behavior Induction via Representation-structure Distillation
Galen Pogoncheff ⋅ Michael Beyeler
Dual Perspectives on Non-Contrastive Self-Supervised Learning
Jean Ponce ⋅ Basile Terver ⋅ Martial Hebert ⋅ Michael Arbel
Symmetric Space Learning for Combinatorial Generalization
Jaehyeong Jeong ⋅ Hee-Jun Jung ⋅ Kangil Kim
MILR: Improving Multimodal Image Generation via Test-Time Latent Reasoning
Yapeng Mi ⋅ Yanpeng Zhao ⋅ Henry Li ⋅ Chenxi Li ⋅ Huimin Wu ⋅ Xiaojian Ma ⋅ Song-Chun Zhu ⋅ Yingnian Wu ⋅ Qing Li
Confident Block Diagonal Structure-Aware Invariable Graph Completion for Incomplete Multi-view Clustering
Shuping Zhao ⋅ Chen Yulong ⋅ Jie Wen ⋅ Lunke Fei ⋅ Jinrong Cui ⋅ Tingting Chai
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
Zhuochun Li ⋅ Yong Zhang ⋅ Ming Li ⋅ Yuelyu Ji ⋅ Yiming Zeng ⋅ ning Cheng ⋅ Yun Zhu ⋅ Yanmeng Wang ⋅ Shaojun Wang ⋅ Jing Xiao ⋅ Daqing He
HARP: Hallucination Detection via Reasoning Subspace Projection
Junjie Hu ⋅ Gang Tu ⋅ Cheng Shengyu ⋅ JinXin Li ⋅ Jinting Wang ⋅ Rui Chen ⋅ Zhilong Zhou ⋅ Dongbo Shan
CSRv2: Unlocking Ultra-Sparse Embeddings
Lixuan Guo ⋅ Yifei Wang ⋅ Tiansheng Wen ⋅ Yifan Wang ⋅ Aosong Feng ⋅ Bo Chen ⋅ Stefanie Jegelka ⋅ Chenyu You
UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
Hangke Sui ⋅ Yuqing Wang ⋅ Minh Do
Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry
Ziheng Chen ⋅ Yue Song ⋅ Xiaojun Wu ⋅ Nicu Sebe
LCA: Local Classifier Alignment for Continual Learning
Tung Tran ⋅ Danilo Vasconcellos Vargas ⋅ Khoat Than
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
Runjian Chen ⋅ Hang Zhang ⋅ Avinash Ravichandran ⋅ Hyoungseob Park ⋅ Wenqi Shao ⋅ Alex Wong ⋅ Ping Luo
Latent Thinking Optimization: Your Latent Reasoning Language Model Secretly Encodes Reward Signals in Its Latent Thoughts
Hanwen Du ⋅ Yuxin Dong ⋅ Xia Ning
Artistic Style and the Play of Neural Style Representations
Abhishek Dangeti ⋅ Pavan Gajula ⋅ Vikram Jamwal ⋅ Vivek Srivastava
Prompt-MII: Meta-Learning Instruction Induction for LLMs
Emily Xiao ⋅ Yixiao Zeng ⋅ Ada Chen ⋅ Chin-Jou Li ⋅ Amanda Bertsch ⋅ Graham Neubig
DeepAFL: Deep Analytic Federated Learning
Jianheng Tang ⋅ Yajiang Huang ⋅ Kejia Fan ⋅ Feijiang Han ⋅ Jiaxu Li ⋅ Jinfeng Xu ⋅ Run He ⋅ Anfeng Liu ⋅ Houbing Song ⋅ Huiping Zhuang ⋅ Yunhuai Liu
KeepLoRA: Continual Learning with Residual Gradient Adaptation
Mao-Lin Luo ⋅ Zi-Hao Zhou ⋅ Yi-Lin Zhang ⋅ Yuanyu Wan ⋅ Min-Ling Zhang ⋅ Tong Wei
Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning
Afiya Ayman ⋅ Ayan Mukhopadhyay ⋅ Aron Laszka
OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging
Yongxian Wei ⋅ Runxi Cheng ⋅ Weike Jin ⋅ Enneng Yang ⋅ Li Shen ⋅ LU HOU ⋅ SiNan Du ⋅ Chun Yuan ⋅ Xiaochun Cao ⋅ Dacheng Tao
Scalable Multi-Task Low-Rank Model Adaptation
Zichen Tian ⋅ Antoine Ledent ⋅ Qianru Sun
A Study on PAVE Specification for Learnware
Hao-Yu Shi ⋅ Zhi-Hao Tan ⋅ Zi-Chen Zhao ⋅ Yang Yu ⋅ Zhi-Hua Zhou
Dataset Distillation as Pushforward Optimal Quantization
Hong Ye Tan ⋅ Emma Slade
Energy-Regularized Sequential Model Editing on Hyperspheres
Qingyuan Liu ⋅ Jia-Chen Gu ⋅ Yunzhi Yao ⋅ Hong Wang ⋅ Nanyun (Violet) Peng
Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs
Ruihan Jin ⋅ Pengpeng Shao ⋅ Zhengqi Wen ⋅ Jinyang Wu ⋅ Mingkuan Feng ⋅ Shuo Yang ⋅ Chu Yuan Zhang ⋅ Jianhua Tao
MULTIMODALITY AS SUPERVISION: SELF-SUPERVISED SPECIALIZATION TO THE TEST ENVIRONMENT VIA MULTIMODALITY
Kunal Pratap Singh ⋅ Ali Garjani ⋅ Rishubh Singh ⋅ Muhammad Uzair Khattak ⋅ Jason Toskov ⋅ Efe Tarhan ⋅ Andrei Atanov ⋅ Oğuzhan Kar ⋅ Amir Zamir
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations
Divyat Mahajan · Jannes Gladrow · Agrin Hilmkil · Cheng Zhang · Meyer Scetbon
Diffusion Bridge Variational Inference for Deep Gaussian Processes
Jian Xu ⋅ Delu Zeng ⋅ Qibin Zhao ⋅ John Paisley
A Minimum Variance Path Principle for Accurate and Stable Score-Based Density Ratio Estimation
Wei Chen ⋅ Jiacheng Li ⋅ Shigui Li ⋅ Zhiqi Lin ⋅ Junmei Yang ⋅ John Paisley ⋅ Delu Zeng
Source-Guided Flow Matching
Zifan Wang ⋅ Alice Harting ⋅ Matthieu Barreau ⋅ Michael Zavlanos ⋅ Karl H. Johansson
Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies
David Huk ⋅ Theodoros Damoulas
Beyond Aggregation: Guiding Clients in Heterogeneous Federated Learning
Zijian Wang ⋅ Xiaofei Zhang ⋅ Xin Zhang ⋅ Yukun Liu ⋅ Qiong Zhang
Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation
Mykyta Ielanskyi ⋅ Kajetan Schweighofer ⋅ Lukas Aichberger ⋅ Sepp Hochreiter
Federated ADMM from Bayesian Duality
Thomas Möllenhoff ⋅ Siddharth Swaroop ⋅ Finale Doshi-Velez ⋅ Mohammad Emtiyaz Khan
Multilevel Control Functional
Kaiyu Li ⋅ Yiming Yang ⋅ Xiaoyuan Cheng ⋅ Yi He ⋅ Zhuo Sun
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Lorenzo Loconte · Antonio Mari · Gennaro Gala · Robert Peharz · Cassio de Campos · Erik Quaeghebeur · Gennaro Vessio · Antonio Vergari
Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems
Fulin Lin ⋅ shaowen chen ⋅ Ruishan Fang ⋅ Hongwei Wang ⋅ Tao Lin
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
Khai Nguyen ⋅ Hai Nguyen ⋅ Nhat Ho
Evaluating Language Models' Evaluations of Games
Katherine Collins ⋅ Cedegao Zhang ⋅ Graham Todd ⋅ Lance Ying ⋅ Mauricio da Costa ⋅ Ryan Liu ⋅ Prafull Sharma ⋅ Adrian Weller ⋅ Ionatan Kuperwajs ⋅ Lio Wong ⋅ Joshua B Tenenbaum ⋅ Thomas L. Griffiths
Convergence Analysis of Tsetlin Machines under Noise-Free and Noisy Training Conditions: From $2$ Bits to $k$ Bits
Xuan Zhang ⋅ Lei Jiao ⋅ Ole-Christoffer Granmo
Pre-training Limited Memory Language Models with Internal and External Knowledge
Linxi Zhao ⋅ Sofian Zalouk ⋅ Christian Belardi ⋅ Justin Lovelace ⋅ Jin Zhou ⋅ Ryan Noonan ⋅ Dongyoung Go ⋅ Kilian Weinberger ⋅ Yoav Artzi ⋅ Jennifer Sun
Gradient-Based Diversity Optimization with Differentiable Top-$k$ Objective
Tianyi Zhou ⋅ Sebastian Dalleiger ⋅ Ece Calikus ⋅ Aristides Gionis
HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs
Xinyue Zeng ⋅ Junhong Lin ⋅ Yujun Yan ⋅ Feng Guo ⋅ Liang Shi ⋅ Jun Wu ⋅ Dawei Zhou
Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis
Liu Peng ⋅ Yaochu Jin
Know When to Abstain: Optimal Selective Classification with Likelihood Ratios
Alvin Heng ⋅ Harold Soh
Generalization in LLM Problem Solving: The Case of the Shortest Path
Yao Tong ⋅ Jiayuan Ye ⋅ Anastasia Borovykh ⋅ Reza Shokri
It's All Just Vectorization: einx, a Universal Notation for Tensor Operations
Florian Fervers ⋅ Sebastian Bullinger ⋅ Christoph Bodensteiner ⋅ Michael Arens
On Code-Induced Reasoning in LLMs
Abdul Waheed ⋅ Zhen Wu ⋅ Carolyn Rose ⋅ Daphne Ippolito
Incomplete Multi-View Multi-Label Classification via Shared Codebook and Fused-Teacher Self-Distillation
Xu Yan ⋅ Jun Yin ⋅ Shiliang Sun ⋅ Minghua Wan
Rethinking Consistent Multi-Label Classification Under Inexact Supervision
Wei Wang ⋅ Tianhao Ma ⋅ Ming-Kun Xie ⋅ Gang Niu ⋅ Masashi Sugiyama
Multi-Agent Debate with Memory Masking
Hongduan Tian ⋅ Xiao Feng ⋅ Ziyuan ZHAO ⋅ XiangyuZhu ⋅ Rolan Yan ⋅ Bo Han
SSD-GS: Scattering and Shadow Decomposition for Relightable 3D Gaussian Splatting
Iris Zheng ⋅ Guojun Tang ⋅ Alexander Doronin ⋅ Paul Teal ⋅ Fang-Lue Zhang
Divide, Conquer, and Standardize — A Recursive Architecture for Multi-Agent Systems (MAS)
Ronaldinho Vega Centeno Olivera ⋅ Allan M. de Souza ⋅ JULIO DOS REIS ⋅ Mateus da Silveira ⋅ Alejandro Núñez Arroyo
A Case for Library-Level k-Means Binning in Histogram Gradient-Boosted Trees
Asher Labovich
An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets
Po-Yi Lu · Yi-Jie Cheng · Chun-Liang Li · Hsuan-Tien Lin
Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation
Zhengbo Wang ⋅ Jian Liang ⋅ Ran He ⋅ Zilei Wang ⋅ Tieniu Tan
Expertise Can Be Helpful for Reinforcement Learning-based Macro Placement
Chengrui Gao ⋅ Yunqi Shi ⋅ Ke Xue ⋅ Ruo-Tong Chen ⋅ Siyuan Xu ⋅ Mingxuan Yuan ⋅ Chao Qian ⋅ Zhi-Hua Zhou
FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
Hongpei Li ⋅ Hui Yuan ⋅ Han Zhang ⋅ Jianghao Lin ⋅ Dongdong Ge ⋅ Mengdi Wang ⋅ Yinyu Ye
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
Prince Wang ⋅ Shuyi Chen ⋅ Jinhao Liang ⋅ Ferdinando Fioretto ⋅ Shixiang Zhu
Linking Process to Outcome: Conditional Reward Modeling for LLM Reasoning
Zheng Zhang ⋅ Ziwei Shan ⋅ Kaitao Song ⋅ Yexin Li ⋅ Kan Ren
Predictive Differential Training Guided by Training Dynamics
Fanqi Wang ⋅ Weisheng Tang ⋅ Landon Harris ⋅ Hairong Qi ⋅ Dan Wilson ⋅ Igor Mezic
Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
Juan Ramirez ⋅ Simon Lacoste-Julien
Fast Frank–Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
Shota Takahashi ⋅ Sebastian Pokutta ⋅ Akiko Takeda
Non-Asymptotic Analysis of Efficiency in Conformalized Regression
Yunzhen Yao ⋅ Lie He ⋅ Michael Gastpar
Online Decision-Focused Learning
Aymeric Capitaine ⋅ Maxime Haddouche ⋅ Eric Moulines ⋅ Michael Jordan ⋅ Etienne Boursier ⋅ Alain Oliviero Durmus
Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models
Sam Paech ⋅ Allen Roush ⋅ Judah Goldfeder ⋅ Ravid Shwartz-Ziv
Neural Hamilton--Jacobi Characteristic Flows for Optimal Transport
Yesom Park ⋅ Shu Liu ⋅ Mo Zhou ⋅ Stanley J Osher
Shuffling the Data, Extrapolating the Step: Sharper Bias In Constant Step-Size SGD
Konstantinos Emmanouilidis ⋅ Emmanouil-Vasileios Vlatakis-Gkaragkounis ⋅ Rene Vidal
Scalable Second-order Riemannian Optimization for $K$-means Clustering
Peng Xu ⋅ Chun Ying Hou ⋅ Xiaohui Chen ⋅ Richard Zhang
From Fields to Random Trees
Yaomin Wang ⋅ Xiaodong Luo ⋅ Tianshu Yu
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Lakshya A Agrawal ⋅ Shangyin Tan ⋅ Dilara Soylu ⋅ Noah Ziems ⋅ Rishi Khare ⋅ Krista Opsahl-Ong ⋅ Arnav Singhvi ⋅ Herumb Shandilya ⋅ Michael J Ryan ⋅ Meng Jiang ⋅ Christopher Potts ⋅ Koushik Sen ⋅ Alex Dimakis ⋅ Ion Stoica ⋅ Dan Klein ⋅ Matei Zaharia ⋅ Omar Khattab
Unlocking the Potential of Weighting Methods in Federated Learning Through Communication Compression
Valerii Parfenov ⋅ Nail Bashirov ⋅ Daniil Medyakov ⋅ Dmitry Bylinkin ⋅ Aleksandr Beznosikov
DualMap: Enabling Both Cache Affinity and Load Balancing for Distributed LLM Serving
Ying Yuan ⋅ Pengfei Zuo ⋅ Bo Wang ⋅ Zhangyu Chen ⋅ Zhipeng Tan ⋅ Zhou Yu
Bridging Generalization Gap of Heterogeneous Federated Clients Using Generative Models
Ziru Niu ⋅ Hai Dong ⋅ A. K. Qin
On Coreset for LASSO Regression Problem with Sensitivity Sampling
Yuanbin Zou ⋅ Junyu Huang ⋅ Jianxin Wang ⋅ Qilong Feng
Randomization Boosts KV Caching, Learning Balances Query Load: A Joint Perspective
Fangzhou Wu ⋅ Sandeep Silwal ⋅ Qiuyi (Richard) Zhang
Weight Decay may matter more than µP for Learning Rate Transfer in Practice
Atli Kosson ⋅ Jeremy Welborn ⋅ Yang Liu ⋅ Martin Jaggi ⋅ Xi Chen
Speculative Actions: A Lossless Framework for Faster AI Agents
Naimeng Ye ⋅ Arnav Ahuja ⋅ Georgios Liargkovas ⋅ Yunan Lu ⋅ Kostis Kaffes ⋅ Tianyi Peng
The Polar Express: Optimal Matrix Sign Methods and their Application to the Muon Algorithm
Noah Amsel ⋅ David Persson ⋅ Christopher Musco ⋅ Robert M. Gower
When Large Multimodal Models Confront Evolving Knowledge: Challenges and Explorations
Kailin Jiang ⋅ yuntao du ⋅ Yukai Ding ⋅ Yuchen Ren ⋅ Ning Jiang ⋅ Zhi Gao ⋅ Zilong Zheng ⋅ Lei Liu ⋅ Bin Li ⋅ Qing Li
Teaching Metric Distance to Discrete Autoregressive Language Models
Jiwan Chung ⋅ SAEJIN KIM ⋅ Yongrae Jo ⋅ Jaewoo Park ⋅ Dongjun Min ⋅ Youngjae Yu
Corner Gradient Descent
Dmitry Yarotsky
GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs
Selim An ⋅ Il Suh ⋅ Yeseong Kim
Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration
Bruno Mlodozeniec ⋅ Pierre Ablin ⋅ Louis Béthune ⋅ Dan Busbridge ⋅ Michal Klein ⋅ Jason Ramapuram ⋅ marco cuturi
Training Dynamics Impact Post-Training Quantization Robustness
Albert Catalan-Tatjer ⋅ Niccolò Ajroldi ⋅ Jonas Geiping
Special Unitary Parameterized Estimators of Rotation
Akshay Chandrasekhar
Adaptive Regularization for Large-Scale Sparse Feature Embedding Models
Mang Li ⋅ Wei Lyu
Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis
Zijian Liu
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
Haiquan Qiu ⋅ Quanming Yao
The 99% Success Paradox: When Near-Perfect Retrieval Equals Random Selection
Vyzantinos Repantis ⋅ Harshvardhan Singh ⋅ Tony Joseph ⋅ Cien Zhang ⋅ Akash Vishwakarma ⋅ Svetlana Karslioglu ⋅ Michael Thot ⋅ Ameya Gawde
WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models
Haiyu Wang ⋅ Yutong Wang ⋅ Jack Jiang ⋅ Sai Qian Zhang
Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations
Xinyi Yang ⋅ Liang Zeng ⋅ Heng Dong ⋅ Chao Yu ⋅ Xiaoran Wu ⋅ Huazhong Yang ⋅ Yu Wang ⋅ Milind Tambe ⋅ Tonghan Wang
Programming by Backprop: An Instruction is Worth 100 Examples When Finetuning LLMs
Jonathan Cook ⋅ Silvia Sapora ⋅ Arash Ahmadian ⋅ Akbir Khan ⋅ Tim Rocktaeschel ⋅ Jakob Foerster ⋅ Laura Ruis
Text summarization via global structure awareness
Jiaquan Zhang ⋅ Chaoning Zhang ⋅ Shuxu Chen ⋅ Yibei Liu ⋅ Chenghao Li ⋅ Qigan Sun ⋅ Shuai Yuan ⋅ Fachrina Puspitasari ⋅ Dongshen Han ⋅ Guoqing Wang ⋅ Sung-Ho Bae ⋅ Yang Yang
Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction
Ryan Lucas ⋅ Kayhan Behdin ⋅ Zhipeng Wang ⋅ Qingquan Song ⋅ shao tang ⋅ Rahul Mazumder
Boosting Entropy with Bell Box Quantization
Ningfeng Yang ⋅ Tor Aamodt
Stochastic Self-Organization in Multi-Agent Systems
Nurbek Tastan ⋅ Samuel Horváth ⋅ Karthik Nandakumar
Making, Not Taking, the Best of N
Ammar Khairi ⋅ Daniel Dsouza ⋅ Marzieh Fadaee ⋅ Julia Kreutzer
Universal Model Routing for Efficient LLM Inference
Wittawat Jitkrittum ⋅ Harikrishna Narasimhan ⋅ Ankit Singh Rawat ⋅ Jeevesh Juneja ⋅ Congchao Wang ⋅ Zifeng Wang ⋅ Alec Go ⋅ Chen-Yu Lee ⋅ Pradeep Shenoy ⋅ Rina Panigrahy ⋅ Aditya Krishna Menon ⋅ Sanjiv Kumar
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning
Xiangxiang Chu ⋅ Hailang Huang ⋅ Xiao Zhang ⋅ Fei Wei ⋅ Yong Wang
Pre-training under infinite compute
Konwoo Kim ⋅ Suhas Kotha ⋅ Percy Liang ⋅ Tatsunori Hashimoto
RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
Alonso Urbano ⋅ David Wilson Romero ⋅ Max Zimmer ⋅ Sebastian Pokutta
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
Moritz Akiya Zanger ⋅ Pascal R Van der Vaart ⋅ Wendelin Boehmer ⋅ Matthijs T. J. Spaan
Inconsistency Biases in Dynamic Data Pruning
Qing Zhou ⋅ Tao Yang ⋅ Bingxuan Zhao ⋅ Hongyuan Zhang ⋅ Junyu Gao ⋅ Qi Wang
Hierarchy Decoding: A Training-free Parallel Decoding Strategy for Diffusion Large Language Models
Xiaojing Qi ⋅ Lun Du ⋅ Xinyuan Zhang ⋅ Lanning Wei ⋅ Tao Jin ⋅ Da Zheng
Improving Block-Wise LLM Quantization by 4-bit Block-Wise Optimal Float (BOF4): Analysis and Variations
Patrick Blumenberg ⋅ Thomas Graave ⋅ Tim Fingscheidt
How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining
Kairong Luo ⋅ Zhenbo Sun ⋅ Haodong Wen ⋅ Xinyu Shi ⋅ Jiarui Cui ⋅ Chenyi Dang ⋅ Kaifeng Lyu ⋅ Wenguang Chen
Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel
Chuanyang Zheng ⋅ Jiankai Sun ⋅ Yihang Gao ⋅ Enze Xie ⋅ Yuehao Wang ⋅ Peihao Wang ⋅ Ting Xu ⋅ Matthew Chang ⋅ Liliang Ren ⋅ Jingyao Li ⋅ Jing Xiong ⋅ Kashif Rasul ⋅ Mac Schwager ⋅ Anderson Schneider ⋅ Zhangyang Wang ⋅ Yuriy Nevmyvaka
WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training
Changxin Tian ⋅ Jiapeng Wang ⋅ Qian Zhao ⋅ Kunlong Chen ⋅ Jia Liu ⋅ Ziqi Liu ⋅ Jiaxin Mao ⋅ Xin Zhao ⋅ Zhiqiang Zhang ⋅ JUN ZHOU
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
Wenbing Li ⋅ Zikai Song ⋅ Hang Zhou ⋅ Junqing Yu ⋅ Yunyao Zhang ⋅ Wei Yang
TS$^2$: Training with Sparsemax+, Testing with Softmax for Accurate and Diverse LLM Fine-Tuning
Ziyang Xu ⋅ Ananthu Rajendran Pillai ⋅ Yinghua Yao ⋅ Yuangang Pan
Learning Global Hypothesis Space for Enhancing Synergistic Reasoning Chain
Jiaquan Zhang ⋅ Chaoning Zhang ⋅ Shuxu Chen ⋅ Xudong Wang ⋅ Zhenzhen Huang ⋅ Pengcheng Zheng ⋅ Shuai Yuan ⋅ Sheng Zheng ⋅ Qigan Sun ⋅ Jie Zou ⋅ LIK-HANG LEE ⋅ Yang Yang
Exposing Mixture and Annotating Confusion for Active Universal Test-Time Adaptation
Jiayao Tan ⋅ Fan Lyu ⋅ Chenggong Ni ⋅ Fuyuan Hu ⋅ Wei Feng ⋅ Rui Yao
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter
Zihang Li ⋅ Yangdong Ruan ⋅ Wenjun Liu ⋅ Zhengyang Wang ⋅ Tong Yang
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang ⋅ Changran Hu ⋅ Shubhangi Upasani ⋅ Boyuan Ma ⋅ Fenglu Hong ⋅ Vamsidhar Kamanuru ⋅ Jay Rainton ⋅ Chen Wu ⋅ Mengmeng Ji ⋅ Hanchen Li ⋅ Urmish Thakker ⋅ James Y Zou ⋅ Kunle Olukotun
Mini-cluster Guided Long-tailed Deep Clustering
Zhixin Li ⋅ Yuheng Jia ⋅ Guanliang Chen ⋅ Hui LIU ⋅ Junhui Hou
Efficient Resource-Constrained Training of Transformers via Subspace Optimization
Le-Trung Nguyen ⋅ Enzo Tartaglione ⋅ Van-Tam Nguyen
FlashAttention on a Napkin: A Diagrammatic Approach to Deep Learning IO-Awareness
Vincent Abbott · Gioele Zardini
Multi-Head Low-Rank Attention
Songtao Liu ⋅ Hongwu Peng ⋅ Zhiwei Zhang ⋅ Zhengyu Chen ⋅ Yue Guo
Sequential Parallel Duality in Prefix Scannable Models
Morris Yau ⋅ Sharut Gupta ⋅ Valerie Engelmayer ⋅ Kazuki Irie ⋅ Stefanie Jegelka ⋅ Jacob Andreas
IA2: Alignment with ICL Activations improves Supervised Fine-Tuning
Aayush Mishra ⋅ Daniel Khashabi ⋅ Anqi Liu
Training Dynamics of the Cooldown Stage in Warmup-Stable-Decay Learning Rate Scheduler
Aleksandr Dremov · Alexander Hägele · Atli Kosson · Martin Jaggi
Learned Meta-Tokens for Language Modeling
Alok Shah ⋅ Khush Gupta ⋅ Keshav Ramji ⋅ Pratik A Chaudhari
Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
Arthur S. Bianchessi ⋅ Yasmin C. Aguirre ⋅ Rodrigo C Barros ⋅ Lucas S. Kupssinskü
FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel
Ran Yan ⋅ YOUHE JIANG ⋅ Zhuoming Chen ⋅ Haohui Mai ⋅ Beidi Chen ⋅ Binhang Yuan
Frayed RoPE and Long Inputs: A Geometric Perspective
Davis Wertheimer ⋅ Aozhong Zhang ⋅ Derrick Liu ⋅ Penghang Yin ⋅ Naigang Wang
LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation
Jinwoo Ahn ⋅ Ingyu Seong ⋅ Akhil Kedia ⋅ Junhan Kim ⋅ Hyemi Jang ⋅ Kangwook Lee ⋅ Yongkweon Jeon
ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing
Yongqi An ⋅ Chang Lu ⋅ Kuan Zhu ⋅ Tao Yu ⋅ Chaoyang Zhao ⋅ Hong Wu ⋅ Ming Tang ⋅ Jinqiao Wang
Frequency Bands in RoPE: Base Frequency and Context Length Shape the Interpolation–Extrapolation Trade-off
Yui Oka ⋅ Itsumi Saito ⋅ Kyosuke Nishida ⋅ Kuniko Saito
Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
Zhimin Chen ⋅ Chenyu Zhao ⋅ Ka Mo ⋅ Yunjiang Jiang ⋅ Jane Lee ⋅ KHUSHHALL CHANDRA MAHAJAN ⋅ Ning Jiang ⋅ Kai Ren ⋅ Charlie Li ⋅ Wen-Yun Yang
CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
Zhongzhu Zhou ⋅ Fengxiang Bie ⋅ Ziyan Chen ⋅ Zhenyu Zhang ⋅ Yibo Yang ⋅ Junxiong Wang ⋅ Ben Athiwaratkun ⋅ Xiaoxia (Shirley) Wu ⋅ Shuaiwen Song
Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs
Xiaoran Liu ⋅ Yuerong Song ⋅ Zhigeng Liu ⋅ Zengfeng Huang ⋅ Qipeng Guo ⋅ Zhaoxiang Liu ⋅ Shiguo Lian ⋅ Ziwei He ⋅ Xipeng Qiu
DPad: Efficient Diffusion Language Models with Suffix Dropout
Xinhua Chen ⋅ Sitao Huang ⋅ Cong Guo ⋅ Chiyue Wei ⋅ Yintao He ⋅ Jianyi Zhang ⋅ Hai Li ⋅ Yiran Chen
GoR: A Unified and Extensible Generative Framework for Ordinal Regression
Hongxu Ma ⋅ Han Zhou ⋅ Kai Tian ⋅ Xuefeng Zhang ⋅ Chunjie Chen ⋅ Han Li ⋅ Jihong Guan ⋅ Shuigeng Zhou
MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
Johannes von Oswald ⋅ Nino Scherrer ⋅ Seijin Kobayashi ⋅ Luca Versari ⋅ Songlin Yang ⋅ Maximilian Schlegel ⋅ Kaitlin Maile ⋅ Yanick Schimpf ⋅ Oliver Sieberling ⋅ Alexander Meulemans ⋅ Guillaume Lajoie ⋅ Rif A. Saurous ⋅ Charlotte Frenkel ⋅ Razvan Pascanu ⋅ Blaise Aguera y Arcas ⋅ Joao Sacramento
Expert Divergence Learning for MoE-based Language Models
Jiaang Li ⋅ Haibin Chen ⋅ langming liu ⋅ Yujin Yuan ⋅ Yadao Wang ⋅ Yizhen Zhang ⋅ Chengting Yu ⋅ Xin Tong ⋅ Weidong Zhang ⋅ Shilei Liu ⋅ wenbo su ⋅ Bo Zheng
Flatter Tokens are More Valuable for Speculative Draft Model Training
Jiaming Fan ⋅ CAO DAMING ⋅ Xiangzhong Luo ⋅ Jiale Fu ⋅ CHONGHAN LIU ⋅ xu yang
FAST‑DIPS: Adjoint‑Free Analytic Steps and Hard‑Constrained Likelihood Correction for Diffusion‑Prior Inverse Problems
Minwoo Kim ⋅ Seunghyeok Shin ⋅ Hongki Lim
Partition Generative Modeling: Masked Modeling Without Masks
Justin Deschenaux ⋅ Lan Tran ⋅ Caglar Gulcehre
NeRV-Diffusion: Diffuse Implicit Neural Representation for Video Synthesis
Yixuan Ren ⋅ Hanyu Wang ⋅ Bo He ⋅ Hao Chen ⋅ Abhinav Shrivastava
Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment
Byeonghu Na ⋅ Hyungho Na ⋅ Yeongmin Kim ⋅ Suhyeon Jo ⋅ HeeSun Bae ⋅ Mina Kang ⋅ Il-chul Moon
Continuous Chain of Thought Enables Parallel Exploration and Reasoning
Alperen Gozeten ⋅ Muhammed Ildiz ⋅ Xuechen Zhang ⋅ Hrayr Harutyunyan ⋅ Ankit Singh Rawat ⋅ Samet Oymak
Measurement Score-Based Diffusion Model
Chicago Y. Park ⋅ Shirin Shoushtari ⋅ Hongyu An ⋅ Ulugbek Kamilov
LoRAGen: Structure-Aware Weight Space Learning for LoRA Generation
Hao Huang ⋅ Jingtao Ding ⋅ Mengqi Liao ⋅ Xin Wang ⋅ Jinyang Ban ⋅ Yuan Yuan ⋅ Huaiyu Wan ⋅ Yong Li
PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery
Bowei He ⋅ Lihao Yin ⋅ Huiling Zhen ⋅ Xiaokun Zhang ⋅ Mingxuan Yuan ⋅ Chen Ma
Avey-B
Devang Acharya ⋅ Mohammad Hammoud
Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation
Zhuoyang Zhang ⋅ Luke Huang ⋅ Chengyue Wu ⋅ Shang Yang ⋅ Kelly Peng ⋅ Yao Lu ⋅ Song Han
Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport
Xavier Aramayo Carrasco ⋅ Grigoriy Ksenofontov ⋅ Aleksei Leonov ⋅ Iaroslav Koshelev ⋅ Aleksandr Korotin
Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
Taishi Nakamura ⋅ Satoki Ishikawa ⋅ Masaki Kawamura ⋅ Okamoto ⋅ Daisuke Nohara ⋅ Jun Suzuki ⋅ Rio Yokota
VSF: Simple, Efficient, and Effective Negative Guidance in Few-Step Image Generation Models By Value Sign Flip
Wenqi Guo ⋅ Shan Du
CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure
Boao Kong ⋅ Junzhu Liang ⋅ Yuxi Liu ⋅ Renjia Deng ⋅ Kun Yuan
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
Yuchen Yan ⋅ Yongliang Shen ⋅ Yang Liu ⋅ Jin Jiang ⋅ Mengdi Zhang ⋅ Jian Shao ⋅ Yueting Zhuang
WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction
Shaobin Zhuang ⋅ Yiwei Guo ⋅ Fangyikang Wang ⋅ Canmiao Fu ⋅ Zhipeng Huang ⋅ Zeyue Tian ⋅ Xiaohui Li ⋅ Ying Zhang ⋅ Chen Li ⋅ Yali Wang
Retrospective Sparse Attention for Efficient Long-Context Generation
Seonghwan Choi ⋅ Beomseok Kang ⋅ Dongwon Jo ⋅ jae-joon kim
BézierFlow: Learning Bézier Stochastic Interpolant Schedulers for Few-Step Generation
Yunhong Min ⋅ Juil Koo ⋅ Seungwoo Yoo ⋅ Minhyuk Sung
Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment
Anh Bui ⋅ Thuy-Trang Vu ⋅ Trung Le ⋅ Junae Kim ⋅ Tamas Abraham ⋅ Rollin Omari ⋅ Amardeep Kaur ⋅ Dinh Phung
STEER AWAY FROM MODE COLLISIONS: IMPROVING COMPOSITION IN DIFFUSION MODELS
Debottam Dutta ⋅ Jianchong Chen ⋅ Rajalaxmi Rajagopalan ⋅ Yu-Lin Wei ⋅ Romit Roy Choudhury
wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models
Xiaohang Tang ⋅ Rares Dolga ⋅ Sangwoong Yoon ⋅ Ilija Bogunovic
A Probabilistic Hard Concept Bottleneck for Steerable Generative Models
María Martínez-García ⋅ Ricardo Vazquez Alvarez ⋅ Alejandro Lancho ⋅ Pablo Olmos ⋅ Isabel Valera
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
Huangjie Zheng ⋅ Shansan Gong ⋅ Ruixiang Zhang ⋅ Tianrong Chen ⋅ Jiatao Gu ⋅ Mingyuan Zhou ⋅ Navdeep Jaitly ⋅ Yizhe Zhang
Uni-X: Mitigating Modality Conflict with a Two-End-Separated Architecture for Unified Multimodal Models
Jitai Hao ⋅ Hao Liu ⋅ Xinyan Xiao ⋅ Qiang Huang ⋅ Jun Yu
Interaction Field Matching: Overcoming Limitations of Electrostatic Models
S. Manukhov ⋅ Alexander Kolesov ⋅ Vladimir V. Palyulin ⋅ Aleksandr Korotin
Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
Aditya Shankar ⋅ Yuandou Wang ⋅ Rihan Hai ⋅ Lydia Chen
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
Yiming Huang ⋅ Tolga Birdal
MergePRAG: Orthogonal Merging of Passage-experts for Multi-hop Parametric RAG
Xuebing Liu ⋅ Shanbao Qiao ⋅ Roseline Nyange ⋅ Dongwook Min ⋅ Hyun Kim ⋅ Seung-Hoon Na
Video-GPT via Next Clip Diffusion
Shaobin Zhuang ⋅ Zhipeng Huang ⋅ Ying Zhang ⋅ Fangyikang Wang ⋅ Canmiao Fu ⋅ Binxin Yang ⋅ Chong Sun ⋅ Chen Li ⋅ Yali Wang
Contrastive Diffusion Guidance for Spatial Inverse Problems
Sattwik Basu ⋅ Chaitanya Amballa ⋅ Zhongweiyang Xu ⋅ Jorge Vančo Sampedro ⋅ Srihari Nelakuditi ⋅ Romit Roy Choudhury
Value Matching: Scalable and Gradient-Free Reward-Guided Flow Adaptation
Cristian Jensen ⋅ Luca Schaufelberger ⋅ Riccardo De Santi ⋅ Kjell Jorner ⋅ Andreas Krause
LouisKV: Efficient KV Cache Retrieval for Long Input-Output Sequences
WENBO WU ⋅ Qingyi Si ⋅ Xiurui Pan ⋅ Ye Wang ⋅ Jie Zhang
Topological Flow Matching
Kacper Wyrwal ⋅ Ismail I Ceylan ⋅ Alexander Tong
Bures-Wasserstein Flow Matching for Graph Generation
Keyue Jiang ⋅ Jiahao Cui ⋅ Xiaowen Dong ⋅ Laura Toni
Boomerang Distillation Enables Zero-Shot Model Size Interpolation
Sara Kangaslahti ⋅ Nihal V. Nayak ⋅ Jonathan Geuter ⋅ Marco Fumero ⋅ Francesco Locatello ⋅ David Alvarez-Melis
Once-More: Continuous Self-Correction for Large Language Models via Perplexity-Guided Intervention
Jiaxun Gao ⋅ Him Wai (Michael) Ng ⋅ Z. Jane Wang
Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting
Sergei Kholkin ⋅ Grigoriy Ksenofontov ⋅ David Li ⋅ Nikita Kornilov ⋅ Nikita Gushchin ⋅ Alexandra Suvorikova ⋅ Alexey Kroshnin ⋅ Evgeny Burnaev ⋅ Aleksandr Korotin
Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models
Jingcong Liang ⋅ Siyuan Wang ⋅ Miren Tian ⋅ Yitong Li ⋅ Duyu Tang ⋅ zhongyu wei
A Unification of Discrete, Gaussian, and Simplicial Diffusion
Nuria Chandra ⋅ Yucen Li ⋅ Alan Amin ⋅ Alex Ali ⋅ Joshua Rollins ⋅ Sebastian W. Ober ⋅ Aniruddh Raghu ⋅ Andrew Gordon Wilson
ParoQuant: Pairwise Rotation Quantization for Efficient Reasoning LLM Inference
Yesheng Liang ⋅ Haisheng Chen ⋅ Song Han ⋅ Zhijian Liu
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Junn Yong Loo · Fang Yu Leong · Michelle Adeline · Julia Kaiwen Lau · Hwa Hui Tew · Arghya Pal · Vishnu Monn Baskaran · Chee-Ming Ting · Raphaël C.-W. Phan
TopoFormer: Topology Meets Attention for Graph Learning
Md Joshem Uddin ⋅ Astrit Tola ⋅ Cuneyt Akcora ⋅ Baris Coskunuzer
LogicXGNN: Grounded Logical Rules for Explaining Graph Neural Networks
Chuqin Geng ⋅ Ziyu Zhao ⋅ Zhaoyue Wang ⋅ Haolin Ye ⋅ Yuhe Jiang ⋅ Xujie Si
GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
Ruiyao Xu ⋅ Kaize Ding
DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning
Fan Li ⋅ Xiaoyang Wang ⋅ Wenjie Zhang ⋅ Ying Zhang ⋅ Xuemin Lin
UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction
Weilin Xin ⋅ Chenyu Huang ⋅ Peilin Li ⋅ Jing Zhong ⋅ Jiawei Yao
gLSTM: Mitigating Over-Squashing by Increasing Storage Capacity
Hugh Blayney ⋅ Alvaro Arroyo ⋅ Xiaowen Dong ⋅ Michael Bronstein
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Manuel Lecha ⋅ Andrea Cavallo ⋅ Francesca Dominici ⋅ Ran Levi ⋅ Alessio Del Bue ⋅ Elvin Isufi ⋅ Pietro Morerio ⋅ Claudio Battiloro
On the trade-off between expressivity and privacy in graph representation learning
Patrick Indri ⋅ Tamara Drucks ⋅ Thomas Gärtner
Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering
Sen Zhao ⋅ Lincheng Zhou ⋅ Yue Chen ⋅ Ding Zou
Minimax Sample Complexity of Graph Neural Networks: Lower Bounds and Structural Effects
Ahmad Ghasemi ⋅ Hossein Pishro-Nik
ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks
Yu Zhang ⋅ Bin Yang ⋅ ARIJIT KHAN ⋅ Cuneyt Akcora
G-Merging: Graph Models Merging for Parameter-Efficient Multi-Task Knowledge Consolidation
Jun Chen ⋅ Ziyue Qiao ⋅ Qin Zhang ⋅ Kaize Ding ⋅ Xiao Luo
EvA: Evolutionary Attacks on Graphs
Mohammad Sadegh Akhondzadeh ⋅ Soroush H. Zargarbashi ⋅ Jimin Cao ⋅ Aleksandar Bojchevski
Bridging Input Feature Spaces Towards Graph Foundation Models
Moshe Eliasof ⋅ Krishna Sri Ipsit Mantri ⋅ Beatrice Bevilacqua ⋅ Bruno Ribeiro ⋅ Carola-Bibiane Schönlieb
Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation
Luca Miglior ⋅ Matteo Tolloso ⋅ Alessio Gravina ⋅ Davide Bacciu
LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
Juan P Amboage ⋅ Ernst Roell ⋅ Patrick Schnider ⋅ Bastian Rieck
Gelato: Graph Edit Distance via Autoregressive Neural Combinatorial Optimization
Paolo Pellizzoni ⋅ Till Schulz ⋅ Karsten Borgwardt
Rapid Training of Hamiltonian Graph Networks Using Random Features
Atamert Rahma ⋅ Chinmay Datar ⋅ Ana Cukarska ⋅ Felix Dietrich
Breaking Gradient Temporal Collinearity for Robust Spiking Neural Networks
Desong Zhang ⋅ Jia Hu ⋅ Geyong Min
Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion
Vishal Pramanik ⋅ Maisha Maliha ⋅ Susmit Jha ⋅ Sumit Jha
Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets
Sungho Jo ⋅ Seonghwi Kim ⋅ Minwoo Chae
Improving Black-Box Generative Attacks via Generator Semantic Consistency
Jongoh Jeong ⋅ Hunmin Yang ⋅ Jaeseok Jeong ⋅ Kuk-Jin Yoon
Robust Adversarial Attacks Against Unknown Disturbance via Inverse Gradient Sample
Zhaoyang Zhang ⋅ Shen Wang ⋅ Runze Liu ⋅ Guopu Zhu ⋅ Fanghui Sun ⋅ Ye Lu ⋅ Zeyue Wang ⋅ Yihan Yan
Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO
Xin Yang ⋅ Letian Li ⋅ Abudukelimu Wuerkaixi ⋅ Xuxin Cheng ⋅ Cao Liu ⋅ Ke Zeng ⋅ Xunliang Cai ⋅ Wenyuan Jiang
Fine-Grained Class-Conditional Distribution Balancing for Debiased Learning
Miaoyun Zhao ⋅ Qiang Zhang
Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders
Zhuxin Lei ⋅ Ziyuan Yang ⋅ Yi Zhang
TRACEDET: HALLUCINATION DETECTION FROM THE DECODING TRACE OF DIFFUSION LARGE LANGUAGE MODELS
Shenxu Chang ⋅ Junchi Yu ⋅ Weixing Wang ⋅ Yongqiang Chen ⋅ Jialin Yu ⋅ Philip Torr ⋅ Jindong Gu
When and Where to Reset Matters for Long-Term Test-Time Adaptation
Taejun Lim ⋅ Joong-Won Hwang ⋅ Kibok Lee
A Benchmark for Deep Information Synthesis
Debjit Paul ⋅ Daniel Murphy ⋅ Milan Gritta ⋅ Ronald Cardenas Acosta ⋅ Victor Prokhorov ⋅ Lena Sophia Bolliger ⋅ Aysim Toker ⋅ Roy Miles ⋅ Andreea-Maria Oncescu ⋅ Jasivan Sivakumar ⋅ Philipp Borchert ⋅ Ismail Elezi ⋅ Meiru Zhang ⋅ Ka Lee ⋅ Guchun Zhang ⋅ Jun Wang ⋅ Gerasimos Lampouras
The Adversarial Conditioning Paradox: Why Attacked Inputs Are More Stable, Not Less
Aidos Sapenov ⋅ Aidos Sapenov
Understanding the Role of Training Data in Test-Time Scaling
Adel Javanmard ⋅ Baharan Mirzasoleiman ⋅ Vahab Mirrokni
Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime
Leonardo Defilippis ⋅ Yizhou Xu ⋅ Julius Girardin ⋅ Vittorio Erba ⋅ Emanuele Troiani ⋅ Lenka Zdeborova ⋅ Bruno Loureiro ⋅ Florent Krzakala
Softmax Transformers are Turing-Complete
Hongjian Jiang ⋅ Michael Hahn ⋅ Georg Zetzsche ⋅ Anthony W. Lin
The Softmax Bottleneck Does Not Limit the Probabilities of the Most Likely Tokens
Ronen Basri ⋅ David Jacobs
Saddle-To-Saddle Dynamics in Deep ReLU Networks: Low-Rank Bias in the First Saddle Escape
Ioannis Bantzis ⋅ James Simon ⋅ Arthur Jacot
Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement
Yoonsoo Nam ⋅ Nayara Fonseca ⋅ Seok Hyeong Lee ⋅ Chris Mingard ⋅ Niclas Göring ⋅ Ouns El Harzli ⋅ Abdurrahman Erturk ⋅ Soufiane Hayou ⋅ Ard Louis
Scaling with Collapse: Efficient and Predictable Training of LLM Families
Shane Bergsma ⋅ Bin Zhang ⋅ Nolan Dey ⋅ Shaheer Muhammad ⋅ Gurpreet Gosal ⋅ Joel Hestness
On the Ability of Deep Networks to Learn Symmetries from Data – A Neural Kernel Theory
Andrea Perin · Stephane Deny
Reusing Pre-Training Data at Test Time is a Compute Multiplier
Alex Fang ⋅ Thomas Voice ⋅ Ruoming Pang ⋅ Ludwig Schmidt ⋅ Tom Gunter
STaMP: Sequence Transformation and Mixed Precision for Low-Precision Activation Quantization
Marco Federici ⋅ Riccardo Del Chiaro ⋅ Boris van Breugel ⋅ Paul Whatmough ⋅ Markus Nagel
SUIT: Knowledge Editing with Subspace-Aware Key-Value Mappings
Haewon Park ⋅ Sangwoo Kim ⋅ Yohan Jo
Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
Marlon Becker ⋅ Jonas Konrad ⋅ Luis Rodriguez ⋅ Benjamin Risse
SPECS: Decoupling Multimodal Learning via Self-distilled Preference-based Cold Start
Kun Chen ⋅ Peng Shi ⋅ Haibo Qiu ⋅ Zhixiong Zeng ⋅ Siqi Yang ⋅ Wenji Mao ⋅ Lin Ma
SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization
Yeonsik Park ⋅ Hyeonseong Kim ⋅ Seungkyu Choi
FedDAG: Clustered Federated Learning via Global Data and Gradient Integration for Heterogeneous Environments
Anik Pramanik ⋅ Murat Kantarcioglu ⋅ Vincent Oria ⋅ Shantanu Sharma
Escaping the Homophily Trap: A Threshold-free Graph Outlier Detection Framework via Clustering-guided Edge Reweighting
Yunhe Zhang ⋅ Jinyu Cai ⋅ Qi Hao ⋅ Pengyang Wang ⋅ See-Kiong Ng
Detecting Data Contamination in LLMs via In-Context Learning
Michał Zawalski ⋅ Meriem Boubdir ⋅ Klaudia Bałazy ⋅ Besmira Nushi ⋅ Pablo Ribalta
FlexHiNM-GP: Flexible Hierarchical Pruning via Region Allocation and Channel Permutation
XIAODIE YI ⋅ Hayun Lee ⋅ Dongkun Shin
DISCO: Diversifying Sample Condensation for Efficient Model Evaluation
Alexander Rubinstein ⋅ Benjamin Raible ⋅ Martin Gubri ⋅ Seong Joon Oh
Distilling to Hybrid Attention Models via KL-Guided Layer Selection
Yanhong Li ⋅ Songlin Yang ⋅ Shawn Tan ⋅ Mayank Mishra ⋅ Rameswar Panda ⋅ Jiawei Zhou ⋅ Yoon Kim
Enhancing Instruction Following of LLMs via Activation Steering with Dynamic Rejection
Minjae Kang ⋅ Jaehyung Kim
The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context
Xiaoyuan Liu ⋅ Tian Liang ⋅ Dongyang Ma ⋅ Deyu Zhou ⋅ Haitao Mi ⋅ Pinjia He ⋅ Yan Wang
UniOD: A Universal Model for Outlier Detection across Diverse Domains
Dazhi Fu ⋅ Jicong Fan
Light Differentiable Logic Gate Networks
Lukas Rüttgers ⋅ Till Aczel ⋅ Andreas Plesner ⋅ Roger Wattenhofer
Deep Learning with Learnable Product-Structured Activations
Saanjali S. Maharaj ⋅ Prasanth Nair
Continual Low-Rank Adapters for LLM-based Generative Recommender Systems
Hyunsik Yoo ⋅ Ting-Wei Li ⋅ SeongKu Kang ⋅ Zhining Liu ⋅ Caizhi Charlie Xu ⋅ Qilin Qi ⋅ Hanghang Tong
SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization
Taolin Zhang ⋅ Hang Guo ⋅ Wang Lu ⋅ Tao Dai ⋅ Shu-Tao Xia ⋅ Jindong Wang
MASS: MoErging through Adaptive Subspace Selection
Donato Crisostomi ⋅ Alessandro Zirilli ⋅ Antonio Andrea Gargiulo ⋅ Maria Sofia Bucarelli ⋅ Simone Scardapane ⋅ Fabrizio Silvestri ⋅ Iacopo Masi ⋅ Emanuele Rodolà
Bridging Explainability and Embeddings: BEE Aware of Spuriousness
Cristian D. Paduraru ⋅ Antonio Barbalau ⋅ Radu Filipescu ⋅ Andrei Nicolicioiu ⋅ Elena Burceanu
Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach
Yuhao Zhou ⋅ Jindi Lv ⋅ Yuxin Tian ⋅ Dan Si ⋅ Qing Ye ⋅ Jiancheng Lv
Context Learning for Multi-Agent Discussion
Xingyuan Hua ⋅ Sheng Yue ⋅ Xinyi Li ⋅ Yizhe Zhao ⋅ Jinrui Zhang ⋅ Ju Ren
AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant Distribution
Donghyeok Shin ⋅ Yeongmin Kim ⋅ Suhyeon Jo ⋅ Byeonghu Na ⋅ Il-chul Moon
Beyond Linear Processing: Dendritic Bilinear Integration in Spiking Neural Networks
Jingyang Ma ⋅ Chongming Liu ⋅ Songting Li ⋅ Douglas Zhou
VoG: Enhancing LLM Reasoning through Stepwise Verification on Knowledge Graphs
Wenxin Zhao ⋅ Jiachuan Wang ⋅ Yongqi Zhang ⋅ Shuangyin Li ⋅ Cheng Deng ⋅ Jun Wang ⋅ Lei Chen
Learning residue level protein dynamics with multiscale Gaussians
Mihir Bafna ⋅ Bowen Jing ⋅ Bonnie Berger
FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching
Joongwon Lee ⋅ Seonghwan Kim ⋅ Seokhyun Moon ⋅ Hyunwoo Kim ⋅ Woo Youn Kim
CatalystBench: A Comprehensive Multi-Task Benchmark for Advancing Language Models in Catalysis Science
Xueqing Chen ⋅ Jian Xu ⋅ Ludi Wang ⋅ Yang Gao ⋅ Huihan Zhu ⋅ Yuanchun Zhou ⋅ Yi Du ⋅ Cheng-lin Liu
mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules
Carl Edwards ⋅ Chi Han ⋅ Gawon Lee ⋅ Thao Nguyen ⋅ Sara Szymkuć ⋅ Chetan Prasad ⋅ Bowen Jin ⋅ Jiawei Han ⋅ Ying Diao ⋅ Ge Liu ⋅ Hao Peng ⋅ Bartosz Grzybowski ⋅ Martin Burke ⋅ Heng Ji
Property-Driven Protein Inverse Folding with Multi-Objective Preference Alignment
Junqi Liu ⋅ Xiaoyang Hou ⋅ Chence Shi ⋅ Xin Liu ⋅ Zhi Yang ⋅ Jian Tang
Leveraging Discrete Function Decomposability for Scientific Design
James Bowden ⋅ Sergey Levine ⋅ Jennifer Listgarten
MoMa: A Simple Modular Learning Framework for Material Property Prediction
Botian Wang ⋅ Yawen Ouyang ⋅ Yaohui Li ⋅ Mianzhi Pan ⋅ yuanhang tang ⋅ Haorui Cui ⋅ Yiqun Wang ⋅ Jianbing Zhang ⋅ Xiaonan Wang ⋅ Wei-Ying Ma ⋅ Hao Zhou
h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network
Yanru Qu ⋅ Yijie Zhang ⋅ Wenjuan Tan ⋅ Xiangzhe Kong ⋅ Xiangxin Zhou ⋅ Chaoran Cheng ⋅ Mathieu Blanchette ⋅ Jiaxuan You ⋅ Ge Liu
Exploring Synthesizable Chemical Space with Iterative Pathway Refinements
Seul Lee ⋅ Karsten Kreis ⋅ Srimukh Veccham ⋅ Meng Liu ⋅ Danny Reidenbach ⋅ Saee Paliwal ⋅ Weili Nie ⋅ Arash Vahdat
KGOT: Unified Knowledge Graph and Optimal Transport Pseudo-Labeling for Molecule-Protein Interaction Prediction
Jiayu Qin ⋅ Zhengquan Luo ⋅ Guy Tadmor ⋅ Changyou Chen ⋅ David Zeevi ⋅ Zhiqiang Xu
Enhancing Molecular Property Predictions by Learning from Bond Modelling and Interactions
Yunqing LIU ⋅ Yi Zhou ⋅ Wenqi Fan
Fast and Interpretable Protein Substructure Alignment via Optimal Transport
Zhiyu Wang ⋅ Bingxin Zhou ⋅ Weishu Zhao ⋅ Yang Tan ⋅ Jing Wang ⋅ Pietro Lio ⋅ liang hong
BioBO: Biology-informed Bayesian Optimization for Perturbation Design
Yanke Li ⋅ Tianyu Cui ⋅ Tommaso Mansi ⋅ Mangal Prakash ⋅ Rui Liao
SubDyve: Subgraph-Driven Dynamic Propagation for Virtual Screening Enhancement Controlling False Positive
Jungseob Yi ⋅ Seoyoung Choi ⋅ Sun Kim ⋅ Sangseon Lee
OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
Emily Jin ⋅ Andrei Nica ⋅ Mikhail Galkin ⋅ Jarrid Rector-Brooks ⋅ Kin Long Kelvin Lee ⋅ Santiago Miret ⋅ Frances Arnold ⋅ Michael Bronstein ⋅ Joey Bose ⋅ Alexander Tong ⋅ Chenghao Liu
MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning
Yuanxin Zhuang ⋅ Dazhong Shen ⋅ Ying Sun
TetraGT: Tetrahedral Geometry-Driven Explicit Token Interactions with Graph Transformer for Molecular Representation Learning
Jinjia Feng ⋅ Zhewei Wei ⋅ Taifeng Wang ⋅ Zongyang Qiu
Reinforcement Learning Fine-Tuning Enhances Activation Intensity and Diversity in the Internal Circuitry of LLMs
Honglin Zhang ⋅ Qianyue Hao ⋅ Fengli Xu ⋅ Yong Li
Learning Collective Variables from BioEmu with Time-Lagged Generation
Seonghyun Park ⋅ Kiyoung Seong ⋅ Soojung Yang ⋅ Rafael Gomez-Bombarelli ⋅ Sungsoo Ahn
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours
Rafael Pablos Sarabia ⋅ Joachim Nyborg ⋅ Morten Birk ⋅ Jeppe Sjørup ⋅ Anders Vesterholt ⋅ Ira Assent
Station2Radar: Query‑Conditioned Gaussian Splatting for Precipitation Field
Doyi Kim ⋅ Minseok Seo ⋅ Changick Kim
Improving Extreme Wind Prediction with Frequency-Informed Learning
Chenrui Xu ⋅ Xi Huang ⋅ Ying-Jun Zhang ⋅ Jianwei Huang
DeepPrim: a Physics-Driven 3D Short-term Weather Forecaster via Primitive Equation Learning
Jiawei Chen ⋅ Weiqi Chen ⋅ Rong Hu ⋅ Peiyuan Liu ⋅ Haifan Zhang ⋅ Liang Sun
Towards Sustainable Investment Policies Informed by Opponent Shaping
Juan Duque ⋅ Razvan Ciuca ⋅ Ayoub Echchahed ⋅ Hugo Larochelle ⋅ Aaron Courville
BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest Management
Kevin Dsouza ⋅ Enoch Ofosu ⋅ Daniel Amaogu ⋅ Jérôme Pigeon ⋅ Richard Boudreault ⋅ Pooneh Maghoul ⋅ Juan Moreno-Cruz ⋅ Yuri Leonenko
Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction
Zhao Yang ⋅ Yi Duan ⋅ Jiwei Zhu ⋅ Ying Ba ⋅ Chuan Cao ⋅ Bing Su
CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization
Yicheng Hu ⋅ Xinyu Lin ⋅ Shulin Li ⋅ Wenjie Wang ⋅ Fengbin ZHU ⋅ Fuli Feng
Controlling Repetition in Protein Language Models
Jiahao Zhang ⋅ ZEQING ZHANG ⋅ Di Wang ⋅ Lijie Hu
PathChat-SegR1: Reasoning Segmentation in Pathology via SO-GRPO
Zelin Liu ⋅ Dongdong Chen ⋅ Yusong Sun ⋅ Yuqi Hu ⋅ Huang Jie ⋅ Sicheng Dong ⋅ Xu Han ⋅ Hongmei Yi ⋅ Qiyuan Bao ⋅ Lichi Zhang
Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs with Application to Glucose Prediction
Bob Zou ⋅ Lu Tian
Distilling and Adapting: A Topology-Aware Framework for Zero-Shot Interaction Prediction in Multiplex Biological Networks
Chutong Deng ⋅ Sugitha Janarthanan ⋅ Yan Sun ⋅ Zihao Jing ⋅ Pingzhao Hu
Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
Tai Hoang ⋅ Alessandro Trenta ⋅ Alessio Gravina ⋅ Niklas Freymuth ⋅ Philipp Becker ⋅ Davide Bacciu ⋅ Gerhard Neumann
FlowSymm: Physics–Aware, Symmetry–Preserving Graph Attention for Network Flow Completion
Ege Demirci ⋅ Francesco Bullo ⋅ Ananthram Swami ⋅ Ambuj K Singh
Riesz Neural Operator for Solving Partial Differential Equations
Shouyi Liu ⋅ Xiaokang Yang ⋅ Yuntian Chen
Accelerating Inference for Multilayer Neural Networks with Quantum Computers
Arthur G. Rattew ⋅ Po-Wei Huang ⋅ Naixu Guo ⋅ Lirandë Pira ⋅ Patrick Rebentrost
Spectral-guided Physical Dynamics Distillation
Youjin Kim ⋅ Dagyeong Na ⋅ JaeYong Lee ⋅ Junseok Kwon
Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction
Bin Cao ⋅ Yang Liu ⋅ Longhan Zhang ⋅ Yifan Wu ⋅ Zhixun Li ⋅ Yuyu Luo ⋅ Hong Cheng ⋅ Yang Ren ⋅ Tongyi ZHANG
Adaptive Mamba Neural Operators
Zeyuan Song ⋅ Zheyu Jiang
P3D: Highly Scalable 3D Neural Surrogates for Physics Simulations with Global Context
Benjamin Holzschuh ⋅ Georg Kohl ⋅ Florian Redinger ⋅ Nils Thuerey
ViPRA: Video Prediction for Robot Actions
Sandeep Kumar Routray ⋅ Hengkai Pan ⋅ Unnat Jain ⋅ Shikhar Bahl ⋅ Deepak Pathak
REI-Bench: Can Embodied Agents Understand Vague Human Instructions in Task Planning?
Chenxi Jiang ⋅ Chuhao Zhou ⋅ Jianfei Yang
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling
Xiaolong Tang ⋅ Meina Kan ⋅ Shiguang Shan ⋅ Xilin CHEN
Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations
Shivansh Patel ⋅ Shraddhaa Mohan ⋅ Hanlin Mai ⋅ Unnat Jain ⋅ Svetlana Lazebnik ⋅ Yunzhu Li
OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning
Yuecheng Liu ⋅ DaFeng Chi ⋅ Shiguang Wu ⋅ Zhanguang Zhang ⋅ Yuzheng Zhuang ⋅ Bowen Yang ⋅ He Zhu ⋅ Lingfeng Zhang ⋅ Pengwei Xie ⋅ David Gamaliel Arcos Bravo ⋅ Yingxue Zhang ⋅ Jianye Hao ⋅ Xingyue Quan
ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
Jinqing Zhang ⋅ Zehua Fu ⋅ zelinxu ⋅ wenying.dai ⋅ Qingjie Liu ⋅ Yunhong Wang
Embodied Navigation Foundation Model
Jiazhao Zhang ⋅ Anqi Li ⋅ Yunpeng Qi ⋅ Minghan Li ⋅ Jiahang Liu ⋅ Shaoan Wang ⋅ Haoran Liu ⋅ Gengze Zhou ⋅ Yuze Wu ⋅ Xingxing Li ⋅ Yuxin Fan ⋅ Wenjun Li ⋅ Zhibo Chen ⋅ Fei Gao ⋅ Qi Wu ⋅ Zhizheng Zhang ⋅ He Wang
FASTer: Toward Powerful and Efficient Autoregressive Vision–Language–Action Models with Learnable Action Tokenizer and Block-wise Decoding
Yicheng Liu ⋅ Shiduo Zhang ⋅ Zibin Dong ⋅ Baijun Ye ⋅ Tianyuan Yuan ⋅ Xiaopeng Yu ⋅ Linqi Yin ⋅ Chenhao Lu ⋅ Junhao Shi ⋅ Luca Jiang-Tao Yu ⋅ Liangtao Zheng ⋅ Jingjing Gong ⋅ Tao Jiang ⋅ Xipeng Qiu ⋅ Hang Zhao
From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors
Zhengshen Zhang ⋅ 昊 李 ⋅ Yalun Dai ⋅ Zhengbang Zhu ⋅ Lei Zhou ⋅ Chenchen Liu ⋅ Dong Wang ⋅ Francis Tay ⋅ Sijin Chen ⋅ Ziwei Liu ⋅ Yuxiao Liu ⋅ Xinghang Li ⋅ Pan Zhou
Sparse Imagination for Efficient Visual World Model Planning
Junha Chun ⋅ Youngjoon Jeong ⋅ Taesup Kim
EquAct: An SE(3)-Equivariant Multi-Task Transformer for 3D Robotic Manipulation
Xupeng Zhu ⋅ Yu Qi ⋅ Yizhe Zhu ⋅ Robin Walters ⋅ Robert Platt
CoNavBench: Collaborative Long-Horizon Vision-Language Navigation Benchmark
Tianhang Wang ⋅ Xinhai Li ⋅ Fan Lu ⋅ Tianshi Gong ⋅ Jiankun Dong ⋅ Weiyi Xue ⋅ Sanqing Qu ⋅ Chenjia Bai ⋅ Guang Chen
Time Optimal Execution of Action Chunk Policies Beyond Demonstration Speed
Sunwoo Kim ⋅ Jeongjun Kim ⋅ Joseph Lim
ARTDECO: Toward High-Fidelity On-the-Fly Reconstruction with Hierarchical Gaussian Structure and Feed-Forward Guidance
Guanghao Li ⋅ Kerui Ren ⋅ Linning Xu ⋅ Zhewen Zheng ⋅ Changjian Jiang ⋅ Xin Gao ⋅ Bo DAI ⋅ Jian Pu ⋅ Mulin Yu ⋅ Jiangmiao Pang
Policy Contrastive Decoding for Robotic Foundation Models
Shihan Wu ⋅ Xu Luo ⋅ Ji Zhang ⋅ Junlin Xie ⋅ Jingkuan Song ⋅ Heng Tao Shen ⋅ Lianli Gao
AsyncBEV: Cross-modal flow alignment in Asynchronous 3D Object Detection
Shiming Wang ⋅ Holger Caesar ⋅ Liangliang Nan ⋅ Julian Kooij
UrbanVerse: Scaling Urban Simulation by Watching City-Tour Videos
Mingxuan Liu ⋅ Honglin He ⋅ Elisa Ricci ⋅ Wayne Wu ⋅ Bolei Zhou
EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
Ryan Hoque ⋅ Peide Huang ⋅ David Yoon ⋅ Mouli sivapurapu ⋅ Jian Zhang
Off-Policy Safe Reinforcement Learning with Cost-Constrained Optimistic Exploration
Guopeng Li ⋅ Matthijs T. J. Spaan ⋅ Julian Kooij
Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining
Wenyao Zhang ⋅ Bozhou Zhang ⋅ Zekun Qi ⋅ Wenjun Zeng ⋅ Xin Jin ⋅ Li Zhang
When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
Xinhu Li ⋅ Ayush Jain ⋅ Zhaojing Yang ⋅ Yigit Korkmaz ⋅ Erdem Bıyık
DemoGrasp: Universal Dexterous Grasping from a Single Demonstration
Haoqi Yuan ⋅ Ziye Huang ⋅ Ye Wang ⋅ Chuan Mao ⋅ Chaoyi Xu ⋅ Zongqing Lu
DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation via Joint-Wise Neural Dynamics Model
Xueyi Liu ⋅ He Wang ⋅ Li Yi
Master Skill Learning with Policy-Grounded Synergy of LLM-based Reward Shaping and Exploring
Yanbin Chang ⋅ Junfan Lin ⋅ Jie Jiang ⋅ Runhao Zeng ⋅ Changxin Huang ⋅ Jianqiang Li
From Seeing to Experiencing: Scaling Navigation Foundation Models with Reinforcement Learning
Honglin He ⋅ Yukai Ma ⋅ Brad Squicciarini ⋅ Wayne Wu ⋅ Bolei Zhou
Online time series prediction using feature adjustment
Xiannan Huang ⋅ Shuhan Qiu ⋅ Jiayuan Du ⋅ Chao Yang
When would Vision-Proprioception Policies Fail in Robotic Manipulation?
Jingxian Lu ⋅ Wenke Xia ⋅ Yuxuan Wu ⋅ Zhiwu Lu ⋅ Di Hu
Latent-to-Data Cascaded Diffusion Models for Unconditional Time Series Generation
Lifeng Shen ⋅ Kai Syun Hou ⋅ Weiyu Chen ⋅ James Kwok
TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions
Hwijin Kim ⋅ Jaeho Kim ⋅ Changhee Lee
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
Zihao Li ⋅ Xiao Lin ⋅ Zhining Liu ⋅ Jiaru Zou ⋅ Ziwei Wu ⋅ Lecheng Zheng ⋅ Dongqi Fu ⋅ Yada Zhu ⋅ Hendrik Hamann ⋅ Hanghang Tong ⋅ Jingrui He
Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment
Shunyu Wu ⋅ Dan Li ⋅ Wenjie Feng ⋅ Haozheng Ye ⋅ Jian Lou ⋅ See-Kiong Ng
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with $0.1K$ Parameters
Aitian Ma ⋅ Dongsheng Luo ⋅ Mo Sha
EMBridge: Enhancing Gesture Generalization from EMG Signals Through Cross-modal Representation Learning
Wenhui Cui ⋅ Christopher M. Sandino ⋅ Hadi Pouransari ⋅ Ran Liu ⋅ Juri Minxha ⋅ Ellen Zippi ⋅ Erdrin Azemi ⋅ Behrooz Mahasseni
TSPulse: Tiny Pre-Trained Models with Disentangled Representations for Rapid Time-Series Analysis
Vijay Ekambaram ⋅ Subodh Kumar ⋅ Arindam Jati ⋅ Sumanta Mukherjee ⋅ Tomoya Sakai ⋅ Pankaj Dayama ⋅ Wesley Gifford ⋅ Jayant Kalagnanam
Long-range Modeling and Processing of Multimodal Event Sequences
Jichu Li ⋅ Yilun Zhong ⋅ Zhiting Li ⋅ Feng Zhou ⋅ Quyu Kong
Characteristic Root Analysis and Regularization for Linear Time Series Forecasting
Zheng Wang ⋅ Kaixuan Zhang ⋅ Wanfang Chen ⋅ Xiaonan Lu ⋅ Longyuan Li ⋅ Tobias Schlagenhauf
T1: One-to-One Channel-Head Binding for Multivariate Time-Series Imputation
Dongik Park ⋅ Hyunwoo Ryu ⋅ Suahn Bae ⋅ Keondo Park ⋅ Hyung-Sin Kim
PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series Tasks
Defu Cao ⋅ Wen Ye ⋅ Yizhou Zhang ⋅ Sam Griesemer ⋅ Yan Liu
TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
Zhiyuan Zhao ⋅ Juntong Ni ⋅ Shangqing Xu ⋅ Haoxin Liu ⋅ Wei Jin ⋅ B. Aditya Prakash
Understanding the Implicit Biases of Design Choices for Time Series Foundation Models
Annan Yu ⋅ Danielle Maddix ⋅ Boran Han ⋅ Xiyuan Zhang ⋅ Abdul Fatir Ansari ⋅ Oleksandr Shchur ⋅ Christos Faloutsos ⋅ Andrew Gordon Wilson ⋅ Michael W Mahoney ⋅ Bernie Wang
SciTS: Scientific Time Series Understanding and Generation with LLMs
Wen Wu ⋅ Ziyang Zhang ⋅ Liwei Liu ⋅ Xuenan Xu ⋅ Jimin Zhuang ⋅ Ke Fan ⋅ Qitan Lv ⋅ Junlin Liu ⋅ Chen Zhang ⋅ Zheqi Yuan ⋅ Siyuan Hou ⋅ Tianyi Lin ⋅ Kai Chen ⋅ Bowen Zhou ⋅ Chao Zhang
Numerion: A Multi-Hypercomplex Model for Time Series Forecasting
Hanzhong Cao ⋅ WenBo Yan ⋅ Ying Tan
Learning linear state-space models with sparse system matrices
Yasen Wang ⋅ Kaiqi Fang ⋅ Guijun Ma ⋅ Junlin Li ⋅ Mengyu Sun ⋅ Zhilan Huang ⋅ Gang Lu
Seq vs Seq: An Open Suite of Paired Encoders and Decoders
Orion Weller ⋅ Kathryn Ricci ⋅ Marc Marone ⋅ Antoine Chaffin ⋅ Dawn Lawrie ⋅ Ben Van Durme
MAPSS: Manifold-based Assessment of Perceptual Source Separation
Amir Ivry ⋅ Samuele Cornell ⋅ Shinji Watanabe
Estimating Semantic Alphabet Size for LLM Uncertainty Quantification
Lucas McCabe ⋅ Rimon Melamed ⋅ Tom Hartvigsen ⋅ H Howie Huang
TrimR: Verifier-based Training-Free Thinking Trimming for Efficient Test-Time Scaling
Weizhe Lin ⋅ Xing Li ⋅ Zhiyuan Yang ⋅ Xiaojin Fu ⋅ Huiling Zhen ⋅ Yaoyuan Wang ⋅ Xianzhi Yu ⋅ Wulong Liu ⋅ Xiaosong Li ⋅ Mingxuan Yuan
FrugalRAG: Less is More in RL Finetuning for Multi-hop Question Answering
Abhinav Java ⋅ Srivathsan Koundinyan ⋅ Nagarajan Natarajan ⋅ Amit Sharma
R4: Nested Reasoning-Retrieval for Reward Modeling in Role-Playing Agents
Renzhi Wang ⋅ Chongqiang Wei ⋅ Zhisheng Wang ⋅ Piji Li
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning
Kai Xiong ⋅ Xiao Ding ⋅ Yixin Cao ⋅ Li Du ⋅ jiahao ying ⋅ yang zhao ⋅ Bing Qin ⋅ Ting Liu
Transducing Language Models
Vésteinn Snæbjarnarson ⋅ Samuel Kiegeland ⋅ Tianyu Liu ⋅ Reda Boumasmoud ⋅ Ryan Cotterell ⋅ Tim Vieira
Calibrating Verbalized Confidence with Self-Generated Distractors
Victor Wang ⋅ Elias Stengel-Eskin
CLARC: C/C++ Benchmark for Robust Code Search
Kaicheng Wang ⋅ Liyan Huang ⋅ Weike Fang ⋅ Weihang Wang
Learning Hierarchical and Geometry-Aware Graph Representations for Text-to-CAD
Shengjie Gong ⋅ Wenjie Peng ⋅ Hongyuan Chen ⋅ Gangyu Zhang ⋅ Yunqing Hu ⋅ Huiyuan Zhang ⋅ Shuangping Huang ⋅ Tianshui Chen
LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
Luyao Zhuang ⋅ Shengyuan Chen ⋅ Yilin Xiao ⋅ Huachi Zhou ⋅ Yujing Zhang ⋅ Hao Chen ⋅ Qinggang Zhang ⋅ Xiao Huang
When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling
Heecheol Yun ⋅ Kwangmin Ki ⋅ Jung Hyun Lee ⋅ Eunho Yang
Verification and Co-Alignment via Heterogeneous Consistency for Preference-Aligned LLM Annotations
cheng chen ⋅ Haiyan Yin ⋅ Ivor Tsang
ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
Siru Ouyang ⋅ Jun Yan ⋅ I-Hung Hsu ⋅ Yanfei Chen ⋅ Ke Jiang ⋅ Zifeng Wang ⋅ Rujun Han ⋅ Long Le ⋅ Samira Daruki ⋅ Xiangru Tang ⋅ Vishy Tirumalashetty ⋅ George Lee ⋅ Mahsan Rofouei ⋅ Hangfei Lin ⋅ Jiawei Han ⋅ Chen-Yu Lee ⋅ Tomas Pfister
RE-PO: Robust Enhanced Policy Optimization as a General Framework for LLM Alignment
Xiaoyang Cao ⋅ Zelai Xu ⋅ Mo Guang ⋅ Kaiwen Long ⋅ Michiel Bakker ⋅ Yu Wang ⋅ Chao Yu
Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning
Qihao Liu ⋅ Luoxin Ye ⋅ Wufei Ma ⋅ Yu-Cheng Chou ⋅ Alan Yuille
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs
Yuling Gu ⋅ Oyvind Tafjord ⋅ Hyunwoo Kim ⋅ Jared Moore ⋅ Ronan Le Bras ⋅ Peter Clark ⋅ Yejin Choi
Measuring LLM Novelty As The Frontier Of Original And High-Quality Output
Vishakh Padmakumar ⋅ Chen Yueh-Han ⋅ Jane Pan ⋅ Valerie Chen ⋅ He He
MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs
Zhenyan Lu ⋅ Daliang Xu ⋅ Dongqi Cai ⋅ Zexi Li ⋅ WEI LIU ⋅ Jian Luan ⋅ Fangming Liu ⋅ Shangguang Wang ⋅ Mengwei Xu
On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization
Janvijay Singh ⋅ Austin Xu ⋅ Yilun Zhou ⋅ Yefan Zhou ⋅ Dilek Hakkani-Tür ⋅ Shafiq Joty
Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
Yingyi Zhang ⋅ Junyi Li ⋅ Wenlin Zhang ⋅ Pengyue Jia ⋅ Xianneng Li ⋅ Yichao Wang ⋅ Derong Xu ⋅ Yi Wen ⋅ Huifeng Guo ⋅ Yong Liu ⋅ Xiangyu Zhao
SpeechOp: Inference-Time Task Composition for Generative Speech Processing
Justin Lovelace ⋅ Rithesh Kumar ⋅ Jiaqi Su ⋅ Ke Chen ⋅ Kilian Weinberger ⋅ Zeyu Jin
Closing the Gap Between Text and Speech Understanding in LLMs
Santiago Cuervo ⋅ Skyler Seto ⋅ Maureen de Seyssel ⋅ Richard Bai ⋅ Zijin Gu ⋅ Tatiana Likhomanenko ⋅ Navdeep Jaitly ⋅ Zakaria Aldeneh
Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond
Dingzirui Wang ⋅ Xuanliang Zhang ⋅ Keyan Xu ⋅ Qingfu Zhu ⋅ Wanxiang Che ⋅ Yang Deng
Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
Seongwoong Shim ⋅ Myunsoo Kim ⋅ Jae Cho ⋅ Byung-Jun Lee
GradPruner: Gradient-guided Layer Pruning Enabling Efficient Fine-Tuning and Inference for LLMs
Wei Huang ⋅ Anda Cheng ⋅ Yinggui Wang
AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL
Zhiheng Xi ⋅ Jixuan Huang ⋅ Chenyang Liao ⋅ Baodai Huang ⋅ Jiaqi Liu ⋅ Honglin Guo ⋅ yajie yang ⋅ Rui Zheng ⋅ Junjie Ye ⋅ Jiazheng Zhang ⋅ Wenxiang Chen ⋅ Wei He ⋅ Yiwen Ding ⋅ Guanyu Li ⋅ Zehui Chen ⋅ Zhengyin Du ⋅ Xuesong Yao ⋅ Yufei Xu ⋅ Jiecao Chen ⋅ Tao Gui ⋅ Zuxuan Wu ⋅ Qi Zhang ⋅ Xuanjing Huang ⋅ Yu-Gang Jiang
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection
Sanghyu Yoon ⋅ Dongmin Kim ⋅ Suhee Yoon ⋅ YE SEUL SIM ⋅ Seungdong YOA ⋅ Hye-Seung Cho ⋅ Soonyoung Lee ⋅ Hankook Lee ⋅ Woohyung Lim
UALM: Unified Audio Language Model for Understanding, Generation and Reasoning
Jinchuan Tian ⋅ Sang-gil Lee ⋅ Zhifeng Kong ⋅ Sreyan Ghosh ⋅ Arushi Goel ⋅ Chao-Han Huck Yang ⋅ Wenliang Dai ⋅ Zihan Liu ⋅ Hanrong Ye ⋅ Shinji Watanabe ⋅ Mohammad Shoeybi ⋅ Bryan Catanzaro ⋅ Rafael Valle ⋅ Wei Ping
STAR-Bench: Probing Deep Spatio-Temporal Reasoning as Audio 4D Intelligence
Zihan Liu ⋅ Zhikang Niu ⋅ Qiuyang Xiao ⋅ Zhisheng Zheng ⋅ Ruoqi Yuan ⋅ Yuhang Zang ⋅ Yuhang Cao ⋅ Xiaoyi Dong ⋅ Jianze Liang ⋅ Xie Chen ⋅ Leilei Sun ⋅ Dahua Lin ⋅ Jiaqi Wang
FictionalQA: A Dataset for Studying Memorization and Knowledge Acquisition
John Kirchenbauer ⋅ Natjanan Mongkolsupawan ⋅ Yuxin Wen ⋅ Tom Goldstein ⋅ Daphne Ippolito
mR3: Multilingual Rubric-Agnostic Reward Reasoning Models
David Anugraha ⋅ Shou-Yi Hung ⋅ Zilu Tang ⋅ En-Shiun Annie Lee ⋅ Derry Wijaya ⋅ Genta Winata
DMAP: A Distribution Map for Text
Tom Kempton ⋅ Julia Rozanova ⋅ Parameswaran Kamalaruban ⋅ Maeve Madigan ⋅ Karolina Wresilo ⋅ Yoann Launay ⋅ David Sutton ⋅ Stuart Burrell
A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
Joseph Cotnareanu ⋅ Didier Chételat ⋅ Yingxue Zhang ⋅ Mark Coates
WearVox: An Egocentric Multichannel Voice Assistant Benchmark for Wearables
Zhaojiang Lin ⋅ YONG XU ⋅ Kai Sun ⋅ Jing Zheng ⋅ Yin Huang ⋅ Surya Appini ⋅ Krish Narang ⋅ Renjie Tao ⋅ Ishan Jain ⋅ Siddhant Arora ⋅ Ruizhi Li ⋅ Yiteng Huang ⋅ Kaushik Patnaik ⋅ Wenfang Xu ⋅ Suwon Shon ⋅ Yue Liu ⋅ Ahmed Aly ⋅ Anuj Kumar ⋅ Florian Metze ⋅ Xin Dong
DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence
Pranav Narayanan Venkit ⋅ Philippe Laban ⋅ Yilun Zhou ⋅ Kung-Hsiang Huang ⋅ Yixin Mao ⋅ Chien-Sheng Wu
Generalizable End-to-End Tool-Use RL with Synthetic CodeGym
Weihua Du ⋅ HaileiGong ⋅ Zhan Ling ⋅ Kang Liu ⋅ Lingfeng Shen ⋅ Xuesong Yao ⋅ Yufei Xu ⋅ Dingyuan Shi ⋅ Yiming Yang ⋅ Jiecao Chen
WideSearch: Benchmarking Agentic Broad Info-Seeking
Ryan Wong ⋅ Jiawei Wang ⋅ Junjie zhao ⋅ Li Chen ⋅ Yan Gao ⋅ Zhanglong ⋅ Xuan Zhou ⋅ Zuo Wang ⋅ Kai Xiang ⋅ Ge Zhang ⋅ Wenhao Huang ⋅ YANG WANG ⋅ Ke Wang
MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks
Sara Papi ⋅ Maike Züfle ⋅ Marco Gaido ⋅ Beatrice Savoldi ⋅ Danni Liu ⋅ Ioannis Douros ⋅ Luisa Bentivogli ⋅ Jan Niehues
VowelPrompt: Hearing Speech Emotions from Text via Vowel-level Prosodic Augmentation
Yancheng Wang ⋅ Osama Hanna ⋅ Ruiming Xie ⋅ Xianfeng Rui ⋅ Maohao Shen ⋅ Xuedong Zhang ⋅ Christian Fuegen ⋅ Jilong Wu ⋅ Debjyoti Paul ⋅ Arthur Guo ⋅ Zhihong Lei ⋅ Ozlem Kalinli ⋅ Qing He ⋅ Yingzhen Yang
RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards
Zhilin Wang ⋅ Jiaqi Zeng ⋅ Olivier Delalleau ⋅ Ellie Evans ⋅ Daniel Egert ⋅ Hoo-Chang Shin ⋅ Felipe Soares ⋅ Yi Dong ⋅ Oleksii Kuchaiev
LLM2Fx-Tools: Tool Calling for Music Post-Production
SeungHeon Doh ⋅ Junghyun (Tony) Koo ⋅ Marco Martínez-Ramírez ⋅ Woosung Choi ⋅ WeiHsiang Liao ⋅ Qiyu Wu ⋅ Juhan Nam ⋅ Yuki Mitsufuji
COMI: Coarse-to-fine Context Compression via Marginal Information Gain
Jiwei Tang ⋅ Shilei Liu ⋅ ZHICHENG ZHANG ⋅ Yujin Yuan ⋅ Libin Zheng ⋅ wenbo su ⋅ Bo Zheng
PerFit: Exploring Personalization Shifts in Representation Space of LLMs
Jiahong Liu ⋅ Wenhao Yu ⋅ Quanyu Dai ⋅ Zhongyang Li ⋅ Jieming Zhu ⋅ Menglin Yang ⋅ Tat-Seng Chua ⋅ Irwin King
ROGA: Scaling Generalist Agents for Office Productivity Tasks via Tool Generation
Mugeng Liu ⋅ Xiaojun Ma ⋅ Yuhang Xie ⋅ Qin Chen ⋅ Xuanzhe Liu ⋅ Yun Ma
Mode-conditioning unlocks superior test-time compute scaling
Chen Wu ⋅ Sachin Goyal ⋅ Aditi Raghunathan
BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, and Rerankers
Ilias Aarab
PixelCraft: A Multi-Agent system for High-Fidelity Visual Reasoning on Structured Images
Shuoshuo Zhang ⋅ Zijian Li ⋅ Yizhen Zhang ⋅ Jingjing Fu ⋅ Lei Song ⋅ Jiang Bian ⋅ Jun Zhang ⋅ Yujiu Yang ⋅ Rui Wang
EmoPrefer: Can Large Language Models Understand Human Emotion Preferences?
Zheng Lian ⋅ Licai Sun ⋅ Lan Chen ⋅ Haoyu Chen ⋅ Zebang Cheng ⋅ Fan Zhang ⋅ Ziyu Jia ⋅ Ziyang Ma ⋅ Fei Ma ⋅ Xiaojiang Peng ⋅ Jianhua Tao
Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling
Shengyin Sun ⋅ Yiming Li ⋅ Xing Li ⋅ Yingzhao Lian ⋅ Weizhe Lin ⋅ Huiling Zhen ⋅ Zhiyuan Yang ⋅ Xianzhi Yu ⋅ Chen Chen ⋅ Mingxuan Yuan ⋅ Chen Ma
Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
Yukun Huang ⋅ Sanxing Chen ⋅ Jian Pei ⋅ Manzil Zaheer ⋅ Bhuwan Dhingra
Dual-objective Language Models: Training Efficiency Without Overfitting
David Samuel ⋅ Lucas Charpentier
Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis
Junyan Cheng ⋅ Kyle Richardson ⋅ Peter Chin
From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning
Seungdong YOA ⋅ Sanghyu Yoon ⋅ Suhee Yoon ⋅ Dongmin Kim ⋅ YE SEUL SIM ⋅ Junhyun Lee ⋅ Woohyung Lim
Enhancing LLMs for Knowledge Base Question Answering by Chain-of-Decomposition
Yonggang Zhang ⋅ Jianqi Gao ⋅ Jie Lu
ReIn: Conversational Error Recovery with Reasoning Inception
Takyoung Kim ⋅ Jinseok Nam ⋅ Chandrayee Basu ⋅ Xing Fan ⋅ Chengyuan Ma ⋅ Heng Ji ⋅ Gokhan Tur ⋅ Dilek Hakkani-Tür
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Minju Seo ⋅ Jinheon Baek ⋅ Seongyun Lee ⋅ Sung Ju Hwang
Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
Hong Wang ⋅ Jie Wang ⋅ Jian Luo ⋅ huanshuo dong ⋅ Yeqiu Chen ⋅ Runmin Jiang ⋅ Zhen Huang
Diverse Text Decoding via Iterative Reweighting
Ruiqi Shi ⋅ Sinno Jialin Pan
CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
Daniel Kaiser ⋅ Arnoldo Frigessi ⋅ Ali Ramezani-Kebrya ⋅ Benjamin Ricaud
Coupled Transformer Autoencoder for Disentangling Multi-Region Neural Latent Dynamics
Ram Dyuthi Sristi ⋅ Sowmya Narasimha ⋅ Jingya Huang ⋅ Alice Despatin ⋅ Simon Musall ⋅ Vikash Gilja ⋅ Gal Mishne
CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model
Jingying Ma ⋅ Feng Wu ⋅ QIKA LIN ⋅ Yucheng Xing ⋅ Chenyu Liu ⋅ Ziyu Jia ⋅ Mengling Feng
A Biologically Plausible Dense Associative Memory with Exponential Capacity
Mohadeseh Shafiei Kafraj ⋅ Dmitry Krotov ⋅ Peter Latham
Disentangling the Factors of Convergence between Brains and DINOv3
Joséphine Raugel ⋅ Marc Szafraniec ⋅ Huy Vo ⋅ camille couprie ⋅ Jérémy Rapin ⋅ Stéphane d'Ascoli ⋅ Patrick Labatut ⋅ Piotr Bojanowski ⋅ Valentin Wyart ⋅ Jean-Remi King
Neural Synchrony Between Socially Interacting Language Models
Zhining Zhang ⋅ Wentao Zhu ⋅ Chi Han ⋅ Yizhou Wang ⋅ Heng Ji
TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex
Balázs Meszéna ⋅ Keith Murray ⋅ Julien Corbo ⋅ Batuhan Erkat ⋅ Márton Hajnal ⋅ Pierre-Olivier Polack ⋅ Gergo Orban
Pretraining with Re-parametrized Self-Attention: Unlocking Generalizationin SNN-Based Neural Decoding Across Time, Brains, and Tasks
Yuqi Yang ⋅ Tengjun Liu ⋅ Haiyan Zhang ⋅ Wang Ruixue ⋅ Xuchao Chen ⋅ Mingkang Li ⋅ Yansong Chua ⋅ Nenggan Zheng ⋅ Shaomin Zhang
Bound by semanticity: universal laws governing the generalization-identification tradeoff
Marco Nurisso ⋅ Jesseba Fernando ⋅ Raj Deshpande ⋅ Alan Perotti ⋅ Raja Marjieh ⋅ Steven Frankland ⋅ Richard Lewis ⋅ Taylor Webb ⋅ Declan Campbell ⋅ Francesco Vaccarino ⋅ Jonathan Cohen ⋅ Giovanni Petri
Many Eyes, One Mind: Temporal Multi-Perspective and Progressive Distillation for Spiking Neural Networks
Kai Sun ⋅ Peibo Duan ⋅ Yongsheng Huang ⋅ Nanxu Gong ⋅ Levin Kuhlmann
When Language Models Lose Their Mind: The Consequences of Brain Misalignment
Gabriele Merlin ⋅ Mariya Toneva
From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers
Yi-Fei Liu ⋅ Yi-Long Lu ⋅ Di He ⋅ Hang Zhang
Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People
Gabriel Grand ⋅ Valerio Pepe ⋅ Joshua B Tenenbaum ⋅ Jacob Andreas
Assembling the Mind's Mosaic: Towards EEG Semantic Intent Decoding
Jiahe Li ⋅ Junru Chen ⋅ Fanqi Shen ⋅ Jialan Yang ⋅ Jada Li ⋅ Zhizhang Yuan ⋅ Baowen Cheng ⋅ Li Meng ⋅ Yang Yang
Spiking Discrepancy Transformer for Point Cloud Analysis
Yijie Lu ⋅ Zhiyi Pan ⋅ Renrui Zhang ⋅ Yanhao Jia ⋅ Ronggang Wang ⋅ Zhaokun Zhou
Advancing Spatiotemporal Representations in Spiking Neural Networks via Parametric Invertible Transformation
Yinsong Yan ⋅ Yujie Wu ⋅ Jibin Wu
AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration
Binqi Chen ⋅ Hongjun Ding ⋅ Ning Shen ⋅ Taian Guo ⋅ Jinsheng Huang ⋅ Luchen Liu ⋅ Ming Zhang
Robust Equation Structure Learning with Adaptive Refinement
Yunlun Li ⋅ Sinno Jialin Pan
Local Success Does Not Compose: Benchmarking Large Language Models for Compositional Formal Verification
Xu Xu ⋅ Xin Li ⋅ Xingwei Qu ⋅ Jie Fu ⋅ Binhang Yuan
Urban Socio-Semantic Segmentation with Vision-Language Reasoning
Yu Wang ⋅ Yi Wang ⋅ Rui Dai ⋅ Yujie Wang ⋅ Kaikui Liu ⋅ Xiangxiang Chu ⋅ Yansheng Li
MetaMuse: Algorithm Generation via Creative Ideation
Ruiying Ma ⋅ Chieh-Jan Mike Liang ⋅ Yanjie Gao ⋅ Francis Yan
CrossPL: Systematic Evaluation of Large Language Models for Cross Programming Language Interoperating Code Generation
Zhanhang Xiong ⋅ Dongxia Wang ⋅ Yuekang Li ⋅ Xinyuan An ⋅ Wenhai Wang
HackWorld: Evaluating Computer-Use Agents on Exploiting Web Application Vulnerabilities
Xiaoxue Ren ⋅ Penghao Jiang ⋅ Kaixin Li ⋅ Zhiyong Huang ⋅ Xiaoning Du ⋅ Jiaojiao Jiang ⋅ Zhenchang Xing ⋅ Jiamou Sun ⋅ Terry Yue Zhuo
Towards Faithful Reasoning in Remote Sensing: A Perceptually-Grounded GeoSpatial Chain-of-Thought for Vision-Language Models
Jiaqi Liu ⋅ Lang Sun ⋅ Ronghao Fu ⋅ Bo Yang
Visual Compositional Tuning
Xindi Wu ⋅ Hee Seung Hwang ⋅ Polina Kirichenko ⋅ Esin Tureci ⋅ Olga Russakovsky
Discrete Diffusion for Bundle Construction
Teng Tu ⋅ Ai Li ⋅ Yunshan Ma ⋅ Shuo Xu ⋅ Xiaohao Liu ⋅ Haokai Ma ⋅ Liang Pang ⋅ Tat-Seng Chua
SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports
Haotian Xia ⋅ Haonan Ge ⋅ Junbo Zou ⋅ Hyun Choi ⋅ Xuebin Zhang ⋅ Danny Suradja ⋅ Botao Rui ⋅ Ethan Tran ⋅ Wendy Jin ⋅ Zhen Ye ⋅ Xiyang Lin ⋅ Christopher Lai ⋅ Shengjie Zhang ⋅ Junwen Miao ⋅ Shichao Chen ⋅ Rhys Tracy ⋅ Vicente Ordonez ⋅ Weining Shen ⋅ Hanjie Chen
EvolProver: Advancing Automated theorem proving by Evolving Formalized Problems via Symmetry and Difficulty
Yuchen Tian ⋅ Ruiyuan Huang ⋅ Xuanwu WANG ⋅ Jing Ma ⋅ Zengfeng Huang ⋅ Ziyang Luo ⋅ Hongzhan Lin ⋅ Da Zheng ⋅ Lun Du
HiVid: LLM-Guided Video Saliency For Content-Aware VOD And Live Streaming
Jiahui Chen ⋅ Bo Peng ⋅ Lianchen Jia ⋅ Zeyu Zhang ⋅ Tianchi Huang ⋅ Lifeng Sun
Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task?
Zijian Zhao ⋅ Dian Jin ⋅ Zijing Zhou ⋅ Xiaoyu Zhang
LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery
Nikhil Abhyankar ⋅ sanchit kabra ⋅ Saaketh Desai ⋅ Chandan Reddy
OSIRIS: Bridging Analog Circuit Design and Machine Learning with Scalable Dataset Generation
Giuseppe Chiari ⋅ Michele Piccoli ⋅ Davide Zoni
Neural Theorem Proving for Verification Conditions: A Real-World Benchmark
Qiyuan Xu ⋅ Xiaokun Luan ⋅ Renxi Wang ⋅ Joshua Leang ⋅ Peixin Wang ⋅ Haonan Li ⋅ Wenda Li ⋅ Conrad Watt
Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages
Maria Ivanova ⋅ Pavel Zadorozhny ⋅ Rodion Levichev ⋅ Ivan Petrov ⋅ Adamenko Pavel ⋅ Ivan Lopatin ⋅ Alexey Kutalev ⋅ Dmitrii Babaev
Aurelius: Relation Aware Text-to-Audio Generation At Scale
Yuhang He ⋅ He Liang ⋅ Yash Jain ⋅ Andrew Markham ⋅ Vibhav Vineet
Error Notebook-Guided, Training-Free Part Retrieval in 3D CAD Assemblies via Vision-Language Models
Yunqing Liu ⋅ Nan Zhang ⋅ Zhiming Tan
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization
Chaohu Liu ⋅ Gui Tianyi ⋅ Yu Liu ⋅ Linli Xu
Improving Code Localization with Repository Memory
Boshi Wang ⋅ Weijian Xu ⋅ Yunsheng Li ⋅ Xuemei Gao ⋅ Yujia Xie ⋅ Huan Sun ⋅ Dongdong Chen
HATSolver: Learning Gröbner Bases with Hierarchical Attention Transformers
Mohamed Malhou ⋅ Ludovic Perret ⋅ Kristin Lauter
WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning
Haojin Yang ⋅ Rui Hu ⋅ Zequn Sun ⋅ Rui Zhou ⋅ Yujun Cai ⋅ Yiwei Wang
FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels
Jiedong Jiang ⋅ Wanyi He ⋅ Wang Yuefeng ⋅ Guoxiong Gao ⋅ Yongle Hu ⋅ Jingting Wang ⋅ Nailin Guan ⋅ Peihao Wu ⋅ Bryan Dai ⋅ Liang Xiao ⋅ Bin Dong
Bridging Piano Transcription and Rendering via Disentangled Score Content and Style
Wei Zeng ⋅ JUNCHUAN ZHAO ⋅ Ye Wang
Automated Formalization via Conceptual Retrieval-Augmented LLMs
Wangyue Lu ⋅ Lun Du ⋅ Sirui Li ⋅ Ke Weng ⋅ Haozhe Sun ⋅ Hengyu Liu ⋅ Minghe Yu ⋅ Tiancheng Zhang ⋅ Ge Yu
Learning More with Less: A Dynamic Dual-Level Down-Sampling Framework for Efficient Policy Optimization
Chao Wang ⋅ Tao Yang ⋅ Hongtao Tian ⋅ Yunsheng Shi ⋅ Qiyao Ma ⋅ XiaotaoLiu ⋅ Ting Yao ⋅ Wenbo Ding
Critical Confabulation: Can LLMs Hallucinate for Social Good?
Peiqi Sui ⋅ Eamon Duede ⋅ Hoyt Long ⋅ Richard So
How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use
Minhua Lin ⋅ Enyan Dai ⋅ Hui Liu ⋅ Xianfeng Tang ⋅ Yuliang Yan ⋅ Zhenwei Dai ⋅ Jingying Zeng ⋅ Zhiwei Zhang ⋅ Fali Wang ⋅ Hongcheng Gao ⋅ Chen Luo ⋅ Xiang Zhang ⋅ Qi He ⋅ Suhang Wang
The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think
Seongyun Lee ⋅ Seungone Kim ⋅ Minju Seo ⋅ Yongrae Jo ⋅ Dongyoung Go ⋅ Hyeonbin Hwang ⋅ Jinho Park ⋅ Xiang Yue ⋅ Sean Welleck ⋅ Graham Neubig ⋅ Moontae Lee ⋅ Minjoon Seo
Any-Order Flexible Length Masked Diffusion
Jaeyeon Kim ⋅ Lee Kit ⋅ Carles Domingo i Enrich ⋅ Yilun Du ⋅ Sham Kakade ⋅ Timothy Ngotiaoco ⋅ Sitan Chen ⋅ Michael Albergo
Kimi-Dev: Agentless Training as Skill Prior for SWE-agents
Zonghan Yang ⋅ Shengjie Wang ⋅ Kelin Fu ⋅ Wenyang He ⋅ Weimin Xiong ⋅ Yibo Liu ⋅ Yibo Miao ⋅ Bofei Gao ⋅ Yejie Wang ⋅ ma yingwei ⋅ Yanhao Li ⋅ Yue Liu ⋅ Zhenxing Hu ⋅ kaitai zhang ⋅ Shuyi Wang ⋅ Huarong Chen ⋅ Hongyong Song ⋅ Yang Liu ⋅ Yang Gao ⋅ Zhilin Yang ⋅ Tianyu Liu
FedMC: Federated Manifold Calibration
Yanbiao Ma ⋅ Wei Dai ⋅ Gaoyang Jiang ⋅ wanyi Chen ⋅ Chenyue Zhou ⋅ Yiwei Zhang ⋅ Fei Luo ⋅ Junhao Wang ⋅ Andi Zhang
Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset
Rabeeh Karimi Mahabadi ⋅ Sanjeev Satheesh ⋅ Shrimai Prabhumoye ⋅ Mostofa Patwary ⋅ Mohammad Shoeybi ⋅ Bryan Catanzaro
DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage
Haowen Gao ⋅ zhenyu zhang ⋅ Liang Pang ⋅ Fangda Guo ⋅ hongjian dou ⋅ Guannan Lv ⋅ ShaoGuo Liu ⋅ Tingting Gao ⋅ Huawei Shen ⋅ Xueqi Cheng
Partial Soft-Matching Distance For Neural Representational Comparison With Partial Unit Correspondence
Chaitanya Kapoor ⋅ Alex Williams ⋅ Meenakshi Khosla
Neyman-Pearson Classification under Both Null and Alternative Distributions Shift
Mohammadreza Mousavi Kalan ⋅ Yuyang Deng ⋅ Eitan J. Neugut ⋅ Samory Kpotufe
EasyCreator: Empowering 4D Creation through Video Inpainting
Yue Ma ⋅ Kunyu Feng ⋅ Xinhua Zhang ⋅ Hongyu Liu ⋅ David Junhao Zhang ⋅ Jinbo Xing ⋅ Yinhan Zhang ⋅ Xiangpeng Yang ⋅ Xinyu Wang ⋅ Zeyu Wang ⋅ Qifeng Chen
OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
Konstantin F. Willeke ⋅ Polina Turishcheva ⋅ Alex Gilbert ⋅ Goirik Chakrabarty ⋅ Hasan Bedel ⋅ Paul Fahey ⋅ Yongrong Qiu ⋅ Marissa Weis ⋅ Michaela Vystrčilová ⋅ Taliah Muhammad ⋅ Lydia Ntanavara ⋅ Rachel Froebe ⋅ Kayla Ponder ⋅ Zheng Huan Tan ⋅ Emin Orhan ⋅ Erick M Cobos ⋅ Sophia Sanborn ⋅ Katrin Franke ⋅ Fabian Sinz ⋅ Alexander S Ecker ⋅ Andreas Tolias
On the Thinking-Language Modeling Gap in Large Language Models
Chenxi Liu ⋅ Yongqiang Chen ⋅ Tongliang Liu ⋅ James Cheng ⋅ Bo Han ⋅ Kun Zhang
SAFER: Risk-Constrained Sample-then-Filter in Large Language Models
Qingni Wang ⋅ Yue Fan ⋅ Xin Wang
Guaranteed Simply Connected Mesh Reconstruction from an Unorganized Point Cloud
Liyan Chen ⋅ Jingyi Li ⋅ Qixing Huang
Adaptive Domain Shift in Diffusion Models for Cross-Modality Image Translation
Zihao WANG ⋅ Yuzhou Chen ⋅ Shaogang Ren
dParallel: Learnable Parallel Decoding for dLLMs
Zigeng Chen ⋅ Gongfan Fang ⋅ Xinyin Ma ⋅ Ruonan Yu ⋅ Xinchao Wang
SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain Adaptation
Ruiyi Fang ⋅ Jingyu Zhao ⋅ Shuo Wang ⋅ Ruizhi Pu ⋅ Bingheng Li ⋅ Jiale Cai ⋅ Zhihao Li ⋅ Zihao Jing ⋅ Jian Zhu ⋅ Song Tang ⋅ Charles Ling ⋅ Boyu Wang
Geometry-aware Policy Imitation
Yiming Li ⋅ Nael Darwiche ⋅ Amirreza Razmjoo ⋅ Sichao Liu ⋅ Yilun Du ⋅ Auke Ijspeert ⋅ Sylvain Calinon
Expressiveness of Multi-Neuron Convex Relaxations in Neural Network Certification
Yuhao Mao ⋅ Yani Zhang ⋅ Martin Vechev
In-Place Test-Time Training
Guhao Feng ⋅ Shengjie Luo ⋅ Kai Hua ⋅ Ge Zhang ⋅ Wenhao Huang ⋅ Di He ⋅ Tianle Cai
Sparse Attention Adaptation for Long Reasoning
Yizhao Gao ⋅ Shuming Guo ⋅ Shijie Cao ⋅ Yuqing Xia ⋅ Yu Cheng ⋅ Lei Wang ⋅ Lingxiao Ma ⋅ Yutao Sun ⋅ Tianzhu Ye ⋅ Li Dong ⋅ Hayden So ⋅ Yu Hua ⋅ Ting Cao ⋅ Fan Yang ⋅ Mao Yang
Scheduling Your LLM Reinforcement Learning with Reasoning Trees
Hong Wang ⋅ Zhezheng Hao ⋅ Jian Luo ⋅ Chenxing Wei ⋅ Yao Shu ⋅ Lei Liu ⋅ Qiang Lin ⋅ Hande Dong ⋅ Jiawei Chen
ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL Problems
Egor Cherepanov ⋅ Alexey Kovalev ⋅ Aleksandr Panov
ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows
Qiushi Sun ⋅ Zhoumianze Liu ⋅ Chang Ma ⋅ Zichen Ding ⋅ Fangzhi Xu ⋅ Zhangyue Yin ⋅ Haiteng Zhao ⋅ Zhenyu Wu ⋅ Kanzhi Cheng ⋅ Zhaoyang Liu ⋅ Jianing Wang ⋅ Qintong Li ⋅ Xiangru Tang ⋅ Tianbao Xie ⋅ Xiachong Feng ⋅ Xiang Li ⋅ Ben Kao ⋅ Wenhai Wang ⋅ Biqing Qi ⋅ Lingpeng Kong ⋅ Zhiyong Wu
InfoScan: Information-Efficient Visual Scanning via Resource-Adaptive Walks
Yifeng Wu ⋅ Huimin Huang ⋅ Shangjie Zhou ⋅ Yawen Huang ⋅ Hao Zheng ⋅ Yun Chen ⋅ Xian Wu ⋅ Ruize Han ⋅ Guanhua Chen
OFMU: OPTIMIZATION-DRIVEN FRAMEWORK FOR MACHINE UNLEARNING
Sadia Asif ⋅ Mohammad Mohammadi Amiri
EA3D: Event-Augmented 3D Diffusion for Generalizable Novel View Synthesis
Wangbo Yu ⋅ Chaoran Feng ⋅ Jianing Li ⋅ Aofan Zhang ⋅ Zhenyu Tang ⋅ Mingyi Guo ⋅ Wei Zhang ⋅ Zhengyu Ma ⋅ Li Yuan ⋅ Yonghong Tian
Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
Chang Huang ⋅ Shatong Zhu ⋅ Junqiao Zhao ⋅ Hongtu Zhou ⋅ Hai Zhang ⋅ Di Zhang ⋅ Chen Ye ⋅ Ziqiao Wang ⋅ Guang Chen
QKV Projections Require a Fraction of Their Memory
Malik Khalaf ⋅ Yara Shamshoum ⋅ Nitzan Hodos ⋅ Yuval Sieradzki ⋅ Assaf Schuster
SpikeGen: Decoupled “Rods and Cones” Visual Representation Processing with Latent Generative Framework
Gaole Dai ⋅ Menghang Dong ⋅ Rongyu Zhang ⋅ Ruichuan An ⋅ Tiejun Huang ⋅ Shanghang Zhang
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
Wenxuan Huang ⋅ Bohan Jia ⋅ Shaosheng Cao ⋅ Zheyu Ye ⋅ Fei zhao ⋅ Zhe Xu ⋅ Yao Hu ⋅ Shaohui Lin
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
Baolong Bi ⋅ Shenghua Liu ⋅ Yiwei Wang ⋅ Yilong Xu ⋅ Junfeng Fang ⋅ Lingrui Mei ⋅ Xueqi Cheng
Math Blind: Failures in Diagram Understanding Undermine Reasoning in MLLMs
Yanpeng Sun ⋅ Shan Zhang ⋅ Wei Tang ⋅ Aotian Chen ⋅ Piotr Koniusz ⋅ Kai Zou ⋅ Yuan Xue ⋅ Anton Hengel
Buffer Matters: Unleashing the Power of Off-Policy Reinforcement Learning in Large Language Model Reasoning
Xu Wan ⋅ Yansheng Wang ⋅ Wenqi Huang ⋅ Mingyang Sun
La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
Tomas Geffner ⋅ Kieran Didi ⋅ Zhonglin Cao ⋅ Danny Reidenbach ⋅ Zuobai Zhang ⋅ Christian Dallago ⋅ Emine Kucukbenli ⋅ Karsten Kreis ⋅ Arash Vahdat
Unlocking the Power of Co-Occurrence in CLIP: A DualPrompt-Driven Method for Training-Free Zero-Shot Multi-Label Classification
Ming-Kun Xie ⋅ Zhiqiang Kou ⋅ Zhongnian Li ⋅ Gang Niu ⋅ Masashi Sugiyama
TSLM: Tree-Structured Language Modeling for Divergent Thinking
Doyoung Kim ⋅ JaeHyeok Doo ⋅ Minjoon Seo
CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific Reasoning
Kehua Feng ⋅ Keyan Ding ⋅ Zhihui Zhu ⋅ Lei Liang ⋅ Qiang Zhang ⋅ Huajun Chen
DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning
Chengxuan Qian ⋅ Shuo Xing ⋅ Li Li ⋅ Yue Zhao ⋅ Zhengzhong Tu
Multi-Synaptic Cooperation: A Bio-Inspired Framework for Robust and Scalable Continual Learning
Penghui Li ⋅ Zhuang Ma ⋅ Yunliang Zang ⋅ Qiang YU
P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark
Tao Sun ⋅ Enhao Pan ⋅ Zhengkai Yang ⋅ Kaixin Sui ⋅ Jiajun Shi ⋅ Xianfu Cheng ⋅ Tongliang Li ⋅ Ge Zhang ⋅ Wenhao Huang ⋅ Jian Yang ⋅ Zhoujun Li
MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains
Xuying Ning ⋅ Dongqi Fu ⋅ Tianxin Wei ⋅ Mengting Ai ⋅ Jiaru Zou ⋅ Ting-Wei Li ⋅ Hanghang Tong ⋅ Yada Zhu ⋅ Hendrik Hamann ⋅ Jingrui He
AgentFold: Long-Horizon Web Agents with Proactive Context Folding
Rui Ye ⋅ Zhongwang Zhang ⋅ Kuan Li ⋅ Huifeng Yin ⋅ Zhengwei Tao ⋅ Yida Zhao ⋅ Liangcai Su ⋅ Liwen Zhang ⋅ Zile Qiao ⋅ Xinyu Wang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Jingren Zhou ⋅ Siheng Chen ⋅ Yong Jiang
Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?
Haizhong Zheng ⋅ Jiawei Zhao ⋅ Beidi Chen
Rethinking Code Similarity for Automated Algorithm Design with LLMs
Rui Zhang ⋅ Zhichao Lu
Adaptive Social Learning via Mode Policy Optimization for Language Agents
Minzheng Wang ⋅ Yongbin Li ⋅ Haobo Wang ⋅ Xinghua Zhang ⋅ Nan Xu ⋅ Bingli Wu ⋅ Fei Huang ⋅ Haiyang Yu ⋅ Wenji Mao
Two-Layer Convolutional Autoencoders Trained on Normal Data Provably Detect Unseen Anomalies
Yanbo Chen ⋅ Weiwei Liu
Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs
Zhihe Yang ⋅ Xufang Luo ⋅ Zilong Wang ⋅ Dongqi Han ⋅ Zhiyuan He ⋅ Dongsheng Li ⋅ Yunjian Xu
SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence
Ziyang Gong ⋅ Wenhao Li ⋅ Xianzheng Ma ⋅ Songyuan Li ⋅ Zhaokai Wang ⋅ Songze Li ⋅ Jiayi Ji ⋅ Xue Yang ⋅ Gen Luo ⋅ Junchi Yan ⋅ Rongrong Ji
Flow Map Learning Via Non-Gradient Vector Flow
Mark Goldstein ⋅ Anshuk Uppal ⋅ Raghav Singhal ⋅ Aahlad Manas Puli ⋅ Rajesh Ranganath
Programming with Pixels: Can Computer-Use Agents do Software Engineering?
Pranjal Aggarwal ⋅ Sean Welleck
Astra: General Interactive World Model with Autoregressive Denoising
Yixuan Zhu ⋅ Jiaqi Feng ⋅ Wenzhao Zheng ⋅ Yuan Gao ⋅ Xin Tao ⋅ Pengfei Wan ⋅ Jiwen Lu ⋅ Jie Zhou
Understanding and Improving Continuous LLM Adversarial Training via In-context Learning Theory
Shaopeng Fu ⋅ Di Wang
SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
Bo Liu ⋅ Simon Yu ⋅ Zichen Liu ⋅ Leon Guertler ⋅ Penghui Qi ⋅ Daniel Balcells ⋅ Mickel Liu ⋅ Cheston Tan ⋅ Weiyan Shi ⋅ Min Lin ⋅ Wee Sun Lee ⋅ Natasha Jaques
Almost Bayesian: Dynamics of SGD Through Singular Learning Theory
Max Hennick ⋅ Stijn De Baerdemacker
Lookahead Tree-Based Rollouts for Enhanced Trajectory-Level Exploration in Reinforcement Learning with Verifiable Rewards
Shangyu Xing ⋅ Siyuan Wang ⋅ Chenyuan Yang ⋅ Xin-Yu Dai ⋅ Xiang Ren
Computer Agent Arena: Toward Human-Centric Evaluation and Analysis of Computer-Use Agents
Bowen Wang ⋅ Xinyuan Wang ⋅ Jiaqi Deng ⋅ Tianbao Xie ⋅ Ryan Li ⋅ Yanzhe Zhang ⋅ Junli Wang ⋅ Dunjie Lu ⋅ Zicheng Gong ⋅ Gavin Li ⋅ Toh Hua ⋅ Wei-Lin Chiang ⋅ Ion Stoica ⋅ Diyi Yang ⋅ Yu Su ⋅ Yi Zhang ⋅ Zhiguo Wang ⋅ Victor Zhong ⋅ Tao Yu
IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs
David Ma ⋅ Yuanxing Zhang ⋅ JinCheng Ren ⋅ Jiawei Guo ⋅ Yifan Yao ⋅ Zhenlin Wei ⋅ Zhenzhu Yang ⋅ Zhongyuan Peng ⋅ Boyu Feng ⋅ Jun Ma ⋅ 顾潇 ⋅ Zhu ⋅ Zhoufutu Wen ⋅ Yancheng He ⋅ Meng Cao ⋅ Wangchunshu Zhou ⋅ Shiwen Ni ⋅ JIAHENG LIU ⋅ Wenhao Huang ⋅ Ge Zhang ⋅ Xiaojie Jin
Adaptive Thinking: Large Language Models Know When to Think in Latent Space
Pingzhi Li ⋅ Bairu Hou ⋅ Yun Zhu ⋅ Yihao Feng ⋅ Ke Ye ⋅ Tao Lei ⋅ Zhifeng Chen ⋅ Tianlong Chen ⋅ Xianzhi Du
AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
Leheng Sheng ⋅ Changshuo Shen ⋅ Weixiang Zhao ⋅ Junfeng Fang ⋅ Xiaohao Liu ⋅ Zhenkai Liang ⋅ Xiang Wang ⋅ An Zhang ⋅ Tat-Seng Chua
Query-Level Uncertainty in Large Language Models
Lihu Chen ⋅ Gerard de Melo ⋅ Fabian Suchanek ⋅ Gael Varoquaux
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models
Zhangyang Qi ⋅ Zhixiong Zhang ⋅ Ye Fang ⋅ Jiaqi Wang ⋅ Hengshuang Zhao
Why AI Evaluations Need Error Bars
Zairah Mustahsan
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Poster
3:15 PM - 5:45 PM
426 Events in this session
ConsisDrive: Identity-Preserving Driving World Models for Video Generation by Instance Mask
Zhuoran Yang ⋅ Yanyong Zhang
Generative Blocks World: Moving Things Around in Pictures
Vaibhav Vavilala ⋅ Seemandhar Jain ⋅ Rahul Vasanth ⋅ David Forsyth ⋅ Anand Bhattad
FaSTA*: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing
Advait Gupta ⋅ Rishie Raj ⋅ Dang Nguyen ⋅ Tianyi Zhou
JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization
Kai Liu ⋅ Wei Li ⋅ Lai Chen ⋅ Shengqiong Wu ⋅ Yanhao Zheng ⋅ Jiayi Ji ⋅ Fan Zhou ⋅ Jiebo Luo ⋅ Ziwei Liu ⋅ Hao (Scofield) Fei ⋅ Tat-Seng Chua
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
Jianyi Wang ⋅ Shanchuan Lin ⋅ Zhijie Lin ⋅ Yuxi Ren ⋅ Meng Wei ⋅ Zongsheng Yue ⋅ Shangchen Zhou ⋅ Hao Chen ⋅ Yang Zhao ⋅ Ceyuan Yang ⋅ Xuefeng Xiao ⋅ Chen Change Loy ⋅ Lu Jiang
TTOM: Test-Time Optimization and Memorization for Compositional Video Generation
Leigang Qu ⋅ Ziyang Wang ⋅ Na Zheng ⋅ Wenjie Wang ⋅ Liqiang Nie ⋅ Tat-Seng Chua
FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference
Divya Jyoti Bajpai ⋅ Dhruv Bhardwaj ⋅ Soumya Roy ⋅ Tejas Duseja ⋅ Harsh Agarwal ⋅ Aashay Sandansing ⋅ Manjesh Kumar Hanawal
SIGMark: Scalable In-Generation Watermark with Blind Extraction for Video Diffusion
Xinjie zhu ⋅ Zijing Zhao ⋅ Hui Jin ⋅ Qingxiao Guo ⋅ Yilong Ma ⋅ YUNHAO WANG ⋅ Xiaobing Guo ⋅ Weifeng Zhang
K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge
Zhikai Li ⋅ jiatong li ⋅ Xuewen Liu ⋅ Wangbo Zhao ⋅ Pan Du ⋅ Kaicheng Zhou ⋅ Qingyi Gu ⋅ Yang You ⋅ Zhen Dong ⋅ Kurt Keutzer
Reconstruction Alignment Improves Unified Multimodal Models
Ji Xie ⋅ trevor darrell ⋅ Luke Zettlemoyer ⋅ Xudong Wang
FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation
Kaiyi Huang ⋅ Yukun Huang ⋅ Xintao WANG ⋅ Zinan Lin ⋅ Xuefei Ning ⋅ Pengfei Wan ⋅ Di ZHANG ⋅ Yu Wang ⋅ Xihui Liu
JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation
Kai Liu ⋅ Yanhao Zheng ⋅ Kai Wang ⋅ Shengqiong Wu ⋅ Rongjunchen Zhang ⋅ Jiebo Luo ⋅ Dimitrios Hatzinakos ⋅ Ziwei Liu ⋅ Hao (Scofield) Fei ⋅ Tat-Seng Chua
Object Fidelity Diffusion for Remote Sensing Image Generation
Ziqi Ye ⋅ Shuran Ma ⋅ Jie Yang ⋅ Xiaoyi Yang ⋅ Yi Yang ⋅ Ziyang Gong ⋅ Xue Yang ⋅ Haipeng Wang
SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
Junsong Chen ⋅ Yuyang Zhao ⋅ Jincheng YU ⋅ Ruihang Chu ⋅ Junyu Chen ⋅ Shuai Yang ⋅ Xianbang Wang ⋅ Yicheng Pan ⋅ Zhou Daquan ⋅ Huan Ling ⋅ Haozhe Liu ⋅ Hongwei Yi ⋅ Hao Zhang ⋅ Muyang Li ⋅ Yukang Chen ⋅ Han Cai ⋅ Sanja Fidler ⋅ Ping Luo ⋅ Song Han ⋅ Enze Xie
MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation
Ye Tian ⋅ Ling Yang ⋅ JiongFan Yang ⋅ Anran Wang ⋅ Yu Tian ⋅ Jiani zheng ⋅ Haochen Wang ⋅ Zhiyang Teng ⋅ Zhuochen Wang ⋅ Yinjie Wang ⋅ Yunhai Tong ⋅ Mengdi Wang ⋅ Xiangtai Li
Next Visual Granularity Generation
Yikai Wang ⋅ Zhouxia Wang ⋅ Zhonghua Wu ⋅ Qingyi Tao ⋅ Kang Liao ⋅ Chen Change Loy
ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation
Yongyuan Liang ⋅ Wei Chow ⋅ Feng Li ⋅ Ziqiao Ma ⋅ Xiyao Wang ⋅ Jiageng Mao ⋅ Jiuhai Chen ⋅ Jiatao Gu ⋅ Yue Wang ⋅ Furong Huang
SketchingReality: From Freehand Scene Sketches to Photorealistic Images
Ahmed Bourouis ⋅ Mikhail Bessmeltsev ⋅ Yulia Gryaditskaya
RefAny3D: 3D Asset-Referenced Diffusion Models for Image Generation
Hanzhuo Huang ⋅ Qingyang Bao ⋅ Zekai Gu ⋅ Zhongshuo Du ⋅ Cheng Lin ⋅ Yuan Liu ⋅ Sibei Yang
AUHead: Realistic Emotional Talking Head Generation via Action Units Control
Jiayi Lyu ⋅ Leigang Qu ⋅ Wenjing Zhang ⋅ Hanyu Jiang ⋅ Kai Liu ⋅ Zhenglin Zhou ⋅ Xiaobo Xia ⋅ Jian Xue ⋅ Tat-Seng Chua
Many-for-Many: Unify the Training of Multiple Video and Image Generation and Manipulation Tasks
Ruibin Li ⋅ Tao Yang ⋅ Yangming Shi ⋅ Weiguo Feng ⋅ Shilei Wen ⋅ BINGYUE PENG ⋅ Lei Zhang
AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D Scenes
Yu Li ⋅ Menghan Xia ⋅ Gongye Liu ⋅ Jianhong Bai ⋅ Xintao WANG ⋅ Conglang Zhang ⋅ Yuxuan Lin ⋅ Ruihang Chu ⋅ Pengfei Wan ⋅ Yujiu Yang
VINCIE: Unlocking In-context Image Editing from Video
Leigang Qu ⋅ Feng Cheng ⋅ Ziyan Yang ⋅ Qi Zhao ⋅ Shanchuan Lin ⋅ Yichun Shi ⋅ Yicong Li ⋅ Wenjie Wang ⋅ Tat-Seng Chua ⋅ Lu Jiang
DragFlow: Unleashing DiT Priors with Region-Based Supervision for Drag Editing
Zihan Zhou ⋅ Shilin Lu ⋅ Shuli Leng ⋅ Shaocong Zhang ⋅ Zhuming Lian ⋅ Xinlei Yu ⋅ Adams Kong
Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation
Zijing Hu ⋅ Yunze Tong ⋅ Fengda Zhang ⋅ Junkun Yuan ⋅ Jun Xiao ⋅ Kun Kuang
Streaming Autoregressive Video Generation via Diagonal Distillation
Jinxiu Liu ⋅ Xuanming Liu ⋅ Kangfu Mei ⋅ Yandong Wen ⋅ Ming-Hsuan Yang ⋅ Weiyang Liu
DiffVax: Optimization-Free Image Immunization Against Diffusion-Based Editing
Tarik Can Ozden ⋅ Ozgur Kara ⋅ Oguzhan Akcin ⋅ Kerem Zaman ⋅ Shashank Srivastava ⋅ Sandeep Chinchali ⋅ James Rehg
Towards One-step Causal Video Generation via Adversarial Self-Distillation
Yongqi Yang ⋅ Huayang Huang ⋅ Xu Peng ⋅ Xiaobin Hu ⋅ Donghao Luo ⋅ Jiangning Zhang ⋅ Chengjie Wang ⋅ Yu Wu
Learning Video Generation for Robotic Manipulation with Collaborative Trajectory Control
Xiao Fu ⋅ Xintao WANG ⋅ Xian Liu ⋅ Jianhong Bai ⋅ Runsen Xu ⋅ Pengfei Wan ⋅ Di ZHANG ⋅ Dahua Lin
NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
chunrui han ⋅ Guopeng Li ⋅ Jingwei Wu ⋅ Quan Sun ⋅ Yan Cai ⋅ Yuang Peng ⋅ Zheng Ge ⋅ Deyu Zhou ⋅ Haomiao Tang ⋅ Hongyu Zhou ⋅ Kenkun Liu ⋅ Shu-Tao Xia ⋅ Binxing Jiao ⋅ Daxin Jiang ⋅ Xiangyu Zhang ⋅ Yibo Zhu
Reconstruct Anything Model a lightweight general model for computational imaging
Matthieu Terris ⋅ Samuel Hurault ⋅ Maxime Song ⋅ Julián Tachella
MotionWeaver: Holistic 4D-Anchored Framework for Multi-Humanoid Image Animation
Xirui Hu ⋅ Yanbo Ding ⋅ Jiahao Wang ⋅ Tingting Shi ⋅ Yali Wang ⋅ Guo Zhi ⋅ Weizhan Zhang
Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss
Yucheng Zhou ⋅ Hao Li ⋅ Jianbing Shen
MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
Huanlin Gao ⋅ Ping Chen ⋅ Fuyuan Shi ⋅ Ruijia Wu ⋅ Li YanTao ⋅ Qiang Hui ⋅ Youyuren ⋅ Ting Lu ⋅ Chao Tan ⋅ Shaoan Zhao ⋅ Zhaoxiang Liu ⋅ Fang Zhao ⋅ Kai Wang ⋅ Shiguo Lian
Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing
Ziyun Zeng ⋅ David Junhao Zhang ⋅ Wei Li ⋅ Mike Zheng Shou
BindWeave: Subject-Consistent Video Generation via Cross-Modal Integration
Zhaoyang Li ⋅ Dongjun Qian ⋅ Kai Su ⋅ qishuai diao ⋅ Xiangyang Xia ⋅ Chang Liu ⋅ Wenfei Yang ⋅ Tianzhu Zhang ⋅ Zehuan Yuan
Learning to Generate Stylized Handwritten Text via a Unified Representation of Style, Content, and Noise
Honglie Wang ⋅ Yan-Ming Zhang ⋅ Wangzi Yao ⋅ Fei Yin ⋅ Cheng-lin Liu
MoCa: Modeling Object Consistency for 3D Camera Control in Video Generation
Zhijing Cheng ⋅ Xuancheng Zhang ⋅ Donglin Di ⋅ Chen Wei ⋅ Hao Li ⋅ Xun Yang
Generative Universal Verifier as Multimodal Meta-Reasoner
Xinchen Zhang ⋅ Xiaoying Zhang ⋅ Youbin Wu ⋅ Yanbin Cao ⋅ Renrui Zhang ⋅ Ruihang Chu ⋅ Ling Yang ⋅ Yujiu Yang ⋅ Guang Shi
ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization
Shi Zhan Liu ⋅ Hao ZHENG ⋅ Hang Yu ⋅ Jianguo Li
From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation
Cheng Cheng ⋅ Lin Song ⋅ Di An ⋅ Yicheng Xiao ⋅ Xuchong Zhang ⋅ Hongbin Sun ⋅ Ying Shan
reAR: Rethinking Visual Autoregressive Models via Token-wise Consistency Regularization
Qiyuan He ⋅ Yicong Li ⋅ Haotian Ye ⋅ Jinghao Wang ⋅ Xinyao Liao ⋅ Pheng-Ann Heng ⋅ Stefano Ermon ⋅ James Y Zou ⋅ Angela Yao
There and Back Again: On the relation between Noise and Image Inversions in Diffusion Models
Łukasz Staniszewski ⋅ Łukasz Kuciński ⋅ Kamil Deja
CASteer: Cross-Attention Steering for Controllable Concept Erasure
Tatiana Gaintseva ⋅ Andreea-Maria Oncescu ⋅ Chengcheng Ma ⋅ Ziquan Liu ⋅ Martin Benning ⋅ Gregory Slabaugh ⋅ Jiankang Deng ⋅ Ismail Elezi
Rethinking Global Text Conditioning in Diffusion Transformers
Nikita Starodubcev ⋅ Daniil Pakhomov ⋅ Zongze Wu ⋅ Ilya Drobyshevskiy ⋅ Yuchen Liu ⋅ Zhonghao Wang ⋅ Yuqian Zhou ⋅ Zhe Lin ⋅ Dmitry Baranchuk
QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
Weilun Feng ⋅ Chuanguang Yang ⋅ Haotong Qin ⋅ Mingqiang Wu ⋅ Yuqi Li ⋅ Xiangqi Li ⋅ Zhulin An ⋅ Libo Huang ⋅ Yulun Zhang ⋅ Michele Magno ⋅ Yongjun Xu
LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution
Xiaohui Li ⋅ Shaobin Zhuang ⋅ Shuo Cao ⋅ Yang Yang ⋅ Yuandong Pu ⋅ Qi Qin ⋅ Siqi Luo ⋅ Bin Fu ⋅ Yihao Liu
DVD-Quant: Data-free Video Diffusion Transformers Quantization
Zhiteng Li ⋅ Hanxuan Li ⋅ Junyi Wu ⋅ Kai Liu ⋅ Haotong Qin ⋅ Linghe Kong ⋅ Guihai Chen ⋅ Yulun Zhang ⋅ Xiaokang Yang
Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift
Gihoon Kim ⋅ Hyungjin Park ⋅ Taesup Kim
ReconViaGen: Towards Accurate Multi-view 3D Object Reconstruction via Generation
Jiahao Chang ⋅ Chongjie Ye ⋅ Yushuang Wu ⋅ Yuantao Chen ⋅ Yidan Zhang ⋅ Zhongjin Luo ⋅ Chenghong Li ⋅ Yihao Zhi ⋅ Xiaoguang Han
ComGS: Efficient 3D Object-Scene Composition via Surface Octahedral Probes
Jian Gao ⋅ Mengqi Yuan ⋅ Yifei Zeng ⋅ Chang Zeng ⋅ Zhihao Li ⋅ Dave Chen ⋅ Weichao Qiu ⋅ Xiao-Xiao Long ⋅ Hao Zhu ⋅ Xun Cao ⋅ Yao Yao
EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context Learning
Binzhu Xie ⋅ Shi Qiu ⋅ Sicheng Zhang ⋅ Yinqiao Wang ⋅ Hao Xu ⋅ Muzammal Naseer ⋅ Chi-Wing Fu ⋅ Pheng-Ann Heng
BigMaQ: A Big Macaque Motion and Animation Dataset Bridging Image and 3D Pose Representations
Lucas Maximilian Martini ⋅ Alex Lappe ⋅ Anna Bognár ⋅ Rufin Vogels ⋅ Martin Giese
Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild
Seunguk Do ⋅ Minwoo Huh ⋅ Joonghyuk Shin ⋅ Jaesik Park
Interp3D: Correspondence-aware Interpolation for Generative Textured 3D Morphing
Xiaolu Liu ⋅ Yicong Li ⋅ Qiyuan He ⋅ Jiayin Zhu ⋅ Wei Ji ⋅ Angela Yao ⋅ Jianke Zhu
MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting
In-Hwan Jin ⋅ Hyeongju Mun ⋅ Joonsoo Kim ⋅ Kugjin Yun ⋅ Kyeongbo Kong
Beyond Visual Reconstruction Quality: Object Perception-aware 3D Gaussian Splatting for Autonomous Driving
Renzhi Wang ⋅ Yuxiang Fu ⋅ Wuqi Wang ⋅ Haigen Min ⋅ Wei Feng ⋅ Lei Ma ⋅ Qing Guo
Mesh Splatting for End-to-end Multiview Surface Reconstruction
Ruiqi Zhang ⋅ Jiacheng Wu ⋅ Jie Chen
Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields
Tianyu Xiong ⋅ Skylar Wurster ⋅ Han Wei Shen
PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation
Zhenyu Li ⋅ Wenqing Cui ⋅ Shariq Bhat ⋅ Peter Wonka
CogniMap3D: Cognitive 3D Mapping and Rapid Retrieval
Feiran Wang ⋅ Junyi Wu ⋅ Dawen Cai ⋅ Yuan Hong ⋅ Yan Yan
Open-Set Semantic Gaussian Splatting SLAM with Expandable Representation
Yan ⋅ Chen Liang ⋅ Wenguan Wang ⋅ Yi Yang
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Yang Zhou ⋅ Yifan Wang ⋅ Jianjun Zhou ⋅ Wenzheng Chang ⋅ Haoyu Guo ⋅ Zizun Li ⋅ Kaijing Ma ⋅ Xinyue Li ⋅ Yating Wang ⋅ Haoyi Zhu ⋅ Mingyu Liu ⋅ Dingning Liu ⋅ Jiange Yang ⋅ Zhoujie Fu ⋅ Junyi Chen ⋅ Chunhua Shen ⋅ Jiangmiao Pang ⋅ Kaipeng Zhang ⋅ Tong He
Segment Any Events with Language
Seungjun Lee ⋅ Gim H Lee
Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
Zheng Zhou ⋅ Yu-Jie Xiong ⋅ Jia-Chen Zhang ⋅ Chun-Ming Xia ⋅ Xihe Qiu ⋅ Hongjian Zhan
VideoNSA: Native Sparse Attention Scales Video Understanding
Enxin Song ⋅ Wenhao Chai ⋅ Shusheng Yang ⋅ Ethan Armand ⋅ Xiaojun Shan ⋅ Haiyang Xu ⋅ Jianwen Xie ⋅ Zhuowen Tu
DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
Ziwei Zheng ⋅ Minghao Yang ⋅ Jack Hong ⋅ Chenxiao Zhao ⋅ Guohai Xu ⋅ Le Yang ⋅ Chao Shen ⋅ XingYu
Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs
Yongyi Su ⋅ Haojie Zhang ⋅ Shijie Li ⋅ Nanqing Liu ⋅ Jingyi Liao ⋅ Junyi Pan ⋅ Yuan Liu ⋅ Xiaofen Xing ⋅ Chong Sun ⋅ Chen Li ⋅ Nancy Chen ⋅ Shuicheng YAN ⋅ xulei yang ⋅ Xun Xu
Visual Planning: Let's Think Only with Images
Yi Xu ⋅ Chengzu Li ⋅ Han Zhou ⋅ Xingchen Wan ⋅ Caiqi Zhang ⋅ Anna Korhonen ⋅ Ivan Vulić
Autoregressive Models Rival Diffusion Models at ANY-ORDER Generation
Tianqi Du ⋅ Lizhe Fang ⋅ Weijie Yang ⋅ Chenheng Zhang ⋅ Zeming Wei ⋅ Yifei Wang ⋅ Yisen Wang
AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration
Xinlong Chen ⋅ Yue Ding ⋅ Weihong Lin ⋅ Jingyun Hua ⋅ Linli Yao ⋅ Yang Shi ⋅ Bozhou Li ⋅ Qiang Liu ⋅ Yuanxing Zhang ⋅ Pengfei Wan ⋅ Liang Wang
HiTeA: Hierarchical Temporal Alignment for Training-Free Long-Video Temporal Grounding
Xinyi Xu ⋅ Hongsong Wang ⋅ Guo-Sen Xie ⋅ Caifeng Shan ⋅ Fang Zhao
Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
Divyam Madaan ⋅ Varshan Muhunthan ⋅ Kyunghyun Cho ⋅ Sumit Chopra
AudioX: A Unified Framework for Anything-to-Audio Generation
Zeyue Tian ⋅ Zhaoyang Liu ⋅ Yizhu Jin ⋅ Ruibin Yuan ⋅ Liumeng Xue ⋅ Xu Tan ⋅ Qifeng Chen ⋅ Wei Xue ⋅ Yike Guo
Video-KTR: Reinforcing Video Reasoning via Key Token Attribution
Ziyue Wang ⋅ Sheng JIn ⋅ ZHONGRONG ZUO ⋅ Jiawei Wu ⋅ Han Qiu ⋅ Qi She ⋅ Hao Zhang ⋅ Jiang Xudong
SAM-Veteran: An MLLM-Based Human-like SAM Agent for Reasoning Segmentation
Tianyuan Du ⋅ Haopeng Li ⋅ Zhen Fan ⋅ Jiarui Zhang ⋅ Panwang Pan ⋅ Yang Zhang
SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus
Ming Zhao ⋅ Wenhui Dong ⋅ Yang Zhang ⋅ wangyou ⋅ Zhonghao Zhang ⋅ Zian Zhou ⋅ YUNZHI GUAN ⋅ Liukun Xu ⋅ Wei Peng ⋅ Zhaoyang Gong ⋅ Zhicheng Zhang ⋅ Dachuan li ⋅ Xiaosheng Ma ⋅ Yuli Ma ⋅ Jianing Ni ⋅ Changjiang Jiang ⋅ Lixia Tian ⋅ Chen Qixin ⋅ Xia Kaishun ⋅ Pingping Liu ⋅ Tongshun Zhang ⋅ ZhiqiangLiu ⋅ Zhongan Bi ⋅ Chenyang Si ⋅ Tiansheng Sun ⋅ Caifeng Shan
Thicker and Quicker: The Jumbo Token for Fast Plain Vision Transformers
Anthony Fuller ⋅ Yousef Yassin ⋅ Daniel Kyrollos ⋅ Evan Shelhamer ⋅ James Green
OVID: Open-Vocabulary Intrusion Detection
Fujun Han ⋅ Jingqi Ye ⋅ Chenglong Zhang ⋅ Peng Ye
ViMo: A Generative Visual GUI World Model for App Agents
Dezhao Luo ⋅ Bohan Tang ⋅ Kang Li ⋅ Georgios Papoudakis ⋅ Jifei Song ⋅ Shaogang Gong ⋅ Jianye Hao ⋅ Jun Wang ⋅ Kun Shao
Evaluating Cross-Modal Reasoning Ability and Problem Characteristics with Multimodal Item Response Theory
Shunki Uebayashi ⋅ Kento Masui ⋅ Kyohei Atarashi ⋅ Han Bao ⋅ Hisashi Kashima ⋅ Naoto Inoue ⋅ Mayu Otani ⋅ Koh Takeuchi
Calibrated Information Bottleneck for Trusted Multi-modal Clustering
Shizhe Hu ⋅ Zhangwen Gou ⋅ Shuaiju Li ⋅ Jin Qin ⋅ Xiaoheng Jiang ⋅ Pei Lv ⋅ Mingliang Xu
Demystifying Supervision Data Generalization in Multimodal LMs
Xuan Qi ⋅ Luxi He ⋅ Dan Roth ⋅ Xingyu Fu
Point-UQ: An Uncertainty-Quantification Paradigm for Point Cloud Few-Shot Class Incremental Learning
Xiangqi Li ⋅ Libo Huang ⋅ Jiarui Zhao ⋅ Weilun Feng ⋅ Chuanguang Yang ⋅ Zhulin An ⋅ Yongjun Xu
Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations
Linjie Li ⋅ Mahtab Bigverdi ⋅ Jiawei Gu ⋅ Zixian Ma ⋅ Yinuo Yang ⋅ Ziang Li ⋅ Yejin Choi ⋅ Ranjay Krishna
ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models
Jewon Lee ⋅ Wooksu Shin ⋅ Seungmin Yang ⋅ Ki-Ung Song ⋅ DongUk Lim ⋅ Jaeyeon Kim ⋅ Tae-Ho Kim ⋅ Bo-Kyeong Kim
Measure Twice, Cut Once: A Semantic-Oriented Approach to Video Temporal Localization with Video LLMs
Zongshang Pang ⋅ Mayu Otani ⋅ Yuta Nakashima
HierLoc: Hyperbolic Entity Embeddings for Hierarchical Visual Geolocation
Hari Krishna Gadi ⋅ Daniel Matos ⋅ Hongyi Luo ⋅ Lu Liu ⋅ Yongliang Wang ⋅ Yanfeng Zhang ⋅ Liqiu Meng
WALT: Web Agents that Learn Tools
Viraj Prabhu ⋅ Yutong Dai ⋅ Matthew Fernandez ⋅ Krithika Ramakrishnan ⋅ Jing Gu ⋅ Yanqi Luo ⋅ silvio savarese ⋅ Caiming Xiong ⋅ Junnan Li ⋅ Zeyuan Chen ⋅ Ran Xu
Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis
Junhyeok Choi ⋅ Sangwoo Mo ⋅ Minwoo Chae
ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
Yicheng Xu ⋅ Yue Wu ⋅ Jiashuo Yu ⋅ Ziang Yan ⋅ Tianxiang Jiang ⋅ Yinan He ⋅ Qingsong Zhao ⋅ Kai Chen ⋅ Yu Qiao ⋅ Limin Wang ⋅ Manabu Okumura ⋅ Yi Wang
PhysLLM: Harnessing Large Language Models for Cross-Modal Remote Physiological Sensing
Yiping Xie ⋅ bo zhao ⋅ Mingtong Dai ⋅ Jian-Ping Zhou ⋅ Yue Sun ⋅ Tao Tan ⋅ Weicheng Xie ⋅ Linlin Shen ⋅ Zitong YU
Self-Aug: Query and Entropy Adaptive Decoding for Large Vision-Language Models
Eun Woo Im ⋅ Muhammad Kashif Ali ⋅ Vivek Gupta
JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QA
Hyunju Kang ⋅ Woohyun Lee ⋅ Jaewon Kim ⋅ Hogun Park
Part-X-MLLM: Part-aware 3D Multimodal Large Language Model
Chunshi Wang ⋅ Junliang Ye ⋅ Yunhan Yang ⋅ YANG LI ⋅ Zizhuo Lin ⋅ Jun Zhu ⋅ Zhuo Chen ⋅ Yawei Luo ⋅ Chunchao Guo
Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks
Tajamul Ashraf ⋅ Amal Saqib ⋅ Hanan Gani ⋅ Muhra AlMahri ⋅ Yuhao Li ⋅ Noor Ahsan ⋅ Umair Nawaz ⋅ Jean Lahoud ⋅ Hisham Cholakkal ⋅ Mubarak Shah ⋅ Philip Torr ⋅ Fahad Khan ⋅ Rao Anwer ⋅ Salman Khan
FakeXplain: AI-Generated Image Detection via Human-Aligned Grounded Reasoning
Yikun Ji ⋅ Yan Hong ⋅ Qi Fan ⋅ jun lan ⋅ Huijia Zhu ⋅ Weiqiang Wang ⋅ Liqing Zhang ⋅ Jianfu Zhang
Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum
Shan Ning ⋅ Longtian Qiu ⋅ Xuming He
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
Lu Ling ⋅ Chen-Hsuan Lin ⋅ Tsung-Yi Lin ⋅ Yifan Ding ⋅ Yu Zeng ⋅ Yichen Sheng ⋅ Yunhao Ge ⋅ Ming-Yu Liu ⋅ Aniket Bera ⋅ Max Li
H2OFlow: Grounding Human-Object Affordances with 3D Generative Models and Dense Diffused Flows
Harry Zhang ⋅ Luca Carlone
SpatialViz-Bench: A Cognitively-Grounded Benchmark for Diagnosing Spatial Visualization in MLLMs
Siting Wang ⋅ Minnan Pei ⋅ Luoyang Sun ⋅ Cheng Deng ⋅ Yuchen Li ⋅ Kun Shao ⋅ Zheng Tian ⋅ Haifeng Zhang ⋅ Jun Wang
FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding
Zheng Liu ⋅ Mengjie Liu ⋅ Jingzhou Chen ⋅ Jingwei Xu ⋅ Bin CUI ⋅ Conghui He ⋅ Wentao Zhang
SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
Hongxing Li ⋅ Dingming Li ⋅ Zixuan Wang ⋅ Yuchen Yan ⋅ Hang Wu ⋅ Wenqi Zhang ⋅ Yongliang Shen ⋅ Weiming Lu ⋅ Jun Xiao ⋅ Yueting Zhuang
Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
Yi Zhang ⋅ Bolin Ni ⋅ Xin-Sheng Chen ⋅ Hengrui Zhang ⋅ Yongming Rao ⋅ Houwen Peng ⋅ Qinglin Lu ⋅ Winston Hu ⋅ Meng-Hao Guo ⋅ Shi-min Hu
MotionSight: Boosting Fine-Grained Motion Understanding in Multimodal LLMs
Yipeng Du ⋅ Tiehan Fan ⋅ Kepan Nan ⋅ Rui Xie ⋅ Penghao Zhou ⋅ Xiang Li ⋅ Jian Yang ⋅ Zhenheng Yang ⋅ Ying Tai
HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes
Keliang Li ⋅ Hongze Shen ⋅ Hao Shi ⋅ RuiBing Hou ⋅ Hong Chang ⋅ Jie Huang ⋅ Chenghao Jia ⋅ Wen Wang ⋅ Yiling Wu ⋅ Dongmei Jiang ⋅ Shiguang Shan ⋅ Xilin CHEN
Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization
Xintong Li ⋅ Chuhan Wang ⋅ Junda Wu ⋅ Rohan Surana ⋅ Tong Yu ⋅ Julian McAuley ⋅ Jingbo Shang
MMReD: a Cross-Modal Benchmark for Dense Context Reasoning
Maxim Kurkin ⋅ Boris Shirokikh ⋅ IRINA ABDULLAEVA ⋅ Viktoriia Chekalina ⋅ Andrey Kuznetsov
Vision-SR1: Self-Rewarding Vision-Language Model via Reasoning Decomposition and Multi-Reward Policy Optimization
Zongxia Li ⋅ Wenhao Yu ⋅ Chengsong Huang ⋅ Zhenwen Liang ⋅ Rui Liu ⋅ Fuxiao Liu ⋅ Jingxi Chen ⋅ Dian Yu ⋅ Jordan Boyd-Graber ⋅ Haitao Mi ⋅ Dong Yu
VideoZoomer: Reinforcement-Learned Temporal Focusing for Long Video Reasoning
Yang Ding ⋅ Xin Lai ⋅ Yizhen Zhang ⋅ Wei Li ⋅ Ruihang Chu ⋅ Yujiu Yang
WebWatcher: Breaking New Frontiers of Vision-Language Deep Research Agent
Xinyu Geng ⋅ Peng Xia ⋅ Zhen Zhang ⋅ Xinyu Wang ⋅ Qiuchen Wang ⋅ Ruixue Ding ⋅ Chenxi Wang ⋅ Jialong Wu ⋅ Kuan Li ⋅ Yida Zhao ⋅ Huifeng Yin ⋅ Yong Jiang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Huaxiu Yao ⋅ Yi R. Fung ⋅ Jingren Zhou
Spatial CAPTCHA: Generatively Benchmarking Spatial Reasoning for Human-Machine Differentiation
Arina Kharlamova ⋅ Bowei He ⋅ Chen Ma ⋅ Xue Liu
AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions
Jihyoung Jang ⋅ Hyounghun Kim
Decomposed Attention Fusion in MLLMs for Training-free Video Reasoning Segmentation
Su Ho Han ⋅ Jeongseok Hyun ⋅ Pilhyeon Lee ⋅ Minho Shim ⋅ Dongyoon Wee ⋅ Seon Joo Kim
TABLET: A Large-Scale Dataset for Robust Visual Table Understanding
Iñigo Alonso ⋅ Imanol Miranda ⋅ Eneko Agirre ⋅ Mirella Lapata
SCoT: Teaching 3D-LLMs to Think Spatially with Million-scale CoT Annotations
Jinpeng Li ⋅ Haiping Wang ⋅ Jiabin chen ⋅ Yuan Liu ⋅ Zhen Dong ⋅ Bisheng Yang
VisionTrim: Unified Vision Token Compression for Training-Free MLLM Acceleration
Hanxun Yu ⋅ Wentong Li ⋅ Xuan Qu ⋅ Song Wang ⋅ Junbo Chen ⋅ Jianke Zhu
VideoMind: A Chain-of-LoRA Agent for Temporal-Grounded Video Reasoning
Ye Liu ⋅ Kevin Qinghong Lin ⋅ Chang-Wen Chen ⋅ Mike Zheng Shou
IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token Pruning
Zhichao Sun ⋅ Yidong Ma ⋅ Gang Liu ⋅ Yibo Chen ⋅ Xu Tang ⋅ Yao Hu ⋅ Yongchao Xu
Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard Problems
Szymon Pawlonka ⋅ Mikołaj Małkiński ⋅ Jacek Mańdziuk
VisioMath: Benchmarking Figure-based Mathematical Reasoning in LMMs
Can Li ⋅ Ying Liu ⋅ Ting Zhang ⋅ Mei Wang ⋅ Hua Huang
IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video?
Yang Chen ⋅ Minghao Liu ⋅ Yufan Shen ⋅ Yunwen Li ⋅ Tianyuan Huang ⋅ Xinyu Fang ⋅ Tianyu Zheng ⋅ Wenxuan Huang ⋅ Cheng Yang ⋅ Licheng Wen ⋅ Xuemeng Yang ⋅ DAOCHENG FU ⋅ Jianbiao Mei ⋅ Rong Wu ⋅ Song Mao ⋅ Qunshu Lin ⋅ Zhi Yu ⋅ Yongliang Shen ⋅ Yu Qiao ⋅ Botian Shi
CoT-RVS: Zero-Shot Chain-of-Thought Reasoning Segmentation for Videos
Shiu-Hong Kao ⋅ Yu-Wing Tai ⋅ Chi-Keung Tang
FOCUS: Efficient Keyframe Selection for Long Video Understanding
Zirui Zhu ⋅ Hailun Xu ⋅ Yang Luo ⋅ LIU YONG ⋅ Kanchan Sarkar ⋅ Zhenheng Yang ⋅ Yang You
OVSeg3R: Learn Open-vocabulary Instance Segmentation from 2D via 3D Reconstruction
Hongyang Li ⋅ Jinyuan Qu ⋅ Lei Zhang
From Pixels to Semantics: Unified Facial Action Representation Learning for Micro-Expression Analysis
Yicheng Deng ⋅ Hideaki Hayashi ⋅ Hajime Nagahara
Dual Distillation for Few-Shot Anomaly Detection
Le Dong ⋅ Qinzhong Tan ⋅ Chunlei Li ⋅ Jingliang Hu ⋅ Yilei Shi ⋅ Weisheng Dong ⋅ Xiaoxiang Zhu ⋅ Lichao Mou
Reasoning-Driven Multimodal LLM for Domain Generalization
Zhipeng Xu ⋅ Zilong Wang ⋅ Xinyang Jiang ⋅ Dongsheng Li ⋅ De Cheng ⋅ Nannan Wang
Let's Split Up: Zero-Shot Classifier Edits for Fine-Grained Video Understanding
Kaiting Liu ⋅ Hazel Doughty
Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
Nhi Pham ⋅ Artur Jesslen ⋅ Bernt Schiele ⋅ Adam Kortylewski ⋅ Jonas Fischer
Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency
Bill Psomas ⋅ Dionysios Christopoulos ⋅ Eirini Baltzi ⋅ Ioannis Kakogeorgiou ⋅ Tilemachos Aravanis ⋅ Nikos Komodakis ⋅ Konstantinos Karantzalos ⋅ Yannis Avrithis ⋅ Giorgos Tolias
QueryStream: Advancing Streaming Video Understanding with Query-Aware Pruning and Proactive Response
Kairui Zhang ⋅ Zhenyu Yang ⋅ Bing Wang ⋅ Shengsheng Qian ⋅ Changsheng Xu
Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment
Zheng Chen ⋅ Xun Zhang ⋅ Wenbo Li ⋅ Renjing Pei ⋅ Fenglong Song ⋅ Xiongkuo Min ⋅ Xiaohong Liu ⋅ Xin Yuan ⋅ Yong Guo ⋅ Yulun Zhang
KernelFusion: Zero-Shot Blind Super-Resolution via Patch Diffusion
Oliver Heinimann ⋅ Tal Zimbalist ⋅ Assaf Shocher ⋅ michal Irani
DiffuDETR: Rethinking Detection Transformers with Denoising Diffusion Process
Youssof Nawar ⋅ Mohamed Badran ⋅ Marwan Torki
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity
Jingbo Lin ⋅ Zhilu Zhang ⋅ Wenbo Li ⋅ Renjing Pei ⋅ Hang Xu ⋅ Hongzhi Zhang ⋅ Wangmeng Zuo
Hilbert-Guided Sparse Local Attention
Yunge Li ⋅ Lanyu Xu
Measuring the Intrinsic Dimension of Earth Representations
Arjun Rao ⋅ Marc Rußwurm ⋅ Konstantin Klemmer ⋅ Esther Rolf
EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models
Bohao Xing ⋅ Xin Liu ⋅ Guoying Zhao ⋅ Chengyu Liu ⋅ Xiaolan Fu ⋅ Heikki Kälviäinen
VoMP: Predicting Volumetric Mechanical Property Fields
Rishit Dagli ⋅ Donglai Xiang ⋅ Vismay Modi ⋅ Charles Loop ⋅ Clement Fuji Tsang ⋅ Anka He Chen ⋅ Anita Hu ⋅ Gavriel State ⋅ David I.W. ⋅ Maria Shugrina
Asymmetric Synthetic Data Update for Domain Incremental Dataset Distillation
Minyoung Oh ⋅ Jae-Young Sim
Exploring State-Space Models for Data-Specific Neural Representations
Jinsung Lee ⋅ Suha Kwak
Parameterization-Based Dataset Distillation of 3D Point Clouds through Learnable Shape Morphing
Dongwook Kim ⋅ Jae-Young Yim ⋅ Jae-Young Sim
Bootstrapping MLLM for Weakly‑Supervised Class‑Agnostic Object Counting
Xiaowen Zhang ⋅ Zijie Yue ⋅ Yong Luo ⋅ Cai Zhao ⋅ Qijun Chen ⋅ Miaojing Shi
CoEmoGen: Towards Semantically-Coherent and Scalable Emotional Image Content Generation
Kaishen Yuan ⋅ Yuting Zhang ⋅ Shang Gao ⋅ Yijie Zhu ⋅ Wenshuo Chen ⋅ Yutao Yue
MotionGPT3: Human Motion as a Second Modality
Bingfan Zhu ⋅ Biao Jiang ⋅ Sunyi Wang ⋅ SHIXIANG TANG ⋅ Tao Chen ⋅ Linjie Luo ⋅ Youyi Zheng ⋅ Xin Chen
Anime-Ready: Controllable 3D Anime Character Generation with Body-Aligned Component-Wise Garment Modeling
Jiachen Qian ⋅ Hongye Yang ⋅ Youtian Lin ⋅ tianhao zhao ⋅ Feihu Zhang ⋅ Yao Yao ⋅ Hengshuang Zhao
LiFR-Seg: Anytime High-Frame-Rate Segmentation via Event-Guided Propagation
Xiaoshan Wu ⋅ Xiaoyang Lyu ⋅ Yifei Yu ⋅ Bo Wang ⋅ Zhongrui Wang ⋅ XIAOJUAN QI
DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts
Bo Qian ⋅ Dahu Shi ⋅ Xing Wei
Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
Jijie Zhou ⋅ Niloofar Mireshghallah ⋅ Tianshi Li
Natural Identifiers for Privacy and Data Audits in Large Language Models
Lorenzo Rossi ⋅ Bartłomiej Marek ⋅ Franziska Boenisch ⋅ Adam Dziedzic
Fine-Grained Activation Steering: Steering Less, Achieving More
Zijian Feng ⋅ Tianjiao Li ⋅ Zixiao Zhu ⋅ Hanzhang Zhou ⋅ Junlang Qian ⋅ Li Zhang ⋅ Chua Deryl ⋅ Lee Mak ⋅ Gee Ng ⋅ Kezhi Mao
Mitigating Privacy Risk via Forget Set-Free Unlearning
Aviraj Newatia ⋅ Michael Cooper ⋅ Viet Nguyen ⋅ Rahul G. Krishnan
Secure Outlier-Aware Large Language Model Inference
Lifan Zhao ⋅ Zhixuan Fang
A Law of Data Reconstruction for Random Features (And Beyond)
Leonardo Iurada ⋅ Simone Bombari ⋅ Tatiana Tommasi ⋅ Marco Mondelli
Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning
Wassim Bouaziz ⋅ Mathurin VIDEAU ⋅ Nicolas Usunier ⋅ El-Mahdi El-Mhamdi
ULD-Net: Enabling Ultra-Low-Degree Fully Polynomial Networks for Homomorphically Encrypted Inference
Xi Xie ⋅ Ran Ran ⋅ Jiahui Zhao ⋅ Bin Lei ⋅ Zhijie Shi ⋅ Wujie Wen ⋅ Caiwen Ding
INO-SGD: Addressing Utility Imbalance under Individualized Differential Privacy
Xiao Tian ⋅ Jue Fan ⋅ Rachael Hwee Ling Sim ⋅ Bryan Kian Hsiang Low
Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD
Nikita Kalinin ⋅ Ryan McKenna ⋅ Jalaj Upadhyay ⋅ Christoph Lampert
Convergent Differential Privacy Analysis for General Federated Learning
Yan Sun ⋅ Qixin ZHANG ⋅ Li Shen ⋅ Dacheng Tao
Secure Inference for Diffusion Models via Unconditional Scores
Jaeyun Song ⋅ Geondo Park ⋅ Uigyu Kim ⋅ Joonhyung Park ⋅ Eunho Yang
Protection against Source Inference Attacks in Federated Learning
Andreas Athanasiou ⋅ Kangsoo Jung ⋅ Catuscia Palamidessi
ReTrace: Reinforcement Learning-Guided Reconstruction Attacks on Machine Unlearning
Mengyao Ma ⋅ Shuofeng Liu ⋅ Minhui Xue ⋅ Surya Nepal ⋅ Guangdong Bai
Don't Shift the Trigger: Robust Gradient Ascent for Backdoor Unlearning
Xingyi Zhao ⋅ Tian Xie ⋅ Xiaojun Qi ⋅ Depeng Xu ⋅ Shuhan Yuan
When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining
Zhihao Li ⋅ Gezheng Xu ⋅ Jiale Cai ⋅ Ruiyi Fang ⋅ Di Wu ⋅ Qicheng Lao ⋅ Charles Ling ⋅ Boyu Wang
Fingerprinting Deep Neural Networks for Ownership Protection: An Analytical Approach
Guang Yang ⋅ Ziye Geng ⋅ Yihang Chen ⋅ Changqing Luo
Memorization Through the Lens of Sample Gradients
Deepak Ravikumar ⋅ Efstathia Soufleri ⋅ Abolfazl Hashemi ⋅ Kaushik Roy
Steering Diffusion Models Towards Credible Content Recommendation
Zhuo Cai ⋅ Shoujin Wang ⋅ Jin Li ⋅ Peilin Zhou ⋅ Victor W. Chu ⋅ Fang Chen ⋅ Tianqing Zhu ⋅ Charu Aggarwal
Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment
Tianyu Chen ⋅ Jian Lou ⋅ Wenjie Wang
Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs
Yiwei Chen ⋅ Soumyadeep Pal ⋅ Yimeng Zhang ⋅ Qing Qu ⋅ Sijia Liu
Propaganda AI: An Analysis of Semantic Divergence in Large Language Models
Nay Myat Min ⋅ Long H. Pham ⋅ Yige Li ⋅ Jun Sun
Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks
Mahavir Dabas ⋅ Tran Huynh ⋅ Nikhil Billa ⋅ Jiachen (Tianhao) Wang ⋅ Peng Gao ⋅ Charith Peris ⋅ Yao Ma ⋅ Rahul Gupta ⋅ Ming Jin ⋅ Prateek Mittal ⋅ Ruoxi Jia
RedSage: A Cybersecurity Generalist LLM
Naufal Suryanto ⋅ Muzammal Naseer ⋅ Pengfei Li ⋅ Syed Talal Wasim ⋅ Jinhui Yi ⋅ Juergen Gall ⋅ Paolo Ceravolo ⋅ Ernesto Damiani
Inference-Time Personalized Safety Control via Paired Difference-in-Means Intervention
Tran Huynh ⋅ Ruoxi Jia
Co-occurring Associated REtained concepts in Diffusion Unlearning
Miso Kim ⋅ Georu Lee ⋅ Yunji Kim ⋅ Hoki Kim ⋅ Jinseong Park ⋅ Woojin Lee
Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean Reference
Jianwei Li ⋅ Jung-Eun Kim
Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection
Chenwang Wu ⋅ Yiu-ming Cheung ⋅ Shuhai Zhang ⋅ Bo Han ⋅ Defu Lian
JULI: Jailbreak Large Language Models by Self-Introspection
Zhixian Wang ⋅ Zhanhao Hu ⋅ David Wagner
Why Do Unlearnable Examples Work: A Novel Perspective of Mutual Information
Yifan Zhu ⋅ Yibo Miao ⋅ Yinpeng Dong ⋅ XIAOSHAN GAO
Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts
Kartik Sharma ⋅ Yiqiao Jin ⋅ Vineeth Rakesh ⋅ Yingtong Dou ⋅ Menghai Pan ⋅ Mahashweta Das ⋅ Srijan Kumar
The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives
Matthieu Bou ⋅ Nyal Patel ⋅ Arjun Jagota ⋅ Satyapriya Krishna ⋅ Sonali Parbhoo
Sharpness-Aware Machine Unlearning
Haoran Tang ⋅ Rajiv Khanna
Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
Nakyeong Yang ⋅ Dong-Kyum Kim ⋅ Jea Kwon ⋅ Minsung Kim ⋅ Kyomin Jung ⋅ Meeyoung Cha
All Code, No Thought: Language Models Struggle to Reason in Ciphered Language
Shiyuan Guo ⋅ Henry Sleight ⋅ Fabien Roger
ContextBench: Modifying Contexts for Targeted Latent Activation and Behaviour Elicitation
Robert Graham ⋅ Edward Stevinson ⋅ Leo Richter ⋅ Alexander Chia ⋅ Joseph Miller ⋅ Joseph Bloom
Discovering and Steering Interpretable Concepts in Large Generative Music Models
Nikhil Singh ⋅ Manuel Cherep ⋅ Pattie Maes
Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis
Haolin Yang ⋅ Hakaze Cho ⋅ Naoya Inoue
Output Supervision Can Obfuscate the Chain of Thought
jacob drori ⋅ Luke Marks ⋅ Bryce Woodworth ⋅ Alex Cloud ⋅ Alexander Turner
In-Context Algebra
Eric Todd ⋅ Jannik Brinkmann ⋅ Rohit Gandikota ⋅ David Bau
GNN Explanations that do not Explain and How to find Them
Steve Azzolin ⋅ Stefano Teso ⋅ Bruno Lepri ⋅ Andrea Passerini ⋅ Sagar Malhotra
Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models
Yuhui Wang ⋅ Changjiang Li ⋅ Guangke Chen ⋅ Jiacheng Liang ⋅ Ting Wang
Attributing Response to Context: A Jensen–Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation
Ruizhe Li ⋅ CHEN CHEN ⋅ Yuchen Hu ⋅ Yanjun Gao ⋅ Xi Wang ⋅ Emine Yilmaz
When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models
Nan Zhang ⋅ Eugene Kwek ⋅ Yusen Zhang ⋅ Hieu Nguyen ⋅ Prasenjit Mitra ⋅ Rui Zhang
Testing Most Influential Sets
Lucas Darius Konrad ⋅ Nikolas Kuschnig
Doxing via the Lens: Revealing Location-related Privacy Leakage on Multi-modal Large Reasoning Models
Weidi Luo ⋅ Tianyu Lu ⋅ Qiming Zhang ⋅ Xiaogeng Liu ⋅ Bin Hu ⋅ Yue Zhao ⋅ Jieyu Zhao ⋅ Song Gao ⋅ Patrick McDaniel ⋅ Zhen Xiang ⋅ Chaowei Xiao
A Fair Bayesian Inference through Matched Gibbs Posterior
Jihu Lee ⋅ Kunwoong Kim ⋅ Sehyun Park ⋅ Insung Kong ⋅ Dongyoon Yang ⋅ Yongdai Kim
Data-Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles
Namrita Varshney ⋅ Ashutosh Gupta ⋅ Arhaan Ahmad ⋅ Tanay Tayal ⋅ S. Akshay
LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops
Jiyuan Fu ⋅ Kaixun Jiang ⋅ Lingyi Hong ⋅ Jinglun Li ⋅ HaiJing Guo ⋅ Dingkang Yang ⋅ Zhaoyu Chen ⋅ Wenqiang Zhang
Jailbreaking on Text-to-Video Models via Scene Splitting Strategy
Wonjun Lee ⋅ Haon Park ⋅ Doehyeon Lee ⋅ Bumsub Ham ⋅ Suhyun Kim
RepIt: Steering Language Models with Concept-Specific Refusal Vectors
Vincent Siu ⋅ Nathan Henry ⋅ Nicholas Crispino ⋅ Yang Liu ⋅ Dawn Song ⋅ Chenguang Wang
RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization
Wen Huang ⋅ Jiarui Yang ⋅ Tao Dai ⋅ Jiawei Li ⋅ Shaoxiong Zhan ⋅ Bin Wang ⋅ Shu-Tao Xia
GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods
Ruixuan HUANG ⋅ Xunguang Wang ⋅ Zongjie Li ⋅ Daoyuan Wu ⋅ Shuai Wang
ARMOR: Aligning Secure and Safe Large Language Models via Meticulous Reasoning
Zhengyue Zhao ⋅ Yingzi Ma ⋅ Somesh Jha ⋅ Marco Pavone ⋅ Patrick McDaniel ⋅ Chaowei Xiao
Formalising Human-in-the-Loop: Computational Reductions, Failure Modes, and Legal-Moral Responsibility
Maurice Chiodo ⋅ Dennis Müller ⋅ Paul Siewert ⋅ Jean-Luc Wetherall ⋅ Zoya Yasmine ⋅ John Burden
Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs
Xuwei Tan ⋅ Ziyu Hu ⋅ Xueru Zhang
Ghost in the Cloud: Your Geo-Distributed Large Language Models Training is Easily Manipulated
Zichen TANG ⋅ Zhenheng Tang ⋅ Gaoning Pan ⋅ Buhua Liu ⋅ Xin He ⋅ Kunfeng Lai ⋅ Xiaowen Chu ⋅ Bo Li
D&R: Recovery-based AI-Generated Text Detection via a Single Black-box LLM Call
Yuxia Sun ⋅ Ran Zhang ⋅ Aoxiang Sun ⋅ Xu Li ⋅ Zitao Liu ⋅ Jingcai Guo
Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
Shuai Shao ⋅ Qihan Ren ⋅ Dongrui Liu ⋅ Chen Qian ⋅ Boyi Wei ⋅ Dadi Guo ⋅ Jingyi Yang ⋅ Xinhao Song ⋅ Linfeng Zhang ⋅ Weinan Zhang ⋅ Jing Shao
Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
Yongding Tao ⋅ Tian Wang ⋅ Yihong Dong ⋅ Huanyu Liu ⋅ Kechi Zhang ⋅ Hu XiaoLong ⋅ Ge Li
Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic Framework
Kihyun Kim ⋅ Jiawei Zhang ⋅ Asuman Ozdaglar ⋅ Pablo Parrilo
Diversity-Enhanced Reasoning for Subjective Questions
Yumeng Wang ⋅ Zhiyuan Fan ⋅ Jiayu Liu ⋅ Jen-Tse Huang ⋅ Yi R. Fung
Doubly-Regressing Approach for Subgroup Fairness
Kunwoong Kim ⋅ Kyungseon Lee ⋅ Jihu Lee ⋅ Dongyoon Yang ⋅ Yongdai Kim
Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-Depth
Jiawei Zhang ⋅ Andrew Estornell ⋅ David Baek ⋅ Bo Li ⋅ Xiaojun Xu
Multi-Feature Quantized Self-Attention for Fair Large Language Models
Jaeil Park ⋅ Sung-Bae Cho
DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration
Gilles Eerlings ⋅ Brent Zoomers ⋅ Jori Liesenborgs ⋅ Gustavo Rovelo Ruiz ⋅ Kris Luyten
What Do Large Language Models Know About Opinions?
Erfan Jahanparast ⋅ Zhiqing Hong ⋅ Serina Chang
A Rich Knowledge Space for Scalable Deepfake Detection
Inho Jung ⋅ Hyeongjun Choi ⋅ Minh Binh Le ⋅ Hohyun Na ⋅ Simon Woo
Safety Subspaces are Not Linearly Distinct: A Fine-Tuning Case Study
Kaustubh Ponkshe ⋅ Shaan Shah ⋅ Raghav Singhal ⋅ Praneeth Vepakomma
Unlearning during Training: Domain-Specific Gradient Ascent for Domain Generalization
Di Zhao ⋅ Jingfeng Zhang ⋅ Hongsheng Hu ⋅ Philippe Fournier-Viger ⋅ Gillian Dobbie ⋅ Yun Sing Koh
VUDG: A Dataset for Video Understanding Domain Generalization
Ziyi Wang ⋅ Zhi Gao ⋅ Boxuan Yu ⋅ Zirui Dai ⋅ Peiyao Wang ⋅ Yuxiang Song ⋅ Qingyuan Lu ⋅ Jin Chen ⋅ Xinxiao Wu
Computing Equilibrium beyond Unilateral Deviation
Mingyang Liu ⋅ Gabriele Farina ⋅ Asuman Ozdaglar
Code World Models for General Game Playing
Wolfgang Lehrach ⋅ Daniel Hennes ⋅ Miguel Lazaro-Gredilla ⋅ Xinghua Lou ⋅ Carter Wendelken ⋅ Zun Li ⋅ Antoine Dedieu ⋅ Marc Lanctot ⋅ Atil Iscen ⋅ John Schultz ⋅ Marcus Chiam ⋅ Ian Gemp ⋅ Piotr Zielinski ⋅ Satinder Singh ⋅ Kevin Murphy
Instance-Dependent Fixed-Budget Pure Exploration in Reinforcement Learning
Yeongjong Kim ⋅ Yeoneung Kim ⋅ Kwang-Sung Jun
Testing Fourier Sparsity via Implicit Sensing
Arijit Ghosh ⋅ Subhamoy Maitra ⋅ Manmatha Roy
Transformers Trained via Gradient Descent Can Provably Learn a Class of Teacher Models
Chenyang Zhang ⋅ Qingyue Zhao ⋅ Quanquan Gu ⋅ Yuan Cao
Stable coresets: Unleashing the power of uniform sampling
Amir Carmel ⋅ Robert Krauthgamer
Rényi Sharpness: A Novel Sharpness that Strongly Correlates with Generalization
Qiaozhe Zhang ⋅ Jun Sun ⋅ Yingzhuang Liu
Frozen Policy Iteration: Computationally Efficient RL under Linear $Q^{\pi}$ Realizability for Deterministic Dynamics
Yijing Ke ⋅ Zihan Zhang ⋅ Ruosong Wang
SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and Guidelines
Itai Morad ⋅ Nir Shlezinger ⋅ Yonina Eldar
Saddle-to-Saddle Dynamics Explains A Simplicity Bias Across Neural Network Architectures
Yedi Zhang ⋅ Andrew Saxe ⋅ Peter Latham
Directional Convergence, Benign Overfitting of Gradient Descent in leaky ReLU two-layer Neural Networks
Ichiro Hashimoto
Dynamical properties of dense associative memory
Kazushi Mimura ⋅ Junichi Takeuchi ⋅ Yuto Sumikawa ⋅ Yoshiyuki Kabashima ⋅ Anthony CC Coolen
Learning in Prophet Inequalities with Noisy Observations
Jung-hun Kim ⋅ Vianney Perchet
Gradient Descent Dynamics of Rank-One Matrix Denoising
Zeyan Zhuang ⋅ Shenghui Song
Personalized Collaborative Learning with Affinity-Based Variance Reduction
Chenyu Zhang ⋅ Navid Azizan
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime
Shuai Jiang ⋅ Eric Cyr ⋅ Ben Southworth ⋅ Alexey Voronin
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
Anvit Garg ⋅ Sohom Bhattacharya ⋅ Pragya Sur
Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
Shai Zucker ⋅ Xiong Wang ⋅ Fei Lu ⋅ Inbar Seroussi
When Bias Meets Trainability: Connecting Theories of Initialization
Alberto Bassi ⋅ Marco Baity-Jesi ⋅ Aurelien Lucchi ⋅ Carlo Albert ⋅ Emanuele Francazi
Sampling Complexity of TD and PPO in RKHS
LU ZOU ⋅ Wendi Ren ⋅ WEIZHONG ZHANG ⋅ Liang Ding ⋅ Shuang Li
CLUE: Conflict-guided Localization for LLM Unlearning Framework
Hang Chen ⋅ Jiaying Zhu ⋅ Xinyu Yang ⋅ Wenya Wang
Block Recurrent Dynamics in Vision Transformers
Mozes Jacobs ⋅ Thomas Fel ⋅ Richard Hakim ⋅ Alessandra Brondetta ⋅ Demba Ba ⋅ T. Anderson Keller
What's the plan? Metrics for implicit planning in LLMs and their application to rhyme generation and question answering
Jim Maar ⋅ Denis Paperno ⋅ Callum McDougall ⋅ Neel Nanda
Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs
Vishal Pramanik ⋅ Maisha Maliha ⋅ Nathaniel Bastian ⋅ Sumit Jha
Mixing Mechanisms: How Language Models Retrieve Bound Entities In-Context
Yoav Gur-Arieh ⋅ Mor Geva ⋅ Atticus Geiger
Video Unlearning via Low-Rank Refusal Vector
Simone Facchiano ⋅ Stefano Saravalle ⋅ Matteo Migliarini ⋅ Edoardo De Matteis ⋅ Alessio Sampieri ⋅ Andrea Pilzer ⋅ Emanuele Rodolà ⋅ Indro Spinelli ⋅ Luca Franco ⋅ Fabio Galasso
Eliciting Numerical Predictive Distributions of LLMs Without Auto-Regression
Julianna Piskorz ⋅ Katarzyna Kobalczyk ⋅ Mihaela van der Schaar
Markovian Transformers for Informative Language Modeling
Scott Viteri ⋅ Max Lamparth ⋅ Peter Chatain ⋅ Clark Barrett
Causality ≠ Invariance: Function and Concept Vectors in LLMs
Gustaw Opielka ⋅ Hannes Rosenbusch ⋅ Claire Stevenson
ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall
Jiayu Yang ⋅ Yuxuan Fan ⋅ Songning Lai ⋅ Shengen Wu ⋅ Jiaqi Tang ⋅ Chun Kang ⋅ Zhijiang Guo ⋅ Yutao Yue
On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted Remedy
Jingyi Cui ⋅ Qi Zhang ⋅ Yifei Wang ⋅ Yisen Wang
Medical Interpretability and Knowledge Maps of Large Language Models
Razvan Marinescu ⋅ Victoria-Elisabeth Gruber ⋅ Diego Fajardo Vargas
Temporal superposition and feature geometry of RNNs under memory demands
Pratyaksh Sharma ⋅ Alexandra M Proca ⋅ Lucas Prieto ⋅ Pedro Mediano
Emotions Where Art Thou: Understanding and Characterizing the Emotional Latent Space of Large Language Models
Benjamin Reichman ⋅ Adar Avsian ⋅ Larry Heck
The Lattice Representation Hypothesis of Large Language Models
Bo Xiong
Reshaping Reasoning in LLMs: A Theoretical Analysis of RL Training Dynamics through Pattern Selection
Xingwu Chen ⋅ Tianle Li ⋅ Difan Zou
Efficient algorithms for Incremental Metric Bipartite Matching
Ritesh Seth ⋅ Mrinal Garg ⋅ Sujoy Bhore ⋅ Sharath Raghvendra ⋅ Syamantak Das
Generalizable Heuristic Generation Through LLMs with Meta-Optimization
Yiding Shi ⋅ Jianan Zhou ⋅ Wen Song ⋅ Jieyi Bi ⋅ Yaoxin Wu ⋅ Zhiguang Cao ⋅ Jie Zhang
OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework
Chenhan Jin ⋅ Shengze Xu ⋅ Qingsong Wang ⋅ Fan JIA ⋅ Dingshuo Chen ⋅ Tieyong Zeng
A Scalable Constant-Factor Approximation Algorithm for $W_p$ Optimal Transport
Pankaj Agarwal ⋅ Oliver Chubet ⋅ Sharath Raghvendra ⋅ Keegan Yao
Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure
Lukas Aichberger ⋅ Kajetan Schweighofer ⋅ Sepp Hochreiter
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
Deepro Choudhury ⋅ Sinead Williamson ⋅ Adam Golinski ⋅ Ning Miao ⋅ Freddie Bickford Smith ⋅ Michael Kirchhof ⋅ Yizhe Zhang ⋅ Tom Rainforth
``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum Likelihood
Peiyu Yu ⋅ Dinghuai Zhang ⋅ Hengzhi He ⋅ Xiaojian Ma ⋅ Sirui Xie ⋅ RUIYAO MIAO ⋅ Yifan Lu ⋅ Yasi Zhang ⋅ Deqian Kong ⋅ Ruiqi Gao ⋅ Jianwen Xie ⋅ Guang Cheng ⋅ Yingnian Wu
Cross-Tokenizer Likelihood Scoring Algorithms for Language Model Distillation
Truong Buu Phan ⋅ Ashish Khisti ⋅ Karen Ullrich
Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence
Alexander Semenenko ⋅ Ivan Butakov ⋅ Ivan Oseledets ⋅ Alexey Frolov
Fine-tuning Behavioral Cloning Policies with Preference‑Based Reinforcement Learning
Mael Macuglia ⋅ Paul Friedrich ⋅ Giorgia Ramponi
Q-learning with Posterior Sampling
Priyank Agrawal ⋅ Shipra Agrawal ⋅ Azmat Azati
Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with $\boldsymbol{f}$-SoftArgmax Parameterization $\&$ Coupled Regularization
Safwan Labbi ⋅ Daniil Tiapkin ⋅ Paul Mangold ⋅ Eric Moulines
Convergence of an actor-critic gradient flow for entropy regularised MDPs in general spaces
Denis Zorba ⋅ David Siska ⋅ Lukasz Szpruch
WARC-Bench: Web Archive based Benchmark for GUI Subtask Executions
Sanjari Srivastava ⋅ Gang Li ⋅ Cheng Chang ⋅ Rishu Garg ⋅ Manpreet Kaur ⋅ Charlene Lee ⋅ Yuezhang Li ⋅ Yining Mao ⋅ Juan Ignacio Cases Martin ⋅ Yanan Xie ⋅ Peng Qi
A Unifying View of Coverage in Linear Off-policy Evaluation
Philip Amortila ⋅ Audrey Huang ⋅ Akshay Krishnamurthy ⋅ Nan Jiang
Robust Adaptive Multi-Step Predictive Shielding
Tanmay Sadanand Ambadkar ⋅ Darshan Chudiwal ⋅ Greg Anderson ⋅ Abhinav Verma
Grouping Nodes with known Value Differences: A lossless UCT-based Abstraction Algorithm
Robin Schmöcker ⋅ Alexander Dockhorn ⋅ Bodo Rosenhahn
Welfarist Formulations for Diverse Similarity Search
Siddharth Barman ⋅ Nirjhar Das ⋅ Shivam Gupta ⋅ Kirankumar Shiragur
Random Spiking Neural Networks are Stable and Spectrally Simple
Ernesto Araya ⋅ Massimiliano Datres ⋅ Gitta Kutyniok
The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm
Jiale Chen ⋅ Yalda Shabanzadeh ⋅ Elvir Crnčević ⋅ Torsten Hoefler ⋅ Dan Alistarh
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
Jonas Hübotter ⋅ Patrik Wolf ⋅ Aleksandr Shevchenko ⋅ Dennis Jüni ⋅ Andreas Krause ⋅ Gil Kur
Offline Reinforcement Learning with Adaptive Feature Fusion
Tieru Wang ⋅ Kunbao Wu ⋅ Guoshun Nan
Improving and Accelerating Offline RL in Large Discrete Action Spaces with Structured Policy Initialization
Matt Landers ⋅ Taylor Killian ⋅ Tom Hartvigsen ⋅ Afsaneh Doryab
Adaptive Scaling of Policy Constraints for Offline Reinforcement Learning
Jing Tan ⋅ Xiaorui Li ⋅ Chao Yao ⋅ Xiaojuan Ban ⋅ Yuetong FANG ⋅ Renjing Xu ⋅ Zhaolin Yuan
APC-RL: Exceeding data-driven behavior priors with adaptive policy composition
Finn Rietz ⋅ Pedro Zuidberg Dos Martires ⋅ Johannes A. Stork
Efficient Offline Reinforcement Learning via Peer-Influenced Constraint
Yujia Zhang ⋅ Lin Li ⋅ Wei Wei ⋅ Jianguo Wu ⋅ Yi Ma ⋅ Jiye Liang
Decoupled Q-Chunking
Qiyang Li ⋅ Seohong Park ⋅ Sergey Levine
Scalable In-Context Q-Learning
Jinmei Liu ⋅ Fuhong Liu ⋅ Zhenhong Sun ⋅ Jianye Hao ⋅ Huaxiong Li ⋅ Bo Wang ⋅ Daoyi Dong ⋅ Chunlin Chen ⋅ Zhi Wang
ADM-v2: Pursuing Full-Horizon Roll-out in Dynamics Models for Offline Policy Learning and Evaluation
Haoxin Lin ⋅ Siyuan Xiao ⋅ Yi-Chen Li ⋅ Zhilong Zhang ⋅ Yihao Sun ⋅ Chengxing Jia ⋅ Yang Yu
Offline Preference-Based Value Optimization
Hyungkyu Kang ⋅ Min-hwan Oh
MAGE: Multi-scale Autoregressive Generation for Offline Reinforcement Learning
Chenxing Lin ⋅ Xinhui Gao ⋅ Haipeng Zhang ⋅ Xinran Li ⋅ Haitao Wang ⋅ Songzhu Mei ⋅ Chenglu Wen ⋅ Weiquan Liu ⋅ Siqi Shen ⋅ Cheng Wang
Escaping Policy Contraction: Contraction-Aware PPO (CaPPO) for Stable Language Model Fine-Tuning
Dun Yuan ⋅ Di Wu ⋅ Xue Liu
Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning
Ahmed Hendawy ⋅ Henrik Metternich ⋅ Théo Vincent ⋅ Mahdi Kallel ⋅ Jan Peters ⋅ Carlo D Eramo
Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data
Yi Zhao ⋅ Aidan Scannell ⋅ Wenshuai Zhao ⋅ Yuxin Hou ⋅ Tianyu Cui ⋅ Le Chen ⋅ Dieter Büchler ⋅ Arno Solin ⋅ Juho Kannala ⋅ Joni Pajarinen
Don't Just Fine-tune the Agent, Tune the Environment
Siyuan Lu ⋅ Zechuan Wang ⋅ Hongxuan Zhang ⋅ Qintong Wu ⋅ Leilei Gan ⋅ Chenyi Zhuang ⋅ Jinjie Gu ⋅ Tao Lin
Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning
Ke Sun ⋅ Hongming Zhang ⋅ Jun Jin ⋅ Chao Gao ⋅ Xi Chen ⋅ Wulong Liu ⋅ Linglong Kong
FlowRL: Matching Reward Distributions for LLM Reasoning
Xuekai Zhu ⋅ Daixuan Cheng ⋅ Dinghuai Zhang ⋅ Henry Li ⋅ Kaiyan Zhang ⋅ Che Jiang ⋅ Youbang Sun ⋅ Ermo Hua ⋅ Yuxin Zuo ⋅ Xingtai Lv ⋅ Qizheng Zhang ⋅ Lin Chen ⋅ Fanghao Shao ⋅ Bo Xue ⋅ Yunchong Song ⋅ Zhenjie Yang ⋅ Ganqu Cui ⋅ Ning Ding ⋅ Jianfeng Gao ⋅ Xiaodong Liu ⋅ Bowen Zhou ⋅ Hongyuan Mei ⋅ Zhouhan Lin
BRIDGE: Bi-level Reinforcement Learning for Dynamic Group Structure in Coalition Formation Games
Shuqing Shi ⋅ Nam Tran ⋅ Hao Liang ⋅ Debmalya Mandal ⋅ Long Tran-Thanh ⋅ Yali Du
Intention-Conditioned Flow Occupancy Models
Chongyi Zheng ⋅ Seohong Park ⋅ Sergey Levine ⋅ Benjamin Eysenbach
Reliability-Adjusted Prioritized Experience Replay
Leonard S. Pleiss ⋅ Tobias Sutter ⋅ Maximilian Schiffer
RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks
Mian Wu ⋅ Gavin Zhang ⋅ Sewon Min ⋅ Sergey Levine ⋅ Aviral Kumar
Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
Fernando Martinez ⋅ Tao Li ⋅ Yingdong Lu ⋅ Juntao Chen
Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
Hieu Nguyen ⋅ Bao Nguyen ⋅ Wenao Ma ⋅ Yuzhi Zhao ⋅ Ruifeng She ⋅ Viet Anh Nguyen
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
Yaochen Zhu ⋅ Harald Steck ⋅ Dawen Liang ⋅ Yinhan He ⋅ Vito Ostuni ⋅ Jundong Li ⋅ Nathan Kallus
Quantile Advantage Estimation: Stabilizing RLVR for LLM Reasoning
Junkang Wu ⋅ Kexin Huang ⋅ Jiancan Wu ⋅ An Zhang ⋅ Xiang Wang ⋅ Xiangnan He
Graph-Theoretic Intrinsic Reward: Guiding RL with Effective Resistance
Jatin Chauhan ⋅ Shivam Bhardwaj ⋅ Aditya Saibewar ⋅ Aditya Ramesh ⋅ Sadbhavana Babar ⋅ Manohar Kaul
Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
Min Wang ⋅ Xin Li ⋅ Ye He ⋅ Yao-Hui Li ⋅ Hasnaa Bennis ⋅ Riashat Islam ⋅ Mingzhong Wang
AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification
Geonwoo Cho ⋅ Jaemoon Lee ⋅ Jaegyun Im ⋅ Subi Lee ⋅ Jihwan Lee ⋅ Sundong Kim
Parameter-Efficient Reinforcement Learning using Prefix Optimization
Itamar Rocha Filho ⋅ Rosie Zhao ⋅ Sham Kakade ⋅ Eran Malach ⋅ Samy Jelassi
Tricks or Traps? A Deep Dive into RL for LLM Reasoning
Zihe Liu ⋅ Jiashun Liu ⋅ Yancheng He ⋅ Weixun Wang ⋅ JIAHENG LIU ⋅ Ling Pan ⋅ Xinyu Hu ⋅ Shaopan Xiong ⋅ Ju Huang ⋅ Jian Hu ⋅ Shengyi Huang ⋅ Siran Yang ⋅ Jiamang Wang ⋅ wenbo su ⋅ Bo Zheng
Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models
Lior Cohen ⋅ Ofir Nabati ⋅ Kaixin Wang ⋅ Navdeep Kumar ⋅ Shie Mannor
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Yongliang Wu ⋅ Yizhou Zhou ⋅ Ziheng Zhou ⋅ Yingzhe Peng ⋅ Xinyu Ye ⋅ Xinting Hu ⋅ Wenbo Zhu ⋅ Lu Qi ⋅ Ming-Hsuan Yang ⋅ xu yang
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Tree-based Search
Fang Wu ⋅ Weihao Xuan ⋅ Heli Qi ⋅ Aaron Tu ⋅ Ximing Lu ⋅ Li Li ⋅ Yejin Choi
Policy Likelihood-based Query Sampling and Critic-Exploited Reset for Efficient Preference-based Reinforcement Learning
Jongkook Heo ⋅ JAEHOON KIM ⋅ Young Jae Lee ⋅ Min Gu Kwak ⋅ Youngjoon Park ⋅ Seoung Bum Kim
3D-aware Disentangled Representation for Compositional Reinforcement Learning
Sungbin Mun ⋅ Younghwan Lee ⋅ Cheolhui MIn ⋅ Mineui Hong ⋅ Young Min Kim
Flowing Through States: Neural ODE Regularization for Reinforcement Learning
Mohamed Ghanem ⋅ Bernd Finkbeiner
Entropy Regularizing Activation: Boosting Continuous Control, Large Language Models, and Image Classification with Activation as Entropy Constraints
Zilin Kang ⋅ Chonghua Liao ⋅ Tingqiang Xu ⋅ Huazhe Xu
MVR: Multi-view Video Reward Shaping for Reinforcement Learning
Lirui Luo ⋅ Guoxi Zhang ⋅ Hongming Xu ⋅ Yaodong Yang ⋅ Cong Fang ⋅ Qing Li
Mirage or Method? How Model–Task Alignment Induces Divergent RL Conclusions
Haoze Wu ⋅ Cheng Wang ⋅ Wenshuo Zhao ⋅ Junxian He
Deep SPI: Safe Policy Improvement via World Models
Florent Delgrange ⋅ Raphael Avalos ⋅ Willem Röpke
SafeMPO: Constrained Reinforcement Learning with Probabilistic Incremental Improvement
Alexander Mattick ⋅ Dominik Seuß ⋅ Christopher Mutschler
SSVPO: Effective Step-Level Credit Assignment for RL Training of Language Models
Yugu Li ⋅ Zehong Cao ⋅ Jianglin Qiao ⋅ Siyi Hu
Robustness in the Face of Partial Identifiability in Reward Learning
Filippo Lazzati ⋅ Alberto Maria Metelli
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
Michael Amir ⋅ Matteo Bettini ⋅ Amanda Prorok
KRAMABENCH: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
Eugenie Lai ⋅ Gerardo Vitagliano ⋅ Ziyu Zhang ⋅ Om Chabra ⋅ SIVAPRASAD SUDHIR ⋅ Anna Zeng ⋅ Anton Zabreyko ⋅ Chenning Li ⋅ Ferdi Kossmann ⋅ Jialin Ding ⋅ Jun Chen ⋅ Markos Markakis ⋅ Matthew Russo ⋅ Weiyang Wang ⋅ Ziniu Wu ⋅ Mike Cafarella ⋅ Lei Cao ⋅ Samuel Madden ⋅ Tim Kraska
Correlated Policy Optimization in Multi-Agent Subteams
Dingyang Chen ⋅ Jianing Ye ⋅ Zhenyu Zhang ⋅ Xiaolong Kuang ⋅ Xinyang Shen ⋅ Ozalp Ozer ⋅ Chongjie Zhang ⋅ Qi Zhang
Look-ahead Reasoning with a Learned Model in Imperfect Information Games
Ondrej Kubicek ⋅ Viliam Lisý
ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents
Ido Levy ⋅ Ben wiesel ⋅ Sami Marreed ⋅ Alon Oved ⋅ Avi Yaeli ⋅ Segev Shlomov
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Zhuofeng Li ⋅ Haoxiang Zhang ⋅ Seungju Han ⋅ Sheng Liu ⋅ Jianwen Xie ⋅ Yu Zhang ⋅ Yejin Choi ⋅ James Y Zou ⋅ Pan Lu
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
Xuefeng Wang ⋅ Lei Zhang ⋅ Henglin Pu ⋅ Ahmed Hussain Qureshi ⋅ Husheng Li
GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving
Ruida WANG ⋅ Jiarui Yao ⋅ Rui Pan ⋅ Shizhe Diao ⋅ Tong Zhang
Defending Against Unknown Corrupted Agents: Reinforcement Learning of Adversarially Robust Nash Equilibria
Andi Nika · Jonathan Nöther · Adish Singla · Goran Radanović
Variance-Dependent Regret Lower Bounds for Contextual Bandits
Jiafan He ⋅ Quanquan Gu
All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning
Gokul Swamy ⋅ Sanjiban Choudhury ⋅ Wen Sun ⋅ Steven Wu ⋅ Drew Bagnell
ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents
Hanyu Lai ⋅ Xiao Liu ⋅ Yanxiao Zhao ⋅ Han Xu ⋅ Hanchen Zhang ⋅ Bohao Jing ⋅ Yanyu Ren ⋅ Shuntian Yao ⋅ Yuxiao Dong ⋅ Jie Tang
EUBRL: Epistemic Uncertainty Directed Bayesian Reinforcement Learning
Jianfei Ma ⋅ Wee Sun Lee
Near-Optimal Online Deployment and Routing for Streaming LLMs
Shaoang Li ⋅ Jian Li
MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
Yifan Xu ⋅ Xiao Liu ⋅ Xinghan Liu ⋅ Jiaqi Fu ⋅ Jiayu Huang ⋅ Hanchen Zhang ⋅ Bohao Jing ⋅ Shudan Zhang ⋅ Yuting Wang ⋅ Zhao wenyi ⋅ Yuxiao Dong
Information-based Value Iteration Networks for Decision Making Under Uncertainty
Cynthia Chen ⋅ Samantha Johnson ⋅ Cindy Poo ⋅ Michael Buice ⋅ Koosha Khalvati
WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection
Guanzhong He ⋅ Zhen Yang ⋅ Jinxin Liu ⋅ Xu Bin ⋅ Lei Hou ⋅ Juanzi Li
ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures
Xiyin Zeng ⋅ Yuyu Sun ⋅ Haoyang Li ⋅ Shouqiang Liu ⋅ Hao Wang
TRIM: Hybrid Inference via Targeted Stepwise Routing in Multi-Step Reasoning Tasks
Vansh Kapoor ⋅ Aman Gupta ⋅ Hao Chen ⋅ Anurag Beniwal ⋅ Jing Huang ⋅ Aviral Kumar
Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments
Romain Froger ⋅ Pierre Andrews ⋅ Matteo Bettini ⋅ Amar Budhiraja ⋅ Ricardo Cabral ⋅ Virginie Do ⋅ Emilien Garreau ⋅ Jean-Baptiste Gaya ⋅ Hugo Laurençon ⋅ Maxime Lecanu ⋅ Kunal Malkan ⋅ Dheeraj Mekala ⋅ Pierre Ménard ⋅ Gerard Bertran ⋅ Ulyana Piterbarg ⋅ Mikhail Plekhanov ⋅ Mathieu Rita ⋅ Andrey Rusakov ⋅ Vladislav Vorotilov ⋅ Mengjuew Wang ⋅ Ian Yu ⋅ Amine Benhalloum ⋅ Grégoire Mialon ⋅ Thomas Scialom
Prompt Curriculum Learning for Efficient LLM Post-Training
Zhaolin Gao ⋅ Joongwon Kim ⋅ Wen Sun ⋅ Thorsten Joachims ⋅ Sid Wang ⋅ Richard Yuanzhe Pang ⋅ Liang Tan
AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints
Yirong Zeng ⋅ Xiao Ding ⋅ Yufei Liu ⋅ Yuxian Wang ⋅ Qunyao Du ⋅ Yutai Hou ⋅ Wu Ning ⋅ Haonan Song ⋅ Duyu Tang ⋅ Dandan Tu ⋅ Bing Qin ⋅ Ting Liu
Beyond English-Centric Training: How Reinforcement Learning Improves Cross-Lingual Reasoning in LLMs
Shulin Huang ⋅ Yiran Ding ⋅ Junshu Pan ⋅ Yue Zhang
Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning
Yimeng Zhang ⋅ Tian Wang ⋅ Jiri Gesi ⋅ Ziyi Wang ⋅ Yuxuan Lu ⋅ Jiacheng Lin ⋅ Simon Zhan ⋅ Vianne Gao ⋅ Ruochen Jiao ⋅ Junze Liu ⋅ Kun Qian ⋅ Yuxin Tang ⋅ Ran Xue ⋅ Houyu Zhang ⋅ Qingjun Cui ⋅ Yufan Guo ⋅ Dakuo Wang
Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated Penalty
Zewei Yu ⋅ Lirong Gao ⋅ Yuke Zhu ⋅ Bo Zheng ⋅ Junbo Zhao ⋅ Sheng Guo ⋅ Haobo Wang
Scaling Goal-conditioned Reinforcement Learning with Multistep Quasimetric Distances
Bill Zheng ⋅ Vivek Myers ⋅ Benjamin Eysenbach ⋅ Sergey Levine
Robust Optimization for Mitigating Reward Hacking with Correlated Proxies
Zixuan Liu ⋅ Xiaolin Sun ⋅ Zizhan Zheng
Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning
Marco Jiralerspong ⋅ Esther Derman ⋅ Danilo Vucetic ⋅ Nikolay Malkin ⋅ Bilun Sun ⋅ Tianyu Zhang ⋅ Pierre-Luc Bacon ⋅ Gauthier Gidel
Toward Efficient Exploration by Large Language Model Agents
Dilip Arumugam ⋅ Thomas L. Griffiths
SWE-RM: Execution-free Feedback for Software Engineering Agents
KaShun SHUM ⋅ Binyuan Hui ⋅ Jiawei Chen ⋅ Lei Zhang ⋅ X. W. ⋅ Jiaxi Yang ⋅ Yuzhen Huang ⋅ Junyang Lin ⋅ Junxian He
Predictive CVaR Q-learning
Ju-Hyun Kim ⋅ Seungki Min
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
Zhuoran Jin ⋅ Hongbang Yuan ⋅ Kejian Zhu ⋅ Jiachun Li ⋅ Pengfei Cao ⋅ Yubo Chen ⋅ Kang Liu ⋅ Jun Zhao
Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends
Chaorui Yao ⋅ Yanxi Chen ⋅ Yuchang Sun ⋅ Yushuo Chen ⋅ Wenhao Zhang ⋅ Xuchen Pan ⋅ Yaliang Li ⋅ Bolin Ding
Meta-RL Induces Exploration in Language Agents
Yulun Jiang ⋅ Liangze Jiang ⋅ Damien Teney ⋅ Michael Moor ⋅ Maria Brbic
Aegis: Automated Error Generation and Attribution for Multi-Agent Systems
Fanqi Kong ⋅ Ruijie Zhang ⋅ Huaxiao Yin ⋅ Guibin Zhang ⋅ Xiaofei Zhang ⋅ Ziang Chen ⋅ Zhaowei Zhang ⋅ Xiaoyuan Zhang ⋅ Song-Chun Zhu ⋅ Xue Feng
Fracture-GS: Dynamic Fracture Simulation with Physics-Integrated Gaussian Splatting
Xiaogang Wang ⋅ Hongyu Wu ⋅ Wenfeng Song ⋅ Kai Xu
DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
Yixuan Weng ⋅ Minjun Zhu ⋅ Qiujie Xie ⋅ QiYao Sun ⋅ Zhen Lin ⋅ Sifan Liu ⋅ Yue Zhang
TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
Jiaru Zou ⋅ Soumya Roy ⋅ Vinay Verma ⋅ Ziyi Wang ⋅ David Wipf ⋅ Pan Lu ⋅ Sumit Negi ⋅ James Y Zou ⋅ Jingrui He
Neural Optimal Transport Meets Multivariate Conformal Prediction
Vladimir Kondratyev ⋅ Alexander Fishkov ⋅ Mahmoud Hegazy ⋅ Nikita Kotelevskii ⋅ Rémi Flamary ⋅ Maxim Panov ⋅ Eric Moulines
ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
Zhaoyang Liu ⋅ JingJing Xie ⋅ Zichen Ding ⋅ Zehao Li ⋅ Bowen Yang ⋅ Zhenyu Wu ⋅ Xuehui Wang ⋅ Qiushi Sun ⋅ Shi Liu ⋅ Weiyun Wang ⋅ Shenglong Ye ⋅ Qingyun Li ⋅ Zeyue Tian ⋅ Gen Luo ⋅ Xiangyu Yue ⋅ Biqing Qi ⋅ Kai Chen ⋅ Bowen Zhou ⋅ Yu Qiao ⋅ Qifeng Chen ⋅ Wenhai Wang
What matters for Representation Alignment: Global Information or Spatial Structure?
Jaskirat Singh ⋅ Xingjian Leng ⋅ Zongze Wu ⋅ Liang Zheng ⋅ Richard Zhang ⋅ Eli Shechtman ⋅ Saining Xie
Kevin: Multi-Turn RL for Generating CUDA Kernels
Carlo Baronio ⋅ Pietro Marsella ⋅ Ben Pan ⋅ Simon Guo ⋅ Silas Alberti
Learning to Reason via Mixture-of-Thought for Logical Reasoning
Tong Zheng ⋅ Lichang Chen ⋅ Sophia Han ⋅ R. Thomas McCoy ⋅ Heng Huang
PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits
Loka Li ⋅ Wong Kang ⋅ Minghao Fu ⋅ Guangyi Chen ⋅ Zhenhao Chen ⋅ Gongxu Luo ⋅ Yuewen Sun ⋅ Salman Khan ⋅ Peter Spirtes ⋅ Kun Zhang
FormalML: A Benchmark for Evaluating Formal Subgoal Completion in Machine Learning Theory
Xiao-Wen Yang ⋅ Zihao Zhang ⋅ Jianuo Cao ⋅ Zhi Zhou ⋅ Zenan Li ⋅ Lan-Zhe Guo ⋅ Yuan Yao ⋅ Taolue Chen ⋅ Yu-Feng Li ⋅ Xiaoxing Ma
Mobile-GS: Real-time Gaussian Splatting for Mobile Devices
Xiaobiao Du ⋅ Yida Wang ⋅ Kun Zhan ⋅ Xin Yu
TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems
Christoph Minixhofer ⋅ Ondrej Klejch ⋅ Peter Bell
Weak-to-Strong Diffusion with Reflection
Lichen Bai ⋅ Masashi Sugiyama ⋅ Zeke Xie
Beyond Hearing: Learning Task-Agnostic ExG Representations from Earphones via Physiology-Informed Tokenization
Hyungjun Yoon ⋅ Seungjoo Lee ⋅ Yu Wu ⋅ XiaoMeng Chen ⋅ Taiting Lu ⋅ Freddy Liu ⋅ Taeckyung Lee ⋅ Hyeongheon Cha ⋅ Haochen Zhao ⋅ Gaoteng Zhao ⋅ Dongyao Chen ⋅ Cecilia Mascolo ⋅ Sung-Ju Lee ⋅ Lili Qiu
Probing to Refine: Reinforcement Distillation of LLM Reasoners via Explanatory Inversion
Zhen Tan ⋅ Chengshuai Zhao ⋅ Song Wang ⋅ Jundong Li ⋅ Tianlong Chen ⋅ huan liu
Computational Bottlenecks for Denoising Diffusions
Viet Vu ⋅ Andrea Montanari
An Information-Theoretic Parameter-Free Bayesian Framework for Probing Labeled Dependency Trees from Attention Score
Hongxu Liu ⋅ Jing Ma ⋅ Xiaojie Wang ⋅ Caixia YUAN ⋅ Fangxiang Feng
Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
Thomas Fel ⋅ Binxu Wang ⋅ Michael Lepori ⋅ Matthew Kowal ⋅ Andrew Lee ⋅ Randall Balestriero ⋅ Sonia Joseph ⋅ Ekdeep Singh Lubana ⋅ Talia Konkle ⋅ Demba Ba ⋅ Martin Wattenberg
MLE-Smith: Scaling MLE Tasks with Automated Multi-agent Pipeline
Rushi Qiang ⋅ Yuchen Zhuang ⋅ Anikait Singh ⋅ Percy Liang ⋅ Chao Zhang ⋅ Sherry Yang ⋅ Bo Dai
Not All Documents Are What You Need for Extracting Instruction Tuning Data
Chi Zhang ⋅ Huaping Zhong ⋅ Hongtao Li ⋅ Chengliang Chai ⋅ Hongjiawei ⋅ Yu-Ping Wang ⋅ Yuhao Deng ⋅ Jiacheng Wang ⋅ Yizhou Yan ⋅ Qiu Jiantao ⋅ Conghui He ⋅ Lei Cao
MATRIX: Mask Track Alignment for Interaction-aware Video Generation
Siyoon Jin ⋅ seongchan kim ⋅ Jae Lee ⋅ Dahyun Chung ⋅ Hyunwook Choi ⋅ Jisu Nam ⋅ Jiyoung Kim ⋅ Seungryong Kim
Reward Is Enough: LLMs Are In-Context Reinforcement Learners
Kefan Song ⋅ Amir Moeini ⋅ Peng Wang ⋅ Lei Gong ⋅ Rohan Chandra ⋅ Shangtong Zhang ⋅ Yanjun Qi
Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber Problem
Viet-Hoang Tran ⋅ Thanh Q. Tran ⋅ Thanh Chu ⋅ Trung-Khang Tran ⋅ Duy-Tung Pham ⋅ Tam Le ⋅ Tan Nguyen
FAPO: Flawed-Aware Policy Optimization for Efficient and Reliable Reasoning
Yuyang Ding ⋅ Chi Zhang ⋅ Juntao Li ⋅ Haibin Lin ⋅ Xin Liu ⋅ Min Zhang
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
xiaoya li ⋅ Xiaofei Sun ⋅ Albert Wang ⋅ Jiwei Li ⋅ Chris Shum
Advancing Complex Video Object Segmentation via Progressive Concept Construction
Zhixiong Zhang ⋅ Shuangrui Ding ⋅ Xiaoyi Dong ⋅ Songxin He ⋅ Jianfan Lin ⋅ Junsong Tang ⋅ Yuhang Zang ⋅ Yuhang Cao ⋅ Dahua Lin ⋅ Jiaqi Wang
Discrete Diffusion Trajectory Alignment via Stepwise Decomposition
Jiaqi Han ⋅ Austin Wang ⋅ Minkai Xu ⋅ Wenda Chu ⋅ Meihua Dang ⋅ Haotian Ye ⋅ Huayu Chen ⋅ Yisong Yue ⋅ Stefano Ermon
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
Pengcheng Jiang ⋅ Lang Cao ⋅ Ruike Zhu ⋅ Minhao Jiang ⋅ Yunyi Zhang ⋅ Jiaming Shen ⋅ Jimeng Sun ⋅ Jiawei Han
Mixed-Curvature Tree-Sliced Wasserstein Distance
Duy-Tung Pham ⋅ Viet-Hoang Tran ⋅ Thieu Vo ⋅ Tan Nguyen
Text2Interact: High-Fidelity and Diverse Text-to-Two-Person Interaction Generation
Qingxuan Wu ⋅ Zhiyang Dou ⋅ chuan guo ⋅ Yiming Huang ⋅ Qiao Feng ⋅ Bing Zhou ⋅ Jian Wang ⋅ Lingjie Liu
On the Convergence of Two-Layer Kolmogorov-Arnold Networks with First-Layer Training
Seyed Mohammad Eshtehardian ⋅ Mohammad Hossein Yassaee ⋅ Babak HosseinKhalaj
Pursuing Minimal Sufficiency in Spatial Reasoning
Yejie Guo ⋅ Yunzhong Hou ⋅ Wufei Ma ⋅ Meng Tang ⋅ Ming-Hsuan Yang
UIS-Digger: Towards Comprehensive Research Agent Systems for Real-world Unindexed Information Seeking
Chang Liu ⋅ Chuqiao Kuang ⋅ Tianyi Zhuang ⋅ Yuxin Cheng ⋅ Huichi Zhou ⋅ Xiaoguang Li ⋅ Lifeng Shang
EXPO: Stable Reinforcement Learning with Expressive Policies
Perry Dong ⋅ Qiyang Li ⋅ Dorsa Sadigh ⋅ Chelsea Finn
GoT-R1: Unleashing Reasoning Capability of Autoregressive Visual Generation with Reinforcement Learning
Chengqi Duan ⋅ Rongyao Fang ⋅ Yuqing Wang ⋅ Kun Wang ⋅ Linjiang Huang ⋅ Xingyu Zeng ⋅ Hongsheng Li ⋅ Xihui Liu
FREAK: A Fine-grained Hallucination Evaluation Benchmark for Advanced MLLMs
Zhihan Yin ⋅ Jianxin Liang ⋅ Yueqian Wang ⋅ Yao Yifeng ⋅ Huishuai Zhang ⋅ Dongyan Zhao
Towards a Theoretical Understanding of In-context Learning: Stability and Non-I.I.D Generalisation
Yingjie Wang ⋅ Yutian Zhou ⋅ Shi Fu ⋅ Yuzhu Chen ⋅ Yongcheng Jing ⋅ Leszek Rutkowski ⋅ Dacheng Tao
SigLIP-HD by Fine-to-Coarse Supervision
Lihe Yang ⋅ Zhen Zhao ⋅ Hengshuang Zhao
Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores
Chunshu Wu ⋅ Ruibing Song ⋅ Sushant Kondguli ⋅ Tony Geng ⋅ Ang Li
Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
Zeyuan Liu ⋅ Jeonghye Kim ⋅ Xufang Luo ⋅ Dongsheng Li ⋅ Yuqing Yang
Market Games for Generative Models: Equilibria, Welfare, and Strategic Entry
Xiukun Wei ⋅ Min Shi ⋅ Xueru Zhang
MolecularIQ: Characterizing Chemical Reasoning Capabilities Through Symbolic Verification on Molecular Graphs
Christoph Bartmann ⋅ Johannes Schimunek ⋅ Mykyta Ielanskyi ⋅ Philipp Seidl ⋅ Günter Klambauer ⋅ Sohvi Luukkonen
MATH-Beyond: A Benchmark for RL to Expand Beyond the Base Model
Prasanna Mayilvahanan ⋅ Ricardo Dominguez-Olmedo ⋅ Thaddäus Wiedemer ⋅ Wieland Brendel
The Matthew Effect of AI Programming Assistants: A Hidden Bias in Software Evolution
Fei Gu ⋅ Zi Liang ⋅ Jiahao MA ⋅ Hongzong LI
Falcon: Fast Proximal Linearization of Normalized Cuts for Unsupervised Image Segmentation
Xiao Zhang ⋅ Xiangyu Han ⋅ Xiwen Lai ⋅ Yao Sun ⋅ Pei Zhang ⋅ Xia Liu ⋅ Konrad P Kording
SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors
Tiancheng Hu ⋅ Joachim Baumann ⋅ Lorenzo Lupo ⋅ Nigel Collier ⋅ Dirk Hovy ⋅ Paul Röttger
IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring
Xuan Cui ⋅ HuiYue Li ⋅ Run Zeng ⋅ Yunfei Zhao ⋅ Jinrui Qian ⋅ Wei Duan ⋅ Bo Liu ⋅ Zhanpeng Zhou
High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning
Tim Franzmeyer ⋅ Archie Sravankumar ⋅ Lijuan Liu ⋅ Yuning Mao ⋅ Rui Hou ⋅ Sinong Wang ⋅ Jakob Foerster ⋅ Luke Zettlemoyer ⋅ Madian Khabsa
Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation
Xingyu Zhu ⋅ Kesen Zhao ⋅ Liang Yi ⋅ Shuo Wang ⋅ Zhicai Wang ⋅ Beier Zhu ⋅ Hanwang Zhang ⋅ Xiangnan He
Learning from Label Proportions via Proportional Value Classification
Tianhao Ma ⋅ Wei Wang ⋅ Ximing Li ⋅ Gang Niu ⋅ Masashi Sugiyama
Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs
Zhining Liu ⋅ Ziyi Chen ⋅ Hui Liu ⋅ Chen Luo ⋅ Xianfeng Tang ⋅ Suhang Wang ⋅ Jingying Zeng ⋅ Zhenwei Dai ⋅ Zhan Shi ⋅ Tianxin Wei ⋅ Hanqing Lu ⋅ Benoit Dumoulin ⋅ Hanghang Tong
Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set
Heyang Zhao ⋅ Tianyuan Jin ⋅ Weixin Wang ⋅ Vincent Tan ⋅ Pan Xu ⋅ Quanquan Gu
Householder-Diagonalized Linear Attention (HDLA): Utilizing Enhanced Decay Mechanism for Efficient Sequence Modeling
Jiefu Zhang ⋅ Qin Zhen ⋅ Jiabo Tong ⋅ Shijie Mei ⋅ Jiakui Hu ⋅ Yuqi Pan ⋅ Anjie Hu ⋅ Man Yao ⋅ Bo XU ⋅ Guoqi Li
Mean-Field Neural Differential Equations: A Game-Theoretic Approach to Sequence Prediction
Sungwoo Park ⋅ Byungseung Kong
Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers
Jinlin Liu ⋅ Wei Chen ⋅ Xiaojin Zhang
VibeVoice: Expressive Podcast Generation with Next-Token Diffusion
Zhiliang Peng ⋅ Jianwei Yu ⋅ Wenhui Wang ⋅ Yaoyao Chang ⋅ Yutao Sun ⋅ Li Dong ⋅ Yi Zhu ⋅ Weijiang Xu ⋅ Hangbo Bao ⋅ Zehua Wang ⋅ Shaohan Huang ⋅ Yan Xia ⋅ Furu Wei
ToolTree: Efficient LLM Tool Planning via Dual-Feedback Monte Carlo Tree Search and Bidirectional Pruning
Shuo Yang ⋅ Caren Han ⋅ Yihao Ding ⋅ Shuhe Wang ⋅ Eduard H Hovy
From Pixels to Words -- Towards Native Vision-Language Primitives at Scale
Haiwen Diao ⋅ Mingxuan Li ⋅ Silei Wu ⋅ Linjun Dai ⋅ Xiaohua Wang ⋅ Hanming Deng ⋅ Lewei Lu ⋅ Dahua Lin ⋅ Ziwei Liu
Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought
Guijin Son ⋅ Donghun Yang ⋅ Hitesh Laxmichand Patel ⋅ Amit Agarwal ⋅ Hyunwoo Ko ⋅ Chanuk lim ⋅ Srikant Panda ⋅ Minhyuk Kim ⋅ Nikunj drolia ⋅ Dasol Choi ⋅ Kyong-Ha Lee ⋅ Youngjae Yu
Learning to Play Multi-Follower Bayesian Stackelberg Games
Gerson Personnat ⋅ Tao Lin ⋅ Safwan Hossain ⋅ David Parkes
Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization
Junming Yang ⋅ Ning Xu ⋅ Biao Liu ⋅ Shiqi Qiao ⋅ Xin Geng
JailNewsBench: Multi-Lingual and Regional Benchmark for Fake News Generation under Jailbreak Attacks
Masahiro Kaneko ⋅ Ayana Niwa ⋅ Timothy Baldwin
SIM-CoT: Supervised Implicit Chain-of-Thought
Xilin Wei ⋅ Xiaoran Liu ⋅ Yuhang Zang ⋅ Xiaoyi Dong ⋅ Yuhang Cao ⋅ Jiaqi Wang ⋅ Xipeng Qiu ⋅ Dahua Lin
AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations
Minjun Zhu ⋅ Zhen Lin ⋅ Yixuan Weng ⋅ Panzhong Lu ⋅ Qiujie Xie ⋅ Yifan Wei ⋅ Sifan Liu ⋅ QiYao Sun ⋅ Yue Zhang
Measuring Uncertainty Calibration
Kamil Ciosek ⋅ Nicolò Felicioni ⋅ Sina Ghiassian ⋅ Juan Elenter ⋅ Francesco Tonolini ⋅ David Gustafsson ⋅ Eva Garcia-Martin ⋅ Carmen Gonzalez ⋅ Raphaëlle Bertrand-Lalo
Visual Prompt-Agnostic Evolution
Junze Wang ⋅ Lei Fan ⋅ Dezheng Zhang ⋅ Weipeng Jing ⋅ Donglin Di ⋅ Yang Song ⋅ Sidong Liu ⋅ Cong Cong
Point-MoE: Large-Scale Multi-Dataset Training with Mixture-of-Experts for 3D Semantic Segmentation
Xuweiyi Chen ⋅ Wentao Zhou ⋅ Aruni RoyChowdhury ⋅ Zezhou Cheng
Fantastic Pretraining Optimizers and Where to Find Them
Kaiyue Wen ⋅ David Hall ⋅ Tengyu Ma ⋅ Percy Liang
Cyber-Zero: Training Cybersecurity Agents without Runtime
Terry Yue Zhuo ⋅ Dingmin Wang ⋅ Hantian Ding ⋅ Varun Kumar ⋅ Zijian Wang
Distributionally Robust Linear Regression with Block Lewis Weights
Naren Sarayu Manoj ⋅ Kumar Kshitij Patel
Don't Look Up (Every Token): Escaping Quadratic Complexity via Geometric Patterns and Algorithms
Aryan Sood ⋅ Tanvi Sharma ⋅ Vansh Agrawal
Simplex Constrained Sparse Optimization via Tail Screening
Peng Chen ⋅ Jin Zhu ⋅ Junxian Zhu ⋅ Xueqin Wang
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Social

X-informed AI

Sangyoon Bae ⋅ Mamta Saini
4:15 PM - 5:45 PM

Scientific ML is more than applying ML to science — it's about letting domain structure shape the model itself. In this social, we bring together researchers working across domains (neuroscience, PDEs, physics simulations, and beyond) to discuss: What is the urgent 'X' in your X-informed AI? How do you identify the right inductive bias? How do we build a community that supports this? Come share how your domain shapes your models.

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Social

Cooperation in Decentralized Multi-Agent Systems

Cecilia Tilli ⋅ Samuele Marro
4:15 PM - 5:45 PM

As AI agents increasingly operate in shared environments — negotiating, transacting, and making joint decisions — questions of coordination and cooperation become inseparable from questions of system design. How do we incentivize cooperation among autonomous agents when no single party controls the system? What coordination protocols, commitment devices, and oversight mechanisms work in distributed settings? How do we prevent collusion and ensure robustness as agent networks scale?

This social is hosted by Cooperative AI Foundation and The Institute for Decentralized AI as a gathering for researchers working on multi-agent systems, mechanism design, AI safety, distributed systems, and related areas who are interested in how cooperative and decentralized approaches to AI intersect and inform each other. Drinks will be provided.

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Social
4:15 PM - 5:45 PM

Benchmark contamination is no longer a theoretical concern. As frontier models are trained on open-web data, public test sets are routinely absorbed into pre-training corpora — and beyond passive contamination, labs are known to actively optimize against known benchmarks and selectively report favorable results. When a model claims state-of-the-art on a public leaderboard, it is increasingly unclear whether that reflects genuine generalization or familiarity with the test. Private-only benchmarks — never released publicly, evaluated under controlled conditions, and continuously refreshed — offer a structural solution. If a model cannot train against a benchmark it has never seen, contamination becomes impossible by design. Built across capability families rather than isolated skills, such benchmarks can also surface cross-domain failure modes that narrow public evaluations miss entirely. This social will examine what private, holistic evaluation infrastructure could look like in practice, with short talks from practitioners followed by open discussion on what it would take for the community to coalesce around shared private evaluation standards.

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Social

Researchers Using AI to Research AI Research

Autumn Toney ⋅ Ryan Wails
4:15 PM - 5:45 PM

More simply put: LLMs for Metascience. This social is focused on facilitating conversations from industry, academia, and government about how we are all using AI to understand the current landscape of AI research. What’s coming at us the fastest? What are the problems we’ve effectively “solved” ? Where can existing methods be applied to support progress in overlooked areas?

This is meant to be a relaxed, discussion-driven space. We’re excited for a cross-sector exchange where people can share tools, workflows, rough ideas, and open questions, as well as the challenges of using AI systems to reason about science itself. Input from those who conduct, fund, and review research will be especially valuable in shaping a more complete picture of the different components in the AI research landscape.

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Social

Queer in AI Social

Nikolay Malkin
4:15 PM - 5:45 PM

This social is an informal community gathering organised by Queer in AI to foster connection, visibility, and mutual support among LGBTQ+ researchers and allies in AI/ML. The event provides a welcoming space for queer scientists, students, and practitioners to meet, share experiences, and build professional and personal networks within the broader research community.

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Social

Breaking Silos – Open Community for AI x Science

Indra Priyadarsini S ⋅ N. M. Anoop Krishnan
4:15 PM - 5:45 PM

AI for Science is rapidly emerging as a key area where machine learning can accelerate discovery in domains such as materials science, biology, physics, and mathematics. Progress in this space increasingly depends on collaboration between machine learning researchers and domain scientists, as well as open ecosystems of data, models, and tools. This socials aims to create an informal space at ICLR for researchers interested in AI for Science and open collaboration to connect, exchange ideas, and build new collaborations.

The socials will bring together participants from several ICLR workshops related to AI for Science, including AI4Mat, FM4Science, AI&PDE, and Sci4DL, and foster interaction across these communities. The session will focus on practical challenges and opportunities in building open scientific ecosystems, including open datasets and benchmarks, open-source tools and foundation models for science, cross-disciplinary collaboration, and community-driven initiatives.

The format will emphasize interaction and networking with brief opening remarks, structured speed networking, themed small-group discussions, and a short open panel conversation where participants can share insights and identify opportunities for collaboration. The social will also provide a welcoming environment for students and early-career researchers to engage with both academic and industry researchers working on AI-driven scientific discovery

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Social
4:15 PM - 5:45 PM

World models have emerged as a unifying thread across video generation, model-based reinforcement learning, and robotic planning — yet the communities working on these problems often don't overlap at conferences. This Social brings together researchers working on learned simulators, video prediction, world models for decision-making, and sim-to-real transfer for an informal, discussion-first session.

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Test Of Time
5:45 PM - 6:45 PM