ICLR 2026 Thursday 04/23

Timezone: America/Sao_Paulo

Full Schedule Thu 4/23 Fri 4/24 Sat 4/25 Sun 4/26 Mon 4/27

Registration Desk

Registration Desk 1

7:30 AM - 5:30 PM

Invited Talk

The Challenges of Human-Centered AI and Robotics: What We Want, Need, and are Getting From Human-Machine Interaction

Maja Matarić

9:00 AM - 10:00 AM

Language-based AI is now ubiquitous, and user expectations for intelligent machines are scaling along with it: we expect machines to understand us, predict our needs and wants, do what we enjoy and prefer, and adapt as we change our moods and minds, learn, grow, and age. Physical AI, in the form of robotics, is the next major AI challenge, and it is not ready to leap into our daily lives yet. While massive investment is focused on functional behavior of humanoid robots (perceiving the world, moving around, and manipulating objects), human-robot interaction (HRI) is relegated to an afterthought. It is assumed that once a robot can move around and do things, it will be useful and wanted, yet over 25 years of research in HRI tells us otherwise. While the needs for human-centered services continue to grow, research and development is minimal. This talk will discuss how bringing together robotics, AI, and machine learning for long-term user modeling, real-time multimodal behavioral signal processing, and affective computing is enabling machines to understand, interact, and adapt to users’ specific and ever-changing needs. We will overview methods and challenges of sparse and noisy heterogeneous, multi-modal, personal interaction data and of creating expressive agent and robot behavior toward understanding, coaching, motivating, and supporting a wide variety of user populations across the age span (infants, children, adults, elderly), ability span (typically developing, autism, anxiety, stroke, dementia), contexts (schools, therapy centers, homes), and deployment durations (from weeks to 6 months) through socially assistive robotics. We will discuss the challenges of understanding what we humans want from interactions with machines vs. what we need vs. what we are getting, and how those distinctions are shaping the future of not just AI and ML but society at large.

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Speaker Bio

Maja Matarić is a Chaired and Distinguished Professor of Computer Science, (with appointments in Neuroscience and Pediatrics) at the University of Southern California, and Principal Scientist at Google DeepMind. Her PhD and MS in Computer Science and AI are from MIT, and her BS in Computer Science is from the University of Kansas. She is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, fellow of AAAS, IEEE, AAAI, and ACM, recipient of the Presidential Award for Excellence in Science, Mathematics & Engineering Mentoring (from President Obama), Anita Borg Institute Women of Vision, ACM Athena Lecture, ACM Eugene Lawler, Mass Robotics Medal, NSF Career, MIT TR35 Innovation, and IEEE RAS Early Career Awards, and authored "The Robotics Primer" (MIT Press). She led the USC Viterbi K-12 STEM Center and actively mentors and empowers K-12 students, women, and other groups toward pursuing STEM careers. A pioneer of the field of socially assistive robotics, her research is developing human-machine interaction methods for personalized support for users with challenges, including autism, stroke, Alzheimer’s disease and other forms of dementia, anxiety, and other major health and wellness challenges. Her research group has conducted many of the first and still largest real-world studies in complex environments--including schools, nursing homes, retirement centers, and homes—to produce deep insights into complex human-machine interaction challenges with real-world users in situ.

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Oral

Oral Session 1A LLMs and Reasoning

10:30 AM - 12:00 PM

6 Events in this session

Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling

Shuyang Jiang ⋅ Yusheng Liao ⋅ Ya Zhang ⋅ Yanfeng Wang ⋅ Yu Wang

Reducing Belief Deviation in Reinforcement Learning for Active Reasoning of LLM Agents

Deyu Zou ⋅ Yongqiang Chen ⋅ Jianxiang Wang ⋅ Garry YANG ⋅ Mufei Li ⋅ Qing Da ⋅ James Cheng ⋅ Pan Li ⋅ Yu Gong

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

Hongli Yu ⋅ Tinghong Chen ⋅ Jiangtao Feng ⋅ Jiangjie Chen ⋅ Weinan Dai ⋅ Qiying Yu ⋅ Ya-Qin Zhang ⋅ Wei-Ying Ma ⋅ Jingjing Liu ⋅ Mingxuan Wang ⋅ Hao Zhou

Verifying Chain-of-Thought Reasoning via Its Computational Graph

Zheng Zhao ⋅ Yeskendir Koishekenov ⋅ Xianjun Yang ⋅ Naila Murray ⋅ Nicola Cancedda

Revela: Dense Retriever Learning via Language Modeling

Fengyu Cai ⋅ Tong Chen ⋅ Xinran Zhao ⋅ Sihao Chen ⋅ Hongming Zhang ⋅ Sherry Wu ⋅ Iryna Gurevych ⋅ Heinz Koeppl

RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking Format

Zhehao Huang ⋅ Yuhang Liu ⋅ Baijiong Lin ⋅ Yixin Lou ⋅ Zhengbao He ⋅ Hanling Tian ⋅ Tao Li ⋅ Xiaolin Huang

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Oral

Oral Session 1B Generative models I

10:30 AM - 12:00 PM

7 Events in this session

Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer

Tao Ren ⋅ Zishi Zhang ⋅ Jinyang Jiang ⋅ Zehao Li ⋅ Shentao Qin ⋅ Yi Zheng ⋅ Guanghao Li ⋅ Qianyou Sun ⋅ Yan Li ⋅ Jiafeng Liang ⋅ Xinping Li ⋅ Yijie Peng

Improving Diffusion Models for Class-imbalanced Training Data via Capacity Manipulation

Feng Hong ⋅ Jiangchao Yao ⋅ Yifei Shen ⋅ Dongsheng Li ⋅ Ya Zhang ⋅ Yanfeng Wang

Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers

Shikang Zheng ⋅ Guantao Chen ⋅ Qinming Zhou ⋅ Yuqi Lin ⋅ Lixuan He ⋅ Chang Zou ⋅ Peiliang Cai ⋅ Jiacheng Liu ⋅ Linfeng Zhang

DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Kaiwen Zheng ⋅ Huayu Chen ⋅ Haotian Ye ⋅ Haoxiang Wang ⋅ Qinsheng Zhang ⋅ Kai Jiang ⋅ Hang Su ⋅ Stefano Ermon ⋅ Jun Zhu ⋅ Ming-Yu Liu

Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)

Nikita Kornilov ⋅ David Li ⋅ Tikhon Mavrin ⋅ Aleksei Leonov ⋅ Nikita Gushchin ⋅ Evgeny Burnaev ⋅ Iaroslav Koshelev ⋅ Aleksandr Korotin

GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models

Peter Holderrieth ⋅ Uriel Singer ⋅ Tommi Jaakkola ⋅ Ricky T. Q. Chen ⋅ Yaron Lipman ⋅ Brian Karrer

Neon: Negative Extrapolation From Self-Training Improves Image Generation

sina alemohammad ⋅ Zhangyang Wang ⋅ Richard Baraniuk

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Oral

Oral Session 1C Code generation and ML Systems

10:30 AM - 12:00 PM

5 Events in this session

Mastering Sparse CUDA Generation through Pretrained Models and Deep Reinforcement Learning

Yaoyu Wang ⋅ Hankun Dai ⋅ Zhidong Yang ⋅ Junmin Xiao ⋅ Guangming Tan

RefineStat: Efficient Exploration for Probabilistic Program Synthesis

Madhav Kanda ⋅ Shubham Dipak Ugare ⋅ Sasa Misailovic

Huxley-G\"odel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine

Wenyi Wang ⋅ Piotr Piękos ⋅ Li Nanbo ⋅ Firas Laakom ⋅ Yimeng Chen ⋅ Mateusz Ostaszewski ⋅ Mingchen Zhuge ⋅ Jürgen Schmidhuber

TileLang: Bridge Programmability and Performance in Modern Neural Kernels

Lei Wang ⋅ Yu Cheng ⋅ Yining Shi ⋅ Zhiwen Mo ⋅ Zhengju Tang ⋅ Wenhao Xie ⋅ Tong Wu ⋅ Lingxiao Ma ⋅ Yuqing Xia ⋅ Jilong Xue ⋅ Fan Yang ⋅ Zhi Yang

TabStruct: Measuring Structural Fidelity of Tabular Data

Xiangjian Jiang ⋅ Nikola Simidjievski ⋅ Mateja Jamnik

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Oral

Oral Session 1D Learning on graphs

10:30 AM - 12:00 PM

7 Events in this session

One for Two: A Unified Framework for Imbalanced Graph Classification via Dynamic Balanced Prototype

Guanjun Wang ⋅ Binwu Wang ⋅ Jiaming Ma ⋅ Zhengyang Zhou ⋅ Pengkun Wang ⋅ Xu Wang ⋅ Yang Wang

Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering

Wei Ju ⋅ Siyu Yi ⋅ Kangjie Zheng ⋅ Yifan Wang ⋅ Ziyue Qiao ⋅ Li Shen ⋅ Yongdao Zhou ⋅ Xiaochun Cao ⋅ Jiancheng Lv

Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference

Ben Finkelshtein ⋅ Silviu Cucerzan ⋅ Sujay Kumar Jauhar ⋅ Ryen White

Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models

Li Sun ⋅ Zhenhao Huang ⋅ Silei Chen ⋅ Lanxu Yang ⋅ Junda Ye ⋅ Sen Su ⋅ Philip Yu

Modality-free Graph In-context Alignment

Wei Zhuo ⋅ Siqiang Luo

Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment

Haobin Li ⋅ Yijie Lin ⋅ Peng Hu ⋅ Mouxing Yang ⋅ Xi Peng

Exchangeability of GNN Representations with Applications to Graph Retrieval

Kartik Nair ⋅ Indradyumna Roy ⋅ Soumen Chakrabarti ⋅ Anirban Dasgupta ⋅ Abir De

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Oral

Oral Session 1E Learning dynamics and optimization I

10:30 AM - 12:00 PM

7 Events in this session

Information Shapes Koopman Representation

Xiaoyuan Cheng ⋅ Wenxuan Yuan ⋅ Yiming Yang ⋅ Yuanzhao Zhang ⋅ Sibo Cheng ⋅ Yi He ⋅ Zhuo Sun

On The Surprising Effectiveness of a Single Global Merging in Decentralized Learning

Tongtian Zhu ⋅ Tianyu Zhang ⋅ Mingze Wang ⋅ Zhanpeng Zhou ⋅ Can Wang

Non-Convex Federated Optimization under Cost-Aware Client Selection

Xiaowen Jiang ⋅ Anton Rodomanov ⋅ Sebastian Stich

On the Wasserstein Geodesic Principal Component Analysis of probability measures

Nina Vesseron ⋅ Elsa Cazelles ⋅ Alice Le Brigant ⋅ Klein Thierry

Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data

Guillaume Braun ⋅ Bruno Loureiro ⋅ Minh Ha Quang ⋅ Masaaki Imaizumi

Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport

Harry Amad ⋅ Mihaela van der Schaar

Gaussian certified unlearning in high dimensions: A hypothesis testing approach

Aaradhya Pandey ⋅ Arnab Auddy ⋅ Haolin Zou ⋅ Arian Maleki ⋅ Sanjeev Kulkarni

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Oral

Oral Session 1F Privacy and security

10:30 AM - 12:00 PM

7 Events in this session

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models

Bartłomiej Marek ⋅ Lorenzo Rossi ⋅ Vincent Hanke ⋅ Xun Wang ⋅ Michael Backes ⋅ Franziska Boenisch ⋅ Adam Dziedzic

Invisible Safety Threat: Malicious Finetuning for LLM via Steganography

Guangnian Wan ⋅ Xinyin Ma ⋅ Gongfan Fang ⋅ Xinchao Wang

The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology

Aideen Fay ⋅ Inés García-Redondo ⋅ Qiquan Wang ⋅ Haim Dubossarsky ⋅ Anthea Monod

Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning

Thibaud Gloaguen ⋅ Mark Vero ⋅ Robin Staab ⋅ Martin Vechev

LLM Fingerprinting via Semantically Conditioned Watermarks

Thibaud Gloaguen ⋅ Robin Staab ⋅ Nikola Jovanović ⋅ Martin Vechev

Steering the Herd: A Framework for LLM-based Control of Social Learning

Raghu Arghal ⋅ Kevin He ⋅ Shirin Saeedi Bidokhti ⋅ Saswati Sarkar

Every Language Model Has a Forgery-Resistant Signature

Matthew Finlayson ⋅ Xiang Ren ⋅ Swabha Swayamdipta

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Poster

Poster Session 1 Pavilion 3

10:30 AM - 1:00 PM

473 Events in this session

Influence without Confounding: Causal Discovery from Temporal Data with Long-term Carry-over Effects

Fan Li ⋅ Zixuan Liu ⋅ Yi Zhao ⋅ Qi Tan ⋅ Jinyang Li ⋅ Ke Xu ⋅ Shuihai Hu ⋅ Jingbin Zhou ⋅ TAN Kun

Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks

Songyao Jin ⋅ Biwei Huang

Matching without Group Barrier for Heterogeneous Treatment Effect Estimation

Yuguang Yan ⋅ Haolin Yang ⋅ Shihao Zhang ⋅ Weilin Chen ⋅ Ruichu Cai ⋅ Zhifeng Hao

GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes

Valentyn Melnychuk ⋅ Stefan Feuerriegel

Query-Specific Causal Graph Pruning Under Tiered Knowledge

Yizuo Chen ⋅ Jane Barker

Conditional Independent Component Analysis for Estimating Causal Structure with Latent Variables

Yewei Xia ⋅ Zhengming Chen ⋅ Haoyue Dai ⋅ Fuhong Wang ⋅ Yixin Ren ⋅ Yiqing Li ⋅ Kun Zhang ⋅ Shuigeng Zhou

Multi-Scale Diffusion-Guided Graph Learning with Power-Smoothing Random Walk Contrast for Multi-View Clustering

Feiyang Chen ⋅ Ruiqiang Guo ⋅ Zhibin Gu

Bridging ML and algorithms: comparison of hyperbolic embeddings

Dorota Celińska-Kopczyńska ⋅ Eryk Kopczyński

Boosting Open Set Recognition Performance through Modulated Representation Learning

Amit Kumar Kundu ⋅ Vaishnavi Patil ⋅ Joseph JaJa

Adaptive Width Neural Networks

Federico Errica ⋅ Henrik Christiansen ⋅ Viktor Zaverkin ⋅ Mathias Niepert ⋅ Francesco Alesiani

Cross-Domain Lossy Compression via Rate- and Classification-Constrained Optimal Transport

Nam Nguyen ⋅ Thinh Nguyen ⋅ Bella Bose

Random Controlled Differential Equations

Francesco Piatti ⋅ Thomas Cass ⋅ William Turner

GRACE: Generative Representation Learning via Contrastive Policy Optimization

Jiashuo Sun ⋅ Shixuan Liu ⋅ Zhaochen Su ⋅ Xianrui Zhong ⋅ Pengcheng Jiang ⋅ Bowen Jin ⋅ Peiran Li ⋅ Weijia Shi ⋅ Jiawei Han

TRIDENT: Cross-Domain Trajectory Spatio-Temporal Representation via Distance-Preserving Triplet Learning

Guan-Yi Jhang ⋅ Jeng-Chung Lien ⋅ Yu Hui-Ching ⋅ Hsu-Chao Lai ⋅ Jiun-Long Huang

A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data

Yue Wu ⋅ Jialin Zhao ⋅ Carlo Vittorio Cannistraci

Behavior Learning (BL)

Zhenyao Ma ⋅ Yue Liang ⋅ Dongxu Li

Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis

Xuanzhong Chen ⋅ Zile Qiao ⋅ Guoxin Chen ⋅ Liangcai Su ⋅ Zhen Zhang ⋅ Xinyu Wang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Jingren Zhou ⋅ Yong Jiang ⋅ Ting Chen

Features Emerge as Discrete States: The First Application of SAEs to 3D Representations

Albert Miao ⋅ Chenliang Zhou ⋅ Jiawei Zhou ⋅ Cengiz Oztireli

SupCLAP: Controlling Optimization Trajectory Drift in Audio-Text Contrastive Learning with Support Vector Regularization

Jiehui Luo ⋅ Yuguo Yin ⋅ Yuxin Xie ⋅ Jinghan Ru ⋅ Xianwei Zhuang ⋅ Minghua He ⋅ Aofan Liu ⋅ Zihan Xiong ⋅ Dongchao Yang

Beyond Entity Correlations: Disentangling Event Causal Puzzles in Temporal Knowledge Graphs

Qian Chen ⋅ Jinyu Zhang ⋅ Ling Chen

Learning Unified Representation of 3D Gaussian Splatting

Yuelin Xin ⋅ Yuheng Liu ⋅ Xiaohui Xie ⋅ Xinke Li

Detect, Decide, Unlearn: A Transfer-Aware Framework for Continual Learning

Yiwen Wang ⋅ Diana Benavides-Prado ⋅ Yun Sing Koh

FSD-CAP: Fractional Subgraph Diffusion with Class-Aware Propagation for Graph Feature Imputation

Xin Qiao ⋅ Shijie Sun ⋅ Anqi Dong ⋅ Cong Hua ⋅ Xia Zhao ⋅ Longfei Zhang ⋅ Guangming Zhu ⋅ zhang liang

Learning Robust Intervention Representations with Delta Embeddings

Panagiotis Alimisis ⋅ Christos Diou

UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

Zhibin Lan ⋅ Liqiang Niu ⋅ Fandong Meng ⋅ Jie Zhou ⋅ Jinsong Su

Inferring the Invisible: Neuro-Symbolic Rule Discovery for Missing Value Imputation

Wendi Ren ⋅ Ke Wan ⋅ Junyu Leng ⋅ Shuang Li

KDP: Simplifying Representation Dynamics in Kernel Space

Zeyu Ma ⋅ Wanying Wang ⋅ Guchu Zou ⋅ Mingang Chen ⋅ Jianhong Wu

NeoBERT: A Next Generation BERT

Lola Le Breton · Quentin Fournier · John X. Morris · Mariam El Mezouar · Sarath Chandar

Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation

Minsang Kim ⋅ Seung Baek

Knowledge Distillation as Decontamination? Revisiting the “Data Laundering” Concern in Classification Tasks

Hengyu Luo ⋅ Raúl Vázquez ⋅ Timothee Mickus ⋅ Filip Ginter ⋅ Jörg Tiedemann

DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging

Kotaro Yoshida ⋅ Yuji Naraki ⋅ Takafumi Horie ⋅ Ryotaro Shimizu ⋅ Ioannis Mitliagkas ⋅ Hiroki Naganuma

TokMem: One-Token Procedural Memory for Large Language Models

Zijun Wu ⋅ Yongchang Hao ⋅ Lili Mou

ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models

Raghav Singhal ⋅ Kaustubh Ponkshe ⋅ Rohit Vartak ⋅ Praneeth Vepakomma

Gradient-Based Program Synthesis with Neurally Interpreted Languages

Matthew Macfarlane ⋅ Clem Bonnet ⋅ Herke van Hoof ⋅ Levi Lelis

Beyond Uniformity: Sample and Frequency Meta Weighting for Post-Training Quantization of Diffusion Models

Van Cuong Pham ⋅ Anh Hoang ⋅ Cuong Nguyen ⋅ Trung Le ⋅ Dinh Phung ⋅ Gustavo Carneiro ⋅ Thanh-Toan Do

Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models

Anh Hoang ⋅ Van Cuong Pham ⋅ Trung Le ⋅ Jianfei Cai ⋅ Thanh-Toan Do

Prior-free Tabular Test-time Adaptation

Rundong He ⋅ Jieming Shi

Evaluating GFlowNet from partial episodes for stable and flexible policy-based training

Puhua Niu ⋅ Shili Wu ⋅ Xiaoning Qian

Score-Based Density Estimation from Pairwise Comparisons

Petrus Mikkola ⋅ Luigi Acerbi ⋅ Arto Klami

RNE: plug-and-play diffusion inference-time control and energy-based training

Jiajun He ⋅ José Miguel Hernández Lobato ⋅ Yuanqi Du ⋅ Francisco Vargas

Scalable Random Wavelet Features: Efficient Non-Stationary Kernel Approximation with Convergence Guarantees

Sawan Kumar ⋅ Souvik Chakraborty

CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk

Ilia Azizi ⋅ Juraj Bodik ⋅ Jakob M. Heiss ⋅ Bin Yu

Amortising Inference and Meta-Learning Priors in Neural Networks

Tommy Rochussen ⋅ Vincent Fortuin

AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework

Zihang Zeng ⋅ Jiaquan Zhang ⋅ Pengze Li ⋅ Yuan Qi ⋅ Xi Chen

JAPAN: Joint Adaptive Prediction Areas with Normalising Flow

Eshant English ⋅ Christoph Lippert

Temporal Test-Time Adaptation with State-Space Models

Mona Schirmer · Dan Zhang · Eric Nalisnick

Latent Geometry-Driven Network Automata for Complex Network Dismantling

Thomas Adler ⋅ Marco Grassia ⋅ Ziheng Liao ⋅ Giuseppe Mangioni ⋅ Carlo Vittorio Cannistraci

Supporting High-Stakes Decision Making Through Interactive Preference Elicitation in the Latent Space

Michael Eichelbeck ⋅ Tim Voigt ⋅ Matthias Althoff

Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMs

Xueyan Li ⋅ Guinan Su ⋅ Mrinmaya Sachan ⋅ Jonas Geiping

CoLA: Co-Calibrated Logit Adjustment for Long-Tailed Semi-Supervised Learning

Qian Shao ⋅ Qiyuan Chen ⋅ Jiahe Chen ⋅ Zepeng Li ⋅ Qianqian Tang ⋅ Hongxia Xu ⋅ JIAN Wu

DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS

Yingxu Wang ⋅ Shiqi Fan ⋅ Mengzhu Wang ⋅ Siyang Gao ⋅ Chao Wang ⋅ nan yin

EIP: Weighted Ranking of LLMs by Quantifying Question Difficulty

Xingjian Hu ⋅ Ziqian Zhang ⋅ Yue Huang ⋅ Kai Zhang ⋅ Ruoxi Chen ⋅ Yixin Liu ⋅ Qingsong Wen ⋅ Kaidi Xu ⋅ Xiangliang Zhang ⋅ Neil Gong ⋅ Lichao Sun

Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges

Chen Feng ⋅ Minghe Shen ⋅ Ananth Balashankar ⋅ Carsten Gerner-Beuerle ⋅ Miguel Rodrigues

Train on Validation (ToV): Fast data selection with applications to fine-tuning

Ayush Jain ⋅ Andrea Montanari ⋅ Eren Sasoglu

Enhanced Generative Model Evaluation with Clipped Density and Coverage

Nicolas Salvy ⋅ Hugues Talbot ⋅ Bertrand Thirion

Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data

Xuanyu Chen ⋅ Nan Yang ⋅ Shuai Wang ⋅ Dong Yuan

Pretraining with hierarchical memories: separating long-tail and common knowledge

Hadi Pouransari ⋅ David Grangier ⋅ C Thomas ⋅ Michael Kirchhof ⋅ Oncel Tuzel

SysMoBench: Evaluating AI on Formally Specifying Complex Real-World Systems

Qian Cheng ⋅ Ruize Tang ⋅ Emilie Ma ⋅ Finn Hackett ⋅ Peiyang He ⋅ Yiming Su ⋅ Ivan Beschastnikh ⋅ Yu Huang ⋅ Xiaoxing Ma ⋅ Tianyin Xu

Soft Quality-Diversity Optimization

Saeed Hedayatian ⋅ Stefanos Nikolaidis

Rethinking Continual Learning with Progressive Neural Collapse

Zheng Wang ⋅ Wanhao Yu ⋅ Li Yang ⋅ Sen Lin

VideoJudge: Bootstrapping Enables Scalable Supervision of MLLM-as-a-Judge for Video Understanding

Abdul Waheed ⋅ Zhen Wu ⋅ Dareen Alharthi ⋅ Seungone Kim ⋅ Bhiksha Raj

Random-projection ensemble dimension reduction

Wenxing Zhou ⋅ Timothy Cannings

Entropic Confinement and Mode Connectivity in Overparameterized Neural Networks

Luca Di Carlo ⋅ Chase Goddard ⋅ David J Schwab

Null-Space Filtering for Data-Free Continual Model Merging: Preserving Stability, Promoting Plasticity

Zihuan Qiu ⋅ Lei Wang ⋅ Yang Cao ⋅ Runtong ZHANG ⋅ Bing Su ⋅ Yi Xu ⋅ Fanman Meng ⋅ Linfeng Xu ⋅ Qingbo Wu ⋅ Hongliang Li

LMask: Learn to Solve Constrained Routing Problems with Lazy Masking

Tianyou Li ⋅ Haijun Zou ⋅ JIAYUAN WU ⋅ Zaiwen Wen

Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts

Ya Shen ⋅ Gang Chen ⋅ Hui Ma ⋅ Mengjie Zhang

CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design

Ziyao Huang ⋅ Weiwei Wu ⋅ Kui Wu ⋅ Wei-Bin Lee ⋅ Jianping Wang

Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation

Chengbing Wang ⋅ Yang Zhang ⋅ Wenjie Wang ⋅ Xiaoyan Zhao ⋅ Fuli Feng ⋅ Xiangnan He ⋅ Tat-Seng Chua

SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback

Yaoning Yu ⋅ Ye Yu ⋅ Peiyan Zhang ⋅ Kai Wei ⋅ Haojing Luo ⋅ Haohan Wang

Large Language Model Compression with Global Rank and Sparsity Optimization

Changhai Zhou ⋅ Qian Qiao ⋅ Yuhua Zhou ⋅ Yuxin Wu ⋅ Shichao Weng ⋅ WEIZHONG ZHANG ⋅ Cheng Jin

Lifelong Learning with Behavior Consolidation for Vehicle Routing

Jiyuan Pei ⋅ Yi Mei ⋅ Jialin Liu ⋅ Mengjie Zhang ⋅ Xin Yao

Align-SAM: Seeking Flatter Minima for Better Cross-Subset Alignment

Van-Anh Nguyen ⋅ Mehrtash Harandi ⋅ Thanh-Toan Do ⋅ Linh Ngo Van ⋅ Dinh Phung ⋅ Trung Le

Scalable and Adaptive Trust-Region Learning via Projection Convex Hull

Hongyang Jia ⋅ Qingchun Hou ⋅ Bojun Du ⋅ Xiao Cai ⋅ Ning Zhang ⋅ Chongqing Kang

FrontierCO: Real-World and Large-Scale Evaluation of Machine Learning Solvers for Combinatorial Optimization

Shengyu Feng ⋅ Weiwei Sun ⋅ Shanda Li ⋅ Ameet Talwalkar ⋅ Yiming Yang

Towards Dynamic Interleaving Optimizers

Yile Chen ⋅ Zeyi Wen ⋅ Jian Chen ⋅ Jin Huang

Native Adaptive Solution Expansion for Diffusion-based Combinatorial Optimization

Yu Wang ⋅ Yang Li ⋅ Jiale Ma ⋅ Junchi Yan ⋅ Yi Chang

A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization

Xuan Tang ⋅ Jichu Li ⋅ Difan Zou

DISK: Differentiable Sparse Kernel Complex for Efficient Spatially-Variant Convolution

Zhizhen Wu ⋅ Zhe Cao ⋅ Yuchi Huo

Derandomized Online-to-Non-convex Conversion for Stochastic Weakly Convex Optimization

Fanfan Ji ⋅ Xiaotong Yuan

A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints

Ganzhao Yuan

Riemannian Optimization on Relaxed Indicator Matrix Manifold

Jinghui Yuan ⋅ Xie Fangyuan ⋅ Feiping Nie ⋅ Xuelong Li

Provably Accelerated Imaging with Restarted Inertia and Score-based Image Priors

Marien Renaud ⋅ Julien Hermant ⋅ Deliang Wei ⋅ Yu Sun

Online Inventory Optimization in Non-Stationary Environment

Koji Ichikawa ⋅ Kei Takemura ⋅ Tatsuya Matsuoka

Reducing Contextual Stochastic Bilevel Optimization via Structured Function Approximation

Maxime Bouscary ⋅ Jiawei Zhang ⋅ Saurabh Amin

SiMO: Single-Modality-Operable Multimodal Collaborative Perception

Jiageng Wen ⋅ Shengjie Zhao ⋅ Bing Li ⋅ Jiafeng Huang ⋅ Kenan Ye ⋅ Hao Deng

Proximal Diffusion Neural Sampler

Wei Guo ⋅ Jaemoo Choi ⋅ Yuchen Zhu ⋅ Molei Tao ⋅ Yongxin Chen

Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds

Shaocong Ma ⋅ Heng Huang

Local Entropy Search over Descent Sequences for Bayesian Optimization

David Stenger ⋅ Armin Lindicke ⋅ Alexander von Rohr ⋅ Sebastian Trimpe

LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design

Amir Sadikov

Error Feedback for Muon and Friends

Kaja Gruntkowska ⋅ Alexander Gaponov ⋅ Zhirayr Tovmasyan ⋅ Peter Richtarik

Byzantine-Robust Federated Learning with Learnable Aggregation Weights

Javad Parsa ⋅ Amir Daghestani ⋅ André M. H. Teixeira ⋅ Mikael Johansson

Long-Context Attention Benchmark: From Kernel Efficiency to Distributed Context Parallelism

Tao Bu ⋅ Qiangang Wang ⋅ Bowen Zeng ⋅ Hanwen Sun ⋅ Yunpeng Huang ⋅ Chun Cao ⋅ Jingwei Xu

Composite Optimization with Error Feedback: the Dual Averaging Approach

Yuan Gao ⋅ Anton Rodomanov ⋅ Jeremy Rack ⋅ Sebastian Stich

The Potential of Second-Order Optimization for LLMs: A Study with Full Gauss-Newton

Natalie Abreu ⋅ Nikhil Vyas ⋅ Sham Kakade ⋅ Depen Morwani

Beyond Outliers: A Study of Optimizers Under Quantization

Georgios Vlassis ⋅ Saleh Ashkboos ⋅ Alexandra Volkova ⋅ Torsten Hoefler ⋅ Dan Alistarh

Improved $\ell_{p}$ Regression via Iteratively Reweighted Least Squares

Alina Ene ⋅ Ta Duy Nguyen ⋅ Adrian Vladu

Unveiling the Basin-Like Loss Landscape in Large Language Models

Huanran Chen ⋅ Zeming Wei ⋅ Yao Huang ⋅ Yichi Zhang ⋅ Yinpeng Dong ⋅ Jun Zhu

Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus

Jason Han ⋅ Nicholas DiBrita ⋅ Daniel Leeds ⋅ Jianqiang Li ⋅ Jason Ludmir ⋅ Tirthak Patel

Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension

Wenbo Gong ⋅ Meyer Scetbon ⋅ Chao Ma ⋅ Edward Meeds

HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization

Hongzheng Chen ⋅ Yingheng Wang ⋅ Yaohui Cai ⋅ Hins Hu ⋅ Jiajie Li ⋅ Shirley Huang ⋅ Chenhui Deng ⋅ Rongjian Liang ⋅ Shufeng Kong ⋅ Haoxing Ren ⋅ Samitha Samaranayake ⋅ Carla Gomes ⋅ Zhiru Zhang

vCache: Verified Semantic Prompt Caching

Luis Gaspar Schroeder ⋅ Aditya Desai ⋅ Alejandro Cuadron Lafuente ⋅ Kyle Chu ⋅ Shu Liu ⋅ Mark Zhao ⋅ Stephan Krusche ⋅ Alfons Kemper ⋅ Matei Zaharia ⋅ Joseph E Gonzalez

KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models

Zukang Xu ⋅ Zhixiong Zhao ⋅ Xing Hu ⋅ Zhixuan Chen ⋅ Dawei Yang

Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Nikhil Shivakumar Nayak ⋅ Krishnateja Killamsetty ⋅ Ligong Han ⋅ Abhishek Bhandwaldar ⋅ Prateek Chanda ⋅ Kai Xu ⋅ Oleg Silkin ⋅ Mustafa Eyceoz ⋅ Hao Wang ⋅ Aldo Pareja ⋅ Akash Srivastava

PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning

Zeming Chen ⋅ Angelika Romanou ⋅ Gail Weiss ⋅ Antoine Bosselut

Adaptive Nonlinear Compression for Large Foundation Models

Liang Xu ⋅ Shufan Shen ⋅ Qingming Huang ⋅ Yao Zhu ⋅ Xiangyang Ji ⋅ Shuhui Wang

Alignment-Enhanced Integration of Connectivity and Spectral Sparsity in Dynamic Sparse Training of LLM

Wenjing Wu ⋅ Yingtao Zhang ⋅ Jialin Zhao ⋅ Carlo Vittorio Cannistraci

Inference-Cost-Aware Dynamic Tree Construction for Efficient Inference in Large Language Models

Yinrong Hong ⋅ Zhiquan Tan ⋅ Kai Hu

UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs

Hung-Yueh Chiang ⋅ Chi-Chih Chang ⋅ Yu-Chen Lu ⋅ Chien-Yu Lin ⋅ Kai-Chiang Wu ⋅ Mohamed Abdelfattah ⋅ Diana Marculescu

Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning

Cheng Yue ⋅ Jiajun Zhang ⋅ Xiaohui Gao ⋅ Weiwei Xing ⋅ Zhanxing Zhu

Bridging Draft Policy Misalignment: Group Tree Optimization for Speculative Decoding

Shijing Hu ⋅ Jingyang Li ⋅ Zhihui Lu ⋅ Pan Zhou

SliderQuant: Accurate Post-Training Quantization for LLMs

Shigeng Wang ⋅ Chao Li ⋅ Yangyuxuan Kang ⋅ Jiawei Fan ⋅ Zhonghong Ou ⋅ Anbang Yao

Lookup multivariate Kolmogorov-Arnold Networks

Sergey Pozdnyakov ⋅ Philippe Schwaller

Reasoning with Sampling: Your Base Model is Smarter Than You Think

Aayush Karan ⋅ Yilun Du

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods

Wanru Zhao ⋅ Yihong Chen ⋅ Yuzhi Tang ⋅ Wentao Ma ⋅ Shengchao Hu ⋅ Xu Hu ⋅ Alex Iacob ⋅ Abhinav Mehrotra ⋅ Nic Lane

Test-Time Training Done Right

Tianyuan Zhang ⋅ Sai Bi ⋅ Yicong Hong ⋅ Kai Zhang ⋅ Fujun Luan ⋅ Songlin Yang ⋅ Kalyan Sunkavalli ⋅ William Freeman ⋅ Hao Tan

Visual Self-Refine: A Pixel-Guided Paradigm for Accurate Chart Parsing

Jinsong Li ⋅ Xiaoyi Dong ⋅ Yuhang Zang ⋅ Yuhang Cao ⋅ Jiaqi Wang ⋅ Dahua Lin

Rethinking Residual Errors in Compensation-based LLM Quantization

Shuaiting Li ⋅ Juncan Deng ⋅ Kedong Xu ⋅ Rongtao Deng ⋅ Hong Gu ⋅ Minghan Jiang ⋅ Haibin Shen ⋅ Kejie Huang

Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models

Tianao Zhang ⋅ Zhiteng Li ⋅ Xianglong Yan ⋅ Haotong Qin ⋅ Yong Guo ⋅ Yulun Zhang

Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data

Haoran Deng ⋅ Yingyu Lin ⋅ Zhenghao Lin ⋅ Xiao Liu ⋅ Yizhou Sun ⋅ Yian Ma ⋅ Yeyun Gong

CodeQuant: Unified Clustering and Quantization for Enhanced Outlier Smoothing in Low-Precision Mixture-of-Experts

Xiangyang Yin ⋅ Xingyu Liu ⋅ Tianhua Xia ⋅ BO BAO ⋅ Vithursan Thangarasa ⋅ Valavan Manohararajah ⋅ Eric Sather ⋅ Sai Qian Zhang

MoDr: Mixture-of-Depth-Recurrent Transformers for Test-Time Reasoning

Xiaojing Zhang ⋅ Haifeng Wu ⋅ Gang He ⋅ Jiyang Shen ⋅ Bochen Lyu ⋅ Zhanxing Zhu

Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding

Yifan Zhu ⋅ 慧强荣 ⋅ Haoran Luo

Remaining-data-free Machine Unlearning by Suppressing Sample Contribution

Xinwen Cheng ⋅ Zhehao Huang ⋅ Wenxing Zhou ⋅ Zhengbao He ⋅ Ruikai Yang ⋅ Yingwen Wu ⋅ Xiaolin Huang

Faster SVD via Accelerated Newton-Schulz Iteration

Askar Tsyganov ⋅ Uliana Parkina ⋅ Ekaterina Grishina ⋅ Sergey Samsonov ⋅ Maxim Rakhuba

Attend to the Active: Structure-Aware Dynamic Attention in LLMs for Compositional Instruction Following

Fangrui Lv ⋅ Yulei Qin ⋅ Ruixin Hong ⋅ Jian Liang ⋅ Jinyang Wu ⋅ Ke Li ⋅ Xing Sun ⋅ Changshui Zhang

FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference

Guangda Liu ⋅ Chengwei Li ⋅ Zhenyu Ning ⋅ Jing Lin ⋅ Yiwu Yao ⋅ Danning Ke ⋅ Minyi Guo ⋅ Jieru Zhao

Token Alignment Heads: Unveiling Attention's Role in LLM Multilingual Translation

BINBIN LIU ⋅ Wenhan Han ⋅ Feng Chen ⋅ Yifan Zhang ⋅ Ping Guo ⋅ Haobin Lin ⋅ Bingni Zhang ⋅ Taifeng Wang ⋅ Yin Zheng

Log-Linear Attention

Guo ⋅ Songlin Yang ⋅ Tarushii Goel ⋅ Eric P Xing ⋅ Tri Dao ⋅ Yoon Kim

Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin

Enrique Queipo-de-Llano ⋅ Alvaro Arroyo ⋅ Federico Barbero ⋅ Xiaowen Dong ⋅ Michael Bronstein ⋅ Yann LeCun ⋅ Ravid Shwartz-Ziv

xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity

Maximilian Beck ⋅ Kajetan Schweighofer ⋅ Sebastian Böck ⋅ Sebastian Lehner ⋅ Sepp Hochreiter

LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel

Zhe Feng ⋅ Sen Lian ⋅ Changwei Wang ⋅ Muyang Zhang ⋅ Tianlong Tan ⋅ Rongtao Xu ⋅ Weiliang Meng ⋅ Xiaopeng Zhang

InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation

Weilin Zhao ⋅ Zihan Zhou ⋅ Zhou su ⋅ Chaojun Xiao ⋅ Yuxuan Li ⋅ Yanghao Li ⋅ Yudi Zhang ⋅ Weilun Zhao ⋅ Zhen Li ⋅ Yuxiang Huang ⋅ Ao Sun ⋅ Xu Han ⋅ Zhiyuan Liu

QuoKA: Query-Oriented KV Selection for Efficient LLM Prefill

Dalton Jones ⋅ Junyoung Park ⋅ Matthew Morse ⋅ Mingu Lee ⋅ Matthew Harper Langston ⋅ Christopher Lott

The Counting Power of Transformers

Marco Sälzer ⋅ Chris Köcher ⋅ Alexander Kozachinskiy ⋅ Georg Zetzsche ⋅ Anthony W. Lin

Selective Rotary Position Embedding

Sajad Movahedi ⋅ Timur Carstensen ⋅ Arshia Afzal ⋅ Frank Hutter ⋅ Antonio Orvieto ⋅ Volkan Cevher

Critical attention scaling in long-context transformers

Shi Chen ⋅ Zhengjiang Lin ⋅ Yury Polyanskiy ⋅ Philippe Rigollet

Emergent Discrete Controller Modules for Symbolic Planning in Transformers

S M Rafiuddin ⋅ Muntaha Khan

Beyond Scattered Acceptance: Fast and Coherent Inference for DLMs via Longest Stable Prefixes

Pengxiang Li ⋅ Jiayin Cai ⋅ Hongwei Xue ⋅ Kunyu Shi ⋅ Shilin Yan

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees

Mohammed Nowaz Rabbani Chowdhury ⋅ Kaoutar El Maghraoui ⋅ Hsinyu Tsai ⋅ Naigang Wang ⋅ Geoffrey Burr ⋅ Liu Liu ⋅ Meng Wang

SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene Generation

Ling Wang ⋅ Hao-Xiang Guo ⋅ Xinzhou Wang ⋅ Fuchun Sun ⋅ Kai Sun ⋅ Pengkun Liu ⋅ Hang Xiao ⋅ Zhong Wang ⋅ Guangyuan Fu ⋅ Eric Li ⋅ Yang Liu ⋅ Yikai Wang

GenDR: Lighten Generative Detail Restoration

Yan Wang ⋅ Shijie Zhao ⋅ Kexin Zhang ⋅ Junlin Li ⋅ Li zhang

Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning

Yung Hwei Lai ⋅ Kaiming Liu ⋅ Ziyue Wang ⋅ Weizhi Ma ⋅ Yang Liu

On the Mechanisms of Collaborative Learning in VAE Recommenders

Long Vuong ⋅ Julien Monteil ⋅ Hien Dang ⋅ Volodymyr Vaskovych ⋅ Trung Le ⋅ Vu Nguyen

Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead

Feiyang Kang ⋅ Michael Kuchnik ⋅ Karthik Padthe ⋅ Marin Vlastelica ⋅ Ruoxi Jia ⋅ Carole-Jean Wu ⋅ Newsha Ardalani

Latent Stochastic Interpolants

Saurabh Singh ⋅ Dmitry Lagun

Unveiling the Potential of Diffusion Large Language Model in Controllable Generation

Zhen Xiong ⋅ Yujun Cai ⋅ Zhecheng Li ⋅ Yiwei Wang

Carré du champ flow matching: better quality-generalisation tradeoff in generative models

Jacob Bamberger ⋅ Iolo Jones ⋅ Dennis Duncan ⋅ Michael Bronstein ⋅ Pierre Vandergheynst ⋅ Adam Gosztolai

Follow-Your-Preference: Towards Preference-Aligned Image Inpainting

Yutao Shen ⋅ Junkun Yuan ⋅ Toru Aonishi ⋅ Hideki Nakayama ⋅ Jack Ma

In Good GRACES: Principled Teacher Selection for Knowledge Distillation

Abhishek Panigrahi ⋅ Bingbin Liu ⋅ Sadhika Malladi ⋅ Sham Kakade ⋅ Surbhi Goel

Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets

Bo Xue ⋅ Yunchong Song ⋅ Fanghao Shao ⋅ Xuekai Zhu ⋅ Lin Chen ⋅ Luoyi Fu ⋅ Xinbing Wang ⋅ Zhouhan Lin

Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models

Cheng Jin ⋅ Qitan Shi ⋅ Yuantao Gu

Motion-R1: Enhancing Motion Generation with Decomposed Chain-of-Thought and RL Binding

Runqi Ouyang ⋅ Haoyun Li ⋅ Zhenyuan Zhang ⋅ Xiaofeng Wang ⋅ Zeyu Zhang ⋅ Zheng Zhu ⋅ Guan Huang ⋅ Sirui Han ⋅ Xingang Wang

Precise and Interpretable Editing of Code Knowledge in Large Language Models

Min Xue ⋅ Nikolai Bolik ⋅ Lennart Stöpler ⋅ Erik Imgrund ⋅ Janik Schmid ⋅ Artur Andrzejak

Pixel-Level Residual Diffusion Transformer: Scalable 3D CT Volume Generation

Zhenkai Zhang ⋅ Markus Hiller ⋅ Krista A. Ehinger ⋅ Tom Drummond

Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding

Wenrui Bao ⋅ Zhiben Chen ⋅ Dan Xu ⋅ Yuzhang Shang

Generative Human Geometry Distribution

Xiangjun Tang ⋅ Biao Zhang ⋅ Peter Wonka

Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value

Yixian Xu ⋅ Shengjie Luo ⋅ Liwei Wang ⋅ Di He ⋅ Chang Liu

Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data

Syeda Nahida Akter ⋅ Shrimai Prabhumoye ⋅ Eric Nyberg ⋅ Mostofa Patwary ⋅ Mohammad Shoeybi ⋅ Yejin Choi ⋅ Bryan Catanzaro

PonderLM: Pretraining Language Models to Ponder in Continuous Space

Boyi Zeng ⋅ Shixiang Song ⋅ Siyuan Huang ⋅ Yixuan Wang ⋅ He Li ⋅ Ziwei He ⋅ Xinbing Wang ⋅ Zhiyu li ⋅ Zhouhan Lin

Next-ToBE: Probabilistic Next Token-Bag Exploitation for Activating Anticipatory Capacity in LLMs

Yihe Liu ⋅ Huibin Wang ⋅ Xianming Hu ⋅ Pinyi Zhang ⋅ Jiahao Xiong ⋅ Chenglin Wang ⋅ Nuoyi Chen ⋅ Hongbo Zhao ⋅ Jie Zhang ⋅ Kai Zhang

Free Lunch for Stabilizing Rectified Flow Inversion

Chenru Wang ⋅ Beier Zhu ⋅ Chi Zhang

Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence

Quoc Nguyen ⋅ Trung Le ⋅ Jing Wu ⋅ Anh Bui ⋅ Mehrtash Harandi

REAL: Reading Out Transformer Activations for Precise Localization in Language Model Steering

Li-Ming Zhan ⋅ Bo LIU ⋅ Yujie Feng ⋅ Chengqiang Xie ⋅ Jiannong Cao ⋅ Xiao-Ming Wu

ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping

Zijian Zhu ⋅ Fei Ren ⋅ Zhanhong Tan ⋅ Kaisheng Ma

Riemannian Variational Flow Matching for Material and Protein Design

Olga Zaghen ⋅ Floor Eijkelboom ⋅ Alison Pouplin ⋅ Cong Liu ⋅ Max Welling ⋅ Jan-Willem van de Meent ⋅ Erik Bekkers

Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models

Min Cheng ⋅ Fatemeh Doudi ⋅ Dileep Kalathil ⋅ Mohammad Ghavamzadeh ⋅ Panganamala Kumar

Cache-to-Cache: Direct Semantic Communication Between Large Language Models

Tianyu Fu ⋅ Zihan Min ⋅ Hanling Zhang ⋅ Jichao Yan ⋅ Guohao Dai ⋅ Wanli Ouyang ⋅ Yu Wang

Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs

Qinyuan Wu ⋅ Soumi Das ⋅ Mahsa Amani ⋅ Bishwamittra Ghosh ⋅ Mohammad Aflah Khan ⋅ Krishna Gummadi ⋅ Muhammad Bilal Zafar

VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models

Yuchen Yan ⋅ Jin Jiang ⋅ Zhenbang Ren ⋅ Yijun Li ⋅ Xudong Cai ⋅ Yang Liu ⋅ Xin Xu ⋅ Mengdi Zhang ⋅ Jian Shao ⋅ Yongliang Shen ⋅ Jun Xiao ⋅ Yueting Zhuang

Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization

Kevin Rojas ⋅ Jiahe Lin ⋅ Kashif Rasul ⋅ Anderson Schneider ⋅ Yuriy Nevmyvaka ⋅ Molei Tao ⋅ Wei Deng

Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation

Xuwang Yin ⋅ Claire Zhang ⋅ Julie Steele ⋅ Nir Shavit ⋅ Tony Wang

A Bayesian Nonparametric Framework For Learning Disentangled Representations

Vaishnavi Patil ⋅ Siddhi Patil ⋅ Matthew Evanusa ⋅ Amit Kumar Kundu ⋅ Cornelia Fermuller ⋅ Joseph JaJa

DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization

Gang Li ⋅ Yan Chen ⋅ Ming Lin ⋅ Tianbao Yang

A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers

Roman Tarasov ⋅ Petr Mokrov ⋅ Milena Gazdieva ⋅ Evgeny Burnaev ⋅ Aleksandr Korotin

Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion Models

Yu Zhang ⋅ Xingzhuo Guo ⋅ Haoran Xu ⋅ Jialong Wu ⋅ Mingsheng Long

Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks

Yubo Li ⋅ Ramayya Krishnan ⋅ Rema Padman

UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models

Guangxin He ⋅ Shen Nie ⋅ Fengqi Zhu ⋅ Yuankang Zhao ⋅ Tianyi Bai ⋅ Ran Yan ⋅ Jie Fu ⋅ Chongxuan Li ⋅ Binhang Yuan

Generalization of Diffusion Models Arises with a Balanced Representation Space

Zekai Zhang ⋅ Xiao Li ⋅ Xiang Li ⋅ Lianghe Shi ⋅ Meng Wu ⋅ Molei Tao ⋅ Qing Qu

VisCoder2: Building Multi-Language Visualization Coding Agents

Yuansheng Ni ⋅ Songcheng Cai ⋅ Xiangchao Chen ⋅ Jiarong Liang ⋅ Zhiheng LYU ⋅ Jiaqi Deng ⋅ Kai Zou ⋅ PING NIE ⋅ Fei Yuan ⋅ Xiang Yue ⋅ Wenhu Chen

GGBall: Graph Generative Model on Poincaré Ball

Tianci Bu ⋅ Chuanrui Wang ⋅ Hao Ma ⋅ Haoren Zheng ⋅ Xin Lu ⋅ Tailin Wu

CyclicReflex: Improving Reasoning Models via Cyclical Reflection Token Scheduling

Chongyu Fan ⋅ Yihua Zhang ⋅ Jinghan Jia ⋅ Alfred Hero ⋅ Sijia Liu

LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts

Yuan Zhuang ⋅ Yi Shen ⋅ Yuexin Bian ⋅ Qing Su ⋅ Shihao Ji ⋅ Yuanyuan Shi ⋅ Fei Miao

Provable Separations between Memorization and Generalization in Diffusion Models

Zeqi Ye ⋅ Qijie Zhu ⋅ Molei Tao ⋅ Minshuo Chen

Predicting LLM Output Length via Entropy-Guided Representations

Huanyi Xie ⋅ Yubin Chen ⋅ Liangyu Wang ⋅ Lijie Hu ⋅ Di Wang

Unveiling Downstream Performance Scaling of LLMs: A Clustering-Based Perspective

Chengyin Xu ⋅ Kaiyuan Chen ⋅ Xiao Li ⋅ Ke Shen ⋅ Chenggang Li

Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance

Yujie Wei ⋅ Shiwei Zhang ⋅ Hangjie Yuan ⋅ Yujin Han ⋅ Zhekai Chen ⋅ Jiayu Wang ⋅ Difan Zou ⋅ Xihui Liu ⋅ yingya zhang ⋅ Yu Liu ⋅ Hongming Shan

Eliminating VAE for Fast and High-Resolution Generative Detail Restoration

Yan Wang ⋅ Shijie Zhao ⋅ Junlin Li ⋅ Li zhang

The human knowledge loophole in the 'bitter lesson' for LLMs

Anna Rogers

Assessing Robustness via Score-Based Adversarial Image Generation

Marcel Kollovieh · Lukas Gosch · Marten Lienen · Yan Scholten · Leo Schwinn · Stephan Günnemann

Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection

Yunhui Liu ⋅ Jiashun Cheng ⋅ Yiqing Lin ⋅ Qizhuo Xie ⋅ Jia Li ⋅ Fugee Tsung ⋅ Hongzhi Yin ⋅ Tao Zheng ⋅ Jianhua Zhao ⋅ Tieke He

Sheaves Reloaded: A Direction Awakening

Stefano Fiorini ⋅ Hakan Emre Aktas ⋅ Iulia Duta ⋅ Pietro Morerio ⋅ Alessio Del Bue ⋅ Pietro Lio ⋅ Stefano Coniglio

GraphOmni: A Comprehensive and Extensible Benchmark Framework for Large Language Models on Graph-theoretic Tasks

Hao Xu ⋅ Xiangru Jian ⋅ Xinjian Zhao ⋅ Wei Pang ⋅ Chao Zhang ⋅ Suyuchen Wang ⋅ Qixin ZHANG ⋅ Zhengyuan Dong ⋅ Joao Monteiro ⋅ Bang Liu ⋅ Qiuzhuang Sun ⋅ Tianshu Yu

Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis

Zongjiang Shang ⋅ Dongliang Cui ⋅ Binqing Wu ⋅ Ling Chen

Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding

Rishabh Jain ⋅ Keisuke Okumura ⋅ Michael Amir ⋅ Pietro Lio ⋅ Amanda Prorok

Cooperative Sheaf Neural Networks

André Ribeiro ⋅ Ana Luiza Tenorio ⋅ Juan Belieni ⋅ Amauri Souza ⋅ Diego Mesquita

Learning from Historical Activations in Graph Neural Networks

Yaniv Galron ⋅ Hadar Sinai ⋅ Haggai Maron ⋅ Moshe Eliasof

TandemFoilSet: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils

Wei Xian Lim ⋅ Loh Sher En Jessica ⋅ Zenong Li ⋅ Thant Oo ⋅ Wai Lee Chan ⋅ Adams Kong

Diverse and Sparse Mixture-of-Experts for Causal Subgraph–Based Out-of-Distribution Graph Learning

Jerry Sun ⋅ Mohamed Abubakr Hassan ⋅ Yaoyu Zhang ⋅ Wanying Zhang ⋅ Chi-Guhn Lee

ODNet: Opinion Dynamics-Inspired Neural Message Passing for Graphs and Hypergraphs

Bingxin Zhou · Outongyi Lv · Jing Wang · Xiang Xiao · Weishu Zhao

Noise Tolerance of Distributionally Robust Learning

Ramzi Dakhmouche ⋅ Ivan Lunati ⋅ Hossein Gorji

Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-Scheduling

Jonas Ngnawé ⋅ Maxime Heuillet ⋅ Sabyasachi Sahoo ⋅ Yann Pequignot ⋅ Ola Ahmad ⋅ Audrey Durand ⋅ Frederic Precioso ⋅ Christian Gagné

VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language Models

Hefei Mei ⋅ Zirui Wang ⋅ Shen You ⋅ Minjing Dong ⋅ Chang Xu

Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning

Charmaine Barker ⋅ Daniel Bethell ⋅ Simos Gerasimou

Semantic Uncertainty Quantification of Hallucinations in LLMs: A Quantum Tensor Network Based Method

pragatheeswaran vipulanandan ⋅ Kamal Premaratne ⋅ Dilip Sarkar

Predicting Training Re-evaluation Curves Enables Effective Data Curriculums for LLMs

Shane Bergsma ⋅ Nolan Dey ⋅ Joel Hestness

Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time

Blake Bordelon ⋅ Mary Letey ⋅ Cengiz Pehlevan

Sequences of Logits Reveal the Low Rank Structure of Language Models

Noah Golowich ⋅ Allen Liu ⋅ Abhishek Shetty

Conditioned Initialization for Attention

Hemanth Saratchandran ⋅ Simon Lucey

How Transformers Learn Causal Structures In-Context: Explainable Mechanism Meets Theoretical Guarantee

Jianzhe Wei ⋅ Siyu Chen ⋅ Jianliang He ⋅ Zhuoran Yang

Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants

Yuhao Liu ⋅ Yu Chen ⋅ Rui Hu ⋅ Longbo Huang

From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks

Ouns El Harzli ⋅ Bernardo Grau ⋅ Artur Garcez ⋅ Ian Horrocks ⋅ Tarek R. Besold

The Serial Scaling Hypothesis

Yuxi Liu ⋅ Konpat Preechakul ⋅ Kananart Kuwaranancharoen ⋅ Yutong Bai

Fisher-Rao Sensitivity for Out-of-Distribution Detection in Deep Neural Networks

Anthony Nguyen ⋅ Antonin Bertrand ⋅ Sylvie Le Hégarat-Mascle ⋅ Emanuel Aldea ⋅ Mohammed EL-KORSO ⋅ Renaud LUSTRAT ⋅ Franck FLORIN

The Coverage Principle: How Pre-Training Enables Post-Training

Fan Chen ⋅ Audrey Huang ⋅ Noah Golowich ⋅ Sadhika Malladi ⋅ Adam Block ⋅ Jordan Ash ⋅ Akshay Krishnamurthy ⋅ Dylan Foster

A New Initialization to Control Gradients in Sinusoidal Neural Networks

Andrea Combette ⋅ Nelly Pustelnik ⋅ Antoine Venaille

Does Weak-to-strong Generalization Happen under Spurious Correlations?

Chenruo Liu ⋅ Yijun Dong ⋅ Qi Lei

An Information-Theoretic Lower Bound on the Generalization Error of Autoencoders

Shyam Venkatasubramanian · Sean Moushegian · Ahmed Aloui · Vahid Tarokh

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

Tong Zheng ⋅ Hongming Zhang ⋅ Wenhao Yu ⋅ Xiaoyang Wang ⋅ He Xing ⋅ Runpeng Dai ⋅ Rui Liu ⋅ Huiwen Bao ⋅ Chengsong Huang ⋅ Heng Huang ⋅ Dong Yu

Highly Efficient and Effective LLMs with Multi-Boolean Architectures

Ba-Hien Tran ⋅ Van Minh Nguyen

Early Signs of Steganographic Capabilities in Frontier LLMs

Artur Zolkowski ⋅ Kei Nishimura-Gasparian ⋅ Robert McCarthy ⋅ Roland Zimmermann ⋅ David Lindner

SSDi8: Accurate and Efficient 8-bit Quantization for State Space Duality

Hyunwoo Kim ⋅ BYOUNGCHAN KO ⋅ Minseok Kang ⋅ Minwoo Kim ⋅ Dongjin Lee ⋅ Jaehoon Lee ⋅ Sungroh Yoon ⋅ Dahuin Jung

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems

Ming Ma ⋅ Jue Zhang ⋅ Fangkai Yang ⋅ Yu Kang ⋅ Qingwei Lin ⋅ Saravan Rajmohan ⋅ Dongmei Zhang

Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity

Cristian Hinostroza ⋅ Rodrigo Toro Icarte ⋅ Christ Devia ⋅ Andres Carvallo ⋅ Eugenio Herrera-Berg ⋅ Denis Parra ⋅ Jorge Silva

Stable and Scalable Deep Predictive Coding Networks with Meta-Prediction Errors

Myoung Hoon Ha ⋅ Hyunjun Kim ⋅ Yoondo Sung ⋅ Youngha Jo ⋅ Min Kang ⋅ Sang Wan Lee

Latent-Guided Reasoning: Empowering Small LLMs with Large-Model Thinking

Hanzhu Chen ⋅ Lin Yang ⋅ Jie Wang ⋅ Junhao Yan ⋅ Zhe Wang ⋅ Xize Liang ⋅ Jianye Hao

ResT: Reshaping Token-Level Policy Gradients for Tool-Use Large Language Models

Zihan Lin ⋅ Xiaohan Wang ⋅ Jie Cao ⋅ Jiajun Chai ⋅ Guojun Yin ⋅ Wei Lin ⋅ Ran He

EigenBench: A Comparative Behavioral Measure of Value Alignment

Jonathn Chang ⋅ Leonhard Piff ⋅ Suvadip Sana ⋅ Jasmine Li ⋅ Lionel Levine

DuPO: Enabling Reliable Self-Verification via Dual Preference Optimization

Shuaijie She ⋅ Yu Bao ⋅ Yu Lu ⋅ Lu Xu ⋅ Tao Li ⋅ Wenhao Zhu ⋅ Jianbing Zhang ⋅ Shujian Huang ⋅ Shanbo Cheng ⋅ Lu Lu ⋅ Yuxuan Wang

Does Higher Interpretability Imply Better Utility? A Pairwise Analysis on Sparse Autoencoders

Xu Wang ⋅ Yan Hu ⋅ Wang Benyou ⋅ Difan Zou

INSTANT: Compressing Gradients and Activations for Resource-Efficient Training

Tuan-Kiet Doan ⋅ Trung-Hieu Tran ⋅ Enzo Tartaglione ⋅ Nikola Simidjievski ⋅ Van-Tam Nguyen

Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights

Xingli Fang ⋅ Jung-Eun Kim

NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents

Tianshi Zheng ⋅ Kiu Wai Tam ⋅ Kim Hue Nam Nguyen ⋅ Baixuan Xu ⋅ Zhaowei Wang ⋅ Cheng Jiayang ⋅ Hong Ting Tsang ⋅ Weiqi Wang ⋅ Jiaxin Bai ⋅ Tianqing Fang ⋅ Yangqiu Song ⋅ Ginny Wong ⋅ Simon See

SASFT: Sparse Autoencoder-guided Supervised Finetuning to Mitigate Unexpected Code-Switching in LLMs

Boyi Deng ⋅ Yu Wan ⋅ Baosong Yang ⋅ Fei Huang ⋅ Wenjie Wang ⋅ Fuli Feng

Enabling Fine-Tuning of Direct Feedback Alignment via Feedback-Weight Matching

Yunseok Lee ⋅ Seulki Lee

GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection

Mariia Seleznova ⋅ Hung-Hsu Chou ⋅ Claudio Mayrink Verdun ⋅ Gitta Kutyniok

PALC: Preference Alignment via Logit Calibration

Sanghyun Lee ⋅ Hoh In

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation

Or Tal · Felix Kreuk · Yossi Adi

Distributed Quasi-Newton Method for Fair and Fast Federated Learning

Shayan Mohajer Hamidi · Linfeng Ye

Towards All-Atom Foundation Models for Biomolecular Binding Affinity Prediction

Liang Shi ⋅ Zuobai Zhang ⋅ Huiyu Cai ⋅ Santiago Miret ⋅ Zhi Yang ⋅ Jian Tang

DeepSADR: Deep Transfer Learning with Subsequence Interaction and Adaptive Readout for Cancer Drug Response Prediction

Yuanpeng Zhang ⋅ Zhijian Huang ⋅ Ziyu Fan ⋅ Siyuan Shen ⋅ Yahan Li ⋅ Shangqian Wu ⋅ Min Wu ⋅ Lei Deng

Towards Knowledge‑and‑Data‑Driven Organic Reaction Prediction: RAG‑Enhanced and Reasoning‑Powered Hybrid System with LLMs

Qingyu Wang ⋅ Xinyuan Cai ⋅ Xiang Cheng ⋅ YuZhe Gao ⋅ Bo XU

GRAM-DTI: Adaptive Multimodal Representation Learning for Drug–Target Interaction Prediction

Feng Jiang ⋅ Maolaaisha Aminanmu ⋅ Hehuan Ma ⋅ Yuzhi Guo ⋅ Tommaso Mansi ⋅ Junzhou Huang ⋅ Mangal Prakash ⋅ Rui Liao

PoinnCARE: Hyperbolic Multi-Modal Learning for Enzyme Classification

Kun XIE ⋅ Peng Zhou ⋅ Xingyi Zhang ⋅ Wei Liu ⋅ Peilin Zhao ⋅ Sibo WANG ⋅ Biaobin Jiang

Efficient Regression-based Training of Normalizing Flows for Boltzmann Generators

Danyal Rehman ⋅ Oscar Davis ⋅ Jiarui Lu ⋅ Jian Tang ⋅ Michael Bronstein ⋅ Yoshua Bengio ⋅ Alexander Tong ⋅ Joey Bose

SigmaDock: Untwisting Molecular Docking with Fragment-Based SE(3) Diffusion

Alvaro Prat ⋅ Leo Zhang ⋅ Charlotte Deane ⋅ Yee Whye Teh ⋅ Garrett Morris

Geometric Graph Neural Diffusion for Stable Molecular Dynamics Simulations

Haokai Hong ⋅ Wanyu LIN ⋅ Chusong Zhang ⋅ KC Tan

PepBenchmark: A Standardized Benchmark for Peptide Machine Learning

Jiahui Zhang ⋅ Rouyi Wang ⋅ Kuangqi Zhou ⋅ Tianshu Xiao ⋅ Lingyan Zhu ⋅ Yaosen Min ⋅ Yang Wang

FlexRibbon: Joint Sequence and Structure Pretraining for Protein Modeling

Jianwei Zhu ⋅ Yu Shi ⋅ Ran Bi ⋅ Peiran Jin ⋅ Chang Liu ⋅ Zhe Zhang ⋅ Haitao Huang ⋅ Zekun Guo ⋅ Pipi Hu ⋅ Fusong Ju ⋅ Lin Huang ⋅ Xinwei Tai ⋅ Chenao Li ⋅ Kaiyuan Gao ⋅ Xinran Wei ⋅ Huanhuan Xia ⋅ Jia Zhang ⋅ Yaosen Min ⋅ Zun Wang ⋅ Yusong Wang ⋅ Liang He ⋅ Haiguang Liu ⋅ Tao Qin

Unified Biomolecular Trajectory Generation via Pretrained Variational Bridge

Ziyang Yu ⋅ Wenbing Huang ⋅ Yang Liu

Test-Time Adaptation without Source Data for Out-of-Domain Bioactivity Prediction

Yiming Yang ⋅ Zhiyuan Zhou ⋅ Yueming Yin ⋅ Hoi-Yeung Li ⋅ Adams Kong

Online Rounding and Learning Augmented Algorithms for Facility Location

Silvio Lattanzi ⋅ Debmalya Panigrahi ⋅ Ola Svensson

Synergistic Benefits of Joint Molecule Generation and Property Prediction

Adam Izdebski · Jan Olszewski · Pankhil Gawade · Krzysztof Koras · Serra Korkmaz · Valentin Rauscher · Jakub M. Tomczak · Ewa Szczurek

EarthSE: A Benchmark Evaluating Earth Scientific Exploration Capability for Large Language Models

Wanghan Xu ⋅ Xiangyu Zhao ⋅ Yuhao Zhou ⋅ Xiaoyu Yue ⋅ Ben Fei ⋅ Fenghua Ling ⋅ Wenlong Zhang ⋅ LEI BAI

Bayesian Post Training Enhancement of Regression Models with Calibrated Rankings

Kevin Tirta Wijaya ⋅ Bing Hu ⋅ Hans-Peter Seidel ⋅ Wojciech Matusik ⋅ Vahid Babaei

Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models

Shilei Cao ⋅ Hehai Lin ⋅ Jiashun Cheng ⋅ Yang Liu ⋅ Guowen Li ⋅ Xuehe Wang ⋅ Juepeng Zheng ⋅ Haoyuan Liang ⋅ Meng Jin ⋅ Chengwei Qin ⋅ Hong Cheng ⋅ Haohuan Fu

TianQuan-S2S: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State

Guowen Li ⋅ Xintong Liu ⋅ Yang Liu ⋅ Mengxuan Chen ⋅ Shilei Cao ⋅ Xuehe Wang ⋅ Juepeng Zheng ⋅ Jinxiao Zhang ⋅ Haoyuan Liang ⋅ Lixian Zhang ⋅ Jiuke Wang ⋅ Meng Jin ⋅ Hong Cheng ⋅ Haohuan Fu

Shrinking Proteins with Diffusion

Ethan Baron ⋅ Alan Amin ⋅ Ruben Weitzman ⋅ Simon dOelsnitz ⋅ Debora Marks ⋅ Andrew Gordon Wilson

CryoSplat: Gaussian Splatting for Cryo-EM Homogeneous Reconstruction

Suyi Chen ⋅ Haibin Ling

A Joint Diffusion Model with Pre-Trained Priors for RNA Sequence-Structure Co-Design

Xiner Li ⋅ Masatoshi Uehara ⋅ Xingyu Su ⋅ Gabriele Scalia ⋅ Shuiwang Ji

HeurekaBench: A Benchmarking Framework for AI Co-scientist

Siba Smarak Panigrahi ⋅ Jovana Videnović ⋅ Maria Brbic

AntigenLM: Structure-Aware DNA Language Modeling for Influenza

YUE PEI ⋅ Xuebin Chi ⋅ Yu KANG

Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs

Kai Zhuang ⋅ Jiawei Zhang ⋅ Yumou Liu ⋅ Hanqun Cao ⋅ Chunbin Gu ⋅ Mengdi Liu ⋅ Zhangyang Gao ⋅ Zitong Jerry Wang ⋅ Xuanhe Zhou ⋅ Pheng-Ann Heng ⋅ Lijun Wu ⋅ Conghui He ⋅ Cheng Tan

CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis

Yihang Xiao ⋅ Jinyi Liu ⋅ YAN ZHENG ⋅ Shaoqing Jiao ⋅ Jianye Hao ⋅ Xiaohan Xie ⋅ Limingzhi ⋅ Ruitao Wang ⋅ Fei Ni ⋅ Yuxiao Li ⋅ Zhen Wang ⋅ Xuequn Shang ⋅ Zhijie Bao ⋅ Changxiao Yang ⋅ Jiajie Peng

A New Paradigm for Genome-wide DNA Methylation Prediction Without Methylation Input

Xiaoke Huang ⋅ Qi Liu ⋅ Yifei Zhao ⋅ Xianfeng Tang ⋅ Yuyin Zhou ⋅ Wenpin Hou

Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism

Haoran Sun ⋅ Yankai Jiang ⋅ Zhenyu Tang ⋅ Yaning Pan ⋅ Shuang Gu ⋅ Zekai Lin ⋅ Lilong Wang ⋅ Wenjie Lou ⋅ Lei Liu ⋅ LEI BAI ⋅ Xiaosong Wang

Benchmarking ECG FMs: A Reality Check Across Clinical Tasks

M A Al-Masud ⋅ Juan Miguel Lopez Alcaraz ⋅ Nils Strodthoff

Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine

Michael Yao ⋅ Osbert Bastani ⋅ Alma Andersson ⋅ Tommaso Biancalani ⋅ Aicha BenTaieb ⋅ Claudia Iriondo

Can we generate portable representations for clinical time series data using LLMs?

Zongliang Ji ⋅ Yifei Sun ⋅ Andre Amaral ⋅ Anna Goldenberg ⋅ Rahul G. Krishnan

From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database Agents

Gyubok Lee ⋅ Woosog Chay ⋅ Heeyoung Kwak ⋅ Yeong Kim ⋅ Haanju Yoo ⋅ Oksoon Jeong ⋅ Meong Hi Son ⋅ Edward Choi

Joint Adaptation of Uni-modal Foundation Models for Multi-modal Alzheimer's Disease Diagnosis

Wentao Gu ⋅ Yuquan Li ⋅ Xinyang Jiang ⋅ Zilong Wang ⋅ Dongsheng Li ⋅ Zehui Li ⋅ Zijian Dong ⋅ Cai Zhao

NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context

Ben Yao ⋅ Qiuchi Li ⋅ Yazhou Zhang ⋅ Yang siyu ⋅ Bohan Zhang ⋅ Prayag Tiwari ⋅ Jing Qin

Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs

Xiaoke Huang ⋅ Ningsen Wang ⋅ Hui Liu ⋅ Xianfeng Tang ⋅ Yuyin Zhou

A Structured, Tagged, and Localized Visual Question Answering Dataset with Full Sentence Answers and Scene Graphs for Chest X-ray Images

Philip Müller ⋅ Friederike Jungmann ⋅ Georgios Kaissis ⋅ Daniel Rueckert

Nef-Net v2: Adapting Electrocardio Panorama in the wild

Zehui Zhan ⋅ Yaojun Hu ⋅ Jiajing Zhang ⋅ Wanchen Lian ⋅ Wanqing Wu ⋅ Jintai Chen

FETAL-GAUGE: A BENCHMARK FOR ASSESSING VISION-LANGUAGE MODELS IN FETAL ULTRASOUND

Hussain Alasmawi ⋅ Numan Saeed ⋅ Mohammad Yaqub

ProstaTD: Bridging Surgical Triplet from Classification to Fully Supervised Detection

Yiliang Chen ⋅ Zhixi Li ⋅ Cheng Xu ⋅ Alex Liu ⋅ Ruize Cui ⋅ Xuemiao Xu ⋅ Jeremy Teoh ⋅ Shengfeng He ⋅ Jing Qin

A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control

Louis Claeys ⋅ Artur Goldman ⋅ Zebang Shen ⋅ Niao He

Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving

Alexander Rudikov ⋅ Vladimir Fanaskov ⋅ Sergei Stepanov ⋅ Buzheng Shan ⋅ Ekaterina Muravleva ⋅ Yalchin Efendiev ⋅ Ivan Oseledets

Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving

Jianing Huang ⋅ Kaixuan Zhang ⋅ Youjia Wu ⋅ Ze Cheng

Breaking Scale Anchoring: Frequency Representation Learning for Accurate High-Resolution Inference from Low-Resolution Training

Wenshuo Wang ⋅ Fan Zhang

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models

Xiaoyu Chen ⋅ Hangxing Wei ⋅ Pushi Zhang ⋅ Chuheng Zhang ⋅ Kaixin Wang ⋅ Yanjiang Guo ⋅ Rushuai Yang ⋅ Yucen Wang ⋅ Xinquan Xiao ⋅ Li Zhao ⋅ Jianyu Chen ⋅ Jiang Bian

Vision-Language-Action Instruction Tuning: From Understanding to Manipulation

Shuai Yang ⋅ Hao Li ⋅ Bin Wang ⋅ Yilun Chen ⋅ Yang Tian ⋅ Tai Wang ⋅ Hanqing Wang ⋅ Feng Zhao ⋅ Yiyi Liao ⋅ Jiangmiao Pang

Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots

Minghuan Liu ⋅ Zhengbang Zhu ⋅ Xiaoshen Han ⋅ PengHu ⋅ Haotong Lin ⋅ Xinyao Li ⋅ Jingxiao Chen ⋅ Jiafeng Xu ⋅ Yichu Yang ⋅ Yunfeng Lin ⋅ Xinghang Li ⋅ Yong Yu ⋅ Weinan Zhang ⋅ Tao Kong ⋅ Bingyi Kang

Emergent Dexterity Via Diverse Resets and Large-Scale Reinforcement Learning

Patrick Yin ⋅ Tyler Westenbroek ⋅ Zhengyu Zhang ⋅ Ignacio Dagnino ⋅ Eeshani Shilamkar ⋅ Numfor Mbiziwo-Tiapo ⋅ Simran Bagaria ⋅ Xinlei Liu ⋅ Galen Mullins ⋅ Andrey Kolobov ⋅ Abhishek Gupta

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment

Tong Nie ⋅ Yuewen Mei ⋅ Yihong Tang ⋅ Junlin He ⋅ Jie Sun ⋅ Haotian Shi ⋅ Wei Ma ⋅ Jian Sun

PEERING INTO THE UNKNOWN: ACTIVE VIEW SELECTION WITH NEURAL UNCERTAINTY MAPS FOR 3D RECONSTRUCTION

Zhengquan Zhang ⋅ Feng Xu ⋅ Mengmi Zhang

Translating Flow to Policy via Hindsight Online Imitation

Yitian Zheng ⋅ Zhangchen Ye ⋅ Weijun Dong ⋅ Shengjie Wang ⋅ Yuyang Liu ⋅ Chongjie Zhang ⋅ Chuan Wen ⋅ Yang Gao

RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks

Shiying Duan ⋅ Pei Ren ⋅ Nanxiang Jiang ⋅ Zhengping Che ⋅ Jian Tang ⋅ Zhaoxin Fan ⋅ Yifan Sun ⋅ wenjun wu

RAP: 3D Rasterization Augmented End-to-End Planning

Lan Feng ⋅ Yang Gao ⋅ Eloi Zablocki ⋅ Quanyi Li ⋅ Wuyang Li ⋅ Sichao Liu ⋅ MATTHIEU CORD ⋅ Alexandre Alahi

One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration

Jinbang Huang ⋅ Yixin Xiao ⋅ Zhanguang Zhang ⋅ Mark Coates ⋅ Jianye Hao ⋅ Yingxue Zhang

Interleave-VLA: Enhancing Robot Manipulation with Image-Text Interleaved Instructions

Cunxin Fan ⋅ Xiaosong Jia ⋅ Yihang Sun ⋅ Yixiao Wang ⋅ Jianglan Wei ⋅ Ziyang Gong ⋅ Xiangyu Zhao ⋅ Masayoshi Tomizuka ⋅ Xue Yang ⋅ Junchi Yan ⋅ Mingyu Ding

QVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization

Yuhao Xu ⋅ Yantai Yang ⋅ Zhenyang Fan ⋅ Yufan Liu ⋅ Yuming Li ⋅ Bing Li ⋅ Zhipeng Zhang

ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning

Zhao Jin ⋅ Zhengping Che ⋅ Tao Li ⋅ Zhen Zhao ⋅ Kun Wu ⋅ Yuheng Zhang ⋅ Yinuo Zhao ⋅ Zehui Liu ⋅ Qiang Zhang ⋅ Xiaozhu Ju ⋅ Jing Tian ⋅ Yousong Xue ⋅ Jian Tang

Virtual Community: An Open World for Humans, Robots, and Society

Qinhong Zhou ⋅ Hongxin Zhang ⋅ Xiangye Lin ⋅ Zheyuan Zhang ⋅ Yutian Chen ⋅ Wenjun Liu ⋅ Zunzhe Zhang ⋅ Sunli Chen ⋅ Lixing Fang ⋅ Qiushi Lyu ⋅ Xinyu Sun ⋅ Jincheng Yang ⋅ Zeyuan Wang ⋅ Bao Dang ⋅ Zhehuan Chen ⋅ Daksha Ladia ⋅ Quang Dang ⋅ Jiageng Liu ⋅ Chuang Gan

Unified Vision-Language-Action Model

Yuqi Wang ⋅ Xinghang Li ⋅ Wenxuan Wang ⋅ Junbo Zhang ⋅ Yingyan Li ⋅ Yuntao Chen ⋅ Xinlong Wang ⋅ Zhaoxiang Zhang

ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving

yongkang li ⋅ Kaixin Xiong ⋅ Xiangyu Guo ⋅ Fang Li ⋅ Sixu Yan ⋅ Gangwei Xu ⋅ Lijun Zhou ⋅ Long Chen ⋅ Haiyang Sun ⋅ Bing Wang ⋅ Kun Ma ⋅ Guang Chen ⋅ Hangjun Ye ⋅ Wenyu Liu ⋅ Xinggang Wang

Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning

Ganlin Yang ⋅ Tianyi Zhang ⋅ Haoran Hao ⋅ Weiyun Wang ⋅ Yibin Liu ⋅ Dehui Wang ⋅ Guanzhou Chen ⋅ Zijian Cai ⋅ Junting Chen ⋅ Weijie Su ⋅ Wengang Zhou ⋅ Yu Qiao ⋅ Jifeng Dai ⋅ Jiangmiao Pang ⋅ Gen Luo ⋅ Wenhai Wang ⋅ Yao Mu ⋅ Zhi Hou

MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation

Hao Shi ⋅ Bin Xie ⋅ Yingfei Liu ⋅ Lin Sun ⋅ Fengrong Liu ⋅ Tiancai Wang ⋅ Erjin Zhou ⋅ Haoqiang Fan ⋅ Xiangyu Zhang ⋅ Gao Huang

Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control

Anselm Paulus ⋅ Andreas René Geist ⋅ Pierre Schumacher ⋅ Vít Musil ⋅ Simon Rappenecker ⋅ Georg Martius

TaCo: A Benchmark for Lossless and Lossy Codecs of Heterogeneous Tactile Data

Zhengxue Cheng ⋅ Yan Zhao ⋅ Keyu Wang ⋅ Hengdi ZHANG ⋅ Li Song

Weight-Space Linear Recurrent Neural Networks

Roussel Nzoyem ⋅ Nawid Keshtmand ⋅ Enrique Crespo Fernandez ⋅ Idriss TSAYEM ⋅ Raul Santos-Rodriguez ⋅ David Barton ⋅ Tom Deakin

Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models

Yunzhong Qiu ⋅ Zhiyao Cen ⋅ Zhongyi Pei ⋅ Chen Wang ⋅ Jianmin Wang

PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting

Ao Hu ⋅ Liangjian Wen ⋅ Jiang Duan ⋅ Yong Dai ⋅ HE YAN ⋅ Dongkai Wang ⋅ Jun Wang ⋅ Yukun Zhang ⋅ Ruoxi Jiang ⋅ Zenglin Xu

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting

Yifan Hu ⋅ Jie Yang ⋅ Tian Zhou ⋅ Peiyuan Liu ⋅ Yujin Tang ⋅ Rong Jin ⋅ Liang Sun

Learning Koopman Representations with Controllability Guarantees

Keyan Miao ⋅ Han Wang ⋅ Xuda Ding ⋅ Konstantinos Gatsis ⋅ Andreas Krause ⋅ Antonis Papachristodoulou

Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting

Mert Kayaalp ⋅ Caner Turkmen ⋅ Oleksandr Shchur ⋅ Pedro Mercado ⋅ Abdul Fatir Ansari ⋅ Michael Bohlke-Schneider ⋅ Bernie Wang

Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow Prediction

Bairan Xiang ⋅ Chenguang Zhao ⋅ Huan Yu

Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction

Shiyan Hu ⋅ Jianxin Jin ⋅ Yang Shu ⋅ Peng Chen ⋅ Bin Yang ⋅ Guo

Reliable Probabilistic Forecasting of Irregular Time Series through Marginalization-Consistent Flows

Vijaya Krishna Yalavarthi ⋅ Randolf Scholz ⋅ Christian Klötergens ⋅ Kiran Madhusudhanan ⋅ Stefan Born ⋅ Lars Schmidt-Thieme

STABLE: Shift-Tolerant Allocation via Black-Litterman Using Conditional Diffusion Estimates

YEJUN SOUN ⋅ Hosung Lee ⋅ Suyoung Park ⋅ U Kang

Aurora: Towards Universal Generative Multimodal Time Series Forecasting

Xingjian Wu ⋅ Jianxin Jin ⋅ Wanghui Qiu ⋅ Peng Chen ⋅ Yang Shu ⋅ Bin Yang ⋅ Guo

DeNOTS: Stable Deep Neural ODEs for Time Series

Ilya Kuleshov ⋅ Evgenia Romanenkova ⋅ Vladislav Zhuzhel ⋅ Galina Boeva ⋅ Evgeni Vorsin ⋅ Alexey Zaytsev

TS-DDAE: A Novel Temporal-Spectral Denoising Diffusion AutoEncoder for Wireless Signal Recognition Model Pre-training

Yaoqi Liu ⋅ Jin Wang ⋅ HUI WANG ⋅ Chuan Shi

ST-HHOL: Spatio-Temporal Hierarchical Hypergraph Online Learning for Crime Prediction

Keqing Du ⋅ Yufan Kang ⋅ Xinyu Yang ⋅ Wei Shao

TIMESLIVER : SYMBOLIC-LINEAR DECOMPOSITION FOR EXPLAINABLE TIME SERIES CLASSIFICATION

Akash Pandey ⋅ Payal Mohapatra ⋅ Wei Chen ⋅ Qi Zhu ⋅ Sinan Keten

A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual Forecasting

Aoyu Liu ⋅ Yaying Zhang

CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter

Hanyin Cheng ⋅ Xingjian Wu ⋅ Yang Shu ⋅ Zhongwen Rao ⋅ Lujia Pan ⋅ Bin Yang ⋅ Guo

When Foundation Models are One-Liners: Limitations and Future Directions for Time Series Anomaly Detection

Xiaokun Zhu ⋅ Louis Carpentier ⋅ Mathias Verbeke

TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale

Malgorzata Gwiazda ⋅ Yifu Cai ⋅ Mononito Goswami ⋅ Arjun Choudhry ⋅ Artur Dubrawski

Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model?

Xu Zhang ⋅ Peng Wang ⋅ Wei Wang

PGRF-Net: A Prototype-Guided Relational Fusion Network for Diagnostic Multivariate Time-Series Anomaly Detection

Jahoon Jeong ⋅ Hyunsoo Yoon

Towards True Speech-to-Speech Models Without Text Guidance

Xingjian Zhao ⋅ Zhe Xu ⋅ Luozhijie Jin ⋅ Yang Wang ⋅ Hanfu Chen ⋅ Yaozhou Jiang ⋅ Ke Chen ⋅ Ruixiao Li ⋅ Mingshu Chen ⋅ Ruiming Wang ⋅ Wenbo Zhang ⋅ Qinyuan Cheng ⋅ Zhaoye Fei ⋅ Shimin Li ⋅ Xipeng Qiu

TSM-Bench: Detecting LLM-Generated Text in Real-World Wikipedia Editing Practices

Gerrit Quaremba ⋅ Elizabeth Black ⋅ Denny Vrandečić ⋅ Elena Simperl

SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

Thinh Pham ⋅ Nguyen Nguyen ⋅ Pratibha Zunjare ⋅ Weiyuan Chen ⋅ Yu-Min Tseng ⋅ Tu Vu

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

Junnan Dong ⋅ Siyu An ⋅ Yifei Yu ⋅ QIANWEN ZHANG ⋅ Linhao Luo ⋅ Xiao Huang ⋅ di yin ⋅ Yunsheng Wu ⋅ Xing Sun

LEXam: Benchmarking Legal Reasoning on 340 Law Exams

Yu Fan ⋅ Jingwei Ni ⋅ Jakob Merane ⋅ Yang Tian ⋅ Yoan Hermstrüwer ⋅ Yinya Huang ⋅ Mubashara Akhtar ⋅ Etienne Salimbeni ⋅ Florian Geering ⋅ Oliver Dreyer ⋅ Daniel Brunner ⋅ Markus Leippold ⋅ Mrinmaya Sachan ⋅ Alexander Stremitzer ⋅ Christoph Engel ⋅ Elliott Ash ⋅ Joel Niklaus

Echo: Towards Advanced Audio Comprehension via Audio-Interleaved Reasoning

Daiqing Wu ⋅ Xuan Zhang ⋅ Dongbao Yang ⋅ Jiashu Yao ⋅ Longfei Chen ⋅ Qingsong Liu ⋅ Sicheng Zhao ⋅ Can Ma ⋅ Yangyang Kang ⋅ Yu ZHOU

InnovatorBench: Evaluating Agents’ Ability to Conduct Innovative AI Research

Yunze Wu ⋅ Dayuan Fu ⋅ Weiye Si ⋅ Zhen Huang ⋅ Mohan Jiang ⋅ Keyu Li ⋅ Shijie Xia ⋅ Jie Sun ⋅ Tianze Xu ⋅ Yang Xiao ⋅ Pengrui Lu ⋅ Xiaojie Cai ⋅ Lyumanshan Ye ⋅ Wenhong Zhu ⋅ Xiangkun Hu ⋅ Pengfei Liu

Rethinking Reasoning in Document Ranking: Why Chain-of-Thought Falls Short

Xuan Lu ⋅ Haohang Huang ⋅ Rui Meng ⋅ Yaohui Jin ⋅ Wenjun Zeng ⋅ Xiaoyu Shen

Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning

Dayoon Ko ⋅ Jihyuk Kim ⋅ Haeju Park ⋅ Sohyeon Kim ⋅ Dahyun Lee ⋅ Yongrae Jo ⋅ Gunhee Kim ⋅ Moontae Lee ⋅ Kyungjae Lee

LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models

Weibin Liao ⋅ Xin Gao ⋅ Tianyu Jia ⋅ Rihong Qiu ⋅ Yifan Zhu ⋅ Yang Lin ⋅ Xinyu Ma ⋅ Junfeng Zhao ⋅ Yasha Wang

Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training

Junkai Zhang ⋅ Zihao Wang ⋅ Lin Gui ⋅ Swarnashree Mysore Sathyendra ⋅ Jaehwan Jeong ⋅ Victor Veitch ⋅ Wei Wang ⋅ Yunzhong He ⋅ Bing Liu ⋅ Lifeng Jin

Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies

Chunsan Hong ⋅ Seonho An ⋅ Min-Soo Kim ⋅ Jong Chul YE

Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation

Yanqi Dai ⋅ Yuxiang Ji ⋅ Xiao Zhang ⋅ Yong Wang ⋅ Xiangxiang Chu ⋅ Zhiwu Lu

Reliable Fine-Grained Evaluation of Natural Language Math Proofs

Wenjie Ma ⋅ Andrei Cojocaru ⋅ Neel Kolhe ⋅ Haihan Zhang ⋅ Vincent Zhuang ⋅ Matei Zaharia ⋅ Sewon Min

Fixing the Broken Compass: Diagnosing and Improving Inference-Time Reward Modeling

Jiachun Li ⋅ Pengfei Cao ⋅ Zhuoran Jin ⋅ Yubo Chen ⋅ Jiexin Xu ⋅ Huaijun Li ⋅ Xiaojian Jiang ⋅ Kang Liu ⋅ Jun Zhao

Do LLMs Forget What They Should? Evaluating In-Context Forgetting in Large Language Models

Yuli Qian ⋅ Zechuan Yang ⋅ Wenbiao Ding ⋅ Hongzhi Li ⋅ Yutao Xie

From Natural Alignment to Conditional Controllability in Multimodal Dialogue

Zeyu Jin ⋅ Songtao Zhou ⋅ Haoyu Wang ⋅ Minghao Tian ⋅ Kaifeng Yun ⋅ Zhuo Chen ⋅ Xiaoyu Qin ⋅ Jia Jia

Tools are under-documented: Simple Document Expansion Boosts Tool Retrieval

Xuan Lu ⋅ Haohang Huang ⋅ Rui Meng ⋅ Yaohui Jin ⋅ Wenjun Zeng ⋅ Xiaoyu Shen

Plan-Answer-Refine-on-Graph: Structured Planning and Self-Refinement for Large Language Model Reasoning on Knowledge Graphs

Yuxin Shi ⋅ Han Fu ⋅ Zhuo Li ⋅ Chenghao Liu ⋅ Xiaoxue Ren ⋅ Jianling Sun

REMem: Reasoning with Episodic Memory in Language Agent

Yiheng Shu ⋅ Padmaja Jonnalagedda ⋅ Xiang Gao ⋅ Bernal Jimenez Gutierrez ⋅ Weijian Qi ⋅ Kamalika Das ⋅ Huan Sun ⋅ Yu Su

Multimodal Policy Internalization for Conversational Agents

Zhenhailong Wang ⋅ Jiateng Liu ⋅ Amin Fazel ⋅ Ritesh Sarkhel ⋅ Xing Fan ⋅ Xiang Li ⋅ Chenlei Guo ⋅ Heng Ji ⋅ Ruhi Sarikaya

Improving Attributed Long-form Question Answering with Intent Awareness

Xinran Zhao ⋅ Aakanksha Naik ⋅ Jay DeYoung ⋅ Joseph Chee Chang ⋅ Jena Hwang ⋅ Sherry Wu ⋅ Varsha Kishore

Talk, Evaluate, Diagnose: User-aware Agent Evaluation with Automated Error Analysis

Penny Chong ⋅ Harshavardhan Abichandani ⋅ Jiyuan SHEN ⋅ Atin Ghosh ⋅ Min Moe ⋅ Yifan Mai ⋅ Daniel Dahlmeier

LightMem: Lightweight and Efficient Memory-Augmented Generation

Jizhan Fang ⋅ Xinle Deng ⋅ Haoming Xu ⋅ Ziyan Jiang ⋅ Yuqi Tang ⋅ Ziwen Xu ⋅ Shumin Deng ⋅ Yunzhi Yao ⋅ Mengru Wang ⋅ Shuofei Qiao ⋅ Huajun Chen ⋅ Ningyu Zhang

From Utterance to Vividity: Training Expressive Subtitle Translation LLM via Adaptive Local Preference Optimization

Chaoqun Cui ⋅ Shijing Wang ⋅ Liangbin Huang ⋅ Qingqing Gu ⋅ Zhaolong Huang ⋅ Xiao Zeng ⋅ Wenji Mao

How Reliable is Language Model Micro-Benchmarking?

Gregory Yauney ⋅ Shahzaib Warraich ⋅ Swabha Swayamdipta

PrismAudio: Decomposed Chain-of-Thought and Multi-dimensional Rewards for Video-to-Audio Generation

Huadai Liu ⋅ Kaicheng Luo ⋅ Wen Wang ⋅ Qian Chen ⋅ Peiwen Sun ⋅ Rongjie Huang ⋅ Xiangang Li ⋅ Jieping Ye ⋅ Wei Xue

The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical Proofs

Jasper Dekoninck ⋅ Ivo Petrov ⋅ Kristian Minchev ⋅ Miroslav Marinov ⋅ Maria Drencheva ⋅ Lyuba Konova ⋅ Milen Shumanov ⋅ Kaloyan Tsvetkov ⋅ Nikolay Drenchev ⋅ Lazar Todorov ⋅ Kalina Nikolova ⋅ Nikolay Georgiev ⋅ Vanesa Kalinkova ⋅ Margulan Ismoldayev ⋅ Mislav Balunovic ⋅ Martin Vechev

Speech World Model: Causal State–Action Planning with Explicit Reasoning for Speech

Xuanru Zhou ⋅ Jiachen Lian ⋅ Henry Hong ⋅ Xinyi Yang ⋅ Gopala Anumanchipalli

Beyond Pass@ 1: Self-Play with Variational Problem Synthesis Sustains RLVR

Xiao Liang ⋅ Zhong-Zhi Li ⋅ Yeyun Gong ⋅ yelong shen ⋅ Yingnian Wu ⋅ Zhijiang Guo ⋅ Weizhu Chen

Credit-Budgeted ICPC-Style Coding: When Agents Must Pay for Every Decision

Lingfeng Zhou ⋅ Junhao Shi ⋅ Jin Gao ⋅ Dequan Wang

LLMs Get Lost In Multi-Turn Conversation

Philippe Laban ⋅ Hiroaki Hayashi ⋅ Yingbo Zhou ⋅ Jennifer Neville

Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles

Qingyan Wei ⋅ Yaojie Zhang ⋅ Zhiyuan Liu ⋅ Puyu Zeng ⋅ Yuxuan Wang ⋅ Biqing Qi ⋅ Dongrui Liu ⋅ Linfeng Zhang

Towards Reliable Benchmarking: A Contamination Free, Controllable Evaluation Framework for Multi-step LLM Function Calling

Seiji Maekawa ⋅ Jackson Hassell ⋅ Pouya Pezeshkpour ⋅ Tom Mitchell ⋅ Estevam Hruschka

Toward Complex-Valued Neural Networks for Waveform Generation

Hyung-Seok Oh ⋅ Deok-Hyeon Cho ⋅ Seung-Bin Kim ⋅ Seong-Whan Lee

FSPO: Few-Shot Optimization of Synthetic Preferences Effectively Personalizes to Real Users

Anikait Singh ⋅ Sheryl Hsu ⋅ Kyle Hsu ⋅ Eric Mitchell ⋅ Stefano Ermon ⋅ Tatsunori Hashimoto ⋅ Archit Sharma ⋅ Chelsea Finn

LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation

Ahmadreza Jeddi ⋅ Marco Ciccone ⋅ Babak Taati

MENLO: From Preferences to Proficiency – Evaluating and Modeling Native-like Quality Across 47 Languages

Chenxi Whitehouse ⋅ Sebastian Ruder ⋅ Tony Lin ⋅ Oksana Kurylo ⋅ Haruka Takagi ⋅ Janice Lam ⋅ Nicolò Busetto ⋅ Denise Diaz

DiscoX: Benchmarking Discourse-Level Translation in Expert Domains

Xiying ZHAO ⋅ Zhoufutu Wen ⋅ Zhixuan Chen ⋅ Jingzhe Ding ⋅ Jianpeng Jiao ⋅ Shuai Li ⋅ Xi Li ⋅ Danni Liang ⋅ Shengda Long ⋅ Qianqian Liu ⋅ Xianbo Wu ⋅ Hongwan Gao ⋅ Xiang Gao ⋅ LIANG HU ⋅ Jiashuo Liu ⋅ Liumengyun ⋅ Weiran Shi ⋅ Chenghao Yang ⋅ Qianyu Yang ⋅ Xuanliang Zhang ⋅ Ge Zhang ⋅ Wenhao Huang

Efficient Audio-Visual Speech Separation with Discrete Lip Semantics and Multi-Scale Global-Local Attention

Kai Li ⋅ Kejun Gao ⋅ Xiaolin Hu

End-to-end Listen, Look, Speak and Act

Siyin Wang ⋅ Wenyi Yu ⋅ Xianzhao Chen ⋅ Xiaohai Tian ⋅ Jun Zhang ⋅ Lu Lu ⋅ Yuxuan Wang ⋅ Chao Zhang

Gogo: Group-wise granularity-ordered codec for stable and efficient speech generation

Weidong Chen ⋅ Helen Meng ⋅ Xixin Wu

HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation

Peilin Wu ⋅ Mian Zhang ⋅ Kun Wan ⋅ Wentian Zhao ⋅ Kaiyu He ⋅ Xinya Du ⋅ Zhiyu Chen

Towards Understanding Valuable Preference Data for Large Language Model Alignment

Zizhuo Zhang ⋅ Qizhou Wang ⋅ Shanshan Ye ⋅ Jianing ZHU ⋅ Jiangchao Yao ⋅ Bo Han ⋅ Masashi Sugiyama

FlexiVoice: Enabling Flexible Style Control in Zero-Shot TTS with Natural Language Instructions

DEKUN CHEN ⋅ Xueyao Zhang ⋅ Yuancheng Wang ⋅ Kenan Dai ⋅ Li Ma ⋅ Zhizheng Wu

Rethinking LLM Reasoning: From Explicit Trajectories to Latent Representations

Cong Jiang ⋅ Xiaofeng Zhang ⋅ Fangzhi Zhu ⋅ Xiaowei Chen ⋅ Junxiong Zhu ⋅ Zheng Zhang

PT$^2$-LLM: Post-Training Ternarization for Large Language Models

Xianglong Yan ⋅ ChengZhu Bao ⋅ Zhiteng Li ⋅ Tianao Zhang ⋅ Kaicheng Yang ⋅ Haotong Qin ⋅ Ruobing Xie ⋅ Samm Sun ⋅ Yulun Zhang

Scaling Generalist Data-Analytic Agents

Shuofei Qiao ⋅ Yanqiu Zhao ⋅ Zhisong Qiu ⋅ Xiaobin Wang ⋅ Jintian Zhang ⋅ Zhao Bin ⋅ Ningyu Zhang ⋅ Yong Jiang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Huajun Chen

FlowSearcher: Synthesizing Memory-Guided Agentic Workflows for Web Information Seeking

Keyi Xiang ⋅ Zeyu Feng ⋅ Zhuoyi Lin ⋅ YUEMING LYU ⋅ Boyuan Shi ⋅ Yew-Soon Ong ⋅ Ivor Tsang ⋅ Haiyan Yin

Long Chain-of-Thought Reasoning Across Languages

Josh Barua ⋅ Seun Eisape ⋅ Kayo Yin ⋅ Alane Suhr

Representational Alignment Across Model Layers and Brain Regions with Multi-Level Optimal Transport

Shaan Shah ⋅ Meenakshi Khosla

Beyond Grid-Locked Voxels: Neural Response Functions for Continuous Brain Encoding

Haomiao Chen ⋅ Keith Jamison ⋅ Mert Sabuncu ⋅ Amy Kuceyeski

Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy Research

Chenda Duan ⋅ Yipeng Zhang ⋅ Sotaro Kanai ⋅ Yuanyi Ding ⋅ Atsuro Daida ⋅ Pengyue Yu ⋅ Tiancheng Zheng ⋅ Naoto Kuroda ⋅ Shaun Hussain ⋅ Eishi Asano ⋅ Hiroki Nariai ⋅ Vwani Roychowdhury

Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion

Yule Wang ⋅ Joseph Yu ⋅ Chengrui Li ⋅ Weihan Li ⋅ Anqi Wu

Emergence of Spatial Representation in an Actor-Critic Agent with Hippocampus-Inspired Sequence Generator

Xiao-Xiong Lin ⋅ Yuk-Hoi Yiu ⋅ Christian Leibold

Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance

Lorenzo Tausani ⋅ Paolo Muratore ⋅ Morgan B Talbot ⋅ Giacomo Amerio ⋅ Gabriel Kreiman ⋅ Davide Zoccolan

Hippoformer: Integrating Hippocampus-inspired Spatial Memory with Transformers

Tiantian Li ⋅ Xingxing Cao ⋅ Yifei Wang ⋅ Xiaojiao Yang ⋅ Xiaolong Zou ⋅ Bo Hong

An Information-Theoretic Framework For Optimizing Experimental Design To Distinguish Probabilistic Neural Codes

Po-Chen Kuo ⋅ Edgar Walker

Autoregressive Visual Decoding from EEG Signals

Sicheng Dai ⋅ Hongwang Xiao ⋅ Shan Yu ⋅ Qiwei Ye

Model-Guided Microstimulation Steers Primate Visual Behavior

Johannes Mehrer ⋅ Ben Lonnqvist ⋅ Anna Mitola ⋅ Paolo Papale ⋅ Martin Schrimpf

SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding

Juhyeon Park ⋅ Peter Kim ⋅ Jiook Cha ⋅ Shinjae Yoo ⋅ Taesup Moon

Learning Brain Representation with Hierarchical Visual Embeddings

Jiawen Zheng ⋅ Haonan Jia ⋅ MING LI ⋅ Yuhui Zheng ⋅ Yufeng Zeng ⋅ Yang Gao ⋅ Chen Liang

MoGen: Detailed Neuronal Morphology Generation via Point Cloud Flow Matching

Franz Rieger ⋅ Jan-Matthis Lueckmann ⋅ Viren Jain ⋅ Michal Januszewski

Inducing Dyslexia in Vision Language Models

Melika Honarmand ⋅ Ayati Sharma ⋅ Badr AlKhamissi ⋅ Johannes Mehrer ⋅ Martin Schrimpf

Riemannian High-Order Pooling for Brain Foundation Models

Chen Hu ⋅ Ziheng Chen ⋅ Rui Wang ⋅ Yefeng Zheng ⋅ Nicu Sebe

A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks

Qianyi Bai ⋅ Wang ⋅ Qiang YU

Tokenizing Single-Channel EEG with Time-Frequency Motif Learning

Jathurshan Pradeepkumar ⋅ Xihao Piao ⋅ Zheng Chen ⋅ Jimeng Sun

Learning Mixtures of Linear Dynamical Systems via Hybrid Tensor-EM Method

Lulu Gong ⋅ Shreya Saxena

Accelerating Benchmarking of Functional Connectivity Modeling via Structure-aware Core-set Selection

Ling Zhan ⋅ Zhen Li ⋅ Junjie Huang ⋅ Tao Jia

AutoMetrics: Approximate Human Judgments with Automatically Generated Evaluators

Michael J Ryan ⋅ Yanzhe Zhang ⋅ Amol Salunkhe ⋅ Yi Chu ⋅ Di Xu ⋅ Diyi Yang

TINY BUT MIGHTY: A SOFTWARE-HARDWARE CO- DESIGN APPROACH FOR EFFICIENT MULTIMODAL IN- FERENCE ON BATTERY-POWERED SMALL DEVICES

Yilong Li ⋅ Yijing Zeng ⋅ Shuai Zhang ⋅ Hao Zhang ⋅ Xinmiao Xiong ⋅ Jingyu Liu ⋅ Pan Hu ⋅ Suman Banerjee

MIAM: Modality Imbalance-Aware Masking for Multimodal Ecological Applications

Robin Zbinden ⋅ Wesley Monteith-Finas ⋅ Gencer Sumbul ⋅ Nina van Tiel ⋅ Chiara Vanalli ⋅ Devis Tuia

Real-Time Reasoning Agents in Evolving Environments

Yule Wen ⋅ Yixin Ye ⋅ Yanzhe Zhang ⋅ Diyi Yang ⋅ Hao Zhu

FlowAD: Ego-Scene Interactive Modeling for Autonomous Driving

Mingzhe Guo ⋅ Yixiang Yang ⋅ Chuanrong Han ⋅ Rufeng Zhang ⋅ Shirui Li ⋅ Ji Wan ⋅ Zhipeng Zhang

AetherCode: Evaluating LLMs’ Ability to Win In Premier Programming Competitions

Zihan Wang ⋅ Jiaze Chen ⋅ Zhicheng Liu ⋅ Haojie Pan ⋅ Markus Mak ⋅ Yidi Du ⋅ Geonsik Moon ⋅ Aaron Tua ⋅ Kunshuo Peng ⋅ Jiayi Lu ⋅ Boqian Zou ⋅ Chenyang Ran ⋅ GuangTian ⋅ Shoutai Zhu ⋅ Duan Yeheng ⋅ Zhenghui Kang ⋅ Zhenxing Lin ⋅ Lishangshu ⋅ Qiang Luo ⋅ Qingshen Long ⋅ Zhiyong Chen ⋅ Yihan Xiao ⋅ Yurong Wu ⋅ Daoguang Zan ⋅ Mingxuan Wang ⋅ Ming Ding

Operator Theory-Driven Autoformulation of MDPs for Control of Queueing Systems

Victor Baillet ⋅ Yuanzhang Xiao ⋅ Nicolás Astorga ⋅ Mihaela van der Schaar

WebGen-Agent: Enhancing Interactive Website Generation with Multi-Level Feedback and Step-Level Reinforcement Learning

Zimu Lu ⋅ Houxing Ren ⋅ Yunqiao Yang ⋅ Ke Wang ⋅ Zhuofan Zong ⋅ Junting Pan ⋅ Mingjie Zhan ⋅ Hongsheng Li

AirQA: A Comprehensive QA Dataset for AI Research with Instance-Level Evaluation

Tiancheng Huang ⋅ Ruisheng Cao ⋅ Yuxin Zhang ⋅ Zhangyi Kang ⋅ Zijian Wang ⋅ Chenrun Wang ⋅ Yijie LUO ⋅ Hang Zheng ⋅ Lirong Qian ⋅ Lu Chen ⋅ Kai Yu

Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via DeepSeek

Xueyang Li ⋅ Jiahao Li ⋅ Yu Song ⋅ Yunzhong Lou ⋅ Xiangdong Zhou

MobileIPL: Enhancing Mobile Agents Thinking Process via Iterative Preference Learning

huang kun ⋅ Weikai Xu ⋅ Yuxuan Liu ⋅ Quandong Wang ⋅ Pengzhi Gao ⋅ WEI LIU ⋅ Jian Luan ⋅ Bin Wang ⋅ Bo An

Steering Autoregressive Music Generation with Recursive Feature Machines

Daniel Zhao ⋅ Daniel Beaglehole ⋅ Julian McAuley ⋅ Taylor Berg-Kirkpatrick ⋅ Zachary Novack

Token-Efficient Long-Term Interest Sketching and Internalized Reasoning for LLM-based Recommendation

Zhihao Ding ⋅ Jinming Li ⋅ Shuai Mu ⋅ Jieming Shi

ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG Benchmarks

Liyang He ⋅ Yuren Zhang ⋅ Ziwei Zhu ⋅ zhenghuili ⋅ Shiwei Tong

QLCoder: A Query Synthesizer For Static Analysis of Security Vulnerabilities

Claire Wang ⋅ Ziyang Li ⋅ Saikat Dutta ⋅ Mayur Naik

A Problem-Oriented Perspective and Anchor Verification for Code Optimization

Tong Ye ⋅ Tengfei Ma ⋅ Xuhong Zhang ⋅ Hang Yu ⋅ Jianwei Yin ⋅ Wenhai Wang

Mix-Ecom: Towards Mixed-Type E-Commerce Dialogues with Complex Domain Rules

Chenyu Zhou ⋅ Xiaoming Shi ⋅ Hui Qiu ⋅ Yankai Jiang ⋅ ShaoGuo Liu ⋅ Tingting Gao ⋅ Haitao Leng ⋅ Xiawu Zheng ⋅ Rongrong Ji

Evolving Graph Structured Programs for Circuit Generation with Large Language Models

Yinqi Bai ⋅ Jie Wang ⋅ Lei Chen ⋅ Zhihai Wang ⋅ Yumeng Li ⋅ Mingxuan Yuan ⋅ Jianye Hao ⋅ Defu Lian ⋅ Enhong Chen

K²-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control

Zhe Wu ⋅ Donglin Mo ⋅ Hongjin Lu ⋅ Junliang Xing ⋅ Jianheng Liu ⋅ Yuheng Jing ⋅ Kai Li ⋅ Kun Shao ⋅ Jianye Hao ⋅ Yuanchun Shi

Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning

Hao Tan ⋅ jun lan ⋅ Zichang Tan ⋅ Senyuan Shi ⋅ Ajian Liu ⋅ Chuanbiao Song ⋅ Huijia Zhu ⋅ Weiqiang Wang ⋅ Jun Wan ⋅ Zhen Lei

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Bo Jiang ⋅ Shaoyu Chen ⋅ Hao Gao ⋅ Bencheng Liao ⋅ Qian Zhang ⋅ Wenyu Liu ⋅ Xinggang Wang

T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models

Minki Kang ⋅ Jongwon Jeong ⋅ Jaewoong Cho

Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization

Xinxin Liu ⋅ Ming Li ⋅ Zonglin Lyu ⋅ Yuzhang Shang ⋅ Chen Chen

Mixture-of-World Models: Scaling Multi-Task Reinforcement Learning with Modular Latent Dynamics

Boxuan Zhang ⋅ Weipu Zhang ⋅ Zhaohan Feng ⋅ Wei Xiao ⋅ Jian Sun ⋅ Jie Chen ⋅ Gang Wang

NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching

Run Luo ⋅ Xiaobo Xia ⋅ Lu Wang ⋅ Longze Chen ⋅ Renke Shan ⋅ Jing Luo ⋅ Min Yang ⋅ Tat-Seng Chua

Predicting Kernel Regression Learning Curves from Only Raw Data Statistics

Dhruva Karkada ⋅ Joseph Turnbull ⋅ Yuxi Liu ⋅ James Simon

DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment

Haoyou Deng ⋅ Keyu Yan ⋅ Chaojie Mao ⋅ Xiang Wang ⋅ Yu Liu ⋅ Changxin Gao ⋅ Nong Sang

Progressive Gaussian Transformer with Anisotropy-aware Sampling for Open Vocabulary Occupancy Prediction

Chi Yan ⋅ Dan Xu

SONA: Learning Conditional, Unconditional, and Matching-Aware Discriminator

Yuhta Takida ⋅ Satoshi Hayakawa ⋅ Takashi Shibuya ⋅ Masaaki Imaizumi ⋅ Naoki Murata ⋅ Bac Nguyen ⋅ Toshimitsu Uesaka ⋅ Chieh-Hsin Lai ⋅ Yuki Mitsufuji

Diverse Dictionary Learning

Yujia Zheng ⋅ Zijian Li ⋅ Shunxing Fan ⋅ Andrew Gordon Wilson ⋅ Kun Zhang

Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Egor Cherepanov ⋅ Nikita Kachaev ⋅ Artem Zholus ⋅ Alexey Kovalev ⋅ Aleksandr Panov

Robust Preference Alignment via Directional Neighborhood Consensus

Ruochen Mao ⋅ Yuling Shi ⋅ Xiaodong Gu ⋅ Jiaheng Wei

FACT: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations

Enric Adserà ⋅ Neil Mallinar ⋅ James Simon ⋅ Misha Belkin

Adaptive Methods Are Preferable in High Privacy Settings: An SDE Perspective

Enea Monzio Compagnoni ⋅ Alessandro Stanghellini ⋅ Rustem Islamov ⋅ Aurelien Lucchi ⋅ Anastasia Koloskova

Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning

Ziqing Fan ⋅ Yuqiao Xian ⋅ Yan Sun ⋅ Ke Shen ⋅ Li Shen

Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation

Yue Liao ⋅ Pengfei Zhou ⋅ Siyuan Huang ⋅ Donglin Yang ⋅ Shengcong Chen ⋅ Yuxin Jiang ⋅ Yue Hu ⋅ Si Liu ⋅ Jianlan Luo ⋅ Liliang Chen ⋅ Shuicheng YAN ⋅ Maoqing Yao ⋅ Guanghui Ren

Reinforced Latent Reasoning for LLM-based Recommendation

Yang Zhang ⋅ Wenxin Xu ⋅ Xiaoyan Zhao ⋅ Wenjie Wang ⋅ Fuli Feng ⋅ Xiangnan He ⋅ Tat-Seng Chua

World2Minecraft: Occupancy-Driven Simulated Scenes Construction

Lechao Zhang ⋅ Haoran Xu ⋅ Jingyu Gong ⋅ Xuhong Wang ⋅ Yuan Xie ⋅ Xin Tan

$\mathbf{Li_2}$: A Framework on Dynamics of Feature Emergence and Delayed Generalization

Yuandong Tian

LFQA-E: Carefully Benchmarking Long-form QA Evaluation

Yuchen Fan ⋅ Chen Ling ⋅ Xin Zhong ⋅ Shuo Zhang ⋅ Heng Zhou ⋅ Yuchen Zhang ⋅ Mingyu Liang ⋅ Chengxing Xie ⋅ Ermo Hua ⋅ Zhizhou He ⋅ Cheng Huang ⋅ Gang Chen ⋅ Ning Ding ⋅ Bowen Zhou

FastVGGT: Fast Visual Geometry Transformer

You Shen ⋅ Zhipeng Zhang ⋅ Yansong Qu ⋅ Xiawu Zheng ⋅ Jiayi Ji ⋅ Shengchuan Zhang ⋅ Liujuan Cao

TrajTok: What makes for a good trajectory tokenizer in behavior generation?

Zhiyuan Zhang ⋅ Xiaosong Jia ⋅ Guanyu Chen ⋅ Qifeng Li ⋅ Zuxuan Wu ⋅ Yu-Gang Jiang ⋅ Junchi Yan

Pretraining Scaling Laws for Generative Evaluations of Language Models

Rylan Schaeffer ⋅ Noam Levi ⋅ Brando Miranda ⋅ Sanmi Koyejo

Fewer Battles, More Gain: An Information-Efficient Framework for Arena-based LLM Evaluation

Zirui Liu ⋅ Xianquan Wang ⋅ Yan Zhuang ⋅ Jiatong Li ⋅ Qi Liu ⋅ Shuanghong Shen ⋅ Mingyue Cheng ⋅ Shijin Wang

Curvature-Guided Task Synergy for Skeleton based Temporal Action Segmentation

Guozhang Li ⋅ Xinran Duan ⋅ Mei Wang ⋅ Lizhi Wang ⋅ Hua Huang

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning

Tunyu Zhang ⋅ Haizhou Shi ⋅ Yibin Wang ⋅ Hengyi Wang ⋅ Xiaoxiao He ⋅ Zhuowei Li ⋅ Haoxian Chen ⋅ Ligong Han ⋅ Kai Xu ⋅ Huan Zhang ⋅ Dimitris Metaxas ⋅ Hao Wang

Tucker-FNO: Tensor Tucker-Fourier Neural Operator and its Universal Approximation Theory

Guancheng Zhou ⋅ Zelin Zeng ⋅ Yisi Luo ⋅ Qi Xie ⋅ Deyu Meng

TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use

Pengfei He ⋅ Zhenwei Dai ⋅ Bing He ⋅ Hui Liu ⋅ Xianfeng Tang ⋅ Hanqing Lu ⋅ Juanhui Li ⋅ Jiayuan Ding ⋅ Subhabrata Mukherjee ⋅ Suhang Wang ⋅ Yue Xing ⋅ Jiliang Tang ⋅ Benoit Dumoulin

Quantitative Bounds for Length Generalization in Transformers

Zachary Izzo ⋅ Eshaan Nichani ⋅ Jason Lee

How does the optimizer implicitly bias the model merging loss landscape?

Chenxiang Zhang ⋅ Alexander Theus ⋅ Damien Teney ⋅ Antonio Orvieto ⋅ Jun Pang ⋅ Sjouke Mauw

Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making

Fan Feng ⋅ Selena Ge ⋅ Minghao Fu ⋅ Zijian Li ⋅ Yujia Zheng ⋅ Zeyu Tang ⋅ Yingyao Hu ⋅ Biwei Huang ⋅ Kun Zhang

CaReBench: A Fine-grained Benchmark for Video Captioning and Retrieval

Yifan Xu ⋅ Xinhao Li ⋅ Yichun Yang ⋅ Desen Meng ⋅ Rui Huang ⋅ Limin Wang

Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning

Haozhe Wang ⋅ Qixin Xu ⋅ Che Liu ⋅ Junhong Wu ⋅ Fangzhen Lin ⋅ Wenhu Chen

OptimalThinkingBench: Evaluating Over and Underthinking in LLMs

Pranjal Aggarwal ⋅ Seungone Kim ⋅ Jack Lanchantin ⋅ Sean Welleck ⋅ Jason E Weston ⋅ Ilia Kulikov ⋅ Swarnadeep Saha

Much Ado About Noising: Dispelling the Myths of Generative Robotic Control

Chaoyi Pan ⋅ Giridharan Anantharaman ⋅ Nai-Chieh Huang ⋅ Claire Jin ⋅ Daniel Pfrommer ⋅ Chenyang Yuan ⋅ Frank Permenter ⋅ Guannan Qu ⋅ Nicholas Boffi ⋅ Guanya Shi ⋅ Max Simchowitz

Frequency-Balanced Retinal Representation Learning with Mutual Information Regularization

Seunghoon Lee ⋅ Seongjae Kang ⋅ Inhyuk Park ⋅ Gitaek Kwon ⋅ Jihyeon Baek ⋅ Doohyun Park

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning

Yuhao Wu ⋅ Yushi Bai ⋅ Zhiqiang Hu ⋅ Roy Ka-Wei Lee ⋅ Juanzi Li

Scaling Group Inference for Diverse and High-Quality Generation

Gaurav Parmar ⋅ Or Patashnik ⋅ Daniil Ostashev ⋅ Kuan-Chieh Wang ⋅ Kfir Aberman ⋅ Srinivasa Narasimhan ⋅ Jun-Yan Zhu

Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems

Qifan Zhang ⋅ Jianhao Ruan ⋅ AOCHUAN CHEN ⋅ Kang ZENG ⋅ Nuo Chen ⋅ Jing Tang ⋅ Jia Li

Any-step Generation via N-th Order Recursive Consistent Velocity Field Estimation

Peng Sun ⋅ Tao Lin

Understanding and Relaxing the Limitations of Transformers for Linear Algebra

Andres Potapczynski ⋅ Alex Ali ⋅ Andrew Gordon Wilson

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas

Chenglei Si ⋅ Tatsunori Hashimoto ⋅ Diyi Yang

Humanline: Online Alignment as Perceptual Loss

Sijia Liu ⋅ Niklas Muennighoff ⋅ Kawin Ethayarajh

AdS-GNN - a Conformally Equivariant Graph Neural Network

Maksim Zhdanov ⋅ Nabil Iqbal ⋅ Erik Bekkers ⋅ Patrick Forré

Scalable Chain of Thoughts via Elastic Reasoning

Yuhui Xu ⋅ Hanze Dong ⋅ Lei Wang ⋅ Doyen Sahoo ⋅ Junnan Li ⋅ Caiming Xiong

ParaS2S: Benchmarking and Aligning Spoken Language Models for Paralinguistic-aware Speech-to-Speech Interaction

Shu-wen Yang ⋅ Ming Tu ⋅ Ting-Wei Liu ⋅ Xinghua Qu ⋅ Hung-yi Lee ⋅ Lu Lu ⋅ Yuxuan Wang ⋅ Yonghui Wu

Graph Representational Learning: When Does More Expressivity Hurt Generalization?

Sohir Maskey ⋅ Raffaele Paolino ⋅ Fabian Jogl ⋅ Gitta Kutyniok ⋅ Johannes Lutzeyer

Fastcar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge

Xuan Shen ⋅ Weize Ma ⋅ Yufa Zhou ⋅ Enhao Tang ⋅ Yanyue Xie ⋅ Zhengang Li ⋅ Yifan Gong ⋅ Quanyi Wang ⋅ Henghui Ding ⋅ Yiwei Wang ⋅ Pu Zhao ⋅ Jun Lin ⋅ Jiuxiang Gu

Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models

Xinyue Ai ⋅ Yutong (Kelly) He ⋅ Albert Gu ⋅ Russ Salakhutdinov ⋅ Zico Kolter ⋅ Nicholas Boffi ⋅ Max Simchowitz

Towards Greater Leverage: Scaling Laws for Efficient Mixture-of-Experts Language Models

Changxin Tian ⋅ Kunlong Chen ⋅ Jia Liu ⋅ Ziqi Liu ⋅ Zhiqiang Zhang ⋅ JUN ZHOU

Analyzing and Evaluating Unbiased Language Model Watermark

Yihan Wu ⋅ Xuehao Cui ⋅ Ruibo Chen ⋅ Heng Huang

Fast Data Mixture Optimization via Gradient Descent

Haoru Tan ⋅ Sitong Wu ⋅ Yanfeng Chen ⋅ Jun Xia ⋅ Ruobing Xie ⋅ Bin Xia ⋅ Samm Sun ⋅ XIAOJUAN QI

CAR-LoRA: Training Compression-Aware and Robust LoRA Adapters for Evolving LLMs

Rana Muhammad Shahroz Khan ⋅ Zhen Tan ⋅ Ruichen Zhang ⋅ Hua Wei ⋅ Tianlong Chen ⋅ Charles Fleming

RD-HRL: Generating Reliable Sub-Goals for Long-Horizon Sparse-Reward Tasks

Yixiang Shan ⋅ Haipeng Liu ⋅ Ting Long ⋅ Yi Chang

Consistent Low-Rank Approximation

David Woodruff ⋅ Samson Zhou

Three Forward, One Backward: Memory-Efficient Full-Rank Fine-Tuning of Large Models via Extra Forward Passes

Jia Zhang ⋅ Yu Bai ⋅ Hualin Zhang ⋅ Tianshuo Chen ⋅ Zhaogeng Liu ⋅ Zhiqiang Xu ⋅ Yi Chang ⋅ Bin Gu

MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning

Peng Xia ⋅ Jinglu Wang ⋅ Yibo Peng ⋅ Kaide Zeng ⋅ Zihan Dong ⋅ Xian Wu ⋅ Xiangru Tang ⋅ Hongtu Zhu ⋅ Yun Li ⋅ Linjun Zhang ⋅ Shujie LIU ⋅ Yan Lu ⋅ Huaxiu Yao

DrugTrail: Interpretable Drug Discovery via Structured Reasoning and Druggability‑Tailored Preference Optimization

Yurou Liu ⋅ Mingyang Li ⋅ Xinyuan Zhu ⋅ Rui Jiao ⋅ Yiming Dong ⋅ Xinyu Tang ⋅ Yang Liu ⋅ Jieping Ye ⋅ Bing Su ⋅ Zheng Wang

Distributed Algorithms for Euclidean Clustering

Vincent Cohen-Addad ⋅ Liudeng Wang ⋅ David Woodruff ⋅ Samson Zhou

Probabilistic Circuits for Uncertainty Quantification

Maternus Herold ⋅ Konstantin Leonard Freiherr von Gaisberg-Helfenberg

Learning Deformable Body Interactions With Adaptive Spatial Tokenization

Hao Wang · Yu Liu · Daniel Biggs · Haoru Wang · Jiandong Yu · Ping Huang

Discrete Audio Tokens: More Than a Survey!

Pooneh Mousavi · Gallil Maimon · Adel Moumen · Darius Petermann · Jiatong Shi · Haibin Wu · Haici Yang · Anastasia Kuznetsova · Artem Ploujnikov · Ricard Marxer · Bhu- vana Ramabhadran · Benjamin Elizalde · Loren Lugosch · Jinyu Li · Cem Subakan · Phil Woodland · Minje Kim · Hung-yi Lee · Shinji Watanabe · Yossi Adi · Mirco Ravanelli

Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors

Jeongwhan Choi ⋅ Jongwoo Kim ⋅ Woosung Kang ⋅ Noseong Park

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Poster

Poster Session 1 Pavilion 4

10:30 AM - 1:00 PM

405 Events in this session

Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models

Kaiyuan Deng ⋅ Gen Li ⋅ Yang Xiao ⋅ Bo Hui ⋅ Xiaolong Ma

Dynamic Classifier-Free Diffusion Guidance via Online Feedback

Pinelopi Papalampidi ⋅ Olivia Wiles ⋅ Ira Ktena ⋅ Aleksandar Shtedritski ⋅ Emanuele Bugliarello ⋅ Ivana Kajić ⋅ Isabela Albuquerque ⋅ Aida Nematzadeh

I-DRUID: Layout to image generation via instance-disentangled representation and unpaired data

Fengxiang Yang ⋅ Tianyi Zheng ⋅ Bangjie Yin ⋅ Shice Liu ⋅ Jinwei Chen ⋅ Peng-Tao Jiang ⋅ Bo Li

Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-Tuning

Chenjian Gao ⋅ Lihe Ding ⋅ Cai ⋅ Zhanpeng Huang ⋅ Zibin Wang ⋅ Tianfan Xue

SatDreamer360: Multiview-Consistent Generation of Ground-Level Scenes from Satellite Imagery

Xianghui Ze ⋅ Beiyi Zhu ⋅ Zhenbo Song ⋅ Jianfeng Lu ⋅ Yujiao Shi

Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta Guidance

Inho Kong ⋅ Sojin Lee ⋅ Youngjoon Hong ⋅ Hyunwoo Kim

FlowGen: Synthesizing Diverse Flowcharts to Enhance and Benchmark MLLM Reasoning

Kaiwen Shi ⋅ Sichen Liu ⋅ Ziyue Lin ⋅ Hangrui Guo ⋅ Gong Cheng

Story-Iter: A Training-free Iterative Paradigm for Long Story Visualization

Jiawei Mao ⋅ Xiaoke Huang ⋅ Yunfei Xie ⋅ Yuanqi Chang ⋅ MUDE HUI ⋅ Bingjie Xu ⋅ Zeyu Zheng ⋅ Zirui Wang ⋅ Cihang Xie ⋅ Yuyin Zhou

FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing

Jeongsol Kim ⋅ Yeobin Hong ⋅ Jonghyun Park ⋅ Jong Chul YE

LapFlow: Laplacian Multi-scale Flow Matching for Generative Modeling

Zelin Zhao ⋅ Petr Molodyk ⋅ Haotian Xue ⋅ Yongxin Chen

Long-Text-to-Image Generation via Compositional Prompt Decomposition

Jen-Yuan Huang ⋅ Tong Lin ⋅ Yilun Du

Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?

Ouxiang Li ⋅ Yuan Wang ⋅ Xinting Hu ⋅ Huijuan Huang ⋅ Rui Chen ⋅ Jiarong Ou ⋅ Xin Tao ⋅ Pengfei Wan ⋅ XIAOJUAN QI ⋅ Fuli Feng

FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching

Divya Jyoti Bajpai ⋅ Shubham Agarwal ⋅ Apoorv Saxena ⋅ Kuldeep Sharad Kulkarni ⋅ Subrata Mitra ⋅ Manjesh Kumar Hanawal

UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers

Min Zhao ⋅ Hongzhou Zhu ⋅ Yingze Wang ⋅ Bokai Yan ⋅ Jintao Zhang ⋅ Guande He ⋅ Ling Yang ⋅ Chongxuan Li ⋅ Jun Zhu

Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression

Amit Vaisman ⋅ Guy Ohayon ⋅ Hila Manor ⋅ Miki Elad ⋅ Tomer Michaeli

Monocular Normal Estimation via Shading Sequence Estimation

Zongrui Li ⋅ Xinhua Ma ⋅ Minghui HU ⋅ Yunqing Zhao ⋅ Yingchen Yu ⋅ Qian Zheng ⋅ Chang Liu ⋅ Jiang Xudong ⋅ Song Bai

Overshoot and Shrinkage in Classifier-Free Guidance: From Theory to Practice

Krunoslav Lehman Pavasovic ⋅ Jakob Verbeek ⋅ Giulio Biroli ⋅ Marc Mezard

ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks

Samin Mahdizadeh Sani ⋅ Max Ku ⋅ Nima Jamali ⋅ Matina Sani ⋅ Paria Khoshtab ⋅ Wei-Chieh Sun ⋅ Parnian Fazel ⋅ Zhi Rui Tam ⋅ Thomas Chong ⋅ Edisy Kin Wai Chan ⋅ Donald Tsang ⋅ Chiao-Wei Hsu ⋅ Ting Lam ⋅ Ho Ng ⋅ Chiafeng Chu ⋅ Chak-Wing Mak ⋅ Keming Wu ⋅ Wong Hiu-Tung ⋅ Yik Ho ⋅ Chi Ruan ⋅ Zhuofeng Li ⋅ I-Sheng Fang ⋅ Shih-Ying Yeh ⋅ Ho Kei Cheng ⋅ PING NIE ⋅ Wenhu Chen

LearnIR: Learnable Posterior Sampling for Real-World Image Restoration

Yihang Bao ⋅ Zhen Huang ⋅ Shanyan Guan ⋅ Songlin Yang ⋅ Yanhao Ge ⋅ Wei Li ⋅ Bukun Huang ⋅ Zengmin Xu

CIAR: Interval-based Collaborative Decoding for Image Generation Acceleration

Keming Ye ⋅ Zhou Zhao ⋅ Fan Wu ⋅ Shengyu Zhang

Mitigating Noise Shift in Denoising Generative Models with Noise Awareness Guidance

Jincheng Zhong ⋅ Boyuan Jiang ⋅ Xin Tao ⋅ Pengfei Wan ⋅ Kun Gai ⋅ Mingsheng Long

NeuralOS: Towards Simulating Operating Systems via Neural Generative Models

Luke Rivard ⋅ Sun Sun ⋅ Hongyu Guo ⋅ Wenhu Chen ⋅ Yuntian Deng

Analyzing the Training Dynamics of Image Restoration Transformers: A Revisit to Layer Normalization

MinKyu Lee ⋅ Sangeek Hyun ⋅ Woojin Jun ⋅ Hyunjun Kim ⋅ Jiwoo Chung ⋅ Jae-Pil Heo

MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion

Minjung Shin ⋅ Hyunin Cho ⋅ Sooyeon Go ⋅ Jin-Hwa Kim ⋅ Youngjung Uh

MAGREF: Masked Guidance for Any-Reference Video Generation with Subject Disentanglement

Yufan Deng ⋅ Yuanyang Yin ⋅ Xun Guo ⋅ Yizhi Wang ⋅ Zhiyuan Fang ⋅ Shenghai Yuan ⋅ Yiding Yang ⋅ Angtian Wang ⋅ Bo Liu ⋅ Haibin Huang ⋅ Chongyang Ma

ChronoEdit: Towards Temporal Reasoning for In-Context Image Editing and World Simulation

Jay Zhangjie Wu ⋅ Xuanchi Ren ⋅ Tianchang Shen ⋅ Tianshi Cao ⋅ Kai He ⋅ Yifan Lu ⋅ Ruiyuan Gao ⋅ Enze Xie ⋅ Shiyi Lan ⋅ Jose M. Alvarez ⋅ Jun Gao ⋅ Sanja Fidler ⋅ Zian Wang ⋅ Huan Ling

Synthetic History: Evaluating Visual Representations of the Past in Diffusion Models

Maria-Teresa De Rosa Palmini ⋅ Eva Cetinic

D-AR: Diffusion via Autoregressive Models

Ziteng Gao ⋅ Mike Zheng Shou

Diffusion Models as Dataset Distillation Priors

Duo Su ⋅ Huyu Wu ⋅ Huanran Chen ⋅ Yiming Shi ⋅ Yuzhu Wang ⋅ Xi Ye ⋅ Jun Zhu

Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability

Rohan Asthana ⋅ Vasileios Belagiannis

Hyperspherical Latents Improve Continuous-Token Autoregressive Generation

Guolin Ke ⋅ HUI XUE

Recover Cell Tensor: Diffusion-Equivalent Tensor Completion for Fluorescence Microscopy Imaging

Chenwei Wang ⋅ Zhaoke Huang ⋅ ZELIN LI ⋅ Wenqi Zhu

Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models

Chubin Chen ⋅ Jiashu Zhu ⋅ Xiaokun Feng ⋅ Nisha Huang ⋅ Chen Zhu ⋅ Meiqi Wu ⋅ Fangyuan Mao ⋅ Jiahong Wu ⋅ Xiangxiang Chu ⋅ Xiu Li

Pixel-Perfect Puppetry: Precision-Guided Enhancement for Face Image and Video Editing

Yan Li ⋅ Zhenyi Wang ⋅ Guanghao Li ⋅ Wei Xue ⋅ Wenhan Luo ⋅ Yike Guo

Cross-ControlNet: Training-Free Fusion of Multiple Conditions for Text-to-Image Generation

Xiang Liu ⋅ Junjun Jiang ⋅ Wei Han ⋅ Kui Jiang ⋅ Xianming Liu

Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter

Weizhi Zhong ⋅ Huan Yang ⋅ Zheng Liu ⋅ Huiguo He ⋅ Zijian He ⋅ Xuesong Niu ⋅ Di ZHANG ⋅ Guanbin Li

Point Prompting: Counterfactual Tracking with Video Diffusion Models

Ayush Shrivastava ⋅ Sanyam Mehta ⋅ Daniel Geng ⋅ Andrew Owens

Bridging the Distribution Gap to Harness Pretrained Diffusion Priors for Super-Resolution

JoonKyu Park ⋅ Kyoung Mu Lee

MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head

Kewei Zhang ⋅ Ye Huang ⋅ Yufan Deng ⋅ Jincheng YU ⋅ Junsong Chen ⋅ Huan Ling ⋅ Enze Xie ⋅ Zhou Daquan

FlashWorld: High-quality 3D Scene Generation within Seconds

Xinyang Li ⋅ Tengfei Wang ⋅ Zixiao Gu ⋅ Shengchuan Zhang ⋅ Chunchao Guo ⋅ Liujuan Cao

Faster Diffusion Through Temporal Attention Decomposition

Haozhe Liu · Wentian Zhang · Jinheng Xie · Francesco Faccio · Mengmeng Xu · Tao Xiang · Mike Zheng Shou · Juan-Manuel Perez-Rua · Jürgen Schmidhuber

Depth Anything 3: Recovering the Visual Space from Any Views

Haotong Lin ⋅ Sili Chen ⋅ Jun Hao Liew ⋅ Donny Y. Chen ⋅ Zhenyu Li ⋅ Yang Zhao ⋅ Sida Peng ⋅ Hengkai Guo ⋅ Xiaowei Zhou ⋅ Guang Shi ⋅ Jiashi Feng ⋅ Bingyi Kang

Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation

Sherwin Bahmani ⋅ Tianchang Shen ⋅ Jiawei Ren ⋅ Jiahui Huang ⋅ Yifeng Jiang ⋅ Haithem Turki ⋅ Andrea Tagliasacchi ⋅ David Lindell ⋅ Zan Gojcic ⋅ Sanja Fidler ⋅ Huan Ling ⋅ Jun Gao ⋅ Xuanchi Ren

SesaHand: Enhancing 3D Hand Reconstruction via Controllable Generation with Semantic and Structural Alignment

Zhuoran Zhao ⋅ Xianghao Kong ⋅ Linlin Yang ⋅ Zheng WEI ⋅ Pan Hui ⋅ Anyi Rao

ShapeGen4D: Towards High Quality 4D Shape Generation from Videos

Jiraphon Yenphraphai ⋅ Ashkan Mirzaei ⋅ Jianqi Chen ⋅ Jiaxu Zou ⋅ Sergey Tulyakov ⋅ Raymond A. Yeh ⋅ Peter Wonka ⋅ Chaoyang Wang

SurfSplat: Conquering Feedforward 2D Gaussian Splatting with Surface Continuity Priors

Bing He ⋅ Jingnan Gao ⋅ Yunuo Chen ⋅ Ning Cao ⋅ Gang Chen ⋅ Zhengxue Cheng ⋅ Li Song ⋅ Wenjun Zhang

Radiometrically Consistent Gaussian Surfels for Inverse Rendering

Kyu Beom Han ⋅ Jaeyoon Kim ⋅ Woo Jae Kim ⋅ Jinhwan Seo ⋅ Sung-eui Yoon

Dens3R: A Foundation Model for 3D Geometry Prediction

Xianze Fang ⋅ Jingnan Gao ⋅ Zhe Wang ⋅ Zhuo Chen ⋅ Xingyu Ren ⋅ Jiangjing Lyu ⋅ Qiao-Mu Ren ⋅ Zhonglei Yang ⋅ Xiaokang Yang ⋅ Yichao Yan ⋅ chengfei lv

Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator

Hyojun Go ⋅ Dominik Narnhofer ⋅ Goutam Bhat ⋅ Prune Truong ⋅ Federico Tombari ⋅ Konrad Schindler

Topology-Preserved Auto-regressive Mesh Generation in the Manner of Weaving Silk

Gaochao Song ⋅ Zibo Zhao ⋅ Haohan Weng ⋅ Jingbo Zeng ⋅ Rongfei Jia ⋅ Shenghua Gao

True Self-Supervised Novel View Synthesis is Transferable

Thomas MItchel ⋅ Hyunwoo Ryu ⋅ Vincent Sitzmann

AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer

Lingting Zhu ⋅ Shengju Qian ⋅ Haidi Fan ⋅ Jiayu Dong ⋅ Zhenchao Jin ⋅ SiweiZhou ⋅ Dong Gen ⋅ Xin Wang ⋅ Lequan Yu

UniSplat: Unified Spatio-Temporal Fusion via 3D Latent Scaffolds for Dynamic Driving Scene Reconstruction

Chen Shi ⋅ Shaoshuai Shi ⋅ Xiaoyang Lyu ⋅ Chunyang Liu ⋅ Kehua Sheng ⋅ Bo Zhang ⋅ Li Jiang

$\pi^3$: Permutation-Equivariant Visual Geometry Learning

Yifan Wang ⋅ Jianjun Zhou ⋅ Haoyi Zhu ⋅ Wenzheng Chang ⋅ Yang Zhou ⋅ Zizun Li ⋅ Junyi Chen ⋅ Jiangmiao Pang ⋅ Chunhua Shen ⋅ Tong He

LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context

Jingzhi Bao ⋅ Hongze CHEN ⋅ Lingting Zhu ⋅ Chenyu Liu ⋅ Runze Zhang ⋅ Keyang Luo ⋅ Zeyu HU ⋅ Weikai Chen ⋅ Yingda Yin ⋅ Xin Wang ⋅ Zehong Lin ⋅ Jun Zhang ⋅ Xiaoguang Han

Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from Alternating-exposure Monocular Videos

Jinfeng Liu ⋅ Lingtong Kong ⋅ Mi Zhou ⋅ Jinwei Chen ⋅ Dan Xu

DA$^{2}$: Depth Anything in Any Direction

Haodong Li ⋅ Wangguandong Zheng ⋅ Jing He ⋅ Yuhao LIU ⋅ Xin Lin ⋅ Xin Yang ⋅ YINGCONG CHEN ⋅ Chunchao Guo

STVG-R1: Incentivizing Instance-Level Reasoning and Grounding in Videos via Reinforcement Learning

Xiaowen Zhang ⋅ Zhi Gao ⋅ Licheng Jiao ⋅ Lingling Li ⋅ Qing Li

GuirlVG: Incentivize GUI Visual Grounding via Empirical Exploration on Reinforcement Learning

Weitai Kang ⋅ Bin Lei ⋅ Gaowen Liu ⋅ Caiwen Ding ⋅ Yan Yan

THEMIS: Towards Holistic Evaluation of MLLMs for Scientific Paper Fraud Forensics

Tzu-Yen Ma ⋅ Bo Zhang ⋅ Zichen Tang ⋅ Junpeng Ding ⋅ Haolin Tian ⋅ Yuanze Li ⋅ Zhuodi Hao ⋅ Zixin Ding ⋅ Zirui Wang ⋅ Xinyu Yu ⋅ Shiyao Peng ⋅ Yizhuo Zhao ⋅ Ruomeng Jiang ⋅ Yiling Huang ⋅ Peizhi Zhao ⋅ Jiayuan Chen ⋅ Weisheng Tan ⋅ Haocheng Gao ⋅ Yang Liu ⋅ Jiacheng Liu ⋅ Zhongjun Yang ⋅ Jiayu Huang ⋅ Haihong E

MMDuet2: Enhancing Proactive Interaction of Video MLLMs with Multi-Turn Reinforcement Learning

Yueqian Wang ⋅ Songxiang Liu ⋅ Disong Wang ⋅ Nuo Xu ⋅ Guanglu Wan ⋅ Huishuai Zhang ⋅ Dongyan Zhao

VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?

Minkyu Kim ⋅ Sangheon Lee ⋅ Dongmin Park

Unlocking the Essence of Beauty: Advanced Aesthetic Reasoning with Relative-Absolute Policy Optimization

Boyang Liu ⋅ Yifan Hu ⋅ Senjie Jin ⋅ Shihan Dou ⋅ Gonglei Shi ⋅ Jie Shao ⋅ Tao Gui ⋅ Xuanjing Huang

Rethinking Radiology Report Generation: From Narrative Flow to Topic-Guided Findings

Sheng Cheng ⋅ Devika Subramanian

AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning

Mingyang Song ⋅ Haoyu Sun ⋅ Jiawei Gu ⋅ Linjie Li ⋅ Ranjay Krishna ⋅ Yu Cheng

IVEBench: Modern Benchmark Suite for Instruction-Guided Video Editing Assessment

Yinan Chen ⋅ Jiangning Zhang ⋅ Teng Hu ⋅ Yuxiang Zeng ⋅ Zhucun Xue ⋅ Qingdong He ⋅ Chengjie Wang ⋅ Yong Liu ⋅ Xiaobin Hu ⋅ Shuicheng YAN

Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction–Reasoning Synergy

Haijier Chen ⋅ Bo Xu ⋅ Shoujian zhang ⋅ Haoze Liu ⋅ Jiaxuan Lin ⋅ Jingrong Wang

Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders

Bo Fang ⋅ YuXin Song ⋅ Haoyuan Sun ⋅ Qiangqiang Wu ⋅ Wenhao Wu ⋅ Antoni Chan

Culture In a Frame: C$^3$B as a Comic-Based Benchmark for Multimodal Culturally Awareness

Yuchen Song ⋅ Andong Chen ⋅ Wenxin Zhu ⋅ Kehai Chen ⋅ Xuefeng Bai ⋅ Muyun Yang ⋅ Tiejun Zhao

MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding

Xin Jin ⋅ Siyuan Li ⋅ Siyong Jian ⋅ Kai Yu ⋅ Huan Wang

Cat-PO: Cross-modal Adaptive Token-rewards for Preference Optimization in Truthful Multimodal LLMs

Zhixiao Zheng ⋅ Zheren Fu ⋅ Zhiyuan Yao ⋅ Dongming Zhang ⋅ Zhendong Mao

TimeSearch-R: Adaptive Temporal Search for Long-Form Video Understanding via Self-Verification Reinforcement Learning

Junwen Pan ⋅ Qizhe Zhang ⋅ Rui Zhang ⋅ Ming Lu ⋅ Xin Wan ⋅ Yuan Zhang ⋅ Chang Liu ⋅ Qi She

Task-Aware Data Selection via Proxy-Label Enhanced Distribution Matching for LLM Finetuning

Hao Cheng ⋅ Rui Zhang ⋅ Ling Li ⋅ Na Di ⋅ Jiaheng Wei ⋅ Zhaowei Zhu ⋅ Bo Han

MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

Sihan Yang ⋅ Runsen Xu ⋅ Yiman Xie ⋅ Sizhe Yang ⋅ Mo Li ⋅ Jingli Lin ⋅ Chenming Zhu ⋅ Xiaochen Chen ⋅ Haodong Duan ⋅ Xiangyu Yue ⋅ Dahua Lin ⋅ Tai Wang ⋅ Jiangmiao Pang

Dynamic Reflections: Probing Video Representations with Text Alignment

Maks Ovsjanikov ⋅ Viorica Patraucean ⋅ Leonidas Guibas ⋅ Tyler Zhu ⋅ Tengda Han

GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs

Aryan Yazdan Parast ⋅ Parsa Hosseini ⋅ Hesam Asadollahzadeh ⋅ Arshia Soltani Moakhar ⋅ Basim Azam ⋅ Soheil Feizi ⋅ NAVEED AKHTAR

Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning

Jingqi Tong ⋅ Jixin Tang ⋅ Hangcheng Li ⋅ Yurong Mou ⋅ Ming Zhang ⋅ Jun Zhao ⋅ Yanbo Wen ⋅ Fan Song ⋅ Jiahao Zhan ⋅ Yuyang Lu ⋅ Chaoran Tao ⋅ Zhiyuan Guo ⋅ Jizhou Yu ⋅ Tianhao Cheng ⋅ Zhiheng Xi ⋅ Changhao Jiang ⋅ Zhangyue Yin ⋅ Yining Zheng ⋅ Weifeng Ge ⋅ Guanhua Chen ⋅ Tao Gui ⋅ Xipeng Qiu ⋅ Qi Zhang ⋅ Xuanjing Huang

Text2Arch: A Dataset for Generating Scientific Architecture Diagrams from Natural Language Descriptions

Shivank Garg ⋅ Sankalp Mittal ⋅ Manish Gupta

Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning

Qing Jiang ⋅ Xingyu Chen ⋅ Zhaoyang Zeng ⋅ Junzhi Yu ⋅ Lei Zhang

Spotlight on Token Perception for Multimodal Reinforcement Learning

Siyuan Huang ⋅ Xiaoye Qu ⋅ Yafu Li ⋅ Yun Luo ⋅ Zefeng He ⋅ Daizong Liu ⋅ Yu Cheng

OmniSTVG: Toward Spatio-Temporal Omni-Object Video Grounding

Jiali Yao ⋅ Xin Gu ⋅ Xinran Deng ⋅ Mengrui Dai ⋅ Bing Fan ⋅ Zhipeng Zhang ⋅ Yan Huang ⋅ Heng Fan ⋅ Libo Zhang

GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing

Shih-Fang Chen ⋅ Jun-Cheng Chen ⋅ I-Hong Jhuo ⋅ Yen-Yu Lin

Endowing GPT-4 with a Humanoid Body: Building the Bridge Between Off-the-Shelf VLMs and the Physical World

Yingzhao Jian ⋅ Zhongan Wang ⋅ Yi Yang ⋅ Hehe Fan

Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics

Christopher Hoang ⋅ Mengye Ren

Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving

Pengxiang Li ⋅ Yinan Zheng ⋅ Yue Wang ⋅ Huimin Wang ⋅ Hang Zhao ⋅ Jingjing Liu ⋅ Xianyuan Zhan ⋅ Kun Zhan ⋅ XianPeng Lang

Unleashing Perception-Time Scaling to Multimodal Reasoning Models

Yifan Li ⋅ Zhenghao Chen ⋅ Ziheng Wu ⋅ Kun Zhou ⋅ Ruipu Luo ⋅ Can Zhang ⋅ Zhentao he ⋅ Yufei Zhan ⋅ Xin Zhao ⋅ Minghui Qiu

VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Video

Hanoona Rasheed ⋅ Abdelrahman Shaker ⋅ Anqi Tang ⋅ Muhammad Maaz ⋅ Ming-Hsuan Yang ⋅ Salman Khan ⋅ Fahad Khan

AC-Foley: Reference-Audio-Guided Video-to-Audio Synthesis with Acoustic Transfer

Pengjun Fang ⋅ Yingqing He ⋅ Yazhou Xing ⋅ Qifeng Chen ⋅ Ser-Nam Lim ⋅ Harry Yang

A.I.R.: Enabling Adaptive, Iterative, and Reasoning-based Frame Selection For Video Question Answering

Yuanhao Zou ⋅ Shengji Jin ⋅ Andong Deng ⋅ Youpeng Zhao ⋅ Jun Wang ⋅ Chen Chen

VisionReasoner: Unified Reasoning-Integrated Visual Perception via Reinforcement Learning

Yuqi Liu ⋅ Tianyuan Qu ⋅ Zhisheng Zhong ⋅ Bohao PENG ⋅ Shu Liu ⋅ Bei Yu ⋅ Jiaya Jia

Unified Multi-Modal Interactive and Reactive 3D Motion Generation via Rectified Flow

Prerit Gupta ⋅ Shourya Verma ⋅ Ananth Grama ⋅ Aniket Bera

SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery

Lorenzo Caselli ⋅ Marco Mistretta ⋅ Simone Magistri ⋅ Andrew Bagdanov

Revisual-R1: Advancing Multimodal Reasoning From Optimized Cold Start to Staged Reinforcement Learning

Shuang Chen ⋅ Hangyu Guo ⋅ Zhaochen Su ⋅ Yafu Li ⋅ Jiacheng Chen ⋅ Yulun Wu ⋅ Weijie Wang ⋅ ZhiYuan Feng ⋅ Xiaoye Qu ⋅ Yu Cheng

CubeBench: Diagnosing Interactive, Long-Horizon Physical Intelligence under Partial Observations

Huan-ang Gao ⋅ Zikang Zhang ⋅ Tianwei Luo ⋅ Kaisen Yang ⋅ Xinzhe Juan ⋅ Jiahao Qiu ⋅ Tianxing Chen ⋅ Bingxiang He ⋅ Hao Zhao ⋅ Hao Zhou ⋅ Shilong Liu ⋅ Mengdi Wang

MergeTune: Continued Fine-Tuning of Vision-Language Models

Wenqing Wang ⋅ Da Li ⋅ Xiatian Zhu ⋅ Josef Kittler

IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs

Ali Faraz ⋅ Akash ⋅ Shaharukh Khan ⋅ Raja Kolla ⋅ Akshat Patidar ⋅ Suranjan Goswami ⋅ Abhinav Ravi ⋅ Chandra Khatri ⋅ Shubham Agarwal

Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking

Wen Wen ⋅ Tianwu Zhi ⋅ Kanglong Fan ⋅ Yang Li ⋅ Xinge Peng ⋅ Yabin ZHANG ⋅ Yiting Liao ⋅ Junlin Li ⋅ Li zhang

VisualPRM400K: An Effective Dataset for Training Multimodal Process Reward Models

Weiyun Wang ⋅ Zhangwei Gao ⋅ Lianjie Chen ⋅ Zhe Chen ⋅ Jinguo Zhu ⋅ Xiangyu Zhao ⋅ Yangzhou Liu ⋅ Yue Cao ⋅ Shenglong Ye ⋅ Xizhou Zhu ⋅ Lewei Lu ⋅ Haodong Duan ⋅ Yu Qiao ⋅ Jifeng Dai ⋅ Wenhai Wang

MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs

Sixun Dong ⋅ Juhua Hu ⋅ Mian Zhang ⋅ Ming Yin ⋅ Yanjie Fu ⋅ Qi Qian

Memento: Toward an All-Day Proactive Assistant for Ultra-Long Streaming Video

Hongxiang Jiang ⋅ Zengrui Ge ⋅ Guo Chen ⋅ Qixiong Wang ⋅ Jile Jiao ⋅ Xuetao Feng ⋅ Yuan Wang ⋅ Yan Wang

CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally

Darina Koishigarina ⋅ Arnas Uselis ⋅ Seong Joon Oh

Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment

Shijie Zhao ⋅ Xuanyu Zhang ⋅ Weiqi Li ⋅ Junlin Li ⋅ Li zhang ⋅ Tianfan Xue ⋅ Jian Zhang

QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining

Kyle Chickering ⋅ Bangzheng Li ⋅ Muhao Chen

U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs

Xiaojie Li ⋅ Chu Li ⋅ Shi-Zhe Chen ⋅ Xi Chen

Efficient Multimodal Spatial Reasoning via Dynamic and Asymmetric Routing

Yixian Shen ⋅ Qi Bi ⋅ Zihan Wang ⋅ Zhiheng Yang ⋅ Changshuo Wang ⋅ Zhi Zhang ⋅ Prayag Tiwari ⋅ Andy Pimentel ⋅ Anuj Pathania

UniFlow: A Unified Pixel Flow Tokenizer for Visual Understanding and Generation

Zhengrong Yue ⋅ Haiyu Zhang ⋅ Xiangyu Zeng ⋅ Boyu Chen ⋅ Chenting Wang ⋅ Shaobin Zhuang ⋅ Lu Dong ⋅ Yi Wang ⋅ Limin Wang ⋅ Yali Wang

SPR$^2$Q: Static Priority-based Rectifier Routing Quantization for Image Super-Resolution

Jingwei Xin ⋅ Wenhao Li ⋅ Nannan Wang ⋅ Jie Li ⋅ Xinbo Gao

Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?

Pingyue Zhang ⋅ Zihan Huang ⋅ Yue Wang ⋅ Jieyu Zhang ⋅ Letian Xue ⋅ Zihan Wang ⋅ Qineng Wang ⋅ Keshigeyan Chandrasegaran ⋅ Ruohan Zhang ⋅ Yejin Choi ⋅ Ranjay Krishna ⋅ Jiajun Wu ⋅ Li Fei-Fei ⋅ Manling Li

Unveiling the Cognitive Compass: Theory-of-Mind–Guided Multimodal Emotion Reasoning

Meng Luo ⋅ Bobo Li ⋅ Shanqing Xu ⋅ Shize Zhang ⋅ Qiuchan Chen ⋅ Menglu Han ⋅ Wenhao Chen ⋅ Yanxiang Huang ⋅ Hao (Scofield) Fei ⋅ Mong-Li Lee ⋅ Wynne Hsu

Query-Guided Spatial–Temporal–Frequency Interaction for Music Audio–Visual Question Answering

Kun Li ⋅ Michael Yang ⋅ Sami Sebastian Brandt

Enhancing Multi-Image Understanding through Delimiter Token Scaling

Minyoung Lee ⋅ Yeji Park ⋅ Dongjun Hwang ⋅ Yejin Kim ⋅ Seong Joon Oh ⋅ Junsuk Choe

PIRN: Prototypical-based Intra-modal Reconstruction with Normality Communication for Multi-modal Anomaly Detection.

Yiting Li ⋅ xulei yang ⋅ Jing Zhang ⋅ Sichao Tian ⋅ Jingyi Liao ⋅ Fayao Liu

Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models

Sharut Gupta ⋅ Shobhita Sundaram ⋅ Chenyu Wang ⋅ Stefanie Jegelka ⋅ Phillip Isola

Linear Mechanisms for Spatiotemporal Reasoning in Vision Language Models

Raphaela Kang ⋅ Hongqiao Chen ⋅ Georgia Gkioxari ⋅ Pietro Perona

A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models

Lixin Xiu ⋅ Xufang Luo ⋅ Hideki Nakayama

Exploring the Potential of Encoder-free Architectures in 3D LMMs

Yiwen Tang ⋅ Ziyu Guo ⋅ Zhuhao Wang ⋅ Renrui Zhang ⋅ Qizhi Chen ⋅ Junli Liu ⋅ Delin Qu ⋅ Dong Wang ⋅ Bin Zhao ⋅ Xuelong Li

Supervised Fine-Tuning or Contrastive Learning? Towards Better Multimodal LLM Reranking

Xin Zhang ⋅ Ziqi Dai ⋅ Mingxin Li ⋅ yanzhao zhang ⋅ Dingkun Long ⋅ Pengjun Xie ⋅ Meishan Zhang ⋅ Wenjie Li ⋅ Min Zhang

Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code Generation

Lei Chen ⋅ Xuanle Zhao ⋅ Zhixiong Zeng ⋅ Jing Huang ⋅ Liming Zheng ⋅ Yufeng Zhong ⋅ Lin Ma

Video-LevelGauge: Investigating Contextual Positional Bias in Video Language Models.

Hou Xia ⋅ Zheren Fu ⋅ Fangcan Ling ⋅ Jiajun Li ⋅ Yi Tu ⋅ Zhendong Mao ⋅ Yongdong Zhang

ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning

Yuxiang Guo ⋅ Jiang Liu ⋅ Ze Wang ⋅ Hao Chen ⋅ Ximeng Sun ⋅ Yang Zhao ⋅ Jialian Wu ⋅ Xiaodong Yu ⋅ Zicheng Liu ⋅ Emad Barsoum

You Point, I Learn: Online Adaptation of Interactive Segmentation Models for Handling Distribution Shifts in Medical Imaging

Wentian Xu ⋅ Ziyun Liang ⋅ Harry Anthony ⋅ Yasin Ibrahim ⋅ Felix Cohen ⋅ Guang Yang ⋅ Konstantinos Kamnitsas

Detective SAM: Adaptive AI-Image Forgery Localization

Gert Lek ⋅ Nicolas van Schaik ⋅ Chaoyi Zhu ⋅ Pin-Yu Chen ⋅ Robert Birke ⋅ Lydia Chen

Action-Guided Attention for Video Action Anticipation

Tsung-Ming Tai ⋅ Sofia Casarin ⋅ Andrea Pilzer ⋅ Werner Nutt ⋅ Oswald Lanz

GOLDILOCS: GENERAL OBJECT-LEVEL DETECTION AND LABELING OF CHANGES IN SCENES

Almog Friedlander ⋅ Ariel Shamir ⋅ Ohad Fried

Steering and Rectifying Latent Representation Manifolds in Frozen Multi-modal LLMs for Video Anomaly Detection

Zhaolin Cai ⋅ Fan Li ⋅ Huiyu Duan ⋅ Lijun He ⋅ Guangtao Zhai

From Vicious to Virtuous Cycles: Synergistic Representation Learning for Unsupervised Video Object-Centric Learning

Hyun Seok Seong ⋅ WonJun Moon ⋅ Jae-Pil Heo

Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection

Yao Xiao ⋅ Weiyan Chen ⋅ Jiahao Chen ⋅ Zijie Cao ⋅ Weijian Deng ⋅ Binbin Yang ⋅ ZiYi Dong ⋅ Xiangyang Ji ⋅ Wei Ke ⋅ Pengxu Wei ⋅ Liang Lin

Fractional-Order Spiking Neural Network

Chengjie Ge ⋅ Yufeng Peng ⋅ Zihao Li ⋅ Qiyu Kang ⋅ Xueyang Fu ⋅ Xuhao Li ⋅ Qixin ZHANG ⋅ Ren Junhao ⋅ Zheng-Jun Zha

Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection

Tobias Riedlinger ⋅ Kira Maag ⋅ Hanno Gottschalk

Procedural Mistake Detection via Action Effect Modeling

Wenliang Guo ⋅ Yujiang Pu ⋅ Yu Kong

FedOpenMatch: Towards Semi-Supervised Federated Learning in Open-Set Environments

Hongquan Liu ⋅ ChenyuGuo Guo ⋅ Yixin Ren ⋅ Jihong Guan ⋅ Shuigeng Zhou

DVLA-RL: Dual-Level Vision–Language Alignment with Reinforcement Learning Gating for Few-Shot Learning

Wenhao Li ⋅ Xianjing Meng ⋅ Qiangchang Wang ⋅ Zhongyi Han ⋅ Zhibin Wu ⋅ Yilong Yin

Vulcan: Crafting Compact Class-Specific Vision Transformers For Edge Intelligence

Ziteng Wei ⋅ Qiang He ⋅ Feifei Chen ⋅ Ranjie Duan ⋅ Xiaodan Li ⋅ Bin Li ⋅ YueFeng Chen ⋅ Hui Xue' ⋅ Hai Jin ⋅ Yun Yang

Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method

Masoumeh Sharafi ⋅ Soufiane Belharbi ⋅ Muhammad Zeeshan ⋅ HOUSSEM Salem ⋅ Ali Etemad ⋅ Alessandro Lameiras Koerich ⋅ Marco Pedersoli ⋅ Simon L Bacon ⋅ Eric Granger

CNN Interpretability with Multivector Tucker Saliency Maps for Self-Supervised Models

Aymene Mohammed Bouayed · Samuel Deslauriers-gauthier · Adrian IACOVELLI · David Naccache

OmniText: A Training-Free Generalist for Controllable Text-Image Manipulation

Agus Gunawan ⋅ Samuel Teodoro ⋅ Yun Chen ⋅ Soo Ye Kim ⋅ Jihyong Oh ⋅ Munchurl Kim

Seeing Through Words: Controlling Visual Retrieval Quality with Language Models

Jianglin Lu ⋅ Simon Jenni ⋅ Kushal Kafle ⋅ Jing Shi ⋅ Handong Zhao ⋅ Yun Fu

gen2seg: Generative Models Enable Generalizable Instance Segmentation

Om Khangaonkar ⋅ Hamed Pirsiavash

Learning AND–OR Templates for Compositional Representation in Art and Design

Liaoruxing Zhang ⋅ Xin Jin ⋅ Wenbo Yuan ⋅ ChenYu Fan ⋅ Song-Chun Zhu

Content-Aware Mamba for Learned Image Compression

Yunuo Chen ⋅ Zezheng Lyu ⋅ Bing He ⋅ Hongwei Hu ⋅ Qi Wang ⋅ Yuan Tian ⋅ Li Song ⋅ Wenjun Zhang ⋅ Guo Lu

TAPTRv3: Spatial and Temporal Context Foster Robust Tracking of Any Point in Long Video

Jinyuan Qu ⋅ Hongyang Li ⋅ Shilong Liu ⋅ Tianhe Ren ⋅ Zhaoyang Zeng ⋅ Lei Zhang

From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarper

Ling Li ⋅ Changjie Chen ⋅ Yuyan Wang ⋅ Jiaqing Lyu ⋅ Kenglun Chang ⋅ Yiyun Chen ⋅ Zhidong Deng

Rethinking Expressivity and Degradation-Awareness in Attention for All-in-One Blind Image Restoration

Bin Ren ⋅ Runyi Yang ⋅ Qi Ma ⋅ Xu Zheng ⋅ Mengyuan Liu ⋅ Danda Pani Paudel ⋅ Luc Van Gool ⋅ Rita Cucchiara ⋅ Nicu Sebe

Differentially Private Domain Discovery

Vinod Raman ⋅ Travis Dick ⋅ Matthew Joseph

DPQuant: Efficient and Private Model Training via Dynamic Quantization Scheduling

Yubo Gao ⋅ Renbo Tu ⋅ Gennady Pekhimenko ⋅ Nandita Vijaykumar

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding

Joseph Fioresi ⋅ Ishan Rajendrakumar Dave ⋅ Mubarak Shah

Privacy-Protected Causal Survival Analysis Under Distribution Shift

Yi Liu ⋅ Alexander Levis ⋅ Ke Zhu ⋅ Shu Yang ⋅ Peter Gilbert ⋅ Larry Han

CIMemories: A Compositional Benchmark For Contextual Integrity In LLMs

Niloofar Mireshghallah ⋅ Neal Mangaokar ⋅ Narine Kokhlikyan ⋅ Arman Zharmagambetov ⋅ Manzil Zaheer ⋅ Saeed Mahloujifar ⋅ Kamalika Chaudhuri

Reducing information dependency does not cause training data privacy. Adversarially non-robust features do.

Rasmus Torp ⋅ Shailen Smith ⋅ Adam Breuer

VeriEquivBench: An Equivalence Score for Ground-Truth-Free Evaluation of Formally Verifiable Code

Lingfei Zeng ⋅ Fengdi Che ⋅ Xuhan Huang ⋅ Fei Ye ⋅ Xu Xu ⋅ Binhang Yuan ⋅ Jie Fu

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization

Mingda Zhang ⋅ Mingli Zhu ⋅ Zihao Zhu ⋅ Li Shen ⋅ Baoyuan Wu

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs

Eyal German ⋅ Sagiv Antebi ⋅ Daniel Samira ⋅ Asaf Shabtai ⋅ Yuval Elovici

General Exploratory Bonus for Optimistic Exploration in RLHF

Wendi Li ⋅ Changdae Oh ⋅ Sharon Li

CAGE: A Framework for Culturally Adaptive Red-Teaming Benchmark Generation

Chaeyun Kim ⋅ YongTaek Lim ⋅ Kihyun Kim ⋅ Junghwan Kim ⋅ Minwoo Kim

Optimizing Agent Planning for Security and Autonomy

Aashish Kolluri ⋅ Rishi Sharma ⋅ Manuel Costa ⋅ Boris Köpf ⋅ Tobias Nießen ⋅ Mark Russinovich ⋅ Shruti Tople ⋅ Santiago Zanella-Beguelin

CoFact: Conformal Factuality Guarantees for Language Models under Covariate Shift

Zirui Hu ⋅ Zheng Zhang ⋅ Yingjie Wang ⋅ Leszek Rutkowski ⋅ Dacheng Tao

GAVEL: Towards Rule-Based Safety through Activation Monitoring

Shir Rozenfeld ⋅ Rahul Pankajakshan ⋅ Itay Zloczower ⋅ Eyal Lenga ⋅ Gilad Gressel ⋅ Yisroel Mirsky

Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks

Yu-Che Tsai ⋅ Hsiang Hsiao ⋅ Kuan-Yu Chen ⋅ Shou-De Lin

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models

Lujain Ibrahim ⋅ Canfer Akbulut ⋅ Rasmi Elasmar ⋅ Charvi Rastogi ⋅ Minsuk Kahng ⋅ Meredith Morris ⋅ Kevin McKee ⋅ Verena Rieser ⋅ Murray Shanahan ⋅ Laura Weidinger

Fewer Weights, More Problems: A Practical Attack on LLM Pruning

Kazuki Egashira ⋅ Robin Staab ⋅ Thibaud Gloaguen ⋅ Mark Vero ⋅ Martin Vechev

Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models

(Andrew) Zhanke Zhou ⋅ Zhaocheng Zhu ⋅ Xuan Li ⋅ Mikhail Galkin ⋅ Xiao Feng ⋅ Sanmi Koyejo ⋅ Jian Tang ⋅ Bo Han

TAO-Attack: Toward Advanced Optimization-Based Jailbreak Attacks for Large Language Models

Zhi Xu ⋅ Jiaqi Li ⋅ Xiaotong Zhang ⋅ Hong Yu ⋅ Han Liu

Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test

Xiaoyuan Zhu ⋅ Yaowen Ye ⋅ Tianyi Qiu ⋅ Hanlin Zhu ⋅ Sijun Tan ⋅ Ajraf Mannan ⋅ Jonathan Michala ⋅ Raluca Popa ⋅ Willie Neiswanger

Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness

Tavish McDonald ⋅ Bo Lei ⋅ Stanislav Fort ⋅ Bhavya Kailkhura ⋅ Brian Bartoldson

Is it Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort

Xinpeng Wang ⋅ Nitish Joshi ⋅ Barbara Plank ⋅ Rico Angell ⋅ He He

Robust LLM Unlearning via Post Judgment and Multi-round Thinking

Xinrui Chen ⋅ Xu Cao ⋅ Jianhao Zhang ⋅ Pinlong Zhao ⋅ Di Gao ⋅ Ou Wu

Spilled Energy in Large Language Models

Adrian Robert Minut ⋅ Hazem Dewidar ⋅ Iacopo Masi

AbsTopK: Rethinking Sparse Autoencoders For Bidirectional Features

Xudong Zhu ⋅ Mohammad Mahdi Khalili ⋅ Zhihui Zhu

Learning to Lie: Adversarial Attacks on Human-AI Teams and LLMs

Abed K. Musaffar ⋅ Anand Gokhale ⋅ Sirui Zeng ⋅ Rasta Tadayontahmasebi ⋅ Xifeng Yan ⋅ Ambuj K Singh ⋅ Francesco Bullo

ASIDE: Architectural Separation of Instructions and Data in Language Models

Egor Zverev ⋅ Evgenii Kortukov ⋅ Alexander Panfilov ⋅ Alexandra Volkova ⋅ Soroush Tabesh ⋅ Sebastian Lapuschkin ⋅ Wojciech Samek ⋅ Christoph Lampert

Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective

Justin Lee ⋅ Zheda Mai ⋅ Jinsu Yoo ⋅ Chongyu Fan ⋅ Cheng Zhang ⋅ Wei-Lun Chao

Learning Dynamic Causal Graphs Under Parametric Uncertainty via Polynomial Chaos Expansions

Liang Cao

MOLM: Mixture of LoRA Markers

Samar Fares ⋅ Nurbek Tastan ⋅ Noor Hussein ⋅ Karthik Nandakumar

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs

Yan Scholten ⋅ Sophie Xhonneux ⋅ Leo Schwinn ⋅ Stephan Günnemann

Dissecting Non-Determinism in Large Language Models

Mateus da Silveira ⋅ Ronaldinho Vega Centeno Olivera ⋅ Alejandro Núñez Arroyo ⋅ Allan M. de Souza ⋅ JULIO DOS REIS

Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders

Junqi Jiang ⋅ Francesco Leofante ⋅ Antonio Rago ⋅ Francesca Toni

Debugging Concept Bottleneck Models through Removal and Retraining

Eric Enouen ⋅ sainyam galhotra

ASGuard: Activation-Scaling Guard to Mitigate Targeted Jailbreaking Attack

Yein Park ⋅ Jungwoo Park ⋅ Jaewoo Kang

What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data

Rajiv Movva ⋅ Smitha Milli ⋅ Sewon Min ⋅ Emma Pierson

LLMs Process Lists With General Filter Heads

Arnab Sen Sharma ⋅ Giordano Rogers ⋅ Natalie Shapira ⋅ David Bau

From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers

Jingtong Su ⋅ Julia Kempe ⋅ Karen Ullrich

When Thinking Backfires: Mechanistic Insights into Reason-induced Misalignment

Hanqi Yan ⋅ Hainiu Xu ⋅ Siya Qi ⋅ Shu Yang ⋅ Yulan He

Sparse Autoencoders Trained on the Same Data Learn Different Features

Gonçalo Paulo ⋅ Nora Belrose

Vision Language Models are Biased

An Vo ⋅ Khai-Nguyen Nguyen ⋅ Mohammad Reza Taesiri ⋅ THI TUONG VY DANG ⋅ Anh Nguyen ⋅ Daeyoung Kim

How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability

Shawn Im ⋅ Changdae Oh ⋅ Zhen Fang ⋅ Sharon Li

Watermarking Diffusion Language Models

Thibaud Gloaguen ⋅ Robin Staab ⋅ Nikola Jovanović ⋅ Martin Vechev

The Price of Amortized inference in Sparse Autoencoders

Wenjie Sun ⋅ Di Wang ⋅ Lijie Hu

How Catastrophic is Your LLM? Certifying Risks in Conversation

Chengxiao Wang ⋅ Isha Chaudhary ⋅ Qian Hu ⋅ Weitong Ruan ⋅ Rahul Gupta ⋅ Gagandeep Singh

SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests

Punya Syon Pandey ⋅ Lê Sơn ⋅ Devansh Bhardwaj ⋅ Zhijing Jin

MIDAS: Multi-Image Dispersion and Semantic Reconstruction for Jailbreaking MLLMs

Yilian Liu ⋅ Yang Liu ⋅ Guoshun Nan ⋅ Jiuyang Lyu ⋅ Zhican Chen ⋅ Tao Guan ⋅ Shuyuan Luo ⋅ Zhongyi Zhai ⋅ Yang Liu

AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference

Jing Yao ⋅ Shitong Duan ⋅ Xiaoyuan Yi ⋅ Dongkuan Xu ⋅ Peng Zhang ⋅ Tun Lu ⋅ Ning Gu ⋅ Zhicheng Dou ⋅ Xing Xie

Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction

Tianyi Qiu ⋅ Micah Carroll ⋅ Cameron Allen

MCP Security Bench (MSB): Benchmarking Attacks Against Model Context Protocol in LLM Agents

Dongsen Zhang ⋅ Zekun Li ⋅ Xu Luo ⋅ Xuannan Liu ⋅ Pei Li ⋅ Wenjun Xu

MSCR: Exploring the Vulnerability of LLMs’ Mathematical Reasoning Abilities Using Multi-Source Candidate Replacement

Zhishen Sun ⋅ Guang Dai ⋅ Haishan Ye

Fair Decision Utility in Human-AI Collaboration: Interpretable Confidence Adjustment for Humans with Cognitive Disparities

Jiashi Gao ⋅ Kexin Liu ⋅ Xinwei Guo ⋅ Junlei Zhou ⋅ Jiaxin Zhang ⋅ Xiangyu Zhao ⋅ Guanhua Chen ⋅ Xin Yao ⋅ Xuetao Wei

When Machine Learning Gets Personal: Evaluating Prediction and Explanation

Louisa Cornelis ⋅ Guillermo Bernardez ⋅ Haewon Jeong ⋅ Nina Miolane

FARI: Robust One-Step Inversion for Watermarking in Diffusion Models

Jindong Yang ⋅ Han Fang ⋅ Weiming Zhang ⋅ Nenghai Yu ⋅ Kejiang Chen

Label Smoothing Improves Machine Unlearning

Zonglin Di ⋅ Zhaowei Zhu ⋅ Jinghan Jia ⋅ Jiancheng Liu ⋅ Zafar Takhirov ⋅ Bo Jiang ⋅ Yuanshun Yao ⋅ Sijia Liu ⋅ Yang Liu

GeoDiv: Framework for Measuring Geographical Diversity in Text-to-Image Models

Abhipsa Basu ⋅ Mohana Singh ⋅ Shashank Agnihotri ⋅ Margret Keuper ⋅ Venkatesh Babu Radhakrishnan

Fair Classification by Direct Intervention on Operating Characteristics

Kevin Jiang ⋅ Edgar Dobriban

From Evaluation to Defense: Advancing Safety in Video Large Language Models

Yiwei Sun ⋅ Peiqi Jiang ⋅ Chuanbin Liu ⋅ Luohao Lin ⋅ Zhiying Lu ⋅ Hongtao Xie

Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts

Zhaomin Wu ⋅ Mingzhe Du ⋅ See-Kiong Ng ⋅ Bingsheng He

STEDiff: Revealing the Spatial and Temporal Redundancy of Backdoor Attacks in Text-to-Image Diffusion Models

Yu Pan ⋅ Jiahao Chen ⋅ Lin Wang ⋅ Bingrong Dai ⋅ Wenjie Wang

Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs

Yiran Zhao ⋅ Lu Zhou ⋅ Xiaogang Xu ⋅ Zhe Liu ⋅ Jiafei Wu ⋅ Liming Fang

Where Did It Go Wrong? Attributing Undesirable LLM Behaviors via Representation Gradient Tracing

Zhe Li ⋅ Wei Zhao ⋅ Yige Li ⋅ Jun Sun

Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-Defense

Guobin Shen ⋅ Dongcheng Zhao ⋅ Haibo Tong ⋅ Jindong Li ⋅ Feifei Zhao ⋅ Yi Zeng

Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks

Andrii Kliachkin ⋅ Jana Lepšová ⋅ Gilles Bareilles ⋅ Jakub Marecek

Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!

Zhexin Zhang ⋅ Yuhao Sun ⋅ Junxiao Yang ⋅ Shiyao Cui ⋅ yuanchao zhang ⋅ Hongning Wang ⋅ Minlie Huang

Enhancing Image-Conditional Coverage in Segmentation: Adaptive Thresholding via Differentiable Miscoverage Loss

Rui Luo ⋅ Jie Bao ⋅ Xiaoyi Su ⋅ Wen Li ⋅ Suqun Cao

Mitigating the Safety Alignment Tax with Null-Space Constrained Policy Optimization

Yifan Niu ⋅ Han Xiao ⋅ Dongyi Liu ⋅ Nuo Chen ⋅ Jia Li

SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks

Seungwon Jeong ⋅ Jiwoo Jeong ⋅ Hyeonjin Kim ⋅ Yunseok Lee ⋅ Woojin Lee

SDErasure: Concept-Specific Trajectory Shifting for Concept Erasure via Adaptive Diffusion Classifier

Fengyuan Miao ⋅ Shancheng Fang ⋅ Lingyun Yu ⋅ Yadong Qu ⋅ Yuhao Sun ⋅ Xiaorui Wang ⋅ Hongtao Xie

BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models

Thierry Blankenstein ⋅ Jialin Yu ⋅ Zixuan Li ⋅ Vassilis Plachouras ⋅ Sunando Sengupta ⋅ Philip Torr ⋅ Yarin Gal ⋅ Alasdair Paren ⋅ Adel Bibi

Reconstructing KV Caches with Cross-Layer Fusion for Enhanced Transformers

Hongzhan Lin ⋅ Zhiqi Bai ⋅ Xinmiao Zhang ⋅ Siran Yang ⋅ Jiamang Wang ⋅ Yunlong Xu ⋅ JIAHENG LIU ⋅ Yongchi Zhao ⋅ Xiang Li ⋅ Yuchi Xu ⋅ wenbo su ⋅ Bo Zheng

Implicit Regularization of SGD Reduces Shortcut Learning

Nahal Mirzaie ⋅ Alireza Alipanah ⋅ Ali Abbasi ⋅ Amirmahdi Farzane ⋅ Hossein Jafarinia ⋅ Erfan Sobhaei ⋅ Mahdi Ghaznavi ⋅ Amir Najafi ⋅ Mahdieh Baghshah ⋅ Mohammad Hossein Rohban

Fine-Grained Privacy Extraction from Retrieval-Augmented Generation Systems by Exploiting Knowledge Asymmetry

Yufei Chen ⋅ Yao Wang ⋅ Haibin Zhang ⋅ Tao Gu

GhostEI-Bench: Do Mobile Agent Resilience to Environmental Injection in Dynamic On-Device Environments?

Chiyu Chen ⋅ Xinhao Song ⋅ Yunkai Chai ⋅ Yang Yao ⋅ Haodong Zhao ⋅ Lijun Li ⋅ Jie Li ⋅ Yan Teng ⋅ Gongshen Liu ⋅ Yingchun Wang

Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention

Yichi Zhang ⋅ Yue Ding ⋅ Jingwen Yang ⋅ Tianwei Luo ⋅ Dongbai Li ⋅ Ranjie Duan ⋅ Qiang Liu ⋅ Hang Su ⋅ Yinpeng Dong ⋅ Jun Zhu

Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text

Hongyi Zhou ⋅ Jin Zhu ⋅ Kai Ye ⋅ Ying Yang ⋅ Erhan Xu ⋅ Chengchun Shi

PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm

Jing-Jing Li ⋅ Joel Mire ⋅ Eve Fleisig ⋅ Valentina Pyatkin ⋅ Anne Collins ⋅ Maarten Sap ⋅ Sydney Levine

P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling

Pinyi Zhang ⋅ Ting-En Lin ⋅ Yuchuan Wu ⋅ Jingyang Chen ⋅ Zongqi Wang ⋅ Hua Yang ⋅ Bing Zhao ⋅ Fei Huang ⋅ Yongbin Li ⋅ Kai Zhang

Mapping Overlaps in Benchmarks through Perplexity in the Wild

Siyang Wu ⋅ Honglin Bao ⋅ Sida Li ⋅ Ari Holtzman ⋅ James Evans

Modal Aphasia: Can Unified Multimodal Models Describe Images From Memory?

Michael Aerni ⋅ Joshua Swanson ⋅ Kristina Nikolić ⋅ Florian Tramer

Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?

Ruixin Yang ⋅ Ethan Mendes ⋅ Arthur Wang ⋅ James Hays ⋅ Sauvik Das ⋅ Wei Xu ⋅ Alan Ritter

WaterDrum: Watermark-based Data-centric Unlearning Metric

Xinyang Lu ⋅ Xinyuan Niu ⋅ Gregory Kang Ruey Lau ⋅ Nhung Bui ⋅ Rachael Hwee Ling Sim ⋅ John Russell Himawan ⋅ Fanyu Wen ⋅ Chuan Sheng Foo ⋅ See-Kiong Ng ⋅ Bryan Kian Hsiang Low

CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detection

Boyang Dai ⋅ 曾 Fan ⋅ Zihao Qi ⋅ Meng Lou ⋅ Yizhou Yu

LDT: Layer-Decomposition Training Makes Networks More Generalizable

Zaizuo Tang ⋅ Zongqi Yang ⋅ Yu-Bin Yang

Test-time Domain Generalization for Image Super-resolution

Zaizuo Tang ⋅ Yu-Bin Yang

Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis

Ziquan Zhu ⋅ Hanruo Zhu ⋅ Si-Yuan Lu ⋅ Xiang Li ⋅ Yanda Meng ⋅ Yunxiao Zhang ⋅ Gaojie Jin ⋅ Lu Yin ⋅ Lijie Hu ⋅ Di Wang ⋅ Lu Liu ⋅ Tianjin Huang

High-dimensional Analysis of Synthetic Data Selection

Parham Rezaei ⋅ Filip Kovačević ⋅ Francesco Locatello ⋅ Marco Mondelli

Nonparametric Contextual Online Bilateral Trade

Emanuele Coccia ⋅ Martino Bernasconi ⋅ Andrea Celli

Algorithmic Guarantees for Distilling Supervised and Offline RL Datasets

Aaryan Gupta ⋅ Rishi Saket ⋅ Aravindan Raghuveer

Efficient Adversarial Attacks on High-dimensional Offline Bandits

Seyed Mohammad Hadi Hosseini ⋅ Amir Najafi ⋅ Mahdieh Baghshah

Deep-ICE: The first globally optimal algorithm for empirical risk minimization of two-layer maxout and ReLU networks

Xi He ⋅ Yi Miao ⋅ Max Little

FutureMind: Equipping Small Language Models with Strategic Thinking-Pattern Priors via Adaptive Knowledge Distillation

Shaoxiong Yang ⋅ Junting Li ⋅ Mengyuan Zhang ⋅ Chao Li ⋅ WEI LIU ⋅ Jian Luan

A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization

Hideaki Kim ⋅ Tomoharu Iwata

Learning under Quantization for High-Dimensional Linear Regression

Dechen Zhang ⋅ Junwei Su ⋅ Difan Zou

Variational Inference for Cyclic Learning

Zhuojun Zou ⋅ Jie Hao

Bayesian Influence Functions for Hessian-Free Data Attribution

Philipp Alexander Kreer ⋅ Wilson Wu ⋅ Maxwell Adam ⋅ Zach Furman ⋅ Jesse Hoogland

Finite-Time Analysis of Actor-Critic Methods with Deep Neural Network Approximation

Xuyang Chen ⋅ Fengzhuo Zhang ⋅ Keyu Yan ⋅ Lin Zhao

Automata Learning and Identification of the Support of Language Models

Satwik Bhattamishra ⋅ Michael Hahn ⋅ Varun Kanade

An efficient, provably optimal algorithm for the 0-1 loss linear classification problem

Xi He ⋅ Max Little

Learning the Inverse Temperature of Ising Models under Hard Constraints using One Sample

Rohan Chauhan ⋅ Ioannis Panageas

A Recovery Guarantee for Sparse Neural Networks

Sara Fridovich-Keil ⋅ Mert Pilanci

Reading Images Like Texts: Sequential Image Understanding in Vision-Language Models

Yueyan Li ⋅ Chenggong Zhao ⋅ Zeyuan Zang ⋅ Caixia YUAN ⋅ Xiaojie Wang

Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability

Usha Bhalla ⋅ Alex Oesterling ⋅ Claudio Mayrink Verdun ⋅ Hima Lakkaraju ⋅ Flavio Calmon

Characterizing and Mitigating Reasoning Drift in Large Language Models

Yufeng Zhang ⋅ Xuepeng Wang ⋅ Lingxiang Wu ⋅ Jinqiao Wang

Neural+Symbolic Approaches for Interpretable Actor-Critic Reinforcement Learning

Yue Yang ⋅ Fan Yang ⋅ Yu Bai ⋅ Hao Wang

Provably Explaining Neural Additive Models

Shahaf Bassan ⋅ Yizhak Elboher ⋅ Tobias Ladner ⋅ Volkan Şahin ⋅ Jan Kretinsky ⋅ Matthias Althoff ⋅ Guy Katz

RCPU: Rotation-Constrained Error Compensation for Structured Pruning of Large Language Models

Shuichiro Haruta ⋅ Kazunori Matsumoto ⋅ Zhi Li ⋅ Yanan Wang ⋅ Mori Kurokawa

Token-Importance Guided Direct Preference Optimization

Ning Yang ⋅ Hai Lin ⋅ Yibo Liu ⋅ Baoliang Tian ⋅ Guoqing Liu ⋅ Haijun Zhang

Implicit Bias and Loss of Plasticity in Matrix Completion: Depth Promotes Low-Rankness

Baekrok Shin ⋅ Chulhee Yun

LoRA-S: An Efficient Low Rank Adaptation scheme via Sylvester equation

Jinyang ZHENG ⋅ Tong Wu

Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval

Wenhao Yang ⋅ Sifan Yang ⋅ Lijun Zhang

Multi-LLM Adaptive Conformal Inference for Reliable LLM Response

Kangjun Noh ⋅ Seongchan Lee ⋅ Ilmun Kim ⋅ Kyungwoo Song

In-Context Multi-Objective Optimization

Xinyu Zhang ⋅ Conor Hassan ⋅ Julien Martinelli ⋅ Daolang Huang ⋅ Samuel Kaski

A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond

Nikos Tsikouras ⋅ Yorgos Pantis ⋅ Ioannis Mitliagkas ⋅ Christos Tzamos

Towards Sampling Data Structures for Tensor Products in Turnstile Streams

Zhao Song ⋅ Shenghao Xie ⋅ Samson Zhou

Graph Random Features for Scalable Gaussian Processes

Matthew Zhang ⋅ Jihao Andreas Lin ⋅ Krzysztof Choromanski ⋅ Adrian Weller ⋅ Richard E Turner ⋅ Isaac Reid

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis

Gholamali Aminian ⋅ Idan Shenfeld ⋅ Amir Reza Asadi ⋅ Ahmad Beirami ⋅ Youssef Mroueh

Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions

Yue Kang ⋅ Mingshuo Liu ⋅ Bongsoo Yi ⋅ Jing Lyu ⋅ Zhi Zhang ⋅ Doudou Zhou ⋅ Yao Li

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs

Zixuan Ren ⋅ Jinliang Lu ⋅ Junhong Wu ⋅ Yang Zhao ⋅ Dai Dai ⋅ hua wu ⋅ Haifeng Wang ⋅ Chengqing Zong

Tackling Heavy-Tailed Q-Value Bias in Offline-to-Online Reinforcement Learning with Laplace-Robust Modeling

Ruibo Guo ⋅ Lei Liu ⋅ Rui Yang ⋅ Junjie Shen ⋅ Guoping Wu ⋅ Jie Wang ⋅ Bin Li

ROC-n-reroll: How verifier imperfection affects test-time scaling

Florian Eddie Dorner ⋅ Yatong Chen ⋅ André F. Cruz ⋅ Fanny Yang

Proximal Supervised Fine-Tuning

Wenhong Zhu ⋅ Ruobing Xie ⋅ Rui Wang ⋅ Samm Sun ⋅ Di Wang ⋅ Pengfei Liu

Scalable Offline Model-Based RL with Action Chunks

Kwanyoung Park ⋅ Seohong Park ⋅ Youngwoon Lee ⋅ Sergey Levine

From Curiosity to Caution: Mitigating Reward Hacking for Best-of-$N$ with Pessimism

Zhuohao Yu ⋅ Steven Wu ⋅ Adam Block

Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models

Yixiu Mao ⋅ Yun Qu ⋅ Qi Wang ⋅ Heming Zou ⋅ Xiangyang Ji

Reevaluating Policy Gradient Methods for Imperfect-Information Games

Max Rudolph ⋅ Nathan Lichtlé ⋅ Sobhan Mohammadpour ⋅ Alexandre M Bayen ⋅ Zico Kolter ⋅ Amy Zhang ⋅ Gabriele Farina ⋅ Eugene Vinitsky ⋅ Samuel Sokota

XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning

Daniel Palenicek ⋅ Florian Vogt ⋅ Joe Watson ⋅ Ingmar Posner ⋅ Jan Peters

Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning

Chi Ruan ⋅ Dongfu Jiang ⋅ Yubo Wang ⋅ Wenhu Chen

Spectral Bellman Method: Unifying Representation and Exploration in RL

Ofir Nabati ⋅ Bo Dai ⋅ Shie Mannor ⋅ Guy Tennenholtz

ReVeal: Self-Evolving Code Agents via Reliable Self-Verification

Yiyang Jin ⋅ Kunzhao Xu ⋅ Hang Li ⋅ Xueting Han ⋅ Yanmin Zhou ⋅ Cheng Li ⋅ Jing Bai

CORE: Concept-Oriented Reinforcement for Bridging the Definition–Application Gap in Mathematical Reasoning

Zijun Gao ⋅ Zhikun Xu ⋅ Xiao Ye ⋅ Ben Zhou

LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts

Siyuan Wang ⋅ Gaokai Zhang ⋅ Li Lyna Zhang ⋅ Ning Shang ⋅ Fan Yang ⋅ Dongyao Chen ⋅ Mao Yang

Probing in the Dark: State Entropy Maximization for POMDPs

Yonatan Ashlag ⋅ Mirco Mutti ⋅ Aviv Tamar ⋅ Kfir Y Levy

No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping

Thanh-Long V. Le ⋅ Myeongho Jeon ⋅ Kim Vu ⋅ Viet Lai ⋅ Eunho Yang

One Model for All Tasks: Leveraging Efficient World Models in Multi-Task Planning

Yuan Pu ⋅ Yazhe Niu ⋅ Jia Tang ⋅ Junyu Xiong ⋅ Shuai Hu ⋅ Hongsheng Li

Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning

Seungyul Han ⋅ Sanghyeon Lee ⋅ Sangjun Bae ⋅ Yisak Park

Flow Matching Policy Gradients

David McAllister ⋅ Songwei Ge ⋅ Brent Yi ⋅ Chung Min Kim ⋅ Ethan Weber ⋅ Hongsuk Choi ⋅ Haiwen Feng ⋅ Angjoo Kanazawa

Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics

Maksim Bobrin ⋅ Ilya Zisman ⋅ Alexander Nikulin ⋅ Vladislav Kurenkov ⋅ Dmitry Dylov

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning

Seungyul Han ⋅ Jaebak Hwang ⋅ Sanghyeon Lee ⋅ Jeongmo Kim

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Anisha Gunjal ⋅ Anthony Wang ⋅ Elaine Lau ⋅ Vaskar Nath ⋅ Yunzhong He ⋅ Bing Liu ⋅ Sean Hendryx

Does “Do Differentiable Simulators Give Better Policy Gradients?” Give Better Policy Gradients?

Ku Onoda ⋅ Paavo Parmas ⋅ Manato Yaguchi ⋅ Yutaka Matsuo

EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget

Liang CHEN ⋅ Xueting Han ⋅ Qizhou Wang ⋅ Bo Han ⋅ Jing Bai ⋅ Hinrich Schuetze ⋅ Kam-Fai Wong

Unlocking Long-Horizon Agentic Search with Large-Scale End-to-End RL

Jiaxuan Gao ⋅ Wei Fu ⋅ Minyang Xie ⋅ Shusheng Xu ⋅ Chuyi He ⋅ Zhiyu Mei ⋅ Banghua Zhu ⋅ Yi Wu

Q-RAG: Long Context Multi‑Step Retrieval via Value‑Based Embedder Training

Artyom Sorokin ⋅ Nazar Buzun ⋅ Aleksandr Anokhin ⋅ Egor VEDERNIKOV ⋅ Petr Anokhin ⋅ Mikhail Burtsev ⋅ Evgeny Burnaev

Learning Massively Multitask World Models for Continuous Control

Nick Hansen ⋅ Hao Su ⋅ Xiaolong Wang

GRL-SNAM: Geometric Reinforcement Learning with Differential Hamiltonians for Navigation and Mapping in Unknown Environments

Aditya Ellendula ⋅ Yi Wang ⋅ Minh Nguyen ⋅ Chandrajit Bajaj

RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data

Zhengkang Guo ⋅ Wenhao Liu ⋅ Mingchen Xie ⋅ Jingwen Xu ⋅ Zisu Huang ⋅ Muzhao Tian ⋅ Jianhan Xu ⋅ Yuanzhe Shen ⋅ Qi Qian ⋅ Muling Wu ⋅ Xiaohua Wang ⋅ Heda Wang ⋅ Yao Hu ⋅ Changze Lv ⋅ Xuanjing Huang ⋅ Xiaoqing Zheng

Self-Aligned Reward: Towards Effective and Efficient Reasoners

Peixuan Han ⋅ ADIT KRISHNAN ⋅ Gerald Friedland ⋅ Jiaxuan You ⋅ Luyang Kong

Understanding and Improving Hyperbolic Deep Reinforcement Learning

Timo Klein ⋅ Thomas Lang ⋅ Andrii Shkabrii ⋅ Alexander Sturm ⋅ Kevin Sidak ⋅ Lukas Miklautz ⋅ Claudia Plant ⋅ Yllka Velaj ⋅ Sebastian Tschiatschek

Sample Lottery: Unsupervised Discovery of Critical Instances for LLM Reasoning

Zhiping Xiao ⋅ Yusheng Zhao ⋅ Qixin ZHANG ⋅ Jiaye Xie ⋅ Wanjia Zhao ⋅ Weizhi Zhang ⋅ Xiao Luo ⋅ Philip Yu ⋅ Ming Zhang

ExGRPO: Learning to Reason from Experience

Runzhe Zhan ⋅ Yafu Li ⋅ Zhi Wang ⋅ Xiaoye Qu ⋅ Dongrui Liu ⋅ Jing Shao ⋅ Derek Wong ⋅ Yu Cheng

Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning

Zhuoxu Huang ⋅ Mengxi Jia ⋅ Hao Sun ⋅ Xuelong Li ⋅ Jungong Han

Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning

Vittorio Giammarino ⋅ Ahmed Hussain Qureshi

RM-R1: Reward Modeling as Reasoning

Xiusi Chen ⋅ Gaotang Li ⋅ Ziqi Wang ⋅ Bowen Jin ⋅ Cheng Qian ⋅ Yu Wang ⋅ Hongru WANG ⋅ Yu Zhang ⋅ Denghui Zhang ⋅ Tong Zhang ⋅ Hanghang Tong ⋅ Heng Ji

Learning to Maximize Rewards via Reaching Goals

Chongyi Zheng ⋅ Mahsa Bastankhah ⋅ Grace Liu ⋅ Benjamin Eysenbach

Directed Exploration in Reinforcement Learning from Linear Temporal Logic

Marco Bagatella · Andreas Krause · Georg Martius

ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment

Xiaoqiang Lin ⋅ Arun Verma ⋅ Zhongxiang Dai ⋅ Daniela Rus ⋅ See-Kiong Ng ⋅ Bryan Kian Hsiang Low

MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning

Haocheng Yang ⋅ Fengxiang Cheng ⋅ Tianjun Yao ⋅ Mengyue Yang ⋅ Jiajun Chai ⋅ Xiaohan Wang ⋅ Guojun Yin ⋅ Wei Lin ⋅ Soummya Kar ⋅ Fenrong Liu ⋅ Haoxuan Li ⋅ Yisen Wang

Who Matters Matters: Agent-Specific Conservative Offline MARL

Haosheng Chen ⋅ Yun Hua ⋅ Wenhao Li ⋅ Shiqin Wang ⋅ Xiangfeng Wang

Cortical Policy: A Dual-Stream View Transformer for Robotic Manipulation

Xuening Zhang ⋅ Qi Lv ⋅ Xiang Deng ⋅ Miao Zhang ⋅ Xingbo Liu ⋅ Liqiang Nie

Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems

Keyu Li ⋅ Jin Gao ⋅ Dequan Wang

SPACeR: Self-Play Anchoring with Centralized Reference Models

Wei-Jer Chang ⋅ Akshay Rangesh ⋅ Kevin Joseph ⋅ Matthew Strong ⋅ Masayoshi Tomizuka ⋅ yihan hu ⋅ Wei Zhan

Multi-Agent Guided Policy Optimization

yueheng li ⋅ Guangming Xie ⋅ Zongqing Lu

CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control

Zirui Yuan ⋅ Siqi Lai ⋅ Hao Liu

Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow

Xinlei Yu ⋅ Chengming Xu ⋅ Guibin Zhang ⋅ Yongbo He ⋅ Zhangquan Chen ⋅ Zhucun Xue ⋅ Jiangning Zhang ⋅ Yue Liao ⋅ Xiaobin Hu ⋅ Yu-Gang Jiang ⋅ Shuicheng YAN

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization

Junjie Sheng ⋅ Yantian Wang ⋅ Bo Jin ⋅ Hongyuan Zha ⋅ Jun Wang ⋅ Wenhao Li ⋅ Xiangfeng Wang

Learning to summarize user information for personalized reinforcement learning from human feedback

HyunJi Nam ⋅ Yanming Wan ⋅ Mickel Liu ⋅ Peter Ahnn ⋅ Jianxun Lian ⋅ Natasha Jaques

Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models

Zizhuo Zhang ⋅ Jianing ZHU ⋅ Xinmu Ge ⋅ Zihua Zhao ⋅ (Andrew) Zhanke Zhou ⋅ Xuan Li ⋅ Xiao Feng ⋅ Jiangchao Yao ⋅ Bo Han

From Observations to Events: Event-Aware World Models for Reinforcement Learning

Peng Zhao-Han ⋅ Shaohui Li ⋅ Zhi Li ⋅ Shulan Ruan ⋅ Yu LIU ⋅ You He

Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits

Mengmeng Li ⋅ Philipp Schneider ⋅ Jelisaveta Aleksic ⋅ Daniel Kuhn

Online Decision Making with Generative Action Sets

Jianyu Xu ⋅ Vidhi Jain ⋅ Bryan Wilder ⋅ Aarti Singh

REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Reasoning

Hexuan Deng ⋅ Wenxiang Jiao ⋅ Xuebo Liu ⋅ Jun Rao ⋅ Min Zhang

SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration

Kaustubh Mani ⋅ Yann Pequignot ⋅ Vincent Mai ⋅ Liam Paull

Beyond Distributions: Geometric Action Control for Continuous Reinforcement Learning

Zhihao Lin

Solving Parameter-Robust Avoid Problems with Unknown Feasibility using Reinforcement Learning

Oswin So ⋅ Eric Yu ⋅ Songyuan Zhang ⋅ Matthew Cleaveland ⋅ Mitchell Black ⋅ Chuchu Fan

Budget Alignment: Making Models Reason in the User's Language

Shan Chen ⋅ Jirui Qi ⋅ Zidi Xiong ⋅ Timothy Miller ⋅ Arianna Bisazza ⋅ Raquel Fernández ⋅ Danielle Bitterman

WebArbiter: A Generative Reasoning Process Reward Model for Web Agents

Yao Zhang ⋅ Shijie Tang ⋅ Zeyu Li ⋅ Zhen Han ⋅ Volker Tresp

Learning Admissible Heuristics for A*: Theory and Practice

Ehsan Futuhi ⋅ Nathan Sturtevant

Regret-Guided Search Control for Efficient Learning in AlphaZero

Yun-Jui Tsai ⋅ Wei-Yu Chen ⋅ Yan-Ru Ju ⋅ Yu-Hung Chang ⋅ Ti-Rong Wu

Planning with an Embodied Learnable Memory

Priyam Parashar ⋅ Jacob Krantz ⋅ Matthew Chang ⋅ Kavit Shah ⋅ Xavier Puig ⋅ Roozbeh Mottaghi

Latent Adaptation of Foundation Policies for Sim-to-Real Transfer

Longchao Da ⋅ T Kutralingam ⋅ Lirong Xiang ⋅ Hua Wei

SFT Doesn’t Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs

Jiacheng Lin ⋅ Zhongruo Wang ⋅ Kun Qian ⋅ Tian Wang ⋅ Arvind Srinivasan ⋅ Hansi Zeng ⋅ Ruochen Jiao ⋅ Xie Zhou ⋅ Jiri Gesi ⋅ Dakuo Wang ⋅ Yufan Guo ⋅ Kai Zhong ⋅ Weiqi Zhang ⋅ sujay sanghavi ⋅ Changyou Chen ⋅ Hyokun Yun ⋅ Lihong Li

Lipschitz Bandits with Stochastic Delayed Feedback

Zhongxuan Liu ⋅ Yue Kang ⋅ Thomas Lee

On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting

Wenhao Zhang ⋅ Yuexiang Xie ⋅ Yuchang Sun ⋅ Yanxi Chen ⋅ Guoyin Wang ⋅ Yaliang Li ⋅ Bolin Ding ⋅ Jingren Zhou

Asynchronous Policy Gradient Aggregation for Efficient Distributed Reinforcement Learning

Alexander Tyurin ⋅ Andrei Spiridonov ⋅ Varvara Rudenko

ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning

Roger Creus Castanyer ⋅ Faisal Mohamed ⋅ Pablo Samuel Castro ⋅ Cyrus Neary ⋅ Glen Berseth

Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards

Jiajun Fan ⋅ Roger Ren ⋅ Jingyuan Li ⋅ Rahul Pandey ⋅ Prashanth Gurunath Shivakumar ⋅ Ivan Bulyko ⋅ Ankur Gandhe ⋅ Ge Liu ⋅ Yile Gu

On the Computational Limits of AI4S-RL : A Unified $\varepsilon$-$N$ Analysis

Qili Shen ⋅ Kairui Feng ⋅ Ang He ⋅ Xuanhong Chen ⋅ Dake Zhang

EMFuse: Energy-based Model Fusion for Decision Making

Kejie He ⋅ Yi-Chen Li ⋅ Yang Yu

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models

Runpeng Dai ⋅ Linfeng Song ⋅ Haolin Liu ⋅ Zhenwen Liang ⋅ Dian Yu ⋅ Haitao Mi ⋅ Zhaopeng Tu ⋅ Rui Liu ⋅ Tong Zheng ⋅ Hongtu Zhu ⋅ Dong Yu

OPPO: Accelerating PPO-based RLHF via Pipeline Overlap

Kaizhuo Yan ⋅ YingJie Yu ⋅ Yifan Yu ⋅ Haizhong Zheng ⋅ Fan Lai

Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Method

Haochen Wang ⋅ Xiangtai Li ⋅ Zilong Huang ⋅ Anran Wang ⋅ Jiacong Wang ⋅ Tao Zhang ⋅ Jiani zheng ⋅ Sule Bai ⋅ Zijian Kang ⋅ Jiashi Feng ⋅ Zhuochen Wang ⋅ Zhaoxiang Zhang

OmniNav: A Unified Framework for Prospective Exploration and Visual-Language Navigation

Xinda Xue ⋅ Junjun Hu ⋅ Minghua Luo ⋅ Shichao Xie ⋅ Jintao Chen ⋅ Zixun Xie ⋅ Quan Kuichen ⋅ Wei Guo ⋅ Zedong Chu ⋅ Mu Xu ⋅ Zhengzhou Zhu

COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations

Pandula Thennakoon ⋅ Avishka Ranasinghe ⋅ Mario De Silva ⋅ Buwaneka Epakanda ⋅ Roshan Godaliyadda ⋅ Mervyn Ekanayake ⋅ Vijitha Herath

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization

Xiaoyan Zhao ⋅ Juntao Jun ⋅ Yang Zhang ⋅ Wenjie Wang ⋅ Hong Cheng ⋅ Fuli Feng ⋅ See-Kiong Ng ⋅ Tat-Seng Chua

EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning

Dingdong WANG ⋅ Shujie LIU ⋅ Tianhua Zhang ⋅ Youjun Chen ⋅ Jinyu Li ⋅ Helen Meng

Flow Caching for Autoregressive Video Generation

Yuexiao Ma ⋅ Xuzhe Zheng ⋅ Jing Xu ⋅ Xiwei Xu ⋅ Feng Ling ⋅ Xiawu Zheng ⋅ Huafeng Kuang ⋅ Huixia Li ⋅ XING WANG ⋅ Xuefeng Xiao ⋅ Fei Chao ⋅ Rongrong Ji

AutoDA-Timeseries: Automated Data Augmentation for Time Series

Zijun Dou ⋅ Zhenhe Yao ⋅ Zhe Xie ⋅ Xidao Wen ⋅ Tong Xiao ⋅ Dan Pei

MemGen: Weaving Generative Latent Memory for Self-Evolving Agents

Guibin Zhang ⋅ Muxin Fu ⋅ Shuicheng YAN

Hedonic Neurons: A Mechanistic Mapping of Latent Coalitions in Transformer MLPs

Tanya Chowdhury ⋅ Atharva Nijasure ⋅ Yair Zick ⋅ James Allan

ORCaS: Unsupervised Depth Completion via Occluded Region Completion as Supervision

Hyoungseob Park ⋅ Runjian Chen ⋅ Patrick Rim ⋅ Dong Lao ⋅ Alex Wong

The Potential of CoT for Reasoning: A Closer Look at Trace Dynamics

Gregor Bachmann ⋅ Yichen Jiang ⋅ Seyed-Mohsen Moosavi-Dezfooli ⋅ Moin Nabi

NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning

Huayu Chen ⋅ Kaiwen Zheng ⋅ Qinsheng Zhang ⋅ Ganqu Cui ⋅ Yin Cui ⋅ Haotian Ye ⋅ Tsung-Yi Lin ⋅ Ming-Yu Liu ⋅ Jun Zhu ⋅ Haoxiang Wang

PerfGuard: A Performance-Aware Agent for Visual Content Generation

Zhipeng Chen ⋅ zhongrui zhang ⋅ Chao Zhang ⋅ Yifan Xu ⋅ LAN YANG ⋅ Jun Liu ⋅ Ke Li ⋅ Yi-Zhe Song

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?

Qinyan Zhang ⋅ Xinping Lei ⋅ Ruijie Miao ⋅ FU YU ⋅ Haojie Fan ⋅ Le Chang ⋅ Jiafan Hou ⋅ Dingling Zhang ⋅ Zhongfei Hou ⋅ ZiqiangYang ⋅ puchangxin ⋅ FEI HU ⋅ Jingkai Liu ⋅ JIAHENG LIU ⋅ Tong Yang ⋅ Zaiyuan Wang ⋅ Ge Zhang ⋅ Xinjie Chen ⋅ Jianpeng Jiao ⋅ Wenhao Huang

MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems

Kun Wang ⋅ Guibin Zhang ⋅ ManKit Ye ⋅ Xinyu Deng ⋅ Dongxia Wang ⋅ Xiaobin Hu ⋅ Jinyang Guo ⋅ Yang Liu ⋅ Yufei Guo

MaskCO: Masked Generation Drives Effective Representation Learning and Exploiting for Combinatorial Optimization

Lvda Chen ⋅ Yang Li ⋅ Junchi Yan

LatentQA: Teaching LLMs to Decode Activations Into Natural Language

Alexander Pan ⋅ Lijie Chen ⋅ Jacob Steinhardt

Stability Under Scrutiny: Benchmarking Representation Paradigms for Online HD Mapping

Hao Shan ⋅ Ruikai Li ⋅ Han Jiang ⋅ Yizhe Fan ⋅ Ziyang Yan ⋅ Bohan Li ⋅ Xiaoshuai Hao ⋅ Hao Zhao ⋅ Zhiyong Cui ⋅ Yilong Ren ⋅ Haiyang Yu

PRISM: Partial-label Relational Inference with Spatial and Spectral Cues

Yiyang Gu ⋅ Wenrui Wu ⋅ Yifang Qin ⋅ Taian Guo ⋅ Tao Zhe ⋅ Jiaru Tang ⋅ Zhiping Xiao ⋅ Weizhi Zhang ⋅ Ziyue Qiao ⋅ Wei Ju ⋅ Dongjie Wang ⋅ Xiao Luo ⋅ Philip Yu ⋅ Ming Zhang

Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data?

Shaobo Wang ⋅ Cong Wang ⋅ Wenjie Fu ⋅ Yue Min ⋅ Mingquan Feng ⋅ Isabel Guan ⋅ Xuming Hu ⋅ Conghui He ⋅ Cunxiang Wang ⋅ Kexin Yang ⋅ Xingzhang Ren ⋅ Fei Huang ⋅ Dayiheng Liu ⋅ Linfeng Zhang

Taming Hierarchical Image Coding Optimization: A Spectral Regularization Perspective

Wuyang Cong ⋅ Junqi Shi ⋅ Ming Lu ⋅ Xu Zhang ⋅ Zhan Ma

From Markov to Laplace: How Mamba In-Context Learns Markov Chains

Marco Bondaschi ⋅ Nived Rajaraman ⋅ Xiuying Wei ⋅ Razvan Pascanu ⋅ Caglar Gulcehre ⋅ Michael Gastpar ⋅ Ashok Makkuva

PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models

Xuewen Liu ⋅ Zhikai Li ⋅ Jing Zhang ⋅ Mengjuan Chen ⋅ Jianquan Li ⋅ Qingyi Gu

Bridging Degradation Discrimination and Generation for Universal Image Restoration

Jiakui Hu ⋅ Zhengjian Yao ⋅ Lujia Jin ⋅ Yanye Lu

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents

Mingxuan Du ⋅ Benfeng Xu ⋅ Chiwei Zhu ⋅ Licheng Zhang ⋅ Xiaorui Wang ⋅ Zhendong Mao

SpatiaLab: Can Vision–Language Models Perform Spatial Reasoning in the Wild?

Azmine Toushik Wasi ⋅ Wahid Faisal ⋅ Abdur Rahman ⋅ Mahfuz Ahmed Anik ⋅ Munem Shahriar ⋅ Mohsin Topu ⋅ Sadia Tasnim Meem ⋅ Rahatun Priti ⋅ Sabrina Mitu ⋅ Iqramul Hoque ⋅ Shahriyar Ridoy ⋅ Mohammed Eunus Ali ⋅ Majd Hawasly ⋅ Mohammad Raza ⋅ Md Rizwan Parvez

Group-Normalized Implicit Value Optimization for Language Models

Yunseon Choi ⋅ Junyoung Jang ⋅ Chaeyoung Oh ⋅ Minchan Jeong ⋅ Doo Hwan Hwang ⋅ Kee-Eung Kim

Out of the Memory Barrier: A Highly Memory-Efficient Training System for LLMs with Million-Token Contexts

Wenhao Li ⋅ Daohai Yu ⋅ Gen Luo ⋅ Yuxin Zhang ⋅ Yifan Wu ⋅ Jiaxin Liu ⋅ Ziyang Gong ⋅ Zimu Liao ⋅ Fei Chao ⋅ Rongrong Ji

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark

Rongyao Fang ⋅ Aldrich Yu ⋅ Chengqi Duan ⋅ Linjiang Huang ⋅ Shuai Bai ⋅ Yuxuan Cai ⋅ Kun Wang ⋅ Si Liu ⋅ Xihui Liu ⋅ Hongsheng Li

SELF-HARMONY: LEARNING TO HARMONIZE SELF-SUPERVISION AND SELF-PLAY IN TEST-TIME REINFORCEMENT LEARNING

Ru Wang ⋅ Wei Huang ⋅ Qi Cao ⋅ Yusuke Iwasawa ⋅ Yutaka Matsuo ⋅ Jiaxian Guo

Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training

Jakub Krajewski ⋅ Amitis Shidani ⋅ Dan Busbridge ⋅ Sam Wiseman ⋅ Jason Ramapuram

PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning

Shunpeng Yang ⋅ Ben Liu ⋅ Hua Chen

AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs

Gunho Park ⋅ Jeongin Bae ⋅ Beomseok Kwon ⋅ Byeongwook Kim ⋅ Se Jung Kwon ⋅ Dongsoo Lee

Stroke3D: Lifting 2D strokes into rigged 3D model via latent diffusion models

Ruisi Zhao ⋅ Haoren Zheng ⋅ Zongxin Yang ⋅ Hehe Fan ⋅ Yi Yang

Adaptive Concept Discovery for Interpretable Few-Shot Text Classification

Lifang ZHENG ⋅ Hanmo Liu ⋅ Kani Chen

Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition

Jiahang Cao ⋅ Yize Huang ⋅ Hanzhong Guo ⋅ Qiang Zhang ⋅ Rui Zhang ⋅ Weijian Mai ⋅ Mu Nan ⋅ Jiaxu Wang ⋅ Hao Cheng ⋅ Jingkai SUN ⋅ Gang Han ⋅ Wen Zhao ⋅ Yijie Guo ⋅ Qihao Zheng ⋅ Xiao Li ⋅ Chunfeng Song ⋅ Ping Luo ⋅ Andrew Luo

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

Haozhan Li ⋅ Yuxin Zuo ⋅ Jiale Yu ⋅ Yuhao Zhang ⋅ Yang Zhaohui ⋅ Kaiyan Zhang ⋅ Xuekai Zhu ⋅ Yuchen Zhang ⋅ Tianxing Chen ⋅ Ganqu Cui ⋅ Dehui Wang ⋅ Dingxiang Luo ⋅ Yuchen Fan ⋅ Youbang Sun ⋅ Jia Zeng ⋅ Jiangmiao Pang ⋅ Shanghang Zhang ⋅ Yu Wang ⋅ Yao Mu ⋅ Bowen Zhou ⋅ Ning Ding

Leveraging Explanation to Improve Generalization of Meta Reinforcement Learning

Shicheng Liu ⋅ Minghui Zhu

Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics

Nima Shoghi ⋅ Yuxuan Liu ⋅ Yuning Shen ⋅ Rob Brekelmans ⋅ Pan Li ⋅ Quanquan Gu

DepthLM: Metric Depth from Vision Language Models

zhipeng cai ⋅ Ching-Feng Yeh ⋅ Hu Xu ⋅ Zhuang Liu ⋅ Gregory P. Meyer ⋅ Xinjie Lei ⋅ Changsheng Zhao ⋅ Shang-Wen Li ⋅ Vikas Chandra ⋅ Yangyang Shi

Flow Along the $K$-Amplitude for Generative Modeling

weitao du ⋅ Jiasheng Tang ⋅ Shuning Chang ⋅ Yu Rong ⋅ Fan Wang ⋅ Shengchao Liu

Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models

Runze Liu ⋅ Jiakang Wang ⋅ Yuling Shi ⋅ Zhihui Xie ⋅ Chenxin An ⋅ Kaiyan Zhang ⋅ Jian Zhao ⋅ Xiaodong Gu ⋅ Lei Lin ⋅ Wenping Hu ⋅ Xiu Li ⋅ Fuzheng Zhang ⋅ Guorui Zhou ⋅ Kun Gai

Enforcing Axioms for AI Alignment under Loss-Based Rules

Alexandros Hollender ⋅ Sonja Kraiczy

SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations

Wentao Guo ⋅ Mayank Mishra ⋅ Xinle Cheng ⋅ Ion Stoica ⋅ Tri Dao

ChemEval: A Multi-level and Fine-grained Chemical Capability Evaluation for Large Language Models

Yuqing Huang ⋅ Rongyang Zhang ⋅ Xuesong He ⋅ Xuyang Zhi ⋅ Hao Wang ⋅ Nuo Chen ⋅ Zongbo Liu ⋅ Xin Li ⋅ Feiyang Xu ⋅ Deguang Liu ⋅ Huadong Liang ⋅ YiLi ⋅ Jian Cui ⋅ Yin Xu ⋅ Shijin Wang ⋅ Qi Liu ⋅ Defu Lian ⋅ Guiquan Liu ⋅ Enhong Chen

Expert Merging in Sparse Mixture of Experts with Nash Bargaining

Dung Viet Nguyen ⋅ Anh Thi ⋅ Minh Hoang Nguyen ⋅ Luc Nguyen ⋅ Shiqi Jiang ⋅ Ethan Fetaya ⋅ Duy Linh Tran ⋅ Gal Chechik ⋅ Tan Nguyen

Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs

Yujie Zhao ⋅ Lanxiang Hu ⋅ Yang Wang ⋅ Minmin Hou ⋅ Hao Zhang ⋅ Ke Ding ⋅ Jishen Zhao

FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging

Ziyang Fan ⋅ Keyu Chen ⋅ Ruilong Xing ⋅ Yulin Li ⋅ Li Jiang ⋅ Zhuotao Tian

Uniform Discrete Diffusion with Metric Path for Video Generation

Haoge Deng ⋅ Ting Pan ⋅ Fan Zhang ⋅ Yang Liu ⋅ Zhuoyan Luo ⋅ Yufeng Cui ⋅ Wenxuan Wang ⋅ Chunhua Shen ⋅ Shiguang Shan ⋅ Zhaoxiang Zhang ⋅ Xinlong Wang

NC-Bench and NCfold: A Benchmark and Closed-Loop Framework for RNA Non-Canonical Base-Pair Prediction

Heqin Zhu ⋅ Ruifeng Li ⋅ Ao Chang ⋅ Mingqian Li ⋅ Hongyang Chen ⋅ Peng Xiong ⋅ S Kevin Zhou

CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning Segmentation

Zhenyu Lu ⋅ Liupeng Li ⋅ Jinpeng Wang ⋅ Yan Feng ⋅ Bin Chen ⋅ Ke Chen ⋅ Yaowei Wang

AutoCode: LLMs as Problem Setters for Competitive Programming

Shang Zhou ⋅ Zihan Zheng ⋅ Kaiyuan Liu ⋅ Zeyu Shen ⋅ Zerui Cheng ⋅ Zexing Chen ⋅ Hansen He ⋅ Jianzhu Yao ⋅ Huanzhi Mao ⋅ Qiuyang Mang ⋅ Tianfu Fu ⋅ Beichen Li ⋅ Dongruixuan Li ⋅ Wenhao Chai ⋅ Zhuang Liu ⋅ Aleksandra Korolova ⋅ Peter Henderson ⋅ Natasha Jaques ⋅ Pramod Viswanath ⋅ Saining Xie ⋅ Jingbo Shang

AudioTrust: Benchmarking The Multifaceted Trustworthiness of Audio Large Language Models

Kai Li ⋅ Can Shen ⋅ Yile Liu ⋅ Jirui Han ⋅ Kelong zheng ⋅ Xuechao Zou ⋅ Lionel WANG ⋅ Shun Zhang ⋅ Xingjian Du ⋅ Hanjun Luo ⋅ Yingbin Jin ⋅ Xinxin Xing ⋅ Ziyang Ma ⋅ Yue Liu ⋅ YiFan Zhang ⋅ Junfeng Fang ⋅ Kun Wang ⋅ Yibo Yan ⋅ Gelei Deng ⋅ Haoyang LI ⋅ Yiming Li ⋅ Xiaobin Zhuang ⋅ Tianlong Chen ⋅ Qingsong Wen ⋅ Tianwei Zhang ⋅ Yang Liu ⋅ Haibo Hu ⋅ Zhizheng Wu ⋅ Xiaolin Hu ⋅ Ensiong Chng ⋅ Wenyuan Xu ⋅ XiaoFeng Wang ⋅ Wei Dong ⋅ Xinfeng Li

On the Generalization Capacities of MLLMs for Spatial Intelligence

Gongjie Zhang ⋅ Wenhao Li ⋅ Quanhao Qian ⋅ Jiuniu Wang ⋅ Deli Zhao ⋅ Shijian Lu ⋅ Ran Xu

Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations

Yuxin Dong ⋅ Jiachen Jiang ⋅ Zhihui Zhu ⋅ Xia Ning

Think Then Embed: Generative Context Improves Multimodal Embedding

Xuanming Cui ⋅ Jianpeng Cheng ⋅ Hong-You Chen ⋅ Satya Narayan Shukla ⋅ Abhijeet Awasthi ⋅ Xichen Pan ⋅ Chaitanya Ahuja ⋅ Shlok Mishra ⋅ Taipeng Tian ⋅ Qi Guo ⋅ Ser-Nam Lim ⋅ Aashu Singh ⋅ Xiangjun Fan

Uncertainty-Aware 3D Reconstruction for Dynamic Underwater Scenes

Rui Liu ⋅ Zhibo Duan ⋅ Jianzhe Gao ⋅ Yi Yang ⋅ Wenguan Wang

Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors

Xin Liu ⋅ Runsong Zhao ⋅ Pengcheng Huang ⋅ Xinyu Liu ⋅ Junyi Xiao ⋅ chunyang xiao ⋅ Tong Xiao ⋅ Shengxiang Gao ⋅ Zhengtao Yu ⋅ JingBo Zhu

OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models

Mengdi Jia ⋅ Zekun Qi ⋅ Shaochen Zhang ⋅ Wenyao Zhang ⋅ XinQiang Yu ⋅ Jiawei He ⋅ He Wang ⋅ Li Yi

Flow Autoencoders are Effective Protein Tokenizers

Rohit Dilip ⋅ Evan Zhang ⋅ Ayush Varshney ⋅ David Van Valen

Can LLMs Reason Soundly in Law? Auditing Inference Patterns for Legal Judgment

Lu Chen ⋅ Yuxuan Huang ⋅ Yixing Li ⋅ Dongrui Liu ⋅ Qihan Ren ⋅ ShuaiZhao ⋅ Kun Kuang ⋅ Zilong Zheng ⋅ Quanshi Zhang

Efficient Zero-shot Inpainting with Decoupled Diffusion Guidance

Badr Moufad ⋅ Yazid Janati el idrissi ⋅ Navid Bagheri Shouraki ⋅ Alain Oliviero Durmus ⋅ Thomas Hirtz ⋅ Eric Moulines ⋅ Jimmy Olsson

Synthetic Bootstrapped Pretraining

Zitong Yang ⋅ Aonan Zhang ⋅ Hong Liu ⋅ Tatsunori Hashimoto ⋅ Emmanuel Candes ⋅ Chong Wang ⋅ Ruoming Pang

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary

Zhiwei Zhang ⋅ Hui Liu ⋅ Xiaomin Li ⋅ Zhenwei Dai ⋅ Jingying Zeng ⋅ Fali Wang ⋅ Minhua Lin ⋅ Ramraj Chandradevan ⋅ Linlin Wu ⋅ Zhen Li ⋅ Chen Luo ⋅ Zongyu Wu ⋅ Xianfeng Tang ⋅ Qi He ⋅ Suhang Wang

LipNeXt: Scaling up Lipschitz-based Certified Robustness to Billion-parameter Models

Kai Hu ⋅ Haoqi Hu ⋅ Matt Fredrikson

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity

Yide Ran ⋅ Wentao Guo ⋅ Jingwei Sun ⋅ Yanzhou Pan ⋅ Xiaodong Yu ⋅ Hao Wang ⋅ Jianwen Xie ⋅ Yiran Chen ⋅ Denghui Zhang ⋅ Zhaozhuo Xu

Latent Denoising Makes Good Tokenizers

Jiawei Yang ⋅ Tianhong Li ⋅ Lijie Fan ⋅ Yonglong Tian ⋅ Yue Wang

MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation

Weinan Jia ⋅ Yuning Lu ⋅ Mengqi Huang ⋅ Hualiang Wang ⋅ Binyuan Huang ⋅ Nan Chen ⋅ weihao zhou ⋅ Jidong Jiang ⋅ Zhendong Mao

Understanding and Fixing Bottlenecks in State Space Models: What Recency and Over-Smoothing Tell Us

Adrita Das ⋅ Dantong Zhu

Enhancing Vision-Language Model with Unmasked Token Alignment

Jihao Liu · Jinliang Zheng · Boxiao Liu · Yu Liu · Hongsheng Li

AB-UPT: Scaling Neural CFD Surrogates for High- Fidelity Automotive Aerodynamics Simulations via Anchored- Branched Universal Physics Transformers

Benedikt Alkin · Maurits Bleeker · Richard Kurle · Tobias Kronlachner · Reinhard Sonnleitner · Matthias Dorfer · Johannes Brandstetter

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Expo Talk Panel

Amazon Expo: AGI Lab, Boosting RL Solvability presented by Satyaki Chakraborty from Amazon AGI

Satyaki Chakraborty

12:00 PM - 1:00 PM

We are excited to present Amazon Nova, a groundbreaking portfolio of AI offerings that deliver frontier intelligence and industry-leading price performance. Nova is built on advanced AI technologies originally developed for Amazon's internal applications, such as Alexa+, Amazon Ads, and AWS Marketplace, and is now available to AWS customers. Amazon Nova includes Nova models, fast and cost-effective foundation models for text and multimodal needs; Nova Forge, a new service to build your own frontier models; and Nova Act, a new service to build agents that automate browser-based UI workflows powered by a custom Nova 2 Lite model. These models and services have built-in controls for the safe and responsible use of AI, delivering robust protections, content filters, and policy-aligned behaviors to meet compliance requirements. During our demo, a product engineer and researcher will showcase the product and the science behind it. We will demonstrate how Nova models can be customized to deliver responses that reflect industry expertise, powering interactive chat interfaces, Retrieval-Augmented Generation (RAG) systems, agentic applications, video analysis, and UI workflow automation solutions. We will also highlight the multimodal capabilities of Nova, which accept text, image, or video inputs to generate text output, and the creative content generation models that accept text and image inputs to generate image or video output. Amazon Nova has been adopted by tens of thousands of customers across industries, delivering measurable impact with cost savings and gains in productivity, automation, and quality with real-world deployments. We believe that Nova will be a valuable addition to the ICLR conference and look forward to sharing our insights and experiences with you.

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Expo Talk Panel

Ant Group: Scaling Hybrid Linear Attention Architecture to Trillion-Scale

12:00 PM - 1:00 PM

In this talk, we present our experience in scaling hybrid linear attention architectures to trillion-scale, through two models from the Ling Team: Ling-2.5-1T and Ring-2.5-1T. These models integrate linear attention with selected softmax attention layers to support efficient long-context training while preserving strong reasoning and representation capability. We share key algorithm–system co-design insights that make trillion-scale hybrid attention practical, including stability techniques for large-scale linear attention training and efficient distributed training for ultra-long sequences.

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Social

Claiming Your True Market Value as an AI Researcher in Industry -- Negotiation Workshop & Fireside Chat

Nicole Bannon ⋅

12:00 PM - 1:30 PM

As AI reshapes industries, compensation is changing faster than researchers can track. New labs, startups, and top companies are competing for talent with vastly different pay structures, currencies, and cultural norms. Yet most researchers are never formally taught how to understand their worth or navigate these systems. The result is an uneven landscape where brilliant minds often make life-changing decisions without the information they need.

The session begins with a concise, data-driven talk on current AI compensation and negotiation trends, grounded in real stories and case studies. From there, a fireside chat and open Q&A invite candid, experience-driven insights from researchers who have navigated these conversations firsthand.

Key Takeaways for attendees: * How to evaluate compensation (salary, equity, bonuses) across industry roles such as Research/Applied/Data Scientists, Research/Machine Learning/Software Engineers, and more * How to compare global opportunities and account for regional differences in pay structures * How to identify leverage points and negotiate effectively at different career stages and levels * How to respond to pushback and recognize red vs. green flags in job offers * How to negotiate the deadline, and avoid having an offer rescinded * How to advocate for yourself without counteroffers and amidst having fears

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Social

From IQ to AQ & EQ: Reimagining Real Estate with Agentic AI

Baoyuan Wang ⋅ Andy Martin

12:00 PM - 1:30 PM

Real estate is one of the most financially significant and emotionally complex decisions people make — yet digital experiences have historically optimized for information retrieval (i.e., home search) rather than intelligent and personalized guidance. In this talk, I’ll share how we are evolving from high-IQ systems that answer questions to agentic systems that demonstrate AQ (Agentic Quotient) and EQ (Emotional Intelligence). By combining deep, panoptic understanding of homes and users with advanced reasoning, planning, and tool use, we are building AI copilots that don’t just respond passively — they guide, anticipate, and act proactively. I’ll discuss the key technical challenges, and how we operationalize agentic AI in production, architect for trust in high-stakes decisions, and design experiences that transform the home journey from fragmented search into confident, personalized progression.

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Social

ML in Smell Tech Discussion Booth

⋅ Shuchen Liu

12:00 PM - 1:30 PM

This discussion booth explores the emerging intersection of machine learning and smell technology, also known as digital olfaction. The space is designed for researchers, students, builders, and curious attendees interested in how AI can be used to detect, classify, generate, and interpret scent-related data. Topics may include electronic noses, olfactory sensing, multimodal AI, applications in healthcare, food quality, environmental monitoring, fragrance, and human-computer interaction. The goal is to create an open and interdisciplinary conversation around both the technical challenges and the creative opportunities in this fast-growing field. Whether you work directly on ML models for chemical signal analysis or are simply interested in the future of smell interfaces and sensory intelligence, this booth offers a place to exchange ideas, share projects, discuss collaborations, and connect with others working at the frontier of AI and olfaction.

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Social

Building Physical AI at Scale: Data, Infrastructure, and Evaluation for the Real World

Nikolay Malkin

12:00 PM - 1:30 PM

Physical AI — robots, autonomous vehicles, and embodied agents — is approaching a genuine inflection point. Foundation models for real-world interaction are becoming viable, hardware costs are dropping, and developer interest is surging. Yet most teams building in this space are still stitching together their development stack from incompatible pieces, and it is slowing them down. The core bottlenecks are well understood but rarely addressed together. Real-world robotic behavior cannot be learned from synthetic data alone — collecting, annotating, and validating diverse physical-world data at scale is a full operational discipline. Training multimodal vision-language-action models demands infrastructure purpose-built for the task. And evaluating whether a model actually works in the physical world requires benchmarking approaches that go far beyond standard leaderboards. This social will bring together researchers and practitioners to examine all three problems in parallel. Short talks from speakers with hands-on experience in physical AI development will cover the state of real-world data pipelines, what purpose-built infrastructure for physical AI actually looks like, and how the community is approaching evaluation for embodied systems. An open discussion will follow, focused on where the biggest unsolved problems lie and how the research community can contribute.

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Expo Talk Panel

Huawei: openJiuwen：Precise, Simple, Efficient, Engineering Production-Ready AI Agents Platform

12:45 PM - 1:45 PM

openJiuwen is an open-source Agent framework and platform aimed at helping users build precise, simple, efficient, and engineering production-ready AI Agents. This presentation will cover two topics related to openJiuwen. First, we will introduce the key features and design philosophy of openJiuwen, including agent self-evolution, context compression and offloading, and the agent controller. Second, we will introduce an agent application developed based on openJiuwen: JiuwenClaw, an AI assistant that supports self-evolving capabilities and intelligent task management.

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Expo Talk Panel

Google: Towards 3D Foundational Robotics Models

Krzysztof M Choromanski

12:45 PM - 1:45 PM

Transformers have completely changed the landscape of Robotics, becoming main computational backbones of the generalist robotics models, capable of solving a variety of tasks across several embodiments and enviromental conditions. However designing foundational robotics architectures that can create efficient explicit or implicit 3D models of the surrounding environment and leverage them for optimal control is still work in progress and an exciting research direction. In this EXPO session, we will discuss progress made on this subject in last few years, bring panelists who are experts in the field to brainstorm new methods (e.g. particle-based world models for robotics) and discuss the impact of this research on robotics in a few years from now.

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Invited Talk

Invited Talk - Max Welling

Max Welling

1:45 PM - 2:45 PM

Speaker Bio

Prof. Dr. Max Welling is a full professor and research chair in machine learning at the University of Amsterdam and a Merkin distinguished visiting professor at Caltech. He is co-founder and CTO of the startup CuspAI in Materials Design. He is a member of the Royal Dutch Academy of Sciences, a fellow at the Canadian Institute for Advanced Research (CIFAR) and the European Lab for Learning and Intelligent Systems (ELLIS) where he served on the founding board. His previous appointments include Partner and VP at Microsoft Research, VP at Qualcomm Technologies, professor at UC Irvine. He finished his PhD in theoretical high energy physics under supervision of Nobel laureate prof. Gerard ‘t Hooft. He then switched fields to focus on machine learning, first as a postdoc at Caltech under supervision of prof. Pietro Perona and then as postdoc under supervision of Nobel laureate prof. Geoffrey Hinton at UCL & U. Toronto. Max Welling has served as associate editor in chief of IEEE TPAMI from 2011-2015, he serves on the advisory board of the Neurips foundation since 2015, he is co-founder of the European Lab for Learning and Intelligence Systems (ELLIS) and served on its founding board until 2021, he has been program chair and general chair of Neurips in 2013 and 2014 respectively. He was also program chair of AISTATS in 2009 and ECCV in 2016 and general chair and co-founder of MIDL 2018. Max Welling is recipient of the ECCV Koenderink Prize in 2010, and the 10 year Test of Time awards at ICML in 2021 and ICLR in 2024 as well as the inaugural ELIAS Alliance Science-Entrepreneur Award and the Dutch AI Award in 2026.

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Oral

Oral Session 2A Reinforcement learning I

3:15 PM - 4:45 PM

7 Events in this session

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning

Yuhao Wu ⋅ Yushi Bai ⋅ Zhiqiang Hu ⋅ Roy Ka-Wei Lee ⋅ Juanzi Li

EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning

Dingdong WANG ⋅ Shujie LIU ⋅ Tianhua Zhang ⋅ Youjun Chen ⋅ Jinyu Li ⋅ Helen Meng

Token-Importance Guided Direct Preference Optimization

Ning Yang ⋅ Hai Lin ⋅ Yibo Liu ⋅ Baoliang Tian ⋅ Guoqing Liu ⋅ Haijun Zhang

P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling

Pinyi Zhang ⋅ Ting-En Lin ⋅ Yuchuan Wu ⋅ Jingyang Chen ⋅ Zongqi Wang ⋅ Hua Yang ⋅ Bing Zhao ⋅ Fei Huang ⋅ Yongbin Li ⋅ Kai Zhang

Reasoning with Sampling: Your Base Model is Smarter Than You Think

Aayush Karan ⋅ Yilun Du

LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts

Siyuan Wang ⋅ Gaokai Zhang ⋅ Li Lyna Zhang ⋅ Ning Shang ⋅ Fan Yang ⋅ Dongyao Chen ⋅ Mao Yang

Q-RAG: Long Context Multi‑Step Retrieval via Value‑Based Embedder Training

Artyom Sorokin ⋅ Nazar Buzun ⋅ Aleksandr Anokhin ⋅ Egor VEDERNIKOV ⋅ Petr Anokhin ⋅ Mikhail Burtsev ⋅ Evgeny Burnaev

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Oral

Oral Session 2B Bridging theory and practice

3:15 PM - 4:45 PM

7 Events in this session

High-dimensional Analysis of Synthetic Data Selection

Parham Rezaei ⋅ Filip Kovačević ⋅ Francesco Locatello ⋅ Marco Mondelli

How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability

Shawn Im ⋅ Changdae Oh ⋅ Zhen Fang ⋅ Sharon Li

Sequences of Logits Reveal the Low Rank Structure of Language Models

Noah Golowich ⋅ Allen Liu ⋅ Abhishek Shetty

Intrinsic Entropy of Context Length Scaling in LLMs

Jingzhe Shi ⋅ Qinwei (Martin) Ma ⋅ Hongyi Liu ⋅ Hang Zhao ⋅ Jenq-Neng Hwang ⋅ Lei Li

From Markov to Laplace: How Mamba In-Context Learns Markov Chains

Marco Bondaschi ⋅ Nived Rajaraman ⋅ Xiuying Wei ⋅ Razvan Pascanu ⋅ Caglar Gulcehre ⋅ Michael Gastpar ⋅ Ashok Makkuva

The Coverage Principle: How Pre-Training Enables Post-Training

Fan Chen ⋅ Audrey Huang ⋅ Noah Golowich ⋅ Sadhika Malladi ⋅ Adam Block ⋅ Jordan Ash ⋅ Akshay Krishnamurthy ⋅ Dylan Foster

Quantitative Bounds for Length Generalization in Transformers

Zachary Izzo ⋅ Eshaan Nichani ⋅ Jason Lee

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Oral

Oral Session 2C Vision language models I

3:15 PM - 4:45 PM

7 Events in this session

Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment

Shijie Zhao ⋅ Xuanyu Zhang ⋅ Weiqi Li ⋅ Junlin Li ⋅ Li zhang ⋅ Tianfan Xue ⋅ Jian Zhang

Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning

Hao Tan ⋅ jun lan ⋅ Zichang Tan ⋅ Senyuan Shi ⋅ Ajian Liu ⋅ Chuanbiao Song ⋅ Huijia Zhu ⋅ Weiqiang Wang ⋅ Jun Wan ⋅ Zhen Lei

On the Generalization Capacities of MLLMs for Spatial Intelligence

Gongjie Zhang ⋅ Wenhao Li ⋅ Quanhao Qian ⋅ Jiuniu Wang ⋅ Deli Zhao ⋅ Shijian Lu ⋅ Ran Xu

DepthLM: Metric Depth from Vision Language Models

zhipeng cai ⋅ Ching-Feng Yeh ⋅ Hu Xu ⋅ Zhuang Liu ⋅ Gregory P. Meyer ⋅ Xinjie Lei ⋅ Changsheng Zhao ⋅ Shang-Wen Li ⋅ Vikas Chandra ⋅ Yangyang Shi

FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging

Ziyang Fan ⋅ Keyu Chen ⋅ Ruilong Xing ⋅ Yulin Li ⋅ Li Jiang ⋅ Zhuotao Tian

Multimodal Aligned Semantic Knowledge for Unpaired Image-text Matching

Laiguo Yin ⋅ Yixin Zhang ⋅ YUQING SUN ⋅ Lizhen Cui

Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction–Reasoning Synergy

Haijier Chen ⋅ Bo Xu ⋅ Shoujian zhang ⋅ Haoze Liu ⋅ Jiaxuan Lin ⋅ Jingrong Wang

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Oral

Oral Session 2D LLMs and Evaluation

3:15 PM - 4:45 PM

7 Events in this session

Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts

Zhaomin Wu ⋅ Mingzhe Du ⋅ See-Kiong Ng ⋅ Bingsheng He

Is it Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort

Xinpeng Wang ⋅ Nitish Joshi ⋅ Barbara Plank ⋅ Rico Angell ⋅ He He

LLMs Get Lost In Multi-Turn Conversation

Philippe Laban ⋅ Hiroaki Hayashi ⋅ Yingbo Zhou ⋅ Jennifer Neville

How Reliable is Language Model Micro-Benchmarking?

Gregory Yauney ⋅ Shahzaib Warraich ⋅ Swabha Swayamdipta

AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference

Jing Yao ⋅ Shitong Duan ⋅ Xiaoyuan Yi ⋅ Dongkuan Xu ⋅ Peng Zhang ⋅ Tun Lu ⋅ Ning Gu ⋅ Zhicheng Dou ⋅ Xing Xie

What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data

Rajiv Movva ⋅ Smitha Milli ⋅ Sewon Min ⋅ Emma Pierson

EigenBench: A Comparative Behavioral Measure of Value Alignment

Jonathn Chang ⋅ Leonhard Piff ⋅ Suvadip Sana ⋅ Jasmine Li ⋅ Lionel Levine

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Oral

Oral Session 2E 3D Reconstruction

3:15 PM - 4:45 PM

6 Events in this session

Generative Human Geometry Distribution

Xiangjun Tang ⋅ Biao Zhang ⋅ Peter Wonka

Depth Anything 3: Recovering the Visual Space from Any Views

Haotong Lin ⋅ Sili Chen ⋅ Jun Hao Liew ⋅ Donny Y. Chen ⋅ Zhenyu Li ⋅ Yang Zhao ⋅ Sida Peng ⋅ Hengkai Guo ⋅ Xiaowei Zhou ⋅ Guang Shi ⋅ Jiashi Feng ⋅ Bingyi Kang

Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator

Hyojun Go ⋅ Dominik Narnhofer ⋅ Goutam Bhat ⋅ Prune Truong ⋅ Federico Tombari ⋅ Konrad Schindler

Monocular Normal Estimation via Shading Sequence Estimation

Zongrui Li ⋅ Xinhua Ma ⋅ Minghui HU ⋅ Yunqing Zhao ⋅ Yingchen Yu ⋅ Qian Zheng ⋅ Chang Liu ⋅ Jiang Xudong ⋅ Song Bai

Radiometrically Consistent Gaussian Surfels for Inverse Rendering

Kyu Beom Han ⋅ Jaeyoon Kim ⋅ Woo Jae Kim ⋅ Jinhwan Seo ⋅ Sung-eui Yoon

True Self-Supervised Novel View Synthesis is Transferable

Thomas MItchel ⋅ Hyunwoo Ryu ⋅ Vincent Sitzmann

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Oral

Oral Session 2F Causality and structure

3:15 PM - 4:45 PM

7 Events in this session

Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning

Haoyue Dai ⋅ Immanuel Albrecht ⋅ Peter Spirtes ⋅ Kun Zhang

Probabilistic Kernel Function for Fast Angle Testing

Kejing Lu ⋅ Chuan Xiao ⋅ Yoshiharu Ishikawa

Differentially Private Domain Discovery

Vinod Raman ⋅ Travis Dick ⋅ Matthew Joseph

Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks

Songyao Jin ⋅ Biwei Huang

Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability

Usha Bhalla ⋅ Alex Oesterling ⋅ Claudio Mayrink Verdun ⋅ Hima Lakkaraju ⋅ Flavio Calmon

A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization

Hideaki Kim ⋅ Tomoharu Iwata

Cross-Domain Lossy Compression via Rate- and Classification-Constrained Optimal Transport

Nam Nguyen ⋅ Thinh Nguyen ⋅ Bella Bose

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Poster

Poster Session 2 Pavilion 3

3:15 PM - 5:45 PM

501 Events in this session

On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional Study

Shuai Yang ⋅ Qi Yang ⋅ Luoxi Tang ⋅ Yuqiao Meng ⋅ Nancy Guo ⋅ Jeremy Blackburn ⋅ Zhaohan Xi

Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning

Haoyue Dai ⋅ Immanuel Albrecht ⋅ Peter Spirtes ⋅ Kun Zhang

Theoretical Guarantees for Causal Discovery on Large Random Graphs

Mathieu Chevalley ⋅ Arash Mehrjou ⋅ Patrick Schwab

Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference

Qianyi Chen ⋅ Anpeng Wu ⋅ Bo Li ⋅ Lu Deng ⋅ Yong Wang

Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation

Valentyn Melnychuk ⋅ Dennis Frauen ⋅ Jonas Schweisthal ⋅ Stefan Feuerriegel

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies

Armin Kekić ⋅ Jan Schneider ⋅ Dieter Büchler ⋅ Bernhard Schölkopf ⋅ michel besserve

Stochastic Neural Networks for Causal Inference with Missing Confounders

Yaxin Fang ⋅ Faming Liang

Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies

Koichi Tanaka ⋅ Kazuki Kawamura ⋅ Takanori Muroi ⋅ Yusuke Narita ⋅ Yuki Sasamoto ⋅ Kei Tateno ⋅ Takuma Udagawa ⋅ Wei-Wei Du ⋅ Yuta Saito

Constant Degree Matrix-Driven Incomplete Multi-View Clustering via Connectivity-Structure and Embedding Tensor Learning

Zhibin Gu ⋅ Zhenhao Zhong ⋅ Xi Zhang ⋅ Bing Li

LLM Pretraining with Continuous Concepts

Jihoon Tack ⋅ Jack Lanchantin ⋅ Jane Dwivedi-Yu ⋅ Andrew Cohen ⋅ Ilia Kulikov ⋅ Janice Lan ⋅ Shibo Hao ⋅ Yuandong Tian ⋅ Jason E Weston ⋅ Xian Li

Neural Force Field: Few-shot Learning of Generalized Physical Reasoning

Shiqian Li ⋅ Ruihong Shen ⋅ Yaoyu Tao ⋅ Chi Zhang ⋅ Yixin Zhu

AutoDV: An End-to-End Deep Learning Model for High-Dimensional Data Visualization

Wei Dai ⋅ Jicong Fan

Revisiting Weight Regularization for Low-Rank Continual Learning

Yaoyue Zheng ⋅ Yin Zhang ⋅ Joost van de Weijer ⋅ Gido van de Ven ⋅ Shaoyi Du ⋅ Xuetao Zhang ⋅ Zhiqiang Tian

Weight Space Representation Learning on Diverse NeRF Architectures

Francesco Ballerini ⋅ Pierluigi Zama Ramirez ⋅ Luigi Di Stefano ⋅ Samuele Salti

Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement

Yu-Che Tsai ⋅ Kuan-Yu Chen ⋅ Yuan-Chi Li ⋅ Yuan-Hao Chen ⋅ Ching-Yu Tsai ⋅ Shou-De Lin

Toward Enhancing Representation Learning in Federated Multi-Task Settings

Mehdi Setayesh ⋅ Mahdi Beitollahi ⋅ Yasser Khalil ⋅ Hongliang Li

Subspace Kernel Learning on Tensor Sequences

Lei Wang ⋅ Xi Ding ⋅ Yongsheng Gao ⋅ Piotr Koniusz

On the Theoretical Limitations of Embedding-Based Retrieval

Orion Weller ⋅ Michael Boratko ⋅ Iftekhar Naim ⋅ Jinhyuk Lee

Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning

Heming Zou ⋅ Yunliang Zang ⋅ Wutong Xu ⋅ Xiangyang Ji

Revela: Dense Retriever Learning via Language Modeling

Fengyu Cai ⋅ Tong Chen ⋅ Xinran Zhao ⋅ Sihao Chen ⋅ Hongming Zhang ⋅ Sherry Wu ⋅ Iryna Gurevych ⋅ Heinz Koeppl

Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation

Xiangyu Wu ⋅ Dongming Jiang ⋅ Feng Yu ⋅ Yueying Tian ⋅ Jiaqi Tang ⋅ Qing-Guo Chen ⋅ Yang Yang ⋅ Jianfeng Lu

RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents

Zijing Zhang ⋅ Ziyang Chen ⋅ Mingxiao Li ⋅ Zhaopeng Tu ⋅ Xiaolong Li

TabStruct: Measuring Structural Fidelity of Tabular Data

Xiangjian Jiang ⋅ Nikola Simidjievski ⋅ Mateja Jamnik

Maximizing Incremental Information Entropy for Contrastive Learning

Jiansong Zhang ⋅ Zhuoqin Yang ⋅ Xu Wu ⋅ Xiaoling Luo ⋅ Peizhong Liu ⋅ Linlin Shen

Proper Velocity Neural Networks

Ziheng Chen ⋅ Zihan Su ⋅ Bernhard Schölkopf ⋅ Nicu Sebe

ProofBridge: Auto-Formalization of Natural Language Proofs in Lean via Joint Embeddings

Prithwish Jana ⋅ Kaan Kale ⋅ Ahmet Tanriverdi ⋅ Cruise Song ⋅ Sriram Vishwanath ⋅ Vijay Ganesh

Information Shapes Koopman Representation

Xiaoyuan Cheng ⋅ Wenxuan Yuan ⋅ Yiming Yang ⋅ Yuanzhao Zhang ⋅ Sibo Cheng ⋅ Yi He ⋅ Zhuo Sun

CORDS - Continuous Representations of Discrete Structures

Tin Hadži Veljković ⋅ Erik Bekkers ⋅ Michael Tiemann ⋅ Jan-Willem van de Meent

Closing the Modality Gap Aligns Group-Wise Semantics

Eleonora Grassucci ⋅ Giordano Cicchetti ⋅ Emanuele Frasca ⋅ Aurelio Uncini ⋅ Danilo Comminiello

On the Wasserstein Geodesic Principal Component Analysis of probability measures

Nina Vesseron ⋅ Elsa Cazelles ⋅ Alice Le Brigant ⋅ Klein Thierry

Improving Semantic Proximity in Information Retrieval through Cross-Lingual Alignment

Seongtae Hong ⋅ Youngjoon Jang ⋅ Jungseob Lee ⋅ Hyeonseok Moon ⋅ Heuiseok Lim

Multimodal Dataset Distillation via Phased Teacher Models

Shengbin Guo ⋅ Hang Zhao ⋅ Senqiao Yang ⋅ Chenyang Jiang ⋅ Yuhang Cheng ⋅ Xiangru Peng ⋅ Rui Shao ⋅ Zhuotao Tian

Separable Neural Networks: Approximation Theory, NTK Regime, and Preconditioned Gradient Descent

Yisi Luo ⋅ Deyu Meng

SuperF: Neural Implicit Fields for Multi-Image Super-Resolution

Sander R. Jyhne ⋅ Christian Igel ⋅ Morten Goodwin ⋅ Per-Arne Andersen ⋅ Serge Belongie ⋅ Nico Lang

Learning Human Habits with Rule-Guided Active Inference

Gong Zhiren ⋅ Chao Yang ⋅ Wendi Ren ⋅ Shuang Li

Tracing and Reversing Edits in LLMs

Paul Youssef ⋅ Zhixue Zhao ⋅ Christin Seifert ⋅ Jörg Schlötterer

Escaping Low-Rank Traps: Interpretable Visual Concept Learning via Implicit Vector Quantization

Shujian Gao ⋅ Yuan Wang ⋅ Chenglong Ma ⋅ Xin Gao ⋅ Jiangtao Yan ⋅ Junzhi Ning ⋅ Cheng Tang ⋅ Changkai Ji ⋅ Huihui Xu ⋅ Wei Li ⋅ Ziyan Huang ⋅ Jiashi Lin ⋅ Ming Hu ⋅ Jiyao Liu ⋅ Wenhao Tang ⋅ Ye Du ⋅ Tianbin Li ⋅ Jin Ye ⋅ Junjun He

Graphon Cross-Validation: Assessing Models on Network Data

Huimin Cheng ⋅ Yongkai Chen ⋅ Ping Ma ⋅ Wenxuan Zhong

$\boldsymbol{\partial^\infty}$-Grid: A Neural Differential Equation Solver with Differentiable Feature Grids

Navami Kairanda ⋅ Shanthika Naik ⋅ Marc Habermann ⋅ Avinash Sharma ⋅ Christian Theobalt ⋅ Vladislav Golyanik

Supporting Multimodal Intermediate Fusion with Informatic Constraint and Distribution Coherence

Yi Li ⋅ Fei Song ⋅ Changwen Zheng ⋅ Jiangmeng Li

Towards Personalized Deep Research: Benchmarks and Evaluations

Yuan Liang ⋅ Jiaxian Li ⋅ Yuqing Wang ⋅ WANG PIAOHONG ⋅ Motong Tian ⋅ Pai Liu ⋅ Shuofei Qiao ⋅ Runnan Fang ⋅ He Zhu ⋅ Ge Zhang ⋅ Minghao Liu ⋅ Yuchen Jiang ⋅ Ningyu Zhang ⋅ Wangchunshu Zhou

Spatially Informed Autoencoders for Interpretable Visual Representation Learning

Dominik Sturm ⋅ Hiba Bensalem ⋅ Ivo Sbalzarini

Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering

Akash Gupta ⋅ Amos Storkey ⋅ Mirella Lapata

Structure-Aware Graph Hypernetworks for Neural Program Synthesis

Wenhao Li ⋅ Yudong Xu ⋅ Elias Khalil ⋅ Scott Sanner

Robust Selective Activation with Randomized Temporal K-Winner-Take-All in Spiking Neural Networks for Continual Learning

Jiangrong Shen ⋅ Liang Zhao ⋅ Qi Xu ⋅ Yuqi Yang ⋅ Liangjun Chen ⋅ Gang Pan ⋅ Badong Chen

TRAC: Tensor-Train based Across-layer Compression for Parameter-Efficient Fine-Tuning

Bangguo Ye ⋅ Yuanwei Zhang ⋅ Xiaoqun Zhang

Meta-Router: Bridging Gold-standard and Preference-based Evaluations in LLM Routing

Yichi Zhang ⋅ Fangzheng Xie ⋅ Shu Yang ⋅ Chong Wu

Mapping Post-Training Forgetting in Language Models at Scale

Jackson Harmon ⋅ Andreas Hochlehnert ⋅ Matthias Bethge ⋅ Ameya Prabhu

Beyond Student: An Asymmetric Network for Neural Network Inheritance

Yiyun Zhou ⋅ Jingwei Shi ⋅ Mingjing Xu ⋅ Zhonghua Jiang ⋅ Jingyuan Chen

PAC-Bayes bounds for cumulative loss in Continual Learning

Lior Friedman ⋅ Ron Meir

AdaRank: Adaptive Rank Pruning for Enhanced Model Merging

Chanhyuk Lee ⋅ Jiho Choi ⋅ Chanryeol Lee ⋅ Donggyun Kim ⋅ Seunghoon Hong

Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer

Nilushika Udayangani Hewa Dehigahawattage ⋅ Nandakishor Desai ⋅ Marimuthu Palaniswami

Temporal Generalization: A Reality Check

Divyam Madaan ⋅ Sumit Chopra ⋅ Kyunghyun Cho

Interference-Isolated Elastic Weight Consolidation and Knowledge Calibration for Incremental Object Detection

De Cheng ⋅ Mingyue Zeng ⋅ Zhipeng Xu ⋅ Di Xu ⋅ Nannan Wang ⋅ Xinbo Gao

IDER: IDempotent Experience Replay for Reliable Continual Learning

Zhanwang Liu ⋅ Yuting Li ⋅ Haoyuan Gao ⋅ Yexin Li ⋅ Linghe Kong ⋅ Lichao Sun ⋅ Weiran Huang

Consistency-Driven Calibration and Matching for Few-Shot Class Incremental Learning

Qinzhe Wang ⋅ Zixuan Chen ⋅ Keke Huang ⋅ Xiu Su ⋅ Chunhua Yang ⋅ Chang Xu

Knowledge Distillation for Large Language Models through Residual Learning

Thinh On ⋅ Hengzhi Pei ⋅ Leonard Lausen ⋅ George Karypis

Conformalized Decision Risk Assessment

Wenbin Zhou ⋅ Agni Orfanoudaki ⋅ Shixiang Zhu

CREPE: Controlling diffusion with REPlica Exchange

Jiajun He ⋅ Paul Jeha ⋅ Peter Potaptchik ⋅ Leo Zhang ⋅ José Miguel Hernández Lobato ⋅ Yuanqi Du ⋅ Saifuddin Syed ⋅ Francisco Vargas

SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?

Michael Kirchhof ⋅ Luca Füger ⋅ Adam Golinski ⋅ Eeshan Gunesh Dhekane ⋅ Arno Blaas ⋅ Seong Joon Oh ⋅ Sinead Williamson

Learning Survival Distributions with Individually Calibrated Asymmetric Laplace Distribution

Deming Sheng ⋅ Ricardo Henao

Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems

Brendan Ross ⋅ Noël Vouitsis ⋅ Atiyeh Ashari Ghomi ⋅ Rasa Hosseinzadeh ⋅ Ji Xin ⋅ Zhaoyan Liu ⋅ Yi Sui ⋅ Shiyi Hou ⋅ Kin Kwan Leung ⋅ Gabriel Loaiza-Ganem ⋅ Jesse Cresswell

RefineStat: Efficient Exploration for Probabilistic Program Synthesis

Madhav Kanda ⋅ Shubham Dipak Ugare ⋅ Sasa Misailovic

Accelerated Parallel Tempering via Neural Transports

Leo Zhang ⋅ Peter Potaptchik ⋅ Jiajun He ⋅ Yuanqi Du ⋅ Arnaud Doucet ⋅ Francisco Vargas ⋅ Hai-Dang Dau ⋅ Saifuddin Syed

A Statistical Benchmark for Diffusion-Posterior-Sampling Algorithms

Martin Zach ⋅ Youssef Haouchat ⋅ Michael Unser

Internal Evaluation of Density-Based Clusterings with Noise

Anna Beer ⋅ Lena Krieger ⋅ Pascal Weber ⋅ Martin Ritzert ⋅ Ira Assent ⋅ Claudia Plant

Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters

Zonghang Li ⋅ Tao Li ⋅ Wenjiao Feng ⋅ Rongxing Xiao ⋅ Jianshu She ⋅ Hong Huang ⋅ Mohsen Guizani ⋅ Hongfang Yu ⋅ Qirong Ho ⋅ Wei Xiang ⋅ Xue Liu

Initialization Schemes for Kolmogorov–Arnold Networks: An Empirical Study

Spyros Rigas ⋅ Dhruv Verma ⋅ Georgios Alexandridis ⋅ Yixuan Wang

MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs

Yan Sun ⋅ Qixin ZHANG ⋅ Zhiyuan Yu ⋅ Xikun Zhang ⋅ Li Shen ⋅ Dacheng Tao

Solving the 2-norm k-hyperplane clustering problem via multi-norm formulations

Stefano Coniglio

ConRep4CO: Contrastive Representation Learning of Combinatorial Optimization Instances across Types

Ziao Guo ⋅ Yang Li ⋅ Shiyue Wang ⋅ Junchi Yan

Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling

Shuyang Jiang ⋅ Yusheng Liao ⋅ Ya Zhang ⋅ Yanfeng Wang ⋅ Yu Wang

Divide, Harmonize, Then Conquer It: Shooting Multi-Commodity Flow Problems with Multimodal Language Models

Xinyu Yuan ⋅ Yan Qiao ⋅ Zonghui Wang ⋅ Wenzhi CHEN

Harmonized Cone for Feasible and Non-conflict Directions in Training Physics-Informed Neural Networks

Dohyun Bu ⋅ Yujung Byun ⋅ JONGSEOK LEE

Deep FlexQP: Accelerated Nonlinear Programming via Deep Unfolding

Alex Oshin ⋅ Rahul Ghosh ⋅ Augustinos Saravanos ⋅ Evangelos Theodorou

Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPs

Shuangchun Gui ⋅ Suyu Liu ⋅ Xuehe Wang ⋅ Zhiguang Cao

Hyperbolic Aware Minimization: Implicit Bias for Sparsity

Tom Jacobs ⋅ Advait Gadhikar ⋅ Celia Rubio-Madrigal ⋅ Rebekka Burkholz

On the Benefits of Weight Normalization for Overparameterized Matrix Sensing

Yudong Wei ⋅ Liang Zhang ⋅ Bingcong Li ⋅ Niao He

Efficient Submodular Maximization for Sums of Concave over Modular Functions

Yang Lv ⋅ Guihao Wang ⋅ Dachuan Xu ⋅ Ruiqi Yang

The Power of Small Initialization in Noisy Low-Tubal-Rank Tensor Recovery

Zhiyu Liu ⋅ Haobo Geng ⋅ XUDONG WANG ⋅ Yandong Tang ⋅ Zhi Han ⋅ Yao Wang

A Physics-Inspired Optimizer: Velocity Regularized Adam

Pranav Vaidhyanathan ⋅ Lucas Schorling ⋅ Natalia Ares ⋅ Michael Osborne

Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits

Federico Cinus ⋅ Yuko Kuroki ⋅ Atsushi Miyauchi ⋅ Francesco Bonchi

Learning Distributions over Permutations and Rankings with Factorized Representations

Daniel Severo ⋅ Brian Karrer ⋅ Niklas Nolte

Learning Boltzmann Generators via Constrained Mass Transport

Christopher von Klitzing ⋅ Denis Blessing ⋅ Henrik Schopmans ⋅ Pascal Friederich ⋅ Gerhard Neumann

Improving the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language Models

Weiqing He ⋅ Xiang Li ⋅ Li Shen ⋅ Weijie Su ⋅ Qi Long

Symmetry-Aware Bayesian Optimization via Max Kernels

Anthony Bardou ⋅ Antoine Gonon ⋅ Aryan Ahadinia ⋅ Patrick Thiran

Improving LLM-based Global Optimization with Search Space Partitioning

Andrej Schwanke ⋅ Lyubomir Ivanov ⋅ David Salinas ⋅ Fabio Ferreira ⋅ Aaron Klein ⋅ Frank Hutter ⋅ Arber Zela

Thompson Sampling via Fine-Tuning of LLMs

Nicolas Menet ⋅ Aleksandar Terzic ⋅ Michael Hersche ⋅ Andreas Krause ⋅ Abbas Rahimi

No outlier channels but with outlier blocks

Shanwen Mao ⋅ Hao Zhang ⋅ Jiasheng Li ⋅ Haoyu Qiao ⋅ Chenxin Cai ⋅ Tingting Wu ⋅ Jie Liu

DeMo: Decoupled Momentum Optimization

Bowen Peng ⋅ Lizhang Chen ⋅ Baiyu Su ⋅ Jeffrey Quesnelle ⋅ Diederik (Durk) Kingma ⋅ Qiang Liu

DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs

Xinyu Yao ⋅ Daniel Bourgeois ⋅ Abhinav Jain ⋅ Yuxin Tang ⋅ Jiawen Yao ⋅ Zhimin Ding ⋅ Arlei Silva ⋅ Chris Jermaine

Birch SGD: A Tree Graph Framework for Local and Asynchronous SGD Methods

Alexander Tyurin ⋅ Danil Sivtsov

Non-Convex Federated Optimization under Cost-Aware Client Selection

Xiaowen Jiang ⋅ Anton Rodomanov ⋅ Sebastian Stich

A Memory-Efficient Hierarchical Algorithm for Large-scale Optimal Transport Problems

Wenzhou Xia ⋅ Ya-Nan Zhu ⋅ Jingwei Liang ⋅ Xiaoqun Zhang

Muon Outperforms Adam in Tail-End Associative Memory Learning

Shuche Wang ⋅ Fengzhuo Zhang ⋅ Jiaxiang Li ⋅ Cunxiao Du ⋅ Chao Du ⋅ Tianyu Pang ⋅ Zhuoran Yang ⋅ Mingyi Hong ⋅ Vincent Tan

MILPnet: A Multi-Scale Architecture with Geometric Feature Sequence Representations for Advancing MILP Problems

Ruobing Wang ⋅ Xin Li ⋅ Mingzhong Wang

Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM

Rongjie Zhu ⋅ Cong Zhang ⋅ Zhiguang Cao

An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems

Ni Zhang ⋅ Zhiguang Cao ⋅ Jianan Zhou ⋅ Cong Zhang ⋅ Yew-Soon Ong

Sublinear Time Quantum Algorithm for Attention Approximation

Zhao Song ⋅ Jianfei Xue ⋅ Jiahao Zhang ⋅ Lichen Zhang

Cautious Optimizers: Improving Training with One Line of Code

Kaizhao Liang ⋅ Lizhang Chen ⋅ Bo Liu ⋅ Qiang Liu

Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models

Yinglun Zhu ⋅ Jiancheng Zhang ⋅ Fuzhi Tang

STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation

Zijin Liu ⋅ Xu Geng ⋅ Wenshuai Xu ⋅ Xiang Zhao ⋅ Yan Xia ⋅ You Song

DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation

Makoto Shing ⋅ Masanori Koyama ⋅ Takuya Akiba

Whatever Remains Must Be True: Filtering Drives Reasoning in LLMs, Shaping Diversity

Germàn Kruszewski ⋅ Pierre ERBACHER ⋅ Jos Rozen ⋅ Marc Dymetman

STARK: Strategic Team of Agents for Refining Kernels

Juncheng Dong ⋅ Yang Yang ⋅ Tao Liu ⋅ Yang Wang ⋅ Feng Qi ⋅ VAHID TAROKH ⋅ Kaushik Rangadurai ⋅ Shuang Yang

Guided Speculative Inference for Efficient Test-Time Alignment of LLMs

Jonathan Geuter ⋅ Youssef Mroueh ⋅ David Alvarez-Melis

Fine-tuning Quantized Neural Networks with Zeroth-order Optimization

Sifeng SHANG ⋅ JIAYI ZHOU ⋅ Chenyu Lin ⋅ Minxian Li ⋅ Kaiyang Zhou

Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling

Yongchang Hao ⋅ Lili Mou

GoalRank: Group-Relative Optimization for a Large Ranking Model

Kaike Zhang ⋅ Xiaobei Wang ⋅ Shuchang Liu ⋅ HailanYang ⋅ Xiang Li ⋅ Lantao Hu ⋅ Han Li ⋅ Qi Cao ⋅ Fei Sun ⋅ Kun Gai

Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba

Donghyun Lee ⋅ Yuhang Li ⋅ Ruokai Yin ⋅ Shiting Xiao ⋅ Priyadarshini Panda

Differentiable JPEG-based Input Perturbation for Knowledge Distillation Amplification via Conditional Mutual Information Maximization

SIYU CHEN ⋅ Kaixiang Zheng ⋅ Ahmed Hussien Salamah ⋅ EN-HUI YANG

SCRAPL: Scattering Transform with Random Paths for Machine Learning

Christopher Mitcheltree ⋅ Vincent Lostanlen ⋅ Emmanouil Benetos ⋅ Mathieu Lagrange

Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport

Harry Amad ⋅ Mihaela van der Schaar

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs

Wonjun Kang ⋅ Kevin Galim ⋅ Seunghyuk Oh ⋅ Minjae Lee ⋅ Yuchen Zeng ⋅ Shuibai Zhang ⋅ Coleman Hooper ⋅ Yuezhou Hu ⋅ Hyung Koo ⋅ Nam Ik Cho ⋅ Kangwook Lee

Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts

Shwai He ⋅ Weilin Cai ⋅ Jiayi Huang ⋅ Ang Li

TEST-TIME SCALING IN DIFFUSION LLMS VIA HIDDEN SEMI-AUTOREGRESSIVE EXPERTS

Jihoon Lee ⋅ Hoyeon Moon ⋅ Kevin Zhai ⋅ Arun Chithanar ⋅ Anit Kumar Sahu ⋅ Soummya Kar ⋅ Chul Lee ⋅ Souradip Chakraborty ⋅ Amrit Bedi

Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models

Wen Wang ⋅ Bozhen Fang ⋅ Chenchen Jing ⋅ Yongliang Shen ⋅ Yangyi Shen ⋅ Qiuyu Wang ⋅ Hao Ouyang ⋅ Hao Chen ⋅ Chunhua Shen

MaRS: Memory-Adaptive Routing for Reliable Capacity Expansion and Knowledge Retention

Gang Yan

TD-MoE: Tensor Decomposition for MoE Models

Yuebin XU ⋅ YANHONG WANG ⋅ Xuemei Peng ⋅ Hui Zang ⋅ Minghao Chen ⋅ Pengfei Xia ⋅ Zeyi Wen

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks

Damien Teney ⋅ Liangze Jiang ⋅ Hemanth Saratchandran ⋅ Simon Lucey

SERE: Similarity-based Expert Re-routing for Efficient Batch Decoding in MoE Models

Juntong Wu ⋅ Jialiang Cheng ⋅ Fuyu Lv ⋅ Dan Ou ⋅ Li Yuan

Understanding Dataset Distillation via Spectral Filtering

Deyu Bo ⋅ Songhua Liu ⋅ Xinchao Wang

vAttention: Verified Sparse Attention via Sampling

Aditya Desai ⋅ Kumar Agrawal ⋅ Shuo Yang ⋅ Alejandro Cuadron Lafuente ⋅ Luis Gaspar Schroeder ⋅ Matei Zaharia ⋅ Joseph E Gonzalez ⋅ Ion Stoica

Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation

Yehjin Shin ⋅ Seojin Kim ⋅ Noseong Park

Free Energy Mixer

Jiecheng Lu ⋅ Shihao Yang

Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs

Ngoc Bui ⋅ Shubham Sharma ⋅ Simran Lamba ⋅ Saumitra Mishra ⋅ Rex Ying

Group Representational Position Encoding

Yifan Zhang ⋅ Zixiang Chen ⋅ Yifeng Liu ⋅ Qin Zhen ⋅ Rina Hughes ⋅ Kangping Xu ⋅ Yang Yuan ⋅ Quanquan Gu ⋅ Andrew Yao

Short Window Attention Enables Long-Term Memorization

LOIC CABANNES ⋅ Maximilian Beck ⋅ Maria Lomeli ⋅ Gergely Szilvasy ⋅ Matthijs Douze ⋅ Jade Copet ⋅ Pierre-Emmanuel Mazare ⋅ Gabriel Synnaeve ⋅ Herve Jegou

TyphoonMLA: A Mixed Naive-Absorb MLA Kernel For Shared Prefix

Ahmet Yüzügüler ⋅ Ahmet Çelik ⋅ Jiawei Zhuang ⋅ Lukas Cavigelli

Nonparametric Teaching of Attention Learners

Chen Zhang ⋅ Jianghui Wang ⋅ Bingyang Cheng ⋅ Zhongtao Chen ⋅ Wendong XU ⋅ Cong Wang ⋅ Marco Canini ⋅ Francesco Orabona ⋅ Yik-Chung WU ⋅ Ngai Wong

Transformers are Inherently Succinct

Pascal Bergsträßer ⋅ Ryan Cotterell ⋅ Anthony W. Lin

Efficient Message-Passing Transformer for Error Correcting Codes

Seong-Joon Park ⋅ Taewoo Park ⋅ Hee-Youl Kwak ⋅ Sang-Hyo Kim ⋅ Yongjune Kim ⋅ Jong-Seon No

Spectral Attention Steering for Prompt Highlighting

Waylon Li ⋅ Yuchen Niu ⋅ Yongxin Yang ⋅ Keshuang Li ⋅ Tiejun Ma ⋅ Shay B Cohen

Continuum Transformers Perform In-Context Learning by Operator Gradient Descent

Yash Patel ⋅ Abhiti Mishra ⋅ Ambuj Tewari

Transformers Learn Latent Mixture Models In-Context via Mirror Descent

Francesco D'Angelo ⋅ Nicolas Flammarion

QUEST: A robust attention formulation using query-modulated spherical attention

Hariprasath Govindarajan ⋅ Per Sidén ⋅ Jacob Roll ⋅ Fredrik Lindsten

SinkTrack: Attention Sink based Context Anchoring for Large Language Models

Xu Liu ⋅ Guikun Chen ⋅ Wenguan Wang

ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training

Feijiang Han ⋅ Xiaodong Yu ⋅ Jianheng Tang ⋅ Delip Rao ⋅ Weihua Du ⋅ Lyle Ungar

MoM: Linear Sequence Modeling with Mixture-of-Memories

Jusen Du ⋅ Weigao Sun ⋅ Disen Lan ⋅ Jiaxi Hu ⋅ Zhang Tao ⋅ Yu Cheng

Chimera: State Space Models Beyond Sequences

Aakash Lahoti · Tanya Marwah · Ratish Puduppully · Albert Gu

Setting the Record Straight on Transformer Oversmoothing

Gbètondji J-S Dovonon · Michael Bronstein · Matt J. Kusner

Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling

Tianyu Xie ⋅ Shuchen Xue ⋅ Zijin Feng ⋅ Tianyang Hu ⋅ Jiacheng Sun ⋅ Zhenguo Li ⋅ Cheng Zhang

Your VAR Model is Secretly an Efficient and Explainable Generative Classifier

Yi-Chung Chen ⋅ David Inouye ⋅ Jing Gao

Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models

Zekun Wang ⋅ Anant Gupta ⋅ Zihan Dong ⋅ Christopher MacLellan

GenCape: Structure-Inductive Generative Modeling for Category-Agnostic Pose Estimation

Jiyong Rao ⋅ Yu Wang ⋅ Shengjie Zhao

InfoBridge: Mutual Information estimation via Bridge Matching

Sergei Kholkin ⋅ Ivan Butakov ⋅ Evgeny Burnaev ⋅ Nikita Gushchin ⋅ Aleksandr Korotin

Discrete Variational Autoencoding via Policy Search

Michael Drolet ⋅ Firas Al-Hafez ⋅ Aditya Bhatt ⋅ Jan Peters ⋅ Oleg Arenz

GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models

Peter Holderrieth ⋅ Uriel Singer ⋅ Tommi Jaakkola ⋅ Ricky T. Q. Chen ⋅ Yaron Lipman ⋅ Brian Karrer

Steering MoE LLMs via Expert (De)Activation

Mohsen Fayyaz ⋅ Seyed MohammadAli Modarressi ⋅ Hanieh Deilamsalehy ⋅ Franck Dernoncourt ⋅ Ryan Rossi ⋅ Trung Bui ⋅ Hinrich Schuetze ⋅ Nanyun (Violet) Peng

SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs

Dachuan Shi ⋅ Abedelkadir Asi ⋅ Keying Li ⋅ Xiangchi Yuan ⋅ Leyan Pan ⋅ Wenke Lee ⋅ Wen Xiao

Generating Directed Graphs with Dual Attention and Asymmetric Encoding

Alba Carballo Castro ⋅ Manuel Madeira ⋅ Yiming Qin ⋅ Dorina Thanou ⋅ Pascal Frossard

Bi-Lipschitz Autoencoder With Injectivity Guarantee

Qipeng Zhan ⋅ Zhuoping Zhou ⋅ Zexuan Wang ⋅ Qi Long ⋅ Li Shen

AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal Transport

Lingkai Kong ⋅ Molei Tao ⋅ Yang Liu ⋅ Bryan Wang ⋅ Jinmiao Fu ⋅ Chien-Chih Wang ⋅ Huidong Liu

Consistent Text-to-Image Generation via Scene De-Contextualization

Song Tang ⋅ Peihao Gong ⋅ Kunyu LI ⋅ Kai Guo ⋅ Boyu Wang ⋅ Mao Ye ⋅ Jianwei Dr. Zhang ⋅ Xiatian Zhu

Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct

Haoyang Zheng ⋅ Xinyang Liu ⋅ Xiangrui Kong ⋅ Nan Jiang ⋅ Zheyuan Hu ⋅ Weijian Luo ⋅ Wei Deng ⋅ Guang Lin

Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning

Yifei Chen ⋅ Guanting Dong ⋅ Zhicheng Dou

Learn to Guide Your Diffusion Model

Alexandre Galashov ⋅ Ashwini Pokle ⋅ Arnaud Doucet ⋅ Arthur Gretton ⋅ Mauricio Delbracio ⋅ Valentin De Bortoli

DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion Models

Yinuo Ren ⋅ Wenhao Gao ⋅ Lexing Ying ⋅ Grant Rotskoff ⋅ Jiequn Han

Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders

Guangzhi Xiong ⋅ Zhenghao He ⋅ Bohan Liu ⋅ Sanchit Sinha ⋅ Aidong Zhang

Neon: Negative Extrapolation From Self-Training Improves Image Generation

sina alemohammad ⋅ Zhangyang Wang ⋅ Richard Baraniuk

On the Design of One-step Diffusion via Shortcutting Flow Paths

Haitao Lin ⋅ Peiyan Hu ⋅ Minsi Ren ⋅ Zhifeng Gao ⋅ Zhi-Ming Ma ⋅ Guolin Ke ⋅ Tailin Wu ⋅ Stan Z Li

ActivationReasoning: Logical Reasoning in Latent Activation Spaces

Lukas Helff ⋅ Ruben Härle ⋅ Wolfgang Stammer ⋅ Felix Friedrich ⋅ Manuel Brack ⋅ Antonia Wüst ⋅ Hikaru Shindo ⋅ Patrick Schramowski ⋅ Kristian Kersting

Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning

Adnan Oomerjee ⋅ Zafeirios Fountas ⋅ Haitham Bou Ammar ⋅ Jun Wang

When LLMs get significantly worse: A statistical approach to detect model degradations

Jonas Kübler ⋅ Kailash Budhathoki ⋅ Matthäus Kleindessner ⋅ Xiong Zhou ⋅ Junming Yin ⋅ Ashish Khetan ⋅ George Karypis

Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models

Bowei Chen ⋅ Sai Bi ⋅ Hao Tan ⋅ HE Zhang ⋅ Tianyuan Zhang ⋅ Zhengqi Li ⋅ Yuanjun Xiong ⋅ Jianming Zhang ⋅ Kai Zhang

AlphaFlow: Understanding and Improving MeanFlow Models

Huijie Zhang ⋅ Aliaksandr Siarohin ⋅ Willi Menapace ⋅ Michael Vasilkovsky ⋅ Sergey Tulyakov ⋅ Qing Qu ⋅ Ivan Skorokhodov

Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning

Yingzhi Xia ⋅ Setthakorn Tanomkiattikun ⋅ Liangli Zhen ⋅ ZAIWANG GU

Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets

Yuchen Yang ⋅ Wenze Lin ⋅ Enhao Huang ⋅ Zhixuan Chu ⋅ Hongbin zhou ⋅ Lan Tao ⋅ Yiming Li ⋅ Zhan Qin ⋅ Kui Ren

LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena

Qingchuan Yang ⋅ Simon Mahns ⋅ Sida Li ⋅ Anri Gu ⋅ Jibang Wu ⋅ Haifeng Xu

Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes

Fangyu Ding ⋅ Ding Ding ⋅ Sijin Chen ⋅ Kaibo Wang ⋅ Peng Xu ⋅ Zijin Feng ⋅ Haoli Bai ⋅ Kai Han ⋅ Youliang Yan ⋅ Binhang Yuan ⋅ Jiacheng Sun

LS-Merge: Merging Language Models in Latent Space

Bedionita Soro ⋅ Aoxuan Zhang ⋅ Bruno Andreis ⋅ Jaehyeong Jo ⋅ Song Chong ⋅ Sung Ju Hwang

Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers

Shikang Zheng ⋅ Guantao Chen ⋅ Qinming Zhou ⋅ Yuqi Lin ⋅ Lixuan He ⋅ Chang Zou ⋅ Peiliang Cai ⋅ Jiacheng Liu ⋅ Linfeng Zhang

InfBaGel: Human-Object-Scene Interaction Generation with Dynamic Perception and Iterative Refinement

Yude Zou ⋅ Junji Gong ⋅ Xing Gao ⋅ Zixuan Li ⋅ Tianxing Chen ⋅ Guanjie Zheng

SCOPED: Score–Curvature Out-of-distribution Proximity Evaluator for Diffusion

Brett Barkley ⋅ Preston Culbertson ⋅ David Fridovich-Keil

Scaling Laws for Diffusion Transformers

Zhengyang Liang ⋅ Hao He ⋅ Ceyuan Yang ⋅ Bo DAI

Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective

Jingyang Ou ⋅ Jiaqi Han ⋅ Minkai Xu ⋅ Shaoxuan Xu ⋅ Jianwen Xie ⋅ Stefano Ermon ⋅ Yi Wu ⋅ Chongxuan Li

GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver

Aleksandr Oganov ⋅ Ilya Bykov ⋅ Eva Neudachina ⋅ Mishan Aliev ⋅ Alexander Tolmachev ⋅ Alexander Sidorov ⋅ Zuev Aleksandr ⋅ Andrei Okhotin ⋅ Denis Rakitin ⋅ Aibek Alanov

Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-Resolution

Qifan Li ⋅ Jiale Zou ⋅ Jinhua Zhang ⋅ Wei Long ⋅ Xingyu Zhou ⋅ Shuhang Gu

GneissWeb: Preparing High Quality Data for LLMs at Scale

Hajar Emami Gohari ⋅ Swanand Kadhe ⋅ Yousaf Shah ⋅ Constantin Adam ⋅ Abdulhamid Adebayo ⋅ Praneet Adusumilli ⋅ Farhan Ahmed ⋅ Nathalie Baracaldo ⋅ Santosh Borse ⋅ Yuan-Chi Chang ⋅ Xuan-Hong Dang ⋅ Nirmit Desai ⋅ Revital Eres ⋅ Ran Iwamoto ⋅ Alexei Karve ⋅ Yan Koyfman ⋅ Wei-Han Lee ⋅ Changchang Liu ⋅ Boris Lublinsky ⋅ Takuya Ohko ⋅ Pablo Pesce ⋅ Maroun Touma ⋅ Shiqiang Wang ⋅ Shalisha Witherspooon ⋅ Herbert Woisetschläger ⋅ David Wood ⋅ Kun-Lung Wu ⋅ Issei Yoshida ⋅ Syed Zawad ⋅ Petros Zerfos ⋅ Yi Zhou ⋅ Bishwaranjan Bhattacharjee

Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference

Ben Finkelshtein ⋅ Silviu Cucerzan ⋅ Sujay Kumar Jauhar ⋅ Ryen White

ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding

Jia-Nan Li ⋅ Jian Guan ⋅ Wei Wu ⋅ Chongxuan Li

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning

Shubham Parashar ⋅ Shurui Gui ⋅ Xiner Li ⋅ Hongyi Ling ⋅ Sushil Vemuri ⋅ Blake Olson ⋅ Eric Li ⋅ Yu Zhang ⋅ James Caverlee ⋅ Dileep Kalathil ⋅ Shuiwang Ji

ConfHit: Conformal Generative Design with Oracle-Free Guarantees

Siddhartha Laghuvarapu ⋅ Ying Jin ⋅ Jimeng Sun

Discern Truth from Falsehood: Reducing Over-Refusal via Contrastive Refinement

Yuxiao Lu ⋅ Lin Xu ⋅ yang sun ⋅ Wenjun Li ⋅ Jie Shi

Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model

Pingyu Wu ⋅ Kai Zhu ⋅ Yu Liu ⋅ Longxiang Tang ⋅ Jian Yang ⋅ Yansong Peng ⋅ Wei Zhai ⋅ Yang Cao ⋅ Zheng-Jun Zha

Edit-Based Flow Matching for Temporal Point Processes

David Lüdke ⋅ Marten Lienen ⋅ Marcel Kollovieh ⋅ Stephan Günnemann

Fine-Tuning Diffusion Models via Intermediate Distribution Shaping

Gautham Anil ⋅ Shaan Ul Haque ⋅ Nithish Kannen ⋅ Dheeraj Nagaraj ⋅ Sanjay Shakkottai ⋅ Karthikeyan Shanmugam

DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies

Wei Song ⋅ Yuran Wang ⋅ Zijia Song ⋅ Yadong Li ⋅ Zenan Zhou ⋅ Long Chen ⋅ Xu Jhua ⋅ Jiaqi Wang ⋅ Kaicheng Yu

TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models

Peiran Li ⋅ Jiawei Wang ⋅ Haoran Zhang ⋅ Xiaodan Shi ⋅ Noboru Koshizuka ⋅ Chihiro Shimizu ⋅ Renhe Jiang

Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping

Zhenyu Lei ⋅ Qiong Wu ⋅ JIANXIONG DONG ⋅ Yinhan He ⋅ Emily Dodwell ⋅ Yushun Dong ⋅ Jundong Li

Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty

Mehul Damani ⋅ Isha Puri ⋅ Stewart Slocum ⋅ Idan Shenfeld ⋅ Leshem Choshen ⋅ Yoon Kim ⋅ Jacob Andreas

Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)

Nikita Kornilov ⋅ David Li ⋅ Tikhon Mavrin ⋅ Aleksei Leonov ⋅ Nikita Gushchin ⋅ Evgeny Burnaev ⋅ Iaroslav Koshelev ⋅ Aleksandr Korotin

JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation

Guillem Capellera ⋅ Luis Ferraz ⋅ Antonio Romano ⋅ Alexandre Alahi ⋅ Antonio Agudo

Flow Matching with Semidiscrete Couplings

Alireza Mousavi-Hosseini ⋅ Stephen Zhang ⋅ Michal Klein ⋅ marco cuturi

Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster

Grigory Bartosh ⋅ Teodora Pandeva ⋅ Sushrut Karmalkar ⋅ Javier Zazo

When Scores Learn Geometry: Rate Separations under the Manifold Hypothesis

Xiang Li ⋅ Zebang Shen ⋅ Ya-Ping Hsieh ⋅ Niao He

HoloPart: Generative 3D Part Amodal Segmentation

Yunhan Yang ⋅ Yuanchen Guo ⋅ Yukun Huang ⋅ Zi-Xin Zou ⋅ Zhipeng Yu ⋅ Yangguang Li ⋅ Yanpei Cao ⋅ Xihui Liu

Projected Coupled Diffusion for Test-Time Constrained Joint Generation

Hao Luan ⋅ Yi Xian Goh ⋅ See-Kiong Ng ⋅ Chun Kai Ling

AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size

Guanxi Lu ⋅ Hao Chen ⋅ Yuto Karashima ⋅ Zhican Wang ⋅ Daichi Fujiki ⋅ Hongxiang Fan

Tracing the Principles Behind Modern Diffusion Models

Chieh-Hsin Lai ⋅ Yang Song ⋅ Dongjun Kim ⋅ Yuki Mitsufuji ⋅ Stefano Ermon

Diffusion as Infinite HVAEs: Do Diffusion Models Generalize Better than Deep VAEs?

François Bertholom ⋅ Khalid Oublal

OwlEye: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection

Lecheng Zheng ⋅ Dongqi Fu ⋅ Zihao Li ⋅ Jingrui He

Low-Rank Few-Shot Node Classification by Node-Level Graph Diffusion

Yancheng Wang ⋅ Chengshuai Zhao ⋅ Dongfang Sun ⋅ huan liu ⋅ Yingzhen Yang

Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs

Emanuele Mule ⋅ Stefano Fiorini ⋅ Antonio Purificato ⋅ Federico Siciliano ⋅ Stefano Coniglio ⋅ Fabrizio Silvestri

Modality-free Graph In-context Alignment

Wei Zhuo ⋅ Siqiang Luo

WATS: Wavelet-Aware Temperature Scaling for Reliable Graph Neural Networks

Xiaoyang li ⋅ Linwei Tao ⋅ Haohui Lu ⋅ Minjing Dong ⋅ Junbin Gao ⋅ Chang Xu

HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs

Xingyue Huang ⋅ Mikhail Galkin ⋅ Michael Bronstein ⋅ Ismail I Ceylan

On Universality of Deep Equivariant Networks

Marco Pacini ⋅ Mircea Petrache ⋅ Bruno Lepri ⋅ Shubhendu Trivedi ⋅ Robin Walters

One for Two: A Unified Framework for Imbalanced Graph Classification via Dynamic Balanced Prototype

Guanjun Wang ⋅ Binwu Wang ⋅ Jiaming Ma ⋅ Zhengyang Zhou ⋅ Pengkun Wang ⋅ Xu Wang ⋅ Yang Wang

Revisting Node Affinity Prediction In Temporal Graphs

Or Feldman ⋅ Krishna Sri Ipsit Mantri ⋅ Moshe Eliasof ⋅ Chaim Baskin

Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs

Filip Rydin ⋅ Attila Lischka ⋅ Jiaming Wu ⋅ Morteza Haghir Chehreghani ⋅ Balazs Kulcsar

On the Interaction of Compressibility and Adversarial Robustness

Melih Barsbey ⋅ Antônio Ribeiro ⋅ Umut Simsekli ⋅ Tolga Birdal

GraphShield: Graph-Theoretic Modeling of Network-Level Dynamics for Robust Jailbreak Detection

Sunghee Dong ⋅ Sungwon Yi ⋅ Kangmin Bae ⋅ Jaeyoon Kim ⋅ Seongyeop Kim

When Flatness Does (Not) Guarantee Adversarial Robustness

Nils Philipp Walter ⋅ Linara Adilova ⋅ Jilles Vreeken ⋅ Michael Kamp

On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for Sets

Giannis Nikolentzos ⋅ Konstantinos Skianis

Mitigating Mismatch within Reference-based Preference Optimization

Suqin Yuan ⋅ Xingrui Yu ⋅ Jiyang Zheng ⋅ Lei Feng ⋅ Dadong Wang ⋅ Ivor Tsang ⋅ Tongliang Liu

ICYM$^2$I: The illusion of multimodal informativeness under missingness

Young Sang Choi ⋅ Vincent Jeanselme ⋅ Pierre Elias ⋅ Shalmali Joshi

Enhancing Learning with Noisy Labels via Rockafellian Relaxation

Louis Chen ⋅ Bobbie Chern ⋅ Eric Eckstrand ⋅ Amogh Mahapatra ⋅ Johannes Royset

On The Surprising Effectiveness of a Single Global Merging in Decentralized Learning

Tongtian Zhu ⋅ Tianyu Zhang ⋅ Mingze Wang ⋅ Zhanpeng Zhou ⋅ Can Wang

DAG-Math: Graph-of-Thought Guided Mathematical Reasoning in LLMs

Yuanhe Zhang ⋅ Ilja Kuzborskij ⋅ Jason Lee ⋅ Chenlei Leng ⋅ Fanghui Liu

Probability Distributions Computed by Autoregressive Transformers

Andy Yang ⋅ Anej Svete ⋅ Jiaoda Li ⋅ Anthony W. Lin ⋅ Jonathan Rawski ⋅ Ryan Cotterell ⋅ David Chiang

Never Saddle for Reparameterized Steepest Descent as Mirror Flow

Tom Jacobs ⋅ Chao Zhou ⋅ Rebekka Burkholz

Statistical Advantage of Softmax Attention: Insights from Single-Location Regression

O Duranthon ⋅ Pierre Marion ⋅ Claire Boyer ⋅ Bruno Loureiro ⋅ Lenka Zdeborova

Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws

Jinbo Wang ⋅ Binghui Li ⋅ Zhanpeng Zhou ⋅ Mingze Wang ⋅ yuxuan sun ⋅ Jiaqi Zhang ⋅ Xunliang Cai ⋅ Lei Wu

Pretrain–Test Task Alignment Governs Generalization in In-Context Learning

Mary Letey ⋅ Jacob Zavatone-Veth ⋅ Yue Lu ⋅ Cengiz Pehlevan

AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models

Apurba Prasad Padhy ⋅ Fernando Camacho ⋅ Saibal Mukhopadhyay

GenCtrl -- A Formal Controllability Toolkit for Generative Models

Emily Cheng ⋅ Carmen Amo Alonso ⋅ Federico Danieli ⋅ Arno Blaas ⋅ Luca Zappella ⋅ Pau Rodriguez ⋅ Xavier Suau

Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data

Guillaume Braun ⋅ Bruno Loureiro ⋅ Minh Ha Quang ⋅ Masaaki Imaizumi

Enabling True Global Perception in State Space Models for Visual Tasks

Jie Hui ⋅ Zhenxiang Zhang ⋅ Wenyu Mi ⋅ Jianji Wang

DNT: a Deeply Normalized Transformer that can be trained by Momentum SGD

Xianbiao Qi ⋅ Marco Chen ⋅ Wenjie Xiao ⋅ Jiaquan Ye ⋅ Yelin He ⋅ Chun-Guang Li ⋅ Zhouchen Lin

MathNet: A Global Multimodal Benchmark for Mathematical Reasoning and Retrieval

Shaden Alshammari ⋅ Kevin Wen ⋅ Abrar Zainal ⋅ Mark Hamilton ⋅ Navid Safaei ⋅ Albarakati ⋅ William Freeman ⋅ Antonio Torralba

LSA: Layer-wise Sparsity Allocation for Large Language Model Pruning Based on Minimal Linear Reconstruction Error

Zhiguo Yang ⋅ Changjian Deng ⋅ Qinke Chen ⋅ Zijing Zhou ⋅ Jian Cheng

ConvT3: Structured State Kernels for Convolutional State Space Models

Jaeyoung Hong ⋅ YunYoung Choi ⋅ Joohwan Ko ⋅ Minseon Gwak

MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use

Zijian Wu ⋅ Xiangyan Liu ⋅ xinyuan zhang ⋅ Lingjun Chen ⋅ Fanqing Meng ⋅ Lingxiao Du ⋅ Yiran Zhao ⋅ Fanshi Zhang ⋅ Yaoqi Ye ⋅ Jiawei Wang ⋅ Zirui Wang ⋅ Jinjie Ni ⋅ Yufan Yang ⋅ Arvin Xu ⋅ Michael Qizhe Shieh

HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks

Adnan El Assadi ⋅ Isaac Chung ⋅ Roman Solomatin ⋅ Niklas Muennighoff ⋅ Kenneth Enevoldsen

The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs

Zichen Wen ⋅ Jiashu Qu ⋅ Zhaorun Chen ⋅ Xiaoya Lu ⋅ Dongrui Liu ⋅ Zhiyuan Liu ⋅ Ruixi Wu ⋅ Yicun Yang ⋅ Xiangqi Jin ⋅ Haoyun Xu ⋅ Xuyang Liu ⋅ Weijia Li ⋅ Chaochao Lu ⋅ Jing Shao ⋅ Conghui He ⋅ Linfeng Zhang

Bayesian Evidence-Driven Prototype Evolution for Federated Domain Adaptation

Xiaoyang Yi ⋅ Li Peng ⋅ Yuru Bao ⋅ Jian Zhang

Gistify: Codebase-Level Understanding via Runtime Execution

Hyunji Lee ⋅ Minseon Kim ⋅ Chinmay Singh ⋅ Matheus Pereira ⋅ Atharv Sonwane ⋅ Isadora White ⋅ Elias Stengel-Eskin ⋅ Mohit Bansal ⋅ Zhengxiang Shi ⋅ Alessandro Sordoni ⋅ Marc-Alexandre Cote ⋅ Eric Yuan ⋅ Lucas Caccia

Do We Really Need Permutations? Impact of Model Width on Linear Mode Connectivity

Akira Ito ⋅ Masanori Yamada ⋅ Daiki Chijiwa ⋅ Atsutoshi Kumagai

Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning

Haonan Wang ⋅ Chao Du ⋅ Kenji Kawaguchi ⋅ Tianyu Pang

Decomposition of Concept-Level Rules in Visual Scenes

Fan Shi ⋅ Yuxuan Liang ⋅ Xiaolei Chen ⋅ Haiyang Yu ⋅ Xu Li ⋅ Yi Zheng ⋅ Rui Zhu ⋅ Xiangyang Xue ⋅ Bin Li

Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors

Mark Rofin ⋅ Jalal Naghiyev ⋅ Michael Hahn

Dynamic Chunking for End-to-End Hierarchical Sequence Modeling

Sukjun Hwang ⋅ Brandon Wang ⋅ Albert Gu

Aligning Deep Implicit Preferences by Learning to Reason Defensively

Peiming Li ⋅ Zhiyuan Hu ⋅ Shiyu Li ⋅ Xi Chen ⋅ Yang Tang

Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning

Ziwen Liu ⋅ Huawei Lin ⋅ Yide Ran ⋅ Denghui Zhang ⋅ Jianwen Xie ⋅ Chuan Li ⋅ Weijie Zhao ⋅ Zhaozhuo Xu

QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models

Hyesung Jeon ⋅ Seojune Lee ⋅ Beomseok Kang ⋅ Yulhwa Kim ⋅ jae-joon kim

Prune-then-Quantize or Quantize-then-Prune? Understanding the Impact of Compression Order in Joint Model Compression

Minjun Kim ⋅ Jaehyeon Choi ⋅ Hyunwoo Yang ⋅ Jongjin Kim ⋅ Jinho Song ⋅ U Kang

TileLang: Bridge Programmability and Performance in Modern Neural Kernels

Lei Wang ⋅ Yu Cheng ⋅ Yining Shi ⋅ Zhiwen Mo ⋅ Zhengju Tang ⋅ Wenhao Xie ⋅ Tong Wu ⋅ Lingxiao Ma ⋅ Yuqing Xia ⋅ Jilong Xue ⋅ Fan Yang ⋅ Zhi Yang

Predicting LLM Reasoning Performance with Small Proxy Model

Woosung Koh ⋅ Juyoung Suk ⋅ Sungjun Han ⋅ Se-Young Yun ⋅ Jay Shin

Heads collapse, features stay: Why Replay needs big buffers

Giulia Lanzillotta ⋅ Damiano Meier ⋅ Thomas Hofmann

Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs

Hengwei Ye ⋅ Yuanting Guan ⋅ Yuxuan Ge ⋅ Tianying Zhu ⋅ Yijia Zhong ⋅ YiJing Zhang ⋅ Han Zhang ⋅ Yingna Wu ⋅ Zheng Tian

TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation

Junhan Kim ⋅ Yeo Jeong Park ⋅ Seungwoo Son ⋅ Chungman Lee ⋅ Ho-young Kim ⋅ Joonyoung Kim ⋅ Yongkweon Jeon

ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models

Bowen Fang ⋅ Wen Ye ⋅ YUNYUE SU ⋅ Jinghao Zhang ⋅ Qiang Liu ⋅ Yesheng Liu ⋅ Xin Sun ⋅ shu wu ⋅ Jiabing Yang ⋅ Baole Wei ⋅ Liang Wang

ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents

Manasi Sharma ⋅ Chen Bo Calvin Zhang ⋅ Chaithanya Bandi ⋅ Clinton Wang ⋅ Ankit Aich ⋅ Huy Nghiem ⋅ Tahseen Rabbani ⋅ Ye Htet ⋅ Brian Jang ⋅ Sumana Basu ⋅ Aishwarya Balwani ⋅ Denis Peskoff ⋅ Marcos Ayestaran ⋅ Sean Hendryx ⋅ Bradley Kenstler ⋅ Bing Liu

PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection

Junseo Hwang ⋅ Wonguk Cho ⋅ Taesup Kim

GRADIEND: Feature Learning within Neural Networks Exemplified through Biases

Jonathan Drechsel ⋅ Steffen Herbold

VenusX: Unlocking Fine-Grained Functional Understanding of Proteins

Yang Tan ⋅ Wenrui Gou ⋅ Bozitao Zhong ⋅ Huiqun Yu ⋅ liang hong ⋅ Bingxin Zhou

SYNC: Measuring and Advancing Synthesizability in Structure-Based Drug Design

Yunfan Liu ⋅ Lirong Wu ⋅ Zhifeng Gao ⋅ Yufei Huang ⋅ Cheng Tan ⋅ Haitao Lin ⋅ Zicheng Liu ⋅ Changxi Chi ⋅ Chang Yu ⋅ Stan Z Li

Reference-guided Policy Optimization for Molecular Optimization via LLM Reasoning

Xuan Li ⋅ (Andrew) Zhanke Zhou ⋅ Zongze Li ⋅ Jiangchao Yao ⋅ Yu Rong ⋅ Lu Zhang ⋅ Bo Han

Constrained Diffusion for Protein Design with Hard Structural Constraints

Jacob K. Christopher ⋅ Austin Seamann ⋅ Jingyi Cui ⋅ Sagar Khare ⋅ Ferdinando Fioretto

MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models

Kacper Kapusniak ⋅ Cristian Gabellini ⋅ Michael Bronstein ⋅ Prudencio Tossou ⋅ Francesco Di Giovanni

MAC-AMP: A Closed-Loop Multi-Agent Collaboration System for Multi-Objective Antimicrobial Peptide Design

Gen Zhou ⋅ Sugitha Janarthanan ⋅ Lianghong Chen ⋅ Pingzhao Hu

ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics

Luke Thompson ⋅ Davy Guan ⋅ Slade Matthews ⋅ Dai Shi ⋅ Junbin Gao ⋅ Andi Han

GeomMotif: A Benchmark for Arbitrary Geometric Preservation in Protein Generation

Pavel Strashnov ⋅ Andrey Shevtsov ⋅ Viacheslav Meshchaninov ⋅ Olga Kardymon ⋅ Dmitry P. Vetrov

To Augment or Not to Augment? Diagnosing Distributional Symmetry Breaking

Hannah Lawrence ⋅ Elyssa Hofgard ⋅ Vasco Portilheiro ⋅ Yuxuan Chen ⋅ Tess Smidt ⋅ Robin Walters

Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles

Zhanghan Ni ⋅ Yanjing Li ⋅ Zeju Qiu ⋅ Bernhard Schölkopf ⋅ Hongyu Guo ⋅ Weiyang Liu ⋅ Shengchao Liu

GAGA: Gaussianity-Aware Gaussian Approximation for Efficient 3D Molecular Generation

Jingxiang Qu ⋅ Wenhan Gao ⋅ Ruichen Xu ⋅ Yi Liu

Learning from the Electronic Structure of Molecules across the Periodic Table

Manasa Kaniselvan ⋅ Benjamin Miller ⋅ Meng Gao ⋅ Juno Nam ⋅ Daniel Levine

Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design

Xingyu Su ⋅ Xiner Li ⋅ Masatoshi Uehara ⋅ Sunwoo Kim ⋅ Yulai Zhao ⋅ Gabriele Scalia ⋅ Ehsan Hajiramezanali ⋅ Tommaso Biancalani ⋅ Degui Zhi ⋅ Shuiwang Ji

Drugging the Undruggable: Benchmarking and Modeling Fragment-Based Screening

Haichuan Tan ⋅ Bowen Gao ⋅ Jiaxin Li ⋅ Yinjun Jia ⋅ Wenyu Zhu ⋅ Wenxuan Xie ⋅ Yihong Liu ⋅ Yanwen Huang ⋅ Jianhui Wang ⋅ Yuanhuan Mo ⋅ Ya-Qin Zhang ⋅ Wei-Ying Ma ⋅ Yanyan Lan

BioMD: All-atom Generative Model for Biomolecular Dynamics Simulation

Bin Feng ⋅ Jiying Zhang ⋅ Xinni Zhang ⋅ Zijing Liu ⋅ Yu Li

Beyond Ensembles: Simulating All-Atom Protein Dynamics in a Learned Latent Space

Aditya Sengar ⋅ Jiying Zhang ⋅ Pierre Vandergheynst ⋅ PATRICK BARTH

MatRIS: Toward Reliable and Efficient Pretrained Machine Learning Interatomic Potentials

Yuanchang Zhou ⋅ Siyu Hu ⋅ Xiangyu Zhang ⋅ Hongyu Wang ⋅ Guangming Tan ⋅ Weile Jia

Enhancing Diffusion-Based Sampling with Molecular Collective Variables

Juno Nam ⋅ Bálint Máté ⋅ Artur Toshev ⋅ Manasa Kaniselvan ⋅ Rafael Gomez-Bombarelli ⋅ Ricky T. Q. Chen ⋅ Brandon Wood ⋅ Guan-Horng Liu ⋅ Benjamin Miller

Orbital Transformers for Predicting Wavefunctions in Time-Dependent Density Functional Theory

Xuan Zhang ⋅ Haiyang Yu ⋅ Chengdong Wang ⋅ Jacob Helwig ⋅ Shuiwang Ji ⋅ Xiaofeng Qian

Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling

Fang Wu · Stan Z. Li

LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers

Yingheng Wang · Zichen Wang · Gil Sadeh · Luca Zancato · Alessandro Achille · George Karypis · Huzefa Rangwala

Extreme Weather Nowcasting via Local Precipitation Pattern Prediction

Changhoon Song ⋅ Teng-Yuan Chang ⋅ Youngjoon Hong

GeoFAR: Geography-Informed Frequency-Aware Super-Resolution for Climate Data

Chang Xu ⋅ Gencer Sumbul ⋅ Li Mi ⋅ Robin Zbinden ⋅ Devis Tuia

Glance and Focus Reinforcement for Pan-cancer Screening

Linshan Wu ⋅ Jia-Xin Zhuang ⋅ Hao CHEN

OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis

Tianwei Lin ⋅ Zhongwei Qiu ⋅ Wenqiao Zhang ⋅ Jiang Liu ⋅ Yihan Xie ⋅ Mingjian Gao ⋅ Zhenxuan Fan ⋅ Zhaocheng Li ⋅ Sijing Li ⋅ Zhongle Xie ⋅ Peng LU ⋅ Yueting Zhuang ⋅ Ling Zhang ⋅ Beng Chin Ooi ⋅ Yingda Xia

A Resolution-Agnostic Geometric Transformer for Chromosome Modeling Using Inertial Frame

Yize Zhou ⋅ Haorui Li ⋅ Shengchao Liu

CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework

Yuexi Du ⋅ Jinglu Wang ⋅ Shujie LIU ⋅ Nicha C Dvornek ⋅ Yan Lu

BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change

Manuela González-González ⋅ Soufiane Belharbi ⋅ Muhammad Zeeshan ⋅ Masoumeh Sharafi ⋅ Muhammad Haseeb Aslam ⋅ Marco Pedersoli ⋅ Alessandro Lameiras Koerich ⋅ Simon L Bacon ⋅ Eric Granger

AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs

Xiang Feng ⋅ Wentao Jiang ⋅ Zengmao Wang ⋅ Yong Luo ⋅ Pingbo Xu ⋅ Baosheng Yu ⋅ Hua Jin ⋅ Jing Zhang

Improving 2D Diffusion Models for 3D Medical Imaging with Inter‑Slice Consistent Stochasticity

Chenhe Du ⋅ Qing Wu ⋅ Xuanyu Tian ⋅ Jingyi Yu ⋅ Hongjiang Wei ⋅ Yuyao Zhang

CARL: Preserving Causal Structure in Representation Learning

Yulong Li ⋅ Xiwei Liu ⋅ Barrett Tang ⋅ Zhixiang Lu ⋅ Ming Hu ⋅ Yichen Li ⋅ Haochen Xue ⋅ Peixin Guo ⋅ Jionglong Su ⋅ Yutong Xie ⋅ Eran Segal ⋅ Imran Razzak

Can SAEs reveal and mitigate racial biases of LLMs in healthcare?

Hiba Ahsan ⋅ Byron Wallace

Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning

David Bani-Harouni ⋅ Chantal Pellegrini ⋅ Ege Özsoy ⋅ Nassir Navab ⋅ Matthias Keicher

Learning Self-Critiquing Mechanisms for Region-Guided Chest X-Ray Report Generation

Sixing Yan ⋅ Ziao Wang ⋅ Kejing Yin ⋅ William Kwok-wai Cheung ⋅ Ka Chun Cheung ⋅ Simon See

From atom to space: A region-based readout function for spatial properties of materials

Jiawen Zou ⋅ Weimin Tan ⋅ Zhongyao Wang ⋅ Hao Qi ⋅ Bo Yan

Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems

Jan Tauberschmidt ⋅ Sophie Fellenz ⋅ Sebastian Vollmer ⋅ Andrew Duncan

From Cheap Geometry to Expensive Physics: A Physics-agnostic Pretraining Framework for Neural Operators

Zhizhou Zhang ⋅ Youjia Wu ⋅ Kaixuan Zhang ⋅ Yanjia Wang

The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators

Mansi Sakarvadia ⋅ Kareem Hegazy ⋅ Amin Totounferoush ⋅ Kyle Chard ⋅ Yaoqing Yang ⋅ Ian Foster ⋅ Michael W Mahoney

Bayesian Parameter Shift Rules in Variational Quantum Eigensolvers

Samuele Pedrielli ⋅ Christopher J. Anders ⋅ Lena Funcke ⋅ Karl Jansen ⋅ Kim A. Nicoli ⋅ Shinichi Nakajima

HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals

Xianquan Yan ⋅ Hakan Akgün ⋅ Kenji Kawaguchi ⋅ Duane Loh ⋅ Ching Lee

Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials

Shi Yin ⋅ Zujian Dai ⋅ Xinyang Pan ⋅ Lixin He

The Tutor-Pupil Augmentation: Enhancing Learning and Interpretability via Input Corrections

Darya Biparva ⋅ Maarten Schoukens ⋅ Donatello Materassi

Deep Learning for Subspace Regression

Vladimir Fanaskov ⋅ Vladislav Trifonov ⋅ Alexander Rudikov ⋅ Ekaterina Muravleva ⋅ Ivan Oseledets

OrthoSolver: A Neural Proper Orthogonal Decomposition Solver For PDEs

Ying Pang ⋅ Jingyuan Wang ⋅ Jiahao Ji ⋅ Fanhao Mu

CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics

Weida Wang ⋅ Dongchen Huang ⋅ Jiatong LI ⋅ Tengchao Yang ⋅ Ziyang Zheng ⋅ Chuyi Peng ⋅ Di Zhang ⋅ Dong Han ⋅ Benteng Chen ⋅ Binzhao Luo ⋅ Zhiyu Liu ⋅ kunling liu ⋅ Zhiyuan Gao ⋅ Shiqigeng geng ⋅ Wei Ma ⋅ Jiaming Su ⋅ Xin Li ⋅ Shuchen Pu ⋅ Yuhan Shui ⋅ Qianjia Cheng ⋅ Zhihao Dou ⋅ Dongfei Cui ⋅ Changyong He ⋅ Jin Zeng ⋅ Zeke Xie ⋅ Mao Su ⋅ Dongzhan Zhou ⋅ Yuqiang Li ⋅ Wanli Ouyang ⋅ Yunqi Cai ⋅ Xi Dai ⋅ Shufei Zhang ⋅ LEI BAI ⋅ Jinguang Cheng ⋅ Zhong Fang ⋅ Hongming Weng

ProRe: A Proactive Reward System for GUI Agents via Reasoner–Actor Collaboration

Gaole Dai ⋅ Shiqi Jiang ⋅ Ting Cao ⋅ Yuqing Yang ⋅ Yuanchun Li ⋅ Rui Tan ⋅ Mo Li ⋅ Lili Qiu

Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting

Asher Hancock ⋅ Xindi Wu ⋅ Lihan Zha ⋅ Olga Russakovsky ⋅ Anirudha Majumdar

AnyTouch 2: General Optical Tactile Representation Learning For Dynamic Tactile Perception

Ruoxuan Feng ⋅ Yuxuan Zhou ⋅ Siyu Mei ⋅ Dongzhan Zhou ⋅ Pengwei Wang ⋅ Shaowei Cui ⋅ Bin Fang ⋅ Guocai Yao ⋅ Di Hu

Contractive Diffusion Policies

Amin Soleimani Abyaneh ⋅ Charlotte Morissette ⋅ Mohamad H. Danesh ⋅ Anas Houssaini ⋅ David Meger ⋅ Gregory Dudek ⋅ Hsiu-Chin Lin

CitySeeker: How Do VLMs Explore Embodied Urban Navigation with Implicit Human Needs?

Siqi Wang ⋅ Chao Liang ⋅ Yunfan Gao ⋅ Erxin Yu ⋅ Sen Li ⋅ Jing Li ⋅ Haofen Wang

VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic Manipulation

Huayi Zhou ⋅ Kui Jia

SpikePingpong: Spike Vision-based Fast-Slow Pingpong Robot System

Hao Wang ⋅ Chengkai Hou ⋅ Xianglong Li ⋅ Yankai Fu ⋅ Chenxuan Li ⋅ Ning Chen ⋅ Gaole Dai ⋅ Jiaming Liu ⋅ Tiejun Huang ⋅ Shanghang Zhang

Block-wise Adaptive Caching for Accelerating Diffusion Policy

Kangye Ji ⋅ Yuan Meng ⋅ Hanyun Cui ⋅ Ye Li ⋅ Jianbo Zhou ⋅ Shengjia Hua ⋅ Lei Chen ⋅ Zhi Wang

Verifier-free Test-Time Sampling for Vision-Language-Action Models

Suhyeok Jang ⋅ Dongyoung Kim ⋅ Changyeon Kim ⋅ Youngsuk Kim ⋅ Jinwoo Shin

Lifelong Embodied Navigation Learning

XUDONG WANG ⋅ Jiahua Dong ⋅ Baichen Liu ⋅ Qi Lyu ⋅ Lianqing Liu ⋅ Zhi Han

RoboInter: A Holistic Intermediate Representation Suite Towards Robotic Manipulation

Hao Li ⋅ ziqin wang ⋅ Zi-han Ding ⋅ Shuai Yang ⋅ Yilun Chen ⋅ Yang Tian ⋅ Xiaolin Hu ⋅ Tai Wang ⋅ Dahua Lin ⋅ Feng Zhao ⋅ Si Liu ⋅ Jiangmiao Pang

OpenFly: A COMPREHENSIVE PLATFORM FOR AERIAL VISION-LANGUAGE NAVIGATION

Yunpeng Gao ⋅ Chenhui Li ⋅ Zhongrui You ⋅ Junli Liu ⋅ Li Zhen ⋅ Pengan CHEN ⋅ Qizhi Chen ⋅ Zhonghan Tang ⋅ Liansheng Wang ⋅ Yangpenghui ⋅ Yiwen Tang ⋅ Yuhang Tang ⋅ Shuai Liang ⋅ Songyi Zhu ⋅ Ziqin Xiong ⋅ Yifei Su ⋅ Xinyi Ye ⋅ Jianan Li ⋅ Yan Ding ⋅ Dong Wang ⋅ Zhigang Wang ⋅ Bin Zhao ⋅ Xuelong Li

Test-Time Mixture of World Models for Embodied Agents in Dynamic Environments

Jinwoo Jang ⋅ Minjong Yoo ⋅ Sihyung Yoon ⋅ Honguk Woo

Masked Generative Policy for Robotic Control

Lipeng Zhuang ⋅ Shiyu Fan ⋅ Florent P Audonnet ⋅ Yingdong Ru ⋅ Edmond S. L. Ho ⋅ Gerardo Aragon-Camarasa ⋅ Paul Henderson

Hybrid Training for Vision-Language-Action Models

Pietro Mazzaglia ⋅ Cansu Sancaktar ⋅ Markus Peschl ⋅ Daniel Dijkman

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model

Jiaming Liu ⋅ Hao Chen ⋅ Zhuoyang Liu ⋅ Pengju An ⋅ Renrui Zhang ⋅ Chenyang Gu ⋅ Xiaoqi Li ⋅ Ziyu Guo ⋅ Sixiang Chen ⋅ Mengzhen Liu ⋅ Chengkai Hou ⋅ Mengdi Zhao ⋅ KC Zhou ⋅ Pheng-Ann Heng ⋅ Shanghang Zhang

MetaVLA: Unified Meta Co-Training for Efficient Embodied Adaptation

Chen Li ⋅ Zhantao Yang ⋅ Han Zhang ⋅ Fangyi Chen ⋅ Chenchen Zhu ⋅ Anudeepsekhar Bolimera ⋅ Marios Savvides

DataMIL: Selecting Data for Robot Imitation Learning with Datamodels

Shivin Dass ⋅ Alaa Khaddaj ⋅ Logan Engstrom ⋅ Aleksander Madry ⋅ Andrew Ilyas ⋅ Roberto Martín-Martín

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

D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous Grasping

Haozhe Lou ⋅ Mingtong Zhang ⋅ Haoran Geng ⋅ Hanyang Zhou ⋅ Sicheng He ⋅ Zhiyuan Gao ⋅ Siheng Zhao ⋅ Jiageng Mao ⋅ Pieter Abbeel ⋅ Jitendra Malik ⋅ Daniel Seita ⋅ Yue Wang

Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction

Shilong Tao ⋅ Zhe Feng ⋅ Shaohan Chen ⋅ Weichen Zhang ⋅ Zhanxing Zhu ⋅ Yunhuai Liu

Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization

Charalampos Shimillas ⋅ Kleanthis Malialis ⋅ Konstantinos Fokianos ⋅ Marios Polycarpou

Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring

Changhun Kim ⋅ Yechan Mun ⋅ Hyeongwon Jang ⋅ Eunseo Lee ⋅ Sangchul Hahn ⋅ Eunho Yang

CRONOS: Continuous time reconstruction for 4D medical longitudinal series

Nico Disch ⋅ Saikat Roy ⋅ Constantin Ulrich ⋅ Yannick Kirchhoff ⋅ Maximilian Rokuss ⋅ Robin Peretzke ⋅ David Zimmerer ⋅ Klaus Maier-Hein

CTBench: Cryptocurrency Time Series Generation Benchmark

Yihao Ang ⋅ Qiang Wang ⋅ Qiang Huang ⋅ Yifan Bao ⋅ Xinyu Xi ⋅ Anthony Tung ⋅ Chen Jin ⋅ Zhiyong Huang

MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss

Yunhao Zhang ⋅ Wenyao Hu ⋅ Jiale Zheng ⋅ Lujia Pan ⋅ Junchi Yan

COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting

Jeonghwan Im ⋅ Hyuk-Yoon Kwon

STORM: Synergistic Cross-Scale Spatio-Temporal Modeling for Weather Forecasting

Qihe Huang ⋅ Zhengyang Zhou ⋅ Yangze Li ⋅ Jiaming Ma ⋅ Kuo Yang ⋅ Binwu Wang ⋅ Xu Wang ⋅ Yang Wang

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow

Jufang Duan ⋅ Shenglong Xiao ⋅ Yuren Zhang

ICDiffAD: Implicit Conditioning Diffusion Model for Time Series Anomaly Detection

Fan Zhang ⋅ Sinchee Chin ⋅ Jing-Hao Xue ⋅ Wenming Yang

Semantic-Enhanced Time-Series Forecasting via Large Language Models

Hao Liu ⋅ Zhang xiaoxing ⋅ Chun Yang ⋅ Xiaobin Zhu

Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning

Yuanzhao Zhang ⋅ William Gilpin

Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate Modeling

Kun Liu ⋅ Renjun Jia ⋅ Ruifeng Yang ⋅ Xirui Zeng ⋅ Yuqi Liang ⋅ Cen Chen

CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition

Martijn Bartelds ⋅ Ananjan Nandi ⋅ Moussa Koulako Bala Doumbouya ⋅ Dan Jurafsky ⋅ Tatsunori Hashimoto ⋅ Karen Livescu

Demystifying Deep Search: A Holistic Evaluation with Hint-free Multi-Hop Questions and Factorised Metrics

Maojia Song ⋅ Liu Renhang ⋅ Xinyu Wang ⋅ Yong Jiang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Soujanya Poria ⋅ Jingren Zhou

PAMDP: Interact to Persona Alignment via a Partially Observable Markov Decision Process

ZHE YANG ⋅ Yi Huang ⋅ Si Chen ⋅ Xiaoting Wu ⋅ Jingyu Yao ⋅ Junlan Feng

PRISM: Festina Lente Proactivity—Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents

Yuxuan Fu ⋅ Xiaoyu Tan ⋅ Teqi Hao ⋅ Chen Zhan ⋅ Xihe Qiu

MoL: Adaptive Mixture-of-Length Reasoning for Efficient Question Answering with Context

Guocong Li ⋅ Jinjian Zhang ⋅ Ping Wang ⋅ Dongnan Liu ⋅ Tian Liang ⋅ Qiuyi Qi ⋅ Hao Huang ⋅ Siyan Guo ⋅ Mutian Bao ⋅ Wei Zhou ⋅ Linjian Mo ⋅ Hongxia Xu ⋅ JIAN Wu

Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation

Peter Baile Chen ⋅ Yi Zhang ⋅ Dan Roth ⋅ Samuel Madden ⋅ Jacob Andreas ⋅ Mike Cafarella

RPM: Reasoning-Level Personalization for Black-Box Large Language Models

Jieyong Kim ⋅ Tongyoung Kim ⋅ SooJin Yoon ⋅ Jaehyung Kim ⋅ Dongha Lee

Stacked from One: Multi-Scale Self-Injection for Context Window Extension

Wei Han ⋅ Pan Zhou ⋅ Shuicheng YAN

VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models

Lingjie Jiang ⋅ Shaohan Huang ⋅ xun wu ⋅ Yixia Li ⋅ Guanhua Chen ⋅ Dongdong Zhang ⋅ Furu Wei

DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations

Chao-Hong Tan ⋅ Qian Chen ⋅ Wen Wang ⋅ Chong Deng ⋅ Qinglin Zhang ⋅ Luyao Cheng ⋅ Hai Yu ⋅ Xin Zhang ⋅ Xiang Lyu ⋅ Tianyu Zhao ⋅ Chong Zhang ⋅ Yukun Ma ⋅ Yafeng Chen ⋅ Hui Wang ⋅ Jiaqing Liu ⋅ Xiangang Li ⋅ Jieping Ye

Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences

Dmitrii Korzh ⋅ Dmitrii Tarasov ⋅ Artyom Iudin ⋅ Elvir Karimov ⋅ Matvey Skripkin ⋅ Nikita Kuzmin ⋅ Andrey Kuznetsov ⋅ Oleg Rogov ⋅ Ivan Oseledets

RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems

Yuxiao Qu ⋅ Anikait Singh ⋅ Yoonho Lee ⋅ Amrith Setlur ⋅ Russ Salakhutdinov ⋅ Chelsea Finn ⋅ Aviral Kumar

FlowNIB: An Information Bottleneck Analysis of Bidirectional vs. Unidirectional Language Models

Md Kowsher ⋅ Nusrat Prottasha ⋅ Shiyun Xu ⋅ Shetu Mohanto ⋅ Niloofar Yousefi ⋅ OZLEM GARIBAY ⋅ Chen Chen

When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework

Zach Xu ⋅ Shang Zhu ⋅ Jue Wang ⋅ Junlin Wang ⋅ Ben Athiwaratkun ⋅ Chi Wang ⋅ James Y Zou ⋅ Ce Zhang

Can Speech LLMs Think while Listening?

Yi-Jen Shih ⋅ Desh Raj ⋅ Chunyang Wu ⋅ Wei Zhou ⋅ SK Bong ⋅ Yashesh Gaur ⋅ Jay Mahadeokar ⋅ Ozlem Kalinli ⋅ Mike Seltzer

Fine-tuning Done Right in Model Editing

Wanli Yang ⋅ Rui Tang ⋅ Hongyu Zang ⋅ Du Su ⋅ Qi Cao ⋅ Jingang Wang ⋅ Huawei Shen ⋅ Xueqi Cheng ⋅ Fei Sun

DirMoE: Dirichlet-Routed Mixture of Experts

Amirhossein Vahidi ⋅ Hesam Asadollahzadeh ⋅ Navid Akhavan Attar ⋅ Marie Moullet ⋅ Kevin Ly ⋅ Xingyi Yang ⋅ Mohammad Lotfollahi

MILCO: Learned Sparse Retrieval Across Languages via a Multilingual Connector

Thong Nguyen ⋅ Yibin Lei ⋅ Dylan JH Ju ⋅ Eugene Yang ⋅ Andrew Yates

Tokenisation over Bounded Alphabets is Hard

Violeta Kastreva ⋅ Philip Whittington ⋅ Dennis Komm ⋅ Tiago Pimentel

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Xinyan Guan ⋅ Jiali Zeng ⋅ Fandong Meng ⋅ Chunlei Xin ⋅ Yaojie Lu ⋅ Hongyu Lin ⋅ Xianpei Han ⋅ Le Sun ⋅ Jie Zhou

TaskCraft: Automated Generation of Agentic Tasks

Dingfeng Shi ⋅ Jingyi Cao ⋅ Qianben Chen ⋅ Weichen Sun ⋅ Weizhen Li ⋅ Hongxuan Lu ⋅ Fangchen Dong ⋅ Tianrui Qin ⋅ Zhu ⋅ Minghao Liu ⋅ Yuchen Jiang ⋅ Jian Yang ⋅ Ge Zhang ⋅ JIAHENG LIU ⋅ Changwang Zhang ⋅ Jun Wang ⋅ Wangchunshu Zhou

Learning Retrieval Models with Sparse Autoencoders

Thibault Formal ⋅ Maxime Louis ⋅ Hervé Déjean ⋅ Stéphane Clinchant

SongEcho: Towards Cover Song Generation via Instance-Adaptive Element-wise Linear Modulation

Sifei Li ⋅ Yang Li ⋅ Zizhou Wang ⋅ Yuxin Zhang ⋅ Fuzhang Wu ⋅ Oliver Deussen ⋅ Tong-Yee Lee ⋅ Weiming Dong

Group Verification-based Policy Optimization for Interactive Coding Agents

Silong Dai ⋅ Changzhi Sun ⋅ Haolun Wu ⋅ Huanran Zheng ⋅ Tao Ji ⋅ Junchi Yan ⋅ Yuanbin Wu ⋅ Dell Zhang ⋅ Xiaoling Wang ⋅ Xuelong Li

When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger

Amirabbas Afzali ⋅ Myeongho Jeon ⋅ Maria Brbic

Same Content, Different Representations: A Controlled Study for Table QA

Yue Zhang ⋅ Seiji Maekawa ⋅ Nikita Bhutani

Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions

Lu Ma ⋅ Hao Liang ⋅ Meiyi Qiang ⋅ Lexiang Tang ⋅ Xiaochen Ma ⋅ Zhen Wong ⋅ Junbo Niu ⋅ Chengyu Shen ⋅ Runming He ⋅ Yanhao Li ⋅ Wentao Zhang ⋅ Bin CUI

Process-Verified Reinforcement Learning for Theorem Proving via Lean

Minsu Kim ⋅ Se-Young Yun

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs

Yumin Choi ⋅ Dongki Kim ⋅ Jinheon Baek ⋅ Sung Ju Hwang

ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction

Xingshan Zeng ⋅ Weiwen Liu ⋅ Lingzhi Wang ⋅ Liangyou Li ⋅ Fei Mi ⋅ Yasheng Wang ⋅ Lifeng Shang ⋅ Xin Jiang ⋅ Qun Liu

XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models

Xingrui Wang ⋅ Jiang Liu ⋅ Chao Huang ⋅ Xiaodong Yu ⋅ Ze Wang ⋅ Ximeng Sun ⋅ Jialian Wu ⋅ Alan Yuille ⋅ Emad Barsoum ⋅ Zicheng Liu

Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters

Danqing Wang ⋅ Zhuorui Ye ⋅ Xinran Zhao ⋅ Fei Fang ⋅ Lei Li

Beyond the Known: An Unknown-Aware Large Language Model for Open-Set Text Classification

Xi Chen ⋅ Chuan Qin ⋅ Ziqi Wang ⋅ Shasha Hu ⋅ Chao Wang ⋅ Hengshu Zhu ⋅ Hui Xiong

MARS-Sep: Multimodal-Aligned Reinforced Sound Separation

Zihan Zhang ⋅ Xize Cheng ⋅ Zhennan Jiang ⋅ Dongjie Fu ⋅ Jingyuan Chen ⋅ Zhou Zhao ⋅ Tao Jin

Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning

Ran Xu ⋅ Jingjing Chen ⋅ Jiayu Ye ⋅ Yu Wu ⋅ Jun Yan ⋅ Carl Yang ⋅ Hongkun Yu

Token-Based Audio Inpainting via Discrete Diffusion

Tali Dror ⋅ Iftach Shoham ⋅ Moshe Buchris ⋅ Oren Gal ⋅ Haim Permuter ⋅ Gilad Katz ⋅ Eliya Nachmani

R-Zero: Self-Evolving Reasoning LLM from Zero Data

Chengsong Huang ⋅ Wenhao Yu ⋅ Xiaoyang Wang ⋅ Hongming Zhang ⋅ Zongxia Li ⋅ Ruosen Li ⋅ Jiaxin Huang ⋅ Haitao Mi ⋅ Dong Yu

TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling

Liang-Hsuan Tseng ⋅ Yi-Chang Chen ⋅ Kuan Lee ⋅ Da-shan Shiu ⋅ Hung-yi Lee

PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts

Hengzhi Li ⋅ Justin Zhang ⋅ Brendon Jiang ⋅ Alexander Naehu ⋅ Regan Song ⋅ Megan Tjandrasuwita ⋅ Chanakya Ekbote ⋅ Steven-Shine Chen ⋅ Adithya Balachandran ⋅ Wei Dai ⋅ Rebecca Chang ⋅ Paul Liang

STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models

Cheng-Han Chiang ⋅ Xiaofei Wang ⋅ Linjie Li ⋅ Chung-Ching Lin ⋅ Kevin Lin ⋅ Shujie LIU ⋅ Zhendong Wang ⋅ Zhengyuan Yang ⋅ Hung-yi Lee ⋅ Lijuan Wang

BrowseNet: Graph-Based Associative Memory for Contextual Information Retrieval

PAVAN KUMAR SANTHANA KRISHNAN ⋅ Kiran Kumar Nakka ⋅ C Reddy ⋅ Divyateja Pasupuleti ⋅ Prakhar Agarwal ⋅ Harpinder Singh ⋅ Anshu Avinash ⋅ Nirav Bhatt

UnigramLM: An Attempt at Writing The Missing Manual

Clara Meister

Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining

Sangyoon Bae ⋅ Mehdi Azabou ⋅ Blake A Richards ⋅ Jiook Cha

Modeling Others' Minds as Code

Kunal Jha ⋅ Aydan Huang ⋅ Eric Ye ⋅ Natasha Jaques ⋅ Max Kleiman-Weiner

Continuous multinomial logistic regression for neural decoding

Rupasinghe Arachchige Anuththara Rupasinghe ⋅ Jonathan Pillow

CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditions

Yuliang Zhan ⋅ li jian ⋅ Wenbing Huang ⋅ Yang Liu ⋅ Hao Sun

Otters: An Energy-Efficient Spiking Transformer via Optical Time-to-First-Spike Encoding

Zhanglu Yan ⋅ Jiayi Mao ⋅ Qianhui Liu ⋅ Fanfan Li ⋅ Tao Luo ⋅ Gang Pan ⋅ Bowen Zhu ⋅ Weng-Fai Wong

Towards Lossless Memory-efficient Training of Spiking Neural Networks via Gradient Checkpointing and Spike Compression

Yifan Huang ⋅ Wei Fang ⋅ Zecheng Hao ⋅ Zhengyu Ma ⋅ Yonghong Tian

Neural Dynamics Self-Attention for Spiking Transformers

Dehao Zhang ⋅ Fukai Guo ⋅ Shuai Wang ⋅ Jingya Wang ⋅ Jieyuan Zhang ⋅ Yimeng Shan ⋅ Malu Zhang ⋅ Yang Yang ⋅ Haizhou Li

Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading

Hadar ⋅ Omer Shubi ⋅ Yoav Meiri ⋅ Amit Heshes ⋅ Yevgeni Berzak

Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions

Jian-Qiao Zhu ⋅ Hanbo Xie ⋅ Dilip Arumugam ⋅ Robert Wilson ⋅ Thomas L. Griffiths

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction

Stéphane d'Ascoli ⋅ Jérémy Rapin ⋅ Yohann Benchetrit ⋅ Hubert Banville ⋅ Jean-Remi King

Neuro-Symbolic Decoding of Neural Activity

Yanchen Wang ⋅ Joy Hsu ⋅ Ehsan Adeli ⋅ Jiajun Wu

A Hierarchical Circuit Symbolic Discovery Framework for Efficient Logic Optimization

Yinqi Bai ⋅ Jie Wang ⋅ Tong Xialiang ⋅ Longdi Pan ⋅ Jilai Pan ⋅ Mingxuan Yuan ⋅ Jianye Hao

Training Deep Normalization-Free Spiking Neural Networks with Lateral Inhibition

Peiyu Liu ⋅ Jianhao Ding ⋅ Zhaofei Yu

Read the Room: Video Social Reasoning with Mental-Physical Causal Chains

Lixing Niu ⋅ Jiapeng Li ⋅ Xingping Yu ⋅ Xinyi Dong ⋅ Shu Wang ⋅ Ruining Feng ⋅ Bo Wu ⋅ Ping Wei ⋅ Yisen Wang ⋅ Lifeng Fan

LaVCa: LLM-assisted Visual Cortex Captioning

Takuya Matsuyama ⋅ Shinji Nishimoto ⋅ Yu Takagi

Homeostatic Adaptation of Optimal Population Codes under Metabolic Stress

Yi-Chun Hung ⋅ Gregory Schwartz ⋅ Emily Cooper ⋅ Emma Alexander

Bidirectional Predictive Coding

Gaspard Oliviers ⋅ Mufeng Tang ⋅ Rafal Bogacz

ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models

Chenyu Liu ⋅ Yuqiu Deng ⋅ Tianyu Liu ⋅ Jinan Zhou ⋅ XINLIANG ZHOU ⋅ Ziyu Jia ⋅ Yi Ding

CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement Learning

Zijie Xu ⋅ Xinyu Shi ⋅ Yiting Dong ⋅ Zihan Huang ⋅ Zhaofei Yu

SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network

Huijing Zhang ⋅ Muyang Cao ⋅ Linshan Jiang ⋅ Xin Du ⋅ Di Yu ⋅ Changze Lv ⋅ Shuiguang Deng

Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes

Bahti Zakirov ⋅ Gasper Tkacik

InputDSA: Demixing, then comparing recurrent and externally driven dynamics

Ann Huang ⋅ Mitchell Ostrow ⋅ Satpreet H Singh ⋅ Leo Kozachkov ⋅ Ila Fiete ⋅ Kanaka Rajan

MindMix: A Multimodal Foundation Model for Auditory Perception Decoding via Deep Neural-Acoustic Alignment

RUI LIU ⋅ Zhige Chen ⋅ Pengshu ⋅ Wenlong You ⋅ Zhi-An Huang ⋅ Jibin Wu ⋅ KC Tan

From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking

Gyeongwon J Kim ⋅ Alex Wilf ⋅ Louis-Philippe Morency ⋅ Daniel Fried

Agnostics: Learning to Synthesize Code in Any Programming Language with a Universal Reinforcement Learning Environment

Aleksander Boruch-Gruszecki ⋅ Yangtian Zi ⋅ Zixuan Wu ⋅ Tejas Oberoi ⋅ Carolyn Anderson ⋅ Joydeep Biswas ⋅ Arjun Guha

Virne: A Comprehensive Benchmark for RL-based Network Resource Allocation in NFV

Tianfu Wang ⋅ Liwei Deng ⋅ Xi Chen ⋅ Junyang Wang ⋅ Huiguo He ⋅ Zhengyu Hu ⋅ Wei Wu ⋅ Leilei Ding ⋅ Qilin Fan ⋅ Hui Xiong

AlphaBench: Benchmarking Large Language Models in Formulaic Alpha Factor Mining

Haochen Luo ⋅ HoTin Ko ⋅ Jiandong Chen ⋅ David Sun ⋅ Yuan Zhang ⋅ Chen Liu

Human Behavior Atlas: Benchmarking Unified Psychological And Social Behavior Understanding

Keane Ong ⋅ Wei Dai ⋅ Carol Li ⋅ Dewei Feng ⋅ Hengzhi Li ⋅ Jingyao Wu ⋅ Jiaee Cheong ⋅ Rui Mao ⋅ Gianmarco Mengaldo ⋅ Erik Cambria ⋅ Paul Liang

MobileKGQA: On-Device KGQA System on Dynamic Mobile Environments

JUNYONG AHN ⋅ Hyeongrok Han ⋅ Bong Gyun Kang ⋅ Jisoo Mok ⋅ Byunghan Lee ⋅ Sungroh Yoon

AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning

Bowen Ping ⋅ Minnan Luo ⋅ Zhuohang Dang ⋅ Chenxi Wang ⋅ Chengyou Jia

ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework

Yusong Wang ⋅ Chuang Yang ⋅ Jiawei Wang ⋅ Xiaohang Xu ⋅ Jiayi Xu ⋅ Dongyuan Li ⋅ Chuan Xiao ⋅ Renhe Jiang

AVEX: What Matters for Animal Vocalization Encoding

Marius Miron ⋅ David Robinson ⋅ Milad Alizadeh ⋅ Ellen Gilsenan-McMahon ⋅ Gagan Narula ⋅ Emmanuel Chemla ⋅ Maddie Cusimano ⋅ Felix Effenberger ⋅ Masato Hagiwara ⋅ Benjamin Hoffman ⋅ Sara Keen ⋅ Diane Kim ⋅ Jane Lawton ⋅ Jen-Yu Liu ⋅ Aza Raskin ⋅ Olivier Pietquin ⋅ Matthieu Geist

EXP-Bench: Can AI Conduct AI Research Experiments?

Patrick Tser Jern Kon ⋅ Qiuyi Ding ⋅ Jiachen Liu ⋅ Xinyi Zhu ⋅ Jingjia Peng ⋅ Jiarong Xing ⋅ Yibo Huang ⋅ Yiming Qiu ⋅ Jayanth Srinivasa ⋅ Myungjin Lee ⋅ Mosharaf Chowdhury ⋅ Matei Zaharia ⋅ Ang Chen

Go-Browse: Training Web Agents with Structured Exploration

Apurva Gandhi ⋅ Graham Neubig

SMAN-Bench: A Cross-System Benchmark for Mobile Agents under Single- and Multi-path, Ambiguous, and Noisy Tasks

Weikai Xu ⋅ Zhizheng Jiang ⋅ Yuxuan Liu ⋅ Pengzhi Gao ⋅ WEI LIU ⋅ Jian Luan ⋅ Yunxin Liu ⋅ Yuanchun Li ⋅ Bin Wang ⋅ Bo An

Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling

Beomgu Kang ⋅ Hyunseok Seo

Towards a Foundation Model for Crowdsourced Label Aggregation

Hao Liu ⋅ Jiacheng Liu ⋅ Feilong Tang ⋅ Long Chen ⋅ Jiadi Yu ⋅ Yanmin Zhu ⋅ Qiwen Dong ⋅ Yichuan Yu ⋅ Xiaofeng Hou

AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents

Jingxu Xie ⋅ Dylan Xu ⋅ Xuandong Zhao ⋅ Dawn Song

NetArena: Dynamic Benchmarks for AI Agents in Network Automation

Yajie (Lesley) Zhou ⋅ Jiajun Ruan ⋅ Eric Wang ⋅ Sadjad Fouladi ⋅ Francis Yan ⋅ Kevin Hsieh ⋅ Zaoxing Liu

Grounding Computer Use Agents on Human Demonstrations

Aarash Feizi ⋅ Shravan Nayak ⋅ Xiangru Jian ⋅ Kevin Qinghong Lin ⋅ Kaixin Li ⋅ Rabiul Awal ⋅ Xing Han Lu ⋅ Johan S Obando Ceron ⋅ Juan A. Rodriguez ⋅ Nicolas Chapados ⋅ David Vazquez ⋅ Adriana Romero-Soriano ⋅ Reihaneh Rabbany ⋅ Perouz Taslakian ⋅ Christopher Pal ⋅ Spandana Gella ⋅ Sai Rajeswar Mudumba

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization

Bin Hong ⋅ Jiayu Liu ⋅ Kai Zhang ⋅ Jianwen Sun ⋅ Mengdi Zhang ⋅ Zhenya Huang

Characterizing Deep Research: A Benchmark and Formal Definition

Abhinav Java ⋅ Ashmit Khandelwal ⋅ Sukruta Midigeshi ⋅ Aaron Halfaker ⋅ Amit Jayant Deshpande ⋅ Navin Goyal ⋅ Ankur Gupta ⋅ Nagarajan Natarajan ⋅ Amit Sharma

RAVEN: End-to-end Equivariant Robot Learning with RGB Cameras

David Klee ⋅ Boce Hu ⋅ Andrew Cole ⋅ Heng Tian ⋅ Dian Wang ⋅ Robert Platt ⋅ Robin Walters

Incorporating Expert Priors into Bayesian Optimization via Dynamic Mean Decay

Chongqi Qu ⋅ Meiqin Liu ⋅ Jian Lan ⋅ Shanling Dong ⋅ Zhunga Liu

A Noise is Worth Diffusion Guidance

Donghoon Ahn ⋅ Jiwon Kang ⋅ Sanghyun Lee ⋅ Jaewon Min ⋅ Minjae Kim ⋅ Wooseok Jang ⋅ Hyoungwon Cho ⋅ Sayak Paul ⋅ SeonHwa Kim ⋅ Eunju Cha ⋅ Kyong Jin ⋅ Seungryong Kim

Improving Diffusion Models for Class-imbalanced Training Data via Capacity Manipulation

Feng Hong ⋅ Jiangchao Yao ⋅ Yifei Shen ⋅ Dongsheng Li ⋅ Ya Zhang ⋅ Yanfeng Wang

Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards

Haoran He ⋅ Yuxiao Ye ⋅ Qingpeng Cai ⋅ Chen Hu ⋅ Binxing Jiao ⋅ Daxin Jiang ⋅ Ling Pan

Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models

Xinhao Zhong ⋅ Yimin Zhou ⋅ Zhiqi Zhang ⋅ Junhao Li ⋅ Yi Sun ⋅ Bin Chen ⋅ Shu-Tao Xia ⋅ Xuan Wang ⋅ Ke Xu

AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation

Tongfei Chen ⋅ Shuo Yang ⋅ Yuguang Yang ⋅ Linlin Yang ⋅ Runtang Guo ⋅ Changbai Li ⋅ He Long ⋅ Chunyu Xie ⋅ Dawei Leng ⋅ Baochang Zhang

Reducing Belief Deviation in Reinforcement Learning for Active Reasoning of LLM Agents

Deyu Zou ⋅ Yongqiang Chen ⋅ Jianxiang Wang ⋅ Garry YANG ⋅ Mufei Li ⋅ Qing Da ⋅ James Cheng ⋅ Pan Li ⋅ Yu Gong

Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers

Firas Gabetni ⋅ Giuseppe Curci ⋅ Andrea Pilzer ⋅ Subhankar Roy ⋅ Elisa Ricci ⋅ Gianni Franchi

MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models

Fan Zhang ⋅ Zebang Cheng ⋅ Chong Deng ⋅ Haoxuan Li ⋅ Zheng Lian ⋅ Qian Chen ⋅ Huadai Liu ⋅ Wen Wang ⋅ YiFan Zhang ⋅ Renrui Zhang ⋅ Ziyu Guo ⋅ Zhihong Zhu ⋅ Hao Wu ⋅ Haixin Wang ⋅ Yefeng Zheng ⋅ Xiaojiang Peng ⋅ Xian Wu ⋅ Kun Wang ⋅ Xiangang Li ⋅ Jieping Ye ⋅ Pheng-Ann Heng

Scaling Synthetic Task Generation for Agents via Exploration

Ram Ramrakhya ⋅ Andrew Szot ⋅ Omar Attia ⋅ Bogdan Mazoure ⋅ Anh Nguyen ⋅ Yuhao Yang ⋅ Zhe Gan ⋅ Harsh Agrawal ⋅ Alexander Toshev

An Open-Ended Benchmark and Formal Framework for Adjuvant Research with MLLM

Yi Chen ⋅ Yu Zhang ⋅ Jian Xu ⋅ Hua Yue ⋅ Xinming Wang ⋅ Zequan Lyu ⋅ Xu-yao Zhang ⋅ Wei Wei ⋅ Cheng-lin Liu

PROS: Towards Compute-Efficient RLVR via Rollout Prefix Reuse

Baizhou Huang ⋅ Xiaojun Wan

Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity

Moussa Koulako Bala Doumbouya ⋅ Dan Jurafsky ⋅ Christopher Manning

AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm

Minsang Park ⋅ Gyuwon Sim ⋅ Hyungho Na ⋅ Jiseok Kwak ⋅ Sumin Lee ⋅ Richard Kim ⋅ Donghyeok Shin ⋅ Byeonghu Na ⋅ Yeongmin Kim ⋅ Il-chul Moon

PACE: Pretrained Audio Continual Learning

Chang Li ⋅ Kanglei Zhou ⋅ Liyuan Wang

Nano3D: A Training-Free Approach for Efficient 3D Editing Without Masks

Junliang Ye ⋅ Shenghao Xie ⋅ Ruowen Zhao ⋅ Zhengyi Wang ⋅ Hongyu Yan ⋅ Wenqiang Zu ⋅ Lei Ma ⋅ Jun Zhu

Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield

Dongyang Liu ⋅ Gao Peng ⋅ David Liu ⋅ DU ⋅ Zhen Li ⋅ Qilong Wu ⋅ Xin Jin ⋅ Sihan Cao ⋅ Shifeng Zhang ⋅ Steven HOI ⋅ Hongsheng Li

PAT3D: Physics-Augmented Text-to-3D Scene Generation

Guying Lin ⋅ Kemeng Huang ⋅ Michael Liu ⋅ Ruihan Gao ⋅ Hanke Chen ⋅ Lyuhao Chen ⋅ Beijia Lu ⋅ Taku Komura ⋅ Yuan Liu ⋅ Jun-Yan Zhu ⋅ Minchen Li

MAGO: Beyond Fixed Hyperparameters with Multi-Objective Pareto Optimization for Hybrid LLM Reasoning

Hongcheng Ding ⋅ Xuanze Zhao ⋅ Ruiting Deng ⋅ Shamsul Abdullah ⋅ Deshinta Dewi ⋅ LIU QINGYU

Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Wei Liu ⋅ Ruochen Zhou ⋅ Yiyun Deng ⋅ Yuzhen Huang ⋅ Junteng LIU ⋅ Yuntian Deng ⋅ Yizhe Zhang ⋅ Junxian He

GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Tejal Patwardhan ⋅ Rachel Dias ⋅ Elizabeth Proehl ⋅ Grace Kim ⋅ Michele Wang ⋅ Olivia Watkins ⋅ Simon Fishman ⋅ Marwan Aljubeh ⋅ Phoebe Thacker ⋅ Laurance Fauconnet ⋅ Natalie Kim ⋅ Samuel Miserendino ⋅ Gildas Chabot ⋅ David Li ⋅ Patrick Chao ⋅ Michael Sharman ⋅ Alexandra Barr ⋅ Amelia Glaese ⋅ Jerry Tworek

Transformers with Endogenous In-Context Learning: Bias Characterization and Mitigation

Haotian Wang ⋅ Hao Zou ⋅ Haoxuan Li ⋅ Haoang Chi ⋅ Yang Shi ⋅ Yuanxing Zhang ⋅ Wenjing Yang ⋅ Xinwang Liu ⋅ Zhouchen Lin

Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive Hashing

Junyu Luo ⋅ Jinsheng Huang ⋅ Yang Xu ⋅ Lutong Zou ⋅ Xiao Luo ⋅ Bohan Wu ⋅ Yifan Wang ⋅ Wei Ju ⋅ Ming Zhang

Online Navigation Refinement: Achieving Lane-Level Guidance by Associating Standard-Definition and Online Perception Maps

JIAXU WAN ⋅ Xu Wang ⋅ Mengwei Xie ⋅ Xinyuan Chang ⋅ Xinran Liu ⋅ Zheng Pan ⋅ Mu Xu ⋅ Hong Zhang ⋅ Ding Yuan ⋅ Yifan Yang

Hierarchical Value-Decomposed Offline Reinforcement Learning for Whole-Body Control

Zhilong Zhang ⋅ Yunpeng Mei ⋅ Xinghao Du ⋅ Hongjie Cao ⋅ Haonan Wang ⋅ Pengyuan Min ⋅ Chenyu Wang ⋅ Pengfei Chen ⋅ Chenbo Xin ⋅ Yijie Wang ⋅ Wenyu Luo ⋅ Yihao Sun ⋅ Yidi Wang ⋅ Lei Yuan ⋅ Gang Wang ⋅ Yang Yu

DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science

Fan Shu ⋅ Yite Wang ⋅ Ruofan Wu ⋅ Boyi Liu ⋅ Zhewei Yao ⋅ Yuxiong He ⋅ Feng Yan

DeAltHDR: Learning HDR Video Reconstruction from Degraded Alternating Exposure Sequences

Shuohao Zhang ⋅ Zhilu Zhang ⋅ RongJian Xu ⋅ Xiaohe Wu ⋅ Wangmeng Zuo

PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement

Yian Wang ⋅ Han Yang ⋅ Minghao Guo ⋅ Xiaowen Qiu ⋅ Johnson (Tsun-Hsuan) Wang ⋅ Wojciech Matusik ⋅ Joshua B Tenenbaum ⋅ Chuang Gan

SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models

RUIYANG ZHANG ⋅ Dongzhan Zhou ⋅ Zhedong Zheng

Dynamic Speculative Agent Planning

Yilin Guan ⋅ Qingfeng Lan ⋅ Fei Sun ⋅ Dujian Ding ⋅ Devang Acharya ⋅ Chi Wang ⋅ William Wang ⋅ Wenyue Hua

GarmentGPT: Compositional Garment Pattern Generation via Discrete Latent Tokenization

Fangsheng Weng ⋅ Junhao Chen ⋅ Xiang Li ⋅ Jie Qin ⋅ Hanzhong Guo ⋅ ShaochunHao ⋅ Xiaoguang Han

SGD with Adaptive Preconditioning: Unified Analysis and Momentum Acceleration

Dmitry Kovalev

ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting

Xvyuan Liu ⋅ Xiangfei Qiu ⋅ Hanyin Cheng ⋅ Xingjian Wu ⋅ Guo ⋅ Bin Yang ⋅ Jilin Hu

DeLiVR: Differential Spatiotemporal Lie Bias for Efficient Video Deraining

Shuning Sun ⋅ Jialang Lu ⋅ Xiang Chen ⋅ Jichao Wang ⋅ Dianjie Lu ⋅ Guijuan Zhang ⋅ Guangwei Gao ⋅ Zhuoran Zheng

Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs

Hang Guo ⋅ Luca Benini ⋅ Yawei Li

Frequency-aware Dynamic Gaussian Splatting

Qiaowei Miao ⋅ JinSheng Quan ⋅ Kehan Li ⋅ Yichao Xu ⋅ Yi Yang ⋅ Yawei Luo

SceneCOT: Eliciting Grounded Chain-of-Thought Reasoning in 3D Scenes

Xiongkun Linghu ⋅ Jiangyong Huang ⋅ Ziyu Zhu ⋅ Baoxiong Jia ⋅ Siyuan Huang

Huxley-G\"odel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine

Wenyi Wang ⋅ Piotr Piękos ⋅ Li Nanbo ⋅ Firas Laakom ⋅ Yimeng Chen ⋅ Mateusz Ostaszewski ⋅ Mingchen Zhuge ⋅ Jürgen Schmidhuber

Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting

Yixing Lao ⋅ Xuyang BAI ⋅ Xiaoyang Wu ⋅ Nuoyuan Yan ⋅ Zixin Luo ⋅ Tian Fang ⋅ Jean-Daniel Nahmias ⋅ Yanghai Tsin ⋅ Shiwei Li ⋅ Hengshuang Zhao

No, of Course I Can! Deeper Fine-Tuning Attacks That Bypass Token-Level Safety Mechanisms

Joshua Kazdan ⋅ Abhay Puri ⋅ Rylan Schaeffer ⋅ Lisa Yu ⋅ Chris Cundy ⋅ Jason Stanley ⋅ Sanmi Koyejo ⋅ Krishnamurthy Dvijotham

NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation

Xiaokun Feng ⋅ Haiming Yu ⋅ Meiqi Wu ⋅ Shiyu Hu ⋅ Jintao Chen ⋅ Chen Zhu ⋅ Jiahong Wu ⋅ Xiangxiang Chu ⋅ Kaiqi Huang

Long-Context Generalization with Sparse Attention

Pavlo Vasylenko ⋅ Hugo Pitorro ⋅ Andre Martins ⋅ Marcos V Treviso

RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking Format

Zhehao Huang ⋅ Yuhang Liu ⋅ Baijiong Lin ⋅ Yixin Lou ⋅ Zhengbao He ⋅ Hanling Tian ⋅ Tao Li ⋅ Xiaolin Huang

SWERank: Software Issue Localization with Code Ranking

Revanth Gangi Reddy ⋅ Tarun Suresh ⋅ JaeHyeok Doo ⋅ Ye Liu ⋅ Xuan-Phi Nguyen ⋅ Yingbo Zhou ⋅ Semih Yavuz ⋅ Caiming Xiong ⋅ Heng Ji ⋅ Shafiq Joty

Let's Explore Step by Step: Generating Provable Formal Statements with Deductive Exploration

Qi Liu ⋅ Kangjie Bao ⋅ Yue Yang ⋅ Xinhao Zheng ⋅ Renqiu Xia ⋅ Qinxiang Cao ⋅ Junchi Yan

HippoTune: A Hippocampal Associative Loop–Inspired Fine-Tuning Method for Continual Learning

Yanxi Chen ⋅ Xiuxing Li ⋅ yuyang Han ⋅ Zhuo Wang ⋅ Qing Li ⋅ Ziyu Li ⋅ Xiang Li ⋅ Chen Wei ⋅ Xia Wu

Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking

Dhruv Rohatgi ⋅ Abhishek Shetty ⋅ Donya Saless ⋅ Yuchen Li ⋅ Ankur Moitra ⋅ Andrej Risteski ⋅ Dylan Foster

TP-Spikformer: Token Pruned Spiking Transformer

Wenjie Wei ⋅ Xiaolong Zhou ⋅ Malu Zhang ⋅ Ammar Belatreche ⋅ Qian Sun ⋅ Yimeng Shan ⋅ Dehao Zhang ⋅ Zijian Zhou ⋅ Zeyu Ma ⋅ Yang Yang ⋅ Haizhou Li

WorldSplat: Gaussian-Centric Feed-Forward 4D Scene Generation for Autonomous Driving

Ziyue Zhu ⋅ Zhanqian Wu ⋅ Zhenxin Zhu ⋅ Lijun Zhou ⋅ Haiyang Sun ⋅ Bing Wang ⋅ Kun Ma ⋅ Guang Chen ⋅ Hangjun Ye ⋅ Jin Xie ⋅ jian Yang

Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning

Kazuki Yano ⋅ Shun Kiyono ⋅ Sosuke Kobayashi ⋅ Sho Takase ⋅ Jun Suzuki

Intrinsic training dynamics of deep neural networks

Sibylle Marcotte ⋅ Gabriel Peyré ⋅ Rémi Gribonval

Depth Anything with Any Prior

zehan wang ⋅ Siyu Chen ⋅ Lihe Yang ⋅ Jialei Wang ⋅ Ziang Zhang ⋅ Hengshuang Zhao ⋅ Zhou Zhao

SpeechJudge: Towards Human-Level Judgment for Speech Naturalness

Xueyao Zhang ⋅ Chaoren Wang ⋅ Huan Liao ⋅ Ziniu Li ⋅ Yuancheng Wang ⋅ Li Wang ⋅ Dongya Jia ⋅ Yuanzhe Chen ⋅ Xiulin LI ⋅ Zhuo Chen ⋅ Zhizheng Wu

Distribution-informed Online Conformal Prediction

Dongjian Hu ⋅ Junxi Wu ⋅ Shu-Tao Xia ⋅ Changliang Zou

DiffTrans: Differentiable Geometry-Materials Decomposition for Reconstructing Transparent Objects

Changpu Li ⋅ Shuang Wu ⋅ Songlin Tang ⋅ Guangming Lu ⋅ Jun Yu ⋅ Wenjie Pei

ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer

Chunyuan Deng ⋅ Sanket Lokegaonkar ⋅ Colin Lockard ⋅ Besnik Fetahu ⋅ Nasser Zalmout ⋅ Xian Li

LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures

Hai Huang ⋅ Yann LeCun ⋅ Randall Balestriero

Flow Straight and Fast in Hilbert Space: Functional Rectified Flow

Jianxin Zhang ⋅ Clayton Scott

Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models

Li Sun ⋅ Zhenhao Huang ⋅ Silei Chen ⋅ Lanxu Yang ⋅ Junda Ye ⋅ Sen Su ⋅ Philip Yu

MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer

Yanghao Li ⋅ Rui Qian ⋅ Bowen Pan ⋅ Haotian Zhang ⋅ Haoshuo Huang ⋅ Bowen Zhang ⋅ Jialing Tong ⋅ Haoxuan You ⋅ Xianzhi Du ⋅ Zhe Gan ⋅ Hyunjik Kim ⋅ Chao Jia ⋅ Zhenbang Wang ⋅ Yinfei Yang ⋅ Mingfei Gao ⋅ Zi-Yi Dou ⋅ Wenze Hu ⋅ Chang Gao ⋅ Dongxu Li ⋅ Philipp Dufter ⋅ Zirui Wang ⋅ Guoli Yin ⋅ Zhengdong Zhang ⋅ Chen Chen ⋅ Yang Zhao ⋅ Ruoming Pang ⋅ Zhifeng Chen

KVComm: Enabling Efficient LLM Communication through Selective KV Sharing

Xiangyu Shi ⋅ Marco Chiesa ⋅ Gerald Q. Maguire Jr. ⋅ Dejan Kostic

DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle

Fangyu Lei ⋅ Jinxiang Meng ⋅ Yiming Huang ⋅ Junjie zhao ⋅ Yitong Zhang ⋅ Jianwen Luo ⋅ Xin Zou ⋅ Ruiyi Yang ⋅ Wenbo Shi ⋅ Yan Gao ⋅ Shizhu He ⋅ Jun Zhao ⋅ Zuo Wang ⋅ Qian Liu ⋅ YANG WANG ⋅ Ke Wang ⋅ Kang Liu

Learning to Reason for Hallucination Span Detection

Hsuan Su ⋅ Ting-Yao Hu ⋅ Hema Swetha Koppula ⋅ Kundan Krishna ⋅ Hadi Pouransari ⋅ Cheng-Yu Hsieh ⋅ Cem Koc ⋅ Joseph Cheng ⋅ Oncel Tuzel ⋅ Raviteja Vemulapalli

AlignSep: Temporally-Aligned Video-Queried Sound Separation with Flow Matching

Xize Cheng ⋅ Chenyuhao Wen ⋅ Slytherin Wang ⋅ Yongqi Wang ⋅ zehan wang ⋅ Rongjie Huang ⋅ Tao Jin ⋅ Zhou Zhao

Paper Copilot: Tracking the Evolution of Peer Review in AI Conferences

Jing Yang ⋅ Qiyao Wei ⋅ Jiaxin Pei

Learning to Recall with Transformers Beyond Orthogonal Embeddings

Mert Vural ⋅ Alberto Bietti ⋅ Mahdi Soltanolkotabi ⋅ Denny Wu

Learning-Time Encoding Shapes Unlearning in LLMs

Ruihan Wu ⋅ Konstantin Garov ⋅ Kamalika Chaudhuri

Towards Safe and Optimal Online Bidding: A Modular Look-ahead Lyapunov Framework

Hengquan Guo ⋅ Haobo Zhang ⋅ Junwei Pan ⋅ Shudong Huang ⋅ Nianhua Xie ⋅ Lei Xiao ⋅ Haijie Gu ⋅ Jie Jiang ⋅ Xin Liu

CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Vision-Language Model

Ruijiang Dong ⋅ Zesheng Ye ⋅ Jianzhong Qi ⋅ Lei Feng ⋅ Feng Liu ⋅ Gang Niu ⋅ Masashi Sugiyama

SPICE: Submodular Penalized Information–Conflict Selection for Efficient Large Language Model Training

Powei Chang ⋅ Jinpeng Zhang ⋅ Bowen Chen ⋅ Chenyu Wang ⋅ Chenlu Guo ⋅ Yixing Zhang ⋅ Yukang Gao ⋅ JianXiang Xiang ⋅ Yue Gao ⋅ Chaoqun Sun ⋅ Yiyi Chen ⋅ Dongying kong

Missingness Bias Calibration in Feature Attribution Explanations

Shailesh Sridhar ⋅ Anton Xue ⋅ Eric Wong

LaTo: Landmark-tokenized Diffusion Transformer for Fine-grained Human Face Editing

Zhenghao zhang ⋅ Ziying Zhang ⋅ Junchao Liao ⋅ Xiangyu Meng ⋅ Qiang Hu ⋅ Siyu Zhu ⋅ Xiaoyun Zhang ⋅ Long Qin ⋅ Weizhi Wang

Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems

Zherui Li ⋅ Yan Mi ⋅ Zhenhong Zhou ⋅ Houcheng Jiang ⋅ Guibin Zhang ⋅ Kun Wang ⋅ Junfeng Fang

HFSTI-Net: Hierarchical Frequency-spatial-temporal Interactions for Video Polyp Segmentation

Yuanqin He ⋅ Guilian Chen ⋅ Yuhua Zhang ⋅ Huisi Wu ⋅ Jing Qin

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

YiFan Zhang ⋅ Xingyu Lu ⋅ Xiao Hu ⋅ Chaoyou Fu ⋅ Bin Wen ⋅ Tianke Zhang ⋅ Changyi Liu ⋅ Kaiyu Jiang ⋅ Kaibing Chen ⋅ Kaiyu Tang ⋅ Haojie Ding ⋅ Jiankang Chen ⋅ Fan Yang ⋅ Zhang Zhang ⋅ Tingting Gao ⋅ Di ZHANG ⋅ Guorui Zhou ⋅ Liang Wang

Spatial Structure and Selective Text Jointly Facilitate Image Clustering

Zizheng Jiu ⋅ Feijiang Li ⋅ Jieting Wang ⋅ Yuhua Qian ⋅ Lu Chen

Distributionally Robust Cooperative Multi-agent Reinforcement Learning with Value Factorization

Chengrui (Ray) Qu ⋅ Christopher Yeh ⋅ Kishan Panaganti ⋅ Eric Mazumdar ⋅ Adam Wierman

Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning

Haiteng Zhao ⋅ Junhao Shen ⋅ Yiming Zhang ⋅ Songyang Gao ⋅ Kuikun Liu ⋅ Tianyou Ma ⋅ Fan Zheng ⋅ Dahua Lin ⋅ Wenwei Zhang ⋅ Kai Chen

Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning

Jiashun Liu ⋅ Johan S Obando Ceron ⋅ Han Lu ⋅ Yancheng He ⋅ Weixun Wang ⋅ wenbo su ⋅ Bo Zheng ⋅ Pablo Samuel Castro ⋅ Aaron Courville ⋅ Ling Pan

ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents

Jie-Jing Shao ⋅ Bo-Wen Zhang ⋅ Xiao-Wen Yang ⋅ Baizhi Chen ⋅ Siyu Han ⋅ Jinghao Pang ⋅ Wen-Da Wei ⋅ Guohao Cai ⋅ Zhenhua Dong ⋅ Lan-Zhe Guo ⋅ Yu-Feng Li

Loneliness as a Case Study for Social Reward Misalignment

Samantha Adorno ⋅ Akshata Kishore Moharir ⋅ Ratna Kandala

Information Theoretic Guarantees For Policy Alignment In Large Language Models

Youssef Mroueh · Apoorva Nitsure

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Poster

Poster Session 2 Pavilion 4

3:15 PM - 5:45 PM

437 Events in this session

Captain Cinema: Towards Short Movie Generation

Junfei Xiao ⋅ Ceyuan Yang ⋅ Lvmin Zhang ⋅ Shengqu Cai ⋅ Yang Zhao ⋅ Yuwei Guo ⋅ Gordon Wetzstein ⋅ Maneesh Agrawala ⋅ Alan Yuille ⋅ Lu Jiang

Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models

Sangwon Jang ⋅ Taekyung Ki ⋅ Jaehyeong Jo ⋅ Jaehong Yoon ⋅ Soo Ye Kim ⋅ Zhe Lin ⋅ Sung Ju Hwang

DreamSwapV: Mask-guided Subject Swapping for Any Customized Video Editing

Weitao Wang ⋅ Zichen Wang ⋅ Hongdeng Shen ⋅ Yulei Lu ⋅ Xirui Fan ⋅ Suhui Wu ⋅ Jun Zhang ⋅ Haoqian Wang ⋅ Hao Zhang

WithAnyone: Toward Controllable and ID Consistent Image Generation

Hengyuan Xu ⋅ Wei Cheng ⋅ Peng Xing ⋅ Yixiao Fang ⋅ Shuhan Wu ⋅ Rui Wang ⋅ Xianfang Zeng ⋅ Daxin Jiang ⋅ Gang Yu ⋅ Xingjun Ma ⋅ Yu-Gang Jiang

SIGMA-Gen: Structure and Identity Guided Multi-Subject Assembly for Image Generation

Oindrila Saha ⋅ Vojtech Krs ⋅ Radomir Mech ⋅ Subhransu Maji ⋅ Kevin Blackburn-Matzen ⋅ Matheus Gadelha

$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence

Yang Li ⋅ Songlin Yang ⋅ Wei Wang ⋅ Xiaoxuan Han ⋅ Jing Dong

ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation

Ruihang Xu ⋅ Dewei Zhou ⋅ Fan Ma ⋅ Yi Yang

Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control

Zeqian Long ⋅ Mingzhe Zheng ⋅ Kunyu Feng ⋅ Xinhua Zhang ⋅ Hongyu Liu ⋅ Harry Yang ⋅ Linfeng Zhang ⋅ Qifeng Chen ⋅ Yue Ma

VMDiff: Visual Mixing Diffusion for Limitless Cross-Object Synthesis

Zeren Xiong ⋅ Yue Yu ⋅ Ze-dong Zhang ⋅ Shuo Chen ⋅ Jian Yang ⋅ Jun Li

Autoregressive Image Generation with Randomized Parallel Decoding

Haopeng Li ⋅ Jinyue Yang ⋅ Guoqi Li ⋅ Huan Wang

Culture in Action: Evaluating Text-to-Image Models through Social Activities

Sina Malakouti ⋅ Boqing Gong ⋅ Adriana Kovashka

Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Model

Yang Yang ⋅ Siming Zheng ⋅ Qirui Yang ⋅ Jinwei Chen ⋅ Boxi Wu ⋅ Xiaofei He ⋅ Deng Cai ⋅ Bo Li ⋅ Peng-Tao Jiang

Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model Editing

Wootaek Jeong ⋅ Junghyo Sohn ⋅ Jee Seok Yoon ⋅ Heung-Il Suk

Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling

Yuan Wang ⋅ Yuhao Wan ⋅ Siming Zheng ⋅ Bo Li ⋅ Qibin Hou ⋅ Peng-Tao Jiang

NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models

Nir Goren ⋅ Oren Katzir ⋅ Abhinav Nakarmi ⋅ Eyal Ronen ⋅ Mahmood Sharif ⋅ Or Patashnik

OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot

Junhan Zhu ⋅ Hesong Wang ⋅ Mingluo Su ⋅ Zefang Wang ⋅ Huan Wang

VQ-Transplant: Efficient VQ-Module Integration for Pre-trained Visual Tokenizers

Xianghong Fang ⋅ Yuan Yuan ⋅ Dehan Kong ⋅ Tim G. J. Rudner

SimpleGVR: A Simple Baseline for Latent-Cascaded Generative Video Super-Resolution

Liangbin Xie ⋅ Yu Li ⋅ Shian Du ⋅ Menghan Xia ⋅ Xintao WANG ⋅ Fanghua Yu ⋅ Ziyan Chen ⋅ Pengfei Wan ⋅ Jiantao Zhou ⋅ Chao Dong

Unified In-Context Video Editing

Zixuan Ye ⋅ Xuanhua He ⋅ Quande Liu ⋅ Qiulin Wang ⋅ Xintao WANG ⋅ Pengfei Wan ⋅ Di ZHANG ⋅ Kun Gai ⋅ Qifeng Chen ⋅ Wenhan Luo

ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation

Rotem Shalev-Arkushin ⋅ Rinon Gal ⋅ Amit Bermano ⋅ Ohad Fried

CTRL&SHIFT: High-quality Geometry-Aware Object Manipulation in Visual Generation

Penghui Ruan ⋅ Bojia Zi ⋅ Xianbiao Qi ⋅ Youze Huang ⋅ Rong Xiao ⋅ Pichao WANG ⋅ Jiannong Cao ⋅ Yuhui Shi

DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models

Mor Ventura ⋅ Michael Toker ⋅ Or Patashnik ⋅ Yonatan Belinkov ⋅ Roi Reichart

SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation

Youngwoo Shin ⋅ jiwan hur ⋅ Junmo Kim

The Intricate Dance of Prompt Complexity, Quality, Diversity and Consistency in T2I Models

Zhang Xiaofeng ⋅ Aaron Courville ⋅ Michal Drozdzal ⋅ Adriana Romero-Soriano

EgoTwin: Dreaming Body and View in First Person

Jingqiao Xiu ⋅ Fangzhou Hong ⋅ Yicong Li ⋅ Mengze Li ⋅ Wentao Wang ⋅ Sirui Han ⋅ Liang Pan ⋅ Ziwei Liu

ReFocusEraser: Refocusing for Small Object Removal with Robust Context-Shadow Repair

Qingping Zheng ⋅ Bo Huang ⋅ Yang Liu ⋅ Haoyu Zhao ⋅ Ling Zheng ⋅ Zengmao Wang ⋅ Ying Li ⋅ Jiankang Deng

FreeAdapt: Unleashing Diffusion Priors for Ultra-High-Definition Image Restoration

Xiaoan Liu ⋅ Xinyi Liu ⋅ Yongjun Zhang ⋅ Yi Wan ⋅ Tingyun Li ⋅ Dongdong Yue

LogiStory: A Logic-Aware Framework for Multi-Image Story Visualization

Chutian Meng ⋅ Fan Ma ⋅ Chi Zhang ⋅ Jiaxu Miao ⋅ Yi Yang ⋅ Yueting Zhuang

BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation

Youping Gu ⋅ Xiaolong Li ⋅ Yuhao Hu ⋅ Chen Minqi ⋅ Bohan Zhuang

Dragging with Geometry: From Pixels to Geometry-Guided Image Editing

Xinyu Pu ⋅ Hongsong Wang ⋅ Jie Gui ⋅ Pan Zhou

MoSA: Motion-Coherent Human Video Generation via Structure-Appearance Decoupling

Haoyu Wang ⋅ Hao Tang ⋅ Donglin Di ⋅ Zhilu Zhang ⋅ Wangmeng Zuo ⋅ Feng Gao ⋅ Siwei Ma ⋅ Shiliang Zhang

VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation

Hritik Bansal ⋅ Clark Peng ⋅ Yonatan Bitton ⋅ Roman Goldenberg ⋅ Aditya Grover ⋅ Kai-Wei Chang

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

Justin Cui ⋅ Jie Wu ⋅ Ming Li ⋅ Tao Yang ⋅ Xiaojie Li ⋅ Rui Wang ⋅ Andrew Bai ⋅ Yuanhao Ban ⋅ Cho-Jui Hsieh

Does FLUX Already Know How to Perform Physically Plausible Image Composition?

Shilin Lu ⋅ Zhuming Lian ⋅ Zihan Zhou ⋅ Shaocong Zhang ⋅ Chen Zhao ⋅ Adams Kong

Diffusion Negative Preference Optimization Made Simple

Joshua Tian Jin Tee ⋅ Hee Suk Yoon ⋅ Sunjae Yoon ⋅ Tri Ton ⋅ Chang Yoo

MIMIC: Mask-Injected Manipulation Video Generation with Interaction Control

Tianxiao Chen ⋅ Jintao Rong ⋅ Huajin Chen ⋅ Jingya Wang ⋅ Tao Zhou ⋅ Jiming Chen ⋅ Qi Ye

PixNerd: Pixel Neural Field Diffusion

Shuai Wang ⋅ Ziteng Gao ⋅ Chenhui Zhu ⋅ Weilin Huang ⋅ Limin Wang

Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer

Tao Ren ⋅ Zishi Zhang ⋅ Jinyang Jiang ⋅ Zehao Li ⋅ Shentao Qin ⋅ Yi Zheng ⋅ Guanghao Li ⋅ Qianyou Sun ⋅ Yan Li ⋅ Jiafeng Liang ⋅ Xinping Li ⋅ Yijie Peng

Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions

Ada Görgün ⋅ Fawaz Sammani ⋅ Nikos Deligiannis ⋅ Bernt Schiele ⋅ Jonas Fischer

Learnable Sparsity for Vision Generative Models

Yang Zhang ⋅ Er Jin ⋅ Wenzhong Liang ⋅ Yanfei Dong ⋅ Ashkan Khakzar ⋅ Philip Torr ⋅ Johannes Stegmaier ⋅ Kenji Kawaguchi

LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration

Alessio Spagnoletti ⋅ Andres Almansa ⋅ Marcelo Pereyra

MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation

Rongsheng Wang ⋅ Minghao Wu ⋅ Hongru Zhou ⋅ Zhihan Yu ⋅ Zhenyang Cai ⋅ Junying Chen ⋅ Wang Benyou

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement

Dong She ⋅ Siming Fu ⋅ Mushui Liu ⋅ Qiaoqiao Jin ⋅ Hualiang Wang ⋅ weihao zhou ⋅ Jidong Jiang

LightCtrl: Training-free Controllable Video Relighting

Yizuo Peng ⋅ Xuelin Chen ⋅ Kai Zhang ⋅ Xiaodong Cun

NGS-Marker: Robust Native Watermarking for 3D Gaussian Splatting

Hao Qin ⋅ Yukai Sun ⋅ Luyuan Chen ⋅ Mengxu Lu ⋅ Feng Zhang ⋅ Ming Kong ⋅ Zhenhong Du ⋅ Qiang Zhu

Human3R: Everyone Everywhere All at Once

YUE CHEN ⋅ Xingyu Chen ⋅ Yuxuan Xue ⋅ Anpei Chen ⋅ Yuliang Xiu ⋅ Gerard Pons-Moll

UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections

Zeyu Cai ⋅ Ziyang Li ⋅ Xiaoben Li ⋅ Boqian Li ⋅ Zeyu Wang ⋅ Zhenyu Zhang ⋅ Yuliang Xiu

One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single Image

Pengfei Wang ⋅ Liyi Chen ⋅ Zhiyuan Ma ⋅ Yanjun Guo ⋅ Guowen Zhang ⋅ Lei Zhang

DiMeR: Disentangled Mesh Reconstruction Model with Normal-only Geometry Training

Lutao Jiang ⋅ Jiantao Lin ⋅ Kanghao Chen ⋅ Wenhang Ge ⋅ Xin Yang ⋅ Yifan Jiang ⋅ Yuanhuiyi Lyu ⋅ Xu Zheng ⋅ LI JING ⋅ Yinchuan Li ⋅ YINGCONG CHEN

TTT3R: 3D Reconstruction as Test-Time Training

Xingyu Chen ⋅ YUE CHEN ⋅ Yuliang Xiu ⋅ Andreas Geiger ⋅ Anpei Chen

PD$^{2}$GS: Part-Level Decoupling and Continuous Deformation of Articulated Objects via Gaussian Splatting

Haowen Wang ⋅ Xiaoping Yuan ⋅ Zhao Jin ⋅ Zhen Zhao ⋅ Zhengping Che ⋅ Yousong Xue ⋅ Jing Tian ⋅ Yakun Huang ⋅ Jian Tang

MultiMat: Multimodal Program Synthesis for Procedural Materials using Large Multimodal Models

Jonas Belouadi ⋅ Tamy Boubekeur ⋅ Adrien Kaiser

LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion

Clara Xue ⋅ Zizheng Yan ⋅ Zhenning Shi ⋅ Yuhang Yu ⋅ Jingyu Zhuang ⋅ Qi Zhang ⋅ Jinwei Chen ⋅ Qingnan Fan

FullPart: Generating each 3D Part at Full Resolution

Lihe Ding ⋅ Shaocong Dong ⋅ Yaokun Li ⋅ Chenjian Gao ⋅ Xiao Chen ⋅ Rui Han ⋅ Yihao Kuang ⋅ Hong Zhang ⋅ Bo Huang ⋅ Zhanpeng Huang ⋅ Zibin Wang ⋅ Dan Xu ⋅ Tianfan Xue

Horseshoe Splatting: Handling Structural Sparsity for Uncertainty-Aware Gaussian-Splatting Radiance Field Rendering

Feng Wu ⋅ Tsai Hor Chan ⋅ Yihang Chen ⋅ Lingting Zhu ⋅ Guosheng Yin ⋅ Lequan Yu

Variation-aware Flexible 3D Gaussian Editing

Hao Qin ⋅ Yukai Sun ⋅ Meng Wang ⋅ Ming Kong ⋅ Mengxu Lu ⋅ Qiang Zhu

Augmented Radiance Field: A General Framework for Enhanced Gaussian Splatting

Yixin Yang ⋅ Bojian Wu ⋅ Yang Zhou ⋅ Hui Huang

Stylos: Multi-View 3D Stylization with Single-Forward Gaussian Splatting

Hanzhou Liu ⋅ Jia Huang ⋅ Mi Lu ⋅ Srikanth Saripalli ⋅ Peng Jiang

Large Depth Completion Model from Sparse Observations

Zhu Yu ⋅ zhengyi zhao ⋅ Runmin Zhang ⋅ Lingteng Qiu ⋅ Kejie Qiu ⋅ Yisheng He ⋅ Siyu Zhu ⋅ Zilong Dong ⋅ Si-Yuan Cao ⋅ Hui-liang Shen

Signal Structure-Aware Gaussian Splatting for Large-Scale Scene Reconstruction

Weiyi Xue ⋅ Fan Lu ⋅ Chi Zhang ⋅ Tianhang Wang ⋅ Sanqing Qu ⋅ Zehan Zheng ⋅ Boyuan Zheng ⋅ Junqiao Zhao ⋅ Guang Chen

ULTRA-360: Unconstrained Dataset for Large-scale Temporal 3D Reconstruction across Altitudes and Omnidirectional Views

Xijun Liu ⋅ Zhaoliang Zhang ⋅ Yuxiang Guo ⋅ Yifan Zhou ⋅ Rama Chellappa ⋅ Cheng Peng

Universal Beta Splatting

Rong Liu ⋅ Zhongpai Gao ⋅ Benjamin Planche ⋅ Meida Chen ⋅ Van Nguyen ⋅ Meng Zheng ⋅ Anwesa Choudhuri ⋅ Terrence Chen ⋅ Yue Wang ⋅ Andrew Feng ⋅ Ziyan Wu

Sparkle: A Robust and Versatile Representation for Point Cloud-based Human Motion Capture

YIMING REN ⋅ YUJING SUN ⋅ Aoru Xue ⋅ Kwok Yan Lam ⋅ Yuexin Ma

PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs

Yixuan Wu ⋅ Yang Zhang ⋅ JIAN Wu ⋅ Philip Torr ⋅ Jindong Gu

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models

Ruilin Yao ⋅ Bo Zhang ⋅ Jirui Huang ⋅ Xinwei Long ⋅ Yifang Zhang ⋅ Tianyu Zou ⋅ Shili Xiong ⋅ Yi Rong ⋅ Yufei Wu ⋅ Shichao Su ⋅ Yifan Xu ⋅ Wenxi Zeng ⋅ Zhaoyu Yang ⋅ Guoyou Li ⋅ Shilan Zhang ⋅ Zichan Li ⋅ Yaxiong Chen ⋅ Shengwu Xiong ⋅ Peng Xu ⋅ Jiajun Zhang ⋅ Bowen Zhou ⋅ David Clifton ⋅ Luc Van Gool

SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense

Yiyang Huang ⋅ Liang Shi ⋅ Yitian Zhang ⋅ Yi Xu ⋅ Yun Fu

3DGEER: 3D Gaussian Rendering Made Exact and Efficient for Generic Cameras

Zixun Huang ⋅ Cho-Ying Wu ⋅ Yuliang Guo ⋅ Xinyu Huang ⋅ Liu Ren

DeepEyesV2: Toward Agentic Multimodal Model

Jack Hong ⋅ Chenxiao Zhao ⋅ ChengLIn Zhu ⋅ Weiheng Lu ⋅ Guohai Xu ⋅ XingYu

InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search

Kaican Li ⋅ Lewei Yao ⋅ Jiannan Wu ⋅ Tiezheng YU ⋅ Jierun Chen ⋅ Haoli Bai ⋅ LU HOU ⋅ Lanqing HONG ⋅ Wei Zhang ⋅ Nevin Zhang

Hallucination-aware Intermediate Representation Edit in Large Vision-Language Models

Wei Suo ⋅ Hanzu Zhang ⋅ Lijun Zhang ⋅ Ji Ma ⋅ PENG WANG ⋅ Yanning Zhang

ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Models

Juntian Zhang ⋅ Song Jin ⋅ Chuanqi Cheng ⋅ Yuhan Liu ⋅ Yankai Lin ⋅ Xun Zhang ⋅ Yufei zhang ⋅ Fei Jiang ⋅ Guojun Yin ⋅ Wei Lin ⋅ Rui Yan

Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology

Minghao Han ⋅ Dingkang Yang ⋅ Linhao Qu ⋅ Zizhi Chen ⋅ Gang Li ⋅ Han Wang ⋅ Jiacong Wang ⋅ Lihua Zhang

Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models

Yujin Jo ⋅ Taesup Kim

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation

Yujia Cai ⋅ Boxuan Li ⋅ Chenghao Xu ⋅ Jiexi Yan

AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization

Ashutosh Chaubey ⋅ Jiacheng Pang ⋅ Maksim Siniukov ⋅ Mohammad Soleymani

Empowering Small VLMs to Think with Dynamic Memorization and Exploration

Jiazhen Liu ⋅ Yuchuan Deng ⋅ Long Chen

Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation

Jianlong Chen ⋅ Zhiming Zhou

SONIC: Spectral Oriented Neural Invariant Convolutions

Gijs Moens ⋅ Regina Beets-Tan ⋅ Eduardo Pooch

Distributionally Robust Optimization via Generative Ambiguity Modeling

Jiaqi Wen ⋅ Jianyi Yang

LLaVAction: evaluating and training multi-modal large language models for action understanding

Haozhe Qi ⋅ Shaokai Ye ⋅ Alexander Mathis ⋅ Mackenzie Mathis

Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment

Haobin Li ⋅ Yijie Lin ⋅ Peng Hu ⋅ Mouxing Yang ⋅ Xi Peng

Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes

ZhiYuan Feng ⋅ Zhaolu Kang ⋅ Qijie Wang ⋅ Zhiying Du ⋅ Jiongrui Yan ⋅ Shubin Shi ⋅ Chengbo Yuan ⋅ Huizhi Liang ⋅ Yu Deng ⋅ Qixiu Li ⋅ Rushuai Yang ⋅ Ruichuan An ⋅ Leqi Zheng ⋅ Weijie Wang ⋅ Shuang Chen ⋅ Sicheng Xu ⋅ Yaobo Liang ⋅ Jiaolong Yang ⋅ Baining Guo

Fantastic Tractor-Dogs and How Not to Find Them With Open-Vocabulary Detectors

Frank Ruis ⋅ Gertjan J Burghouts ⋅ Hugo J. Kuijf

Omni-IML: Towards Unified Interpretable Image Manipulation Localization

Chenfan Qu ⋅ Yiwu Zhong ⋅ Fengjun Guo ⋅ Lianwen Jin

RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning

Sicheng Feng ⋅ Kaiwen TUO ⋅ Song Wang ⋅ Lingdong Kong ⋅ Jianke Zhu ⋅ Huan Wang

ARFlow: Auto-regressive Optical Flow Estimation for Arbitrary-Length Videos via Progressive Next-Frame Forecasting

Jiuming Liu ⋅ Mengmeng Liu ⋅ Siting Zhu ⋅ Yunpeng Zhang ⋅ Jiangtao Li ⋅ Michael Yang ⋅ Francesco Nex ⋅ Hao Cheng ⋅ Hesheng Wang

Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity

Zhengyao Fang ⋅ Pengyuan Lyu ⋅ Chengquan Zhang ⋅ Guangming Lu ⋅ Jun Yu ⋅ Wenjie Pei

What "Not" to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging

Inha Kang ⋅ Youngsun Lim ⋅ Seonho Lee ⋅ Jiho Choi ⋅ Junsuk Choe ⋅ Hyunjung Shim

StreamingVLM: Real-Time Understanding for Infinite Video Streams

Ruyi Xu ⋅ Guangxuan Xiao ⋅ Yukang Chen ⋅ Liuning He ⋅ Kelly Peng ⋅ Yao Lu ⋅ Song Han

GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Models

Qinghongbing Xie ⋅ Zhaoyuan Xia ⋅ Feng Zhu ⋅ Lijun GONG ⋅ Ziyue Li ⋅ Rui Zhao ⋅ Long ZENG

VisuRiddles: Fine-grained Perception is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning

Hao Yan ⋅ Xingchen Liu ⋅ Hao Wang ⋅ Zhenbiao Cao ⋅ Handong Zheng ⋅ Liang Yin ⋅ Xinxing Su ⋅ Zihao Chen ⋅ Jihao Wu ⋅ Minghui Liao ⋅ CHAO WENG ⋅ Wei Chen ⋅ Yuliang Liu ⋅ Xiang Bai

GranViT: A Fine-Grained Vision Model For Autoregressive Multimodal Large Language Models

Guanghao Zheng ⋅ Bowen Shi ⋅ Mingxing Xu ⋅ Ruoyu Sun ⋅ Peisen Zhao ⋅ Zhibo Zhang ⋅ Wenrui Dai ⋅ Junni Zou ⋅ Hongkai Xiong ⋅ XIAOPENG ZHANG ⋅ Qi Tian

TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis

Sijing Li ⋅ Zhongwei Qiu ⋅ Jiang Liu ⋅ Wenqiao Zhang ⋅ Tianwei Lin ⋅ Yihan Xie ⋅ Jianxiang An ⋅ Boxiang Yun ⋅ Chenglin Yang ⋅ Jun Xiao ⋅ Guangyu Guo ⋅ Jiawen Yao ⋅ Wei Liu ⋅ Yuan gao ⋅ Ke Yan ⋅ Weiwei Cao ⋅ Zhilin Zheng ⋅ Tony C. W. MOK ⋅ Kai Cao ⋅ Yu Shi ⋅ Jiuyu Zhang ⋅ Jian Zhou ⋅ Beng Chin Ooi ⋅ Yingda Xia ⋅ Ling Zhang

Spatial-DISE: A Unified Benchmark for Evaluating Spatial Reasoning in Vision-Language Models

Xinmiao Huang ⋅ Qisong He ⋅ Zhenglin Huang ⋅ Boxuan Wang ⋅ Zhuoyun Li ⋅ Guangliang Cheng ⋅ Yi Dong ⋅ Xiaowei Huang

Grounding or Guessing? Visual Signals for Detecting Hallucinations in Sign Language Translation

Yasser HAMIDULLAH ⋅ Koel Dutta Chowdhury ⋅ Yusser Al Ghussin ⋅ Shakib Yazdani ⋅ Cennet Oguz ⋅ Josef Genabith ⋅ Cristina España-Bonet

MoRA: Missing Modality Low-Rank Adaptation for Visual Recognition

Shu Zhao ⋅ Nilesh Ahuja ⋅ Tan Yu ⋅ Tianyi Shen ⋅ Vijaykrishnan Narayanan

Transductive Visual Programming: Evolving Tool Libraries from Experience for Spatial Reasoning

Shengguang Wu ⋅ Xiaohan Wang ⋅ Yuhui Zhang ⋅ Hao Zhu ⋅ Serena Yeung

SpaCE-Eval: A Benchmark for Real-World Multi-Modal Reasoning

Xuyou Yang ⋅ Yucheng Zhao ⋅ Wenxuan Zhang ⋅ Immanuel Koh

SPIKE-RL: Video-LLMs meet Bayesian Surprise

Sahithya Ravi ⋅ Aditya Chinchure ⋅ Raymond Ng ⋅ Leonid Sigal ⋅ Vered Shwartz

Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs

Minji Kim ⋅ Taekyung Kim ⋅ Bohyung Han

Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification

Siyi Du ⋅ Xinzhe Luo ⋅ Declan O'regan ⋅ Chen Qin

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks

Rahul Ramachandran ⋅ Ali Garjani ⋅ Roman Bachmann ⋅ Andrei Atanov ⋅ Oğuzhan Kar ⋅ Amir Zamir

PPE: Positional Preservation Embedding for Token Compression in Multimodal Large Language Models

Mouxiao Huang ⋅ Borui Jiang ⋅ Dehua Zheng ⋅ Hailin Hu ⋅ Kai Han ⋅ Xinghao Chen

Multimodal Classification via Total Correlation Maximization

Feng Yu ⋅ Xiangyu Wu ⋅ Yang Yang ⋅ Jianfeng Lu

OmniCVR: A Benchmark for Omni-Composed Video Retrieval with Vision, Audio, and Text

Junyang Ji ⋅ Shengjun Zhang ⋅ Da Li ⋅ Yuxiao Luo ⋅ Yan Wang ⋅ Di Xu ⋅ Biao Yang ⋅ Wei Yuan ⋅ Fan Yang ⋅ Zhihai He ⋅ Wenming Yang

VLM-Guided Adaptive Negative Prompting for Creative Generation

shelly golan ⋅ Yotam Nitzan ⋅ Zongze Wu ⋅ Or Patashnik

CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning

Long Xing ⋅ Xiaoyi Dong ⋅ Yuhang Zang ⋅ Yuhang Cao ⋅ Jianze Liang ⋅ Qidong Huang ⋅ Jiaqi Wang ⋅ Feng Wu ⋅ Dahua Lin

Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models

Yi Ding ⋅ Lijun Li ⋅ Bing Cao ⋅ Jing Shao

WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents

SICHENG FAN ⋅ Qingyun Shi ⋅ Shengze Xu ⋅ Shengbo Cai ⋅ Tieyong Zeng ⋅ LI LING ⋅ Yanyi Shang ⋅ Dehan Kong

No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers

Damiano Marsili ⋅ Georgia Gkioxari

CroCoDiLight: Repurposing Cross-View Completion Encoders for Relighting

Alistair J Foggin ⋅ William Smith

Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning

Rongjin Li ⋅ Zichen Tang ⋅ Xianghe Wang ⋅ Xinyi Hu ⋅ Zhengyu Wang ⋅ Zhengyu Lu ⋅ Yiling Huang ⋅ Jiayuan Chen ⋅ Weisheng Tan ⋅ Jiacheng Liu ⋅ Zhongjun Yang ⋅ Haihong E

Deep Global-sense Hard-negative Discriminative Generation Hashing for Cross-modal Retrieval

Kun Cheng ⋅ Qibing Qin ⋅ Wenfeng Zhang ⋅ Lei Huang ⋅ Jie Nie

ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance Generation

Jingzhong Lin ⋅ Xinru Li ⋅ Yuanyuan Qi ⋅ Bohao Zhang ⋅ Wenxiang Liu ⋅ Kecheng Tang ⋅ Wenxuan Huang ⋅ Xiangfeng Xu ⋅ Bangyan Li ⋅ Changbo Wang ⋅ Gaoqi He

Composition-Grounded Data Synthesis for Visual Reasoning

Xinyi Gu ⋅ Jiayuan Mao ⋅ Zhang-Wei Hong ⋅ Zhuoran Yu ⋅ Pengyuan Li ⋅ Dhiraj Joshi ⋅ Rogerio Feris ⋅ Zexue He

Seeing What’s Not There: Negation Understanding Needs More Than Training

Bhuvan Aggarwal ⋅ Amit More ⋅ Mudit Soni ⋅ Srinivasa Divakar Bhat

EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark

Deheng Zhang ⋅ Yuqian Fu ⋅ Runyi Yang ⋅ Yang Miao ⋅ Tianwen Qian ⋅ Xu Zheng ⋅ Guolei Sun ⋅ Ajad Chhatkuli ⋅ Xuanjing Huang ⋅ Yu-Gang Jiang ⋅ Luc Van Gool ⋅ Danda Pani Paudel

RoRE: Rotary Ray Embedding for Generalised Multi-Modal Scene Understanding

Ryan Griffiths ⋅ Donald Dansereau

MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models

Wulin Xie ⋅ YiFan Zhang ⋅ Chaoyou Fu ⋅ Yang Shi ⋅ Jianshu Zeng ⋅ Bingyan Nie ⋅ Hongkai Chen ⋅ Zhang Zhang ⋅ Liang Wang

GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception

Xiao Zhao ⋅ Chang Liu ⋅ Mingxu Zhu ⋅ Zheyuan Zhang ⋅ Linna Song ⋅ Qingliang Luo ⋅ Chufan Guo ⋅ Kuifeng Su

From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning

Ruilin Luo ⋅ Chufan Shi ⋅ Yizhen Zhang ⋅ Cheng Yang ⋅ Songtao Jiang ⋅ Tongkun Guan ⋅ Ruizhe Chen ⋅ Ruihang Chu ⋅ Peng Wang ⋅ Mingkun Yang ⋅ Lei Wang ⋅ Yujiu Yang ⋅ Junyang Lin ⋅ ZhiBo Yang

MaskInversion: Localized Embeddings via Optimization of Explainability Maps

Walid Bousselham ⋅ Sofian Chaybouti ⋅ Christian Rupprecht ⋅ Vittorio Ferrari ⋅ Hilde Kuehne

HiDrop: Hierarchical Vision Token Reduction in MLLMs via Late Injection, Concave Pyramid Pruning, and Early Exit

Hao Wu ⋅ Yingqi Fan ⋅ Dai Jinyang ⋅ Junlong Tong ⋅ Yunpu Ma ⋅ Xiaoyu Shen

Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction

Aditya Sarkar ⋅ Yi Li ⋅ Jiacheng Cheng ⋅ Shlok Mishra ⋅ Nuno Vasconcelos

ScaleCap: Scalable Image Captioning via Dual-Modality Debiasing

Long Xing ⋅ Qidong Huang ⋅ Xiaoyi Dong ⋅ Pan Zhang ⋅ Yuhang Zang ⋅ Yuhang Cao ⋅ Jinsong Li ⋅ Shuangrui Ding ⋅ Weiming Zhang ⋅ Nenghai Yu ⋅ Jiaqi Wang ⋅ Feng Wu ⋅ Dahua Lin

Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models

Sen Ye ⋅ Mengde Xu ⋅ Shuyang Gu ⋅ Di He ⋅ Liwei Wang ⋅ Winston Hu

Hierarchical Prototype Learning for Semantic Segmentation

Seoha Lim ⋅ Jinmyeong Kim ⋅ Jieun Kim ⋅ Sung-Bae Cho

QPrompt-R1: Real-Time Reasoning for Domain-Generalized Semantic Segmentation via Group-Relative Query Alignment

Fengyuan Lu ⋅ Zixuan Duan ⋅ Xunzhi Xiang ⋅ ZHICHENG ZHANG ⋅ Wenbin Li ⋅ Yang Gao ⋅ Qi Fan

RF-DETR: Neural Architecture Search for Real-Time Detection Transformers

Isaac Robinson ⋅ Peter Robicheaux ⋅ Matvei Popov ⋅ Deva Ramanan ⋅ Neehar Peri

Zero-shot HOI Detection with MLLM-based Detector-agnostic Interaction Recognition

Shiyu Xuan ⋅ Dongkai Wang ⋅ Zechao Li ⋅ Jinhui Tang

GUIDE: Gated Uncertainty-Informed Disentangled Experts for Long-tailed Recognition

Yuan Dong ⋅ Zhe Zhao ⋅ Liheng Yu ⋅ Di Wu ⋅ Pengkun Wang

Expressive yet Efficient Feature Expansion with Adaptive Cross-Hadamard Products

Xuyang Zhang ⋅ Xi Zhang ⋅ Liang Chen ⋅ Hao Shi ⋅ Qingshan Guo

Adaptive Gaussian Expansion for On-the-fly Category Discovery

Chunming Li ⋅ Shidong Wang ⋅ Haofeng Zhang

CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis

Alexander Baumann ⋅ Leonardo Ayala ⋅ Silvia Seidlitz ⋅ Jan Sellner ⋅ Alexander Studier-Fischer ⋅ Berkin Özdemir ⋅ Lena Maier-Hein ⋅ Slobodan Ilic

ELViS: Efficient Visual Similarity from Local Descriptors that Generalizes Across Domains

Pavel Suma ⋅ Giorgos Kordopatis-Zilos ⋅ Yannis Kalantidis ⋅ Giorgos Tolias

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection

siheng wang ⋅ Yanshu Li ⋅ Bohan Hu ⋅ Zhengdao Li ⋅ HaiboZhan ⋅ Linshan Li ⋅ Weiming Liu ⋅ Ruizhi Qian ⋅ Guangxin Wu ⋅ Hao Zhang ⋅ Jifeng Shen ⋅ Piotr Koniusz ⋅ Zhengtao Yao ⋅ Junhao Dong ⋅ Qiang Sun

Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models

Jiaqi Leng ⋅ Xiang Hu ⋅ Junxiong Wang ⋅ Jianguo Li ⋅ Wei Wu ⋅ Yucheng Lu

SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams

Zhuoheng Gao ⋅ Yihao Li ⋅ Jiyao Zhang ⋅ Rui Zhao ⋅ Tong Wu ⋅ Hao Tang ⋅ Zhaofei Yu ⋅ Hao Dong ⋅ Guozhang Chen ⋅ Tiejun Huang

Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation

Ziyu Wang ⋅ SHUANGPENG HAN ⋅ Mengmi Zhang

Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments

Di Wen ⋅ Lei Qi ⋅ Kunyu Peng ⋅ Kailun Yang ⋅ Fei Teng ⋅ Ao Luo ⋅ Jia Fu ⋅ Yufan Chen ⋅ Ruiping Liu ⋅ Yitian Shi ⋅ M. Sarfraz ⋅ Rainer Stiefelhagen

Pose-RFT: Aligning MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-Tuning

Bao Li ⋅ Xiaomei Zhang ⋅ Miao Xu ⋅ Zhaoxin Fan ⋅ Xiangyu Zhu ⋅ Zhen Lei

UniTrack: Differentiable Graph Representation Learning for Multi-Object Tracking

Bishoy Galoaa ⋅ Xiangyu Bai ⋅ Utsav Nandi ⋅ Sai Rangoju ⋅ Somaieh Amraee ⋅ Sarah Ostadabbas

Pulp Motion: Framing-aware multimodal camera and human motion generation

Robin Courant ⋅ Xi WANG ⋅ David Loiseaux ⋅ Marc Christie ⋅ Vicky Kalogeiton

Benchmarking Open-ended Segmentation

Cristina González ⋅ Santiago Rodriguez ⋅ Kevis-Kokitsi Maninis ⋅ Jordi Pont-Tuset ⋅ Pablo Arbelaez

Enhancing Vision Transformers for Object Detection via Context-Aware Token Selection and Packing

Tianyi Zhang ⋅ Baoxin Li ⋅ Jae-sun Seo ⋅ Yu Cao

Human-Object Interaction via Automatically Designed VLM-Guided Motion Policy

Zekai Deng ⋅ Ye Shi ⋅ Kaiyang Ji ⋅ Lan Xu ⋅ Shaoli Huang ⋅ Jingya Wang

The Quest for Generalizable Motion Generation: Data, Model, and Evaluation

Jing Lin ⋅ Ruisi Wang ⋅ Junzhe Lu ⋅ Ziqi Huang ⋅ Guorui Song ⋅ AILING ZENG ⋅ Xian Liu ⋅ Chen Wei ⋅ Wanqi Yin ⋅ Qingping SUN ⋅ Zhongang Cai ⋅ Lei Yang ⋅ Ziwei Liu

JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation

Jianghan Chao ⋅ jianzhang gao ⋅ Wenhui Tan ⋅ Yuchong Sun ⋅ Ruihua Song ⋅ Liyun Ru

APT: Towards Universal Scene Graph Generation via Plug-in Adaptive Prompt Tuning

Ruikun Luo ⋅ Changwei Gu ⋅ Jing Yang ⋅ Yuan Gao ⋅ Jieming Yang ⋅ Song Wu ⋅ Hai Jin ⋅ Xiaoyu Xia

Inlier-Centric Post-Training Quantization for Object Detection Models

Minsu Kim ⋅ Dongyeun Lee ⋅ Jaemyung Yu ⋅ jiwan hur ⋅ Giseop Kim ⋅ Junmo Kim

SelvaBox: A high‑resolution dataset for tropical tree crown detection

Hugo Baudchon ⋅ Arthur Ouaknine ⋅ Martin Weiss ⋅ Mélisande Teng ⋅ Thomas Walla ⋅ Antoine Caron-Guay ⋅ Christopher Pal ⋅ Etienne Laliberté

PointRePar : SpatioTemporal Point Relation Parsing for Robust Category-Unified 3D Tracking

Juntao Liu ⋅ Zikun Zhou ⋅ Zhuotao Tian ⋅ Guangming Lu ⋅ Jun Yu ⋅ Wenjie Pei

Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework

Rajesh Shrestha ⋅ Xiao Fu

FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring

Xiaoyang Liu ⋅ Zhengyan Zhou ⋅ Zihang Xu ⋅ Jiezhang Cao ⋅ Zheng Chen ⋅ Yulun Zhang

Splat and Distill: Augmenting Teachers with Feed-Forward 3D Reconstruction For 3D-Aware Distillation

David Shavin ⋅ Sagie Benaim

Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives

Amirhossein Zamani ⋅ Bruno Roy ⋅ Arianna Rampini

MOAI: Module-Optimizing Architecture for Non-Interactive Secure Transformer Inference

Linru Zhang ⋅ Xiangning Wang ⋅ Jun Jie Sim ⋅ Zhicong Huang ⋅ Jiahao Zhong ⋅ HUAXIONG WANG ⋅ Pu Duan ⋅ Kwok Yan Lam

Membership Inference Attacks Against Fine-tuned Diffusion Language Models

Yuetian Chen ⋅ Kaiyuan Zhang ⋅ Yuntao Du ⋅ Edoardo Stoppa ⋅ Charles Fleming ⋅ Ashish Kundu ⋅ Bruno Ribeiro ⋅ Ninghui Li

Searching for Privacy Risks in LLM Agents via Simulation

Yanzhe Zhang ⋅ Diyi Yang

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models

Bartłomiej Marek ⋅ Lorenzo Rossi ⋅ Vincent Hanke ⋅ Xun Wang ⋅ Michael Backes ⋅ Franziska Boenisch ⋅ Adam Dziedzic

SMOTE and Mirrors: Exposing Privacy Leakage from Synthetic Minority Oversampling

Georgi Ganev ⋅ MohammadReza Nazari ⋅ Rees Davison ⋅ Amirhassan Dizche ⋅ XINMIN WU ⋅ Ralph Abbey ⋅ Jorge Silva ⋅ Emiliano De Cristofaro

On Optimal Hyperparameters for Differentially Private Deep Transfer Learning

Aki Rehn ⋅ Linzh Zhao ⋅ Mikko Heikkilä ⋅ Antti Honkela

Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting Without Disclosure

Hanlin Gu ⋅ Hong Xi Tae ⋅ Lixin Fan ⋅ Chee Seng Chan

Prediction with Expert Advice under Local Differential Privacy

Ben Jacobsen ⋅ Kassem Fawaz

PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text

TIANYUAN ZOU ⋅ Zinan Lin ⋅ Sivakanth Gopi ⋅ Yang Liu ⋅ Ya-Qin Zhang ⋅ Robert Sim ⋅ Xin Deng ⋅ Sergey Yekhanin

Gaussian certified unlearning in high dimensions: A hypothesis testing approach

Aaradhya Pandey ⋅ Arnab Auddy ⋅ Haolin Zou ⋅ Arian Maleki ⋅ Sanjeev Kulkarni

Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting

Shai Feldman ⋅ Stephen Bates ⋅ Yaniv Romano

Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning

Thibaud Gloaguen ⋅ Mark Vero ⋅ Robin Staab ⋅ Martin Vechev

In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations

Mohammad Aflah Khan ⋅ Mahsa Amani ⋅ Soumi Das ⋅ Bishwamittra Ghosh ⋅ Qinyuan Wu ⋅ Krishna Gummadi ⋅ Manish Gupta ⋅ Abhilasha Ravichander

Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding

Lin Long ⋅ Changdae Oh ⋅ Seongheon Park ⋅ Sharon Li

Trust The Typical

Debargha Ganguly ⋅ Sreehari Sankar ⋅ Biyao Zhang ⋅ Vikash Singh ⋅ Kanan Gupta ⋅ Harshini Kavuru ⋅ Alan Luo ⋅ Weicong Chen ⋅ Warren Morningstar ⋅ Raghu Machiraju ⋅ Vipin Chaudhary

ExpGuard: LLM Content Moderation in Specialized Domains

Minseok Choi ⋅ Dongjin Kim ⋅ Seungbin Yang ⋅ Subin Kim ⋅ Youngjun Kwak ⋅ Juyoung Oh ⋅ Jaegul Choo ⋅ Jungmin Son

Fairness via Independence: A General Regularization Framework for Machine Learning

Yezi Liu ⋅ Hanning Chen ⋅ Wenjun Huang ⋅ Yang Ni ⋅ Mohsen Imani

Attention Smoothing Is All You Need For Unlearning

Saleh Zare Zade ⋅ Xiangyu Zhou ⋅ Sijia Liu ⋅ Dongxiao Zhu

LLM Unlearning with LLM Beliefs

Kemou Li ⋅ Qizhou Wang ⋅ Yue Wang ⋅ Fengpeng Li ⋅ Jun Liu ⋅ Bo Han ⋅ Jiantao Zhou

Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations

Pedro Ferreira ⋅ Wilker Aziz ⋅ Ivan Titov

PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach

Udari Sehwag ⋅ Shayan Shabihi ⋅ Alex McAvoy ⋅ Vikash Sehwag ⋅ Yuancheng Xu ⋅ Dalton towers ⋅ Furong Huang

Annotation-Efficient Honesty Alignment via Confidence Elicitation and Calibration

Shiyu Ni ⋅ Keping Bi ⋅ Jiafeng Guo ⋅ Minghao Tang ⋅ Jingtong wu ⋅ Zengxin Han ⋅ Xueqi Cheng

Decoupling the Class Label and the Target Concept in Machine Unlearning

Jianing ZHU ⋅ Bo Han ⋅ Jiangchao Yao ⋅ Jianliang Xu ⋅ Gang Niu ⋅ Masashi Sugiyama

DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher

Yisheng Zhong ⋅ Zhengbang Yang ⋅ Zhuangdi Zhu

Enhancing Hallucination Detection through Noise Injection

Litian Liu ⋅ Reza Pourreza ⋅ Sunny Panchal ⋅ Apratim Bhattacharyya ⋅ Yubing Jian ⋅ Yao Qin ⋅ Roland Memisevic

Fairness-Aware Multi-view Evidential Learning with Adaptive Prior

Haishun Chen ⋅ Cai Xu ⋅ Jinlong Yu ⋅ Yilin Zhang ⋅ Ziyu Guan ⋅ Wei Zhao ⋅ Fangyuan Zhao ⋅ Xin Yang

Breaking and Fixing Defenses Against Control Flow Hijacking in Multi-Agent Systems

Rishi Jha ⋅ Harold Triedman ⋅ Justin Wagle ⋅ Vitaly Shmatikov

Test-Time Poisoned Sample Detection by Exploiting Shallow Malicious Matching in Backdoored CLIP

Zhengyao Song ⋅ Meixi Zheng ⋅ Ke Xu ⋅ Yongqiang Li ⋅ Baoyuan Wu

On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment

Sarah Ball ⋅ Greg Gluch ⋅ Shafi Goldwasser ⋅ Frauke Kreuter ⋅ Omer Reingold ⋅ Guy Rothblum

Unlearning Evaluation through Subset Statistical Independence

Chenhao Zhang ⋅ Muxing Li ⋅ Feng Liu ⋅ Weitong Chen ⋅ Miao Xu

Invisible Safety Threat: Malicious Finetuning for LLM via Steganography

Guangnian Wan ⋅ Xinyin Ma ⋅ Gongfan Fang ⋅ Xinchao Wang

AEGIS: Adversarial Target-Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models

Fengpeng Li ⋅ Kemou Li ⋅ Qizhou Wang ⋅ Bo Han ⋅ Jiantao Zhou

Every Language Model Has a Forgery-Resistant Signature

Matthew Finlayson ⋅ Xiang Ren ⋅ Swabha Swayamdipta

LLM Fingerprinting via Semantically Conditioned Watermarks

Thibaud Gloaguen ⋅ Robin Staab ⋅ Nikola Jovanović ⋅ Martin Vechev

Narrow Finetuning Leaves Clearly Readable Traces in Activation Differences

Julian Minder ⋅ Clément Dumas ⋅ Stewart Slocum ⋅ Helena Casademunt ⋅ Cameron Holmes ⋅ Robert West ⋅ Neel Nanda

FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning

Xu Shen ⋅ Song Wang ⋅ Zhen Tan ⋅ Laura Yao ⋅ Xinyu Zhao ⋅ Kaidi Xu ⋅ Xin Wang ⋅ Tianlong Chen

Obfuscated Activations Bypass LLM Latent-Space Defenses

Luke Bailey ⋅ Alex Serrano ⋅ Abhay Sheshadri ⋅ Mikhail Seleznyov ⋅ Jordan Taylor ⋅ Erik Jenner ⋅ Jacob Hilton ⋅ Stephen Casper ⋅ Carlos Guestrin ⋅ Scott Emmons

Unpacking Human Preference for LLMs: Demographically Aware Evaluation with the HUMAINE Framework

Nora Petrova ⋅ Andrew Gordon ⋅ Enzo Blindow

Attribution-Guided Decoding

Piotr Komorowski ⋅ Elena Golimblevskaia ⋅ Reduan Achtibat ⋅ Thomas Wiegand ⋅ Sebastian Lapuschkin ⋅ Wojciech Samek

Certified Evaluation of Model-Level Explanations for Graph Neural Networks

Sayan Saha ⋅ Sanghamitra Bandyopadhyay

Learning Concept Bottleneck Models from Mechanistic Explanations

Antonio De Santis ⋅ Schrasing Tong ⋅ Marco Brambilla ⋅ Lalana Kagal

Counterfactual LLM-based Framework for Measuring Rhetorical Style

Jingyi Qiu ⋅ Hong Chen ⋅ Zongyi Li

Hidden Breakthroughs in Language Model Training

Sara Kangaslahti ⋅ Elan Rosenfeld ⋅ Naomi Saphra

Thought Branches: Interpreting LLM Reasoning Requires Resampling

Uzay Macar ⋅ Paul Bogdan ⋅ Senthooran Rajamanoharan ⋅ Neel Nanda

Self-Jailbreaking: Language Models Can Reason Themselves Out of Safety Alignment After Benign Reasoning Training

Zheng Xin Yong ⋅ Stephen Bach

Knowledge Externalization: Reversible Unlearning and Modular Retrieval in Multimodal Large Language Models

Jiaqi Li ⋅ Zihan You ⋅ Ruoyan Shen ⋅ Shenyu Zhang ⋅ Songlin Zhai ⋅ Yongrui Chen ⋅ Chuanyi Zhang ⋅ Jiahui Geng ⋅ Fakhri Karray ⋅ Sheng Bi ⋅ Guilin Qi

CodeGenGuard: A Watermark for Code Generation Models

Borui Yang ⋅ Mingxuan Ma ⋅ Liyao Xiang ⋅ Nan Chen ⋅ Xin Zhang ⋅ Linghe Kong ⋅ Xinghao Jiang

VeriTrail: Closed-Domain Hallucination Detection with Traceability

Dasha Metropolitansky ⋅ Jonathan Larson

TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees

Weida Li ⋅ Haoye Lu ⋅ Bryan Kian Hsiang Low

SAE as a Crystal Ball: Interpretable Features Predict Cross-domain Transferability of LLMs without Training

Qi Zhang ⋅ Yifei Wang ⋅ Xiaohan Wang ⋅ Jiajun Chai ⋅ Guojun Yin ⋅ Wei Lin ⋅ Yisen Wang

Latent Planning Emerges with Scale

Michael Hanna ⋅ Emmanuel Ameisen

Verifying Chain-of-Thought Reasoning via Its Computational Graph

Zheng Zhao ⋅ Yeskendir Koishekenov ⋅ Xianjun Yang ⋅ Naila Murray ⋅ Nicola Cancedda

RedacBench: Can AI Erase Your Secrets?

Hyunjun Jeon ⋅ Kyuyoung Kim ⋅ Jinwoo Shin

Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols

Mikhail Terekhov ⋅ Alexander Panfilov ⋅ Daniil Dzenhaliou ⋅ Caglar Gulcehre ⋅ Maksym Andriushchenko ⋅ Ameya Prabhu ⋅ Jonas Geiping

The Achilles’ Heel of LLMs: How Altering a Handful of Neurons Can Cripple Language Abilities

Zixuan Qin ⋅ Qingchen Yu ⋅ Kunlin Lyu ⋅ Zhaoxin Fan ⋅ Yifan Sun

From ``Sure" to ``Sorry": Detecting Jailbreak in Large Vision Language Model via JailNeurons

Yuyou Gan ⋅ Qingming Li ⋅ Junhao Li ⋅ Zhi Chen ⋅ Jinbao Li ⋅ Xiaoming Li ⋅ Shouling Ji

Swap-guided Preference Learning for Personalized Reinforcement Learning from Human Feedback

Gihoon Kim ⋅ Euntai Kim

HLD: Approximate Hierarchical Linguistic Distribution Modeling for LLM-Generated Text Detection

Rui Guo ⋅ Weibin Zeng ⋅ Fuzhang Wu ⋅ Yan Kong ⋅ sicheng shen ⋅ Yanjun WU ⋅ Weiming Dong

Automatic Dialectic Jailbreak: A Framework for Generating Effective Jailbreak Strategies

Jianghai Yu ⋅ Yang Zhou ⋅ Zihan Zhou ⋅ Lingjuan Lyu ⋅ Da Yan ⋅ Ruoming Jin ⋅ Dejing Dou

ELEPHANT: Measuring and understanding social sycophancy in LLMs

Myra Cheng ⋅ Sunny Yu ⋅ Cinoo Lee ⋅ Pranav Khadpe ⋅ Lujain Ibrahim ⋅ Dan Jurafsky

Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching

Ren Kishimoto ⋅ Rikiya Takehi ⋅ Koichi Tanaka ⋅ Yoji Tomita ⋅ Masahiro Nomura ⋅ Riku Togashi ⋅ Yuta Saito

STAR: Strategy-driven Automatic Jailbreak Red-teaming For Large Language Model

Jianing Liu ⋅ Qingming Li ⋅ Jiahao Chen ⋅ Rui Zeng ⋅ Binbin Zhao ⋅ Shouling Ji

Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks

Yi Yu ⋅ Qixin ZHANG ⋅ Shuhan YE ⋅ Xun Lin ⋅ Qianshan Wei ⋅ Kun Wang ⋅ Wenhan Yang ⋅ Dacheng Tao ⋅ Jiang Xudong

Fair Graph Machine Learning under Adversarial Missingness Processes

Debolina Halder Lina ⋅ Arlei Silva

How to Cure Newton for Unlearning Neural Networks? An Empirical Study from the Hessian Perspective

Nhung Bui ⋅ Xinyang Lu ⋅ Rachael Hwee Ling Sim ⋅ See-Kiong Ng ⋅ Bryan Kian Hsiang Low

Dual-Space Smoothness for Robust and Balanced LLM Unlearning

Han Yan ⋅ Zheyuan Liu ⋅ Meng Jiang

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning

Yicheng Lang ⋅ Yihua Zhang ⋅ Chongyu Fan ⋅ Changsheng Wang ⋅ Jinghan Jia ⋅ Sijia Liu

Steering the Herd: A Framework for LLM-based Control of Social Learning

Raghu Arghal ⋅ Kevin He ⋅ Shirin Saeedi Bidokhti ⋅ Saswati Sarkar

MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes

Yu Ying Chiu ⋅ Michael Lee ⋅ Rachel Calcott ⋅ Brandon Handoko ⋅ Paul de Font-Reaulx ⋅ Paula Rodriguez ⋅ Chen Bo Calvin Zhang ⋅ Ziwen Han ⋅ Udari Sehwag ⋅ Yash Maurya ⋅ Christina Knight ⋅ Harry Lloyd ⋅ Florence Bacus ⋅ Mantas Mazeika ⋅ Bing Liu ⋅ Yejin Choi ⋅ Mitchell Gordon ⋅ Sydney Levine

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation

Peng Lai ⋅ Zhihao Ou ⋅ Yong Wang ⋅ Longyue Wang ⋅ Jian Yang ⋅ Yun Chen ⋅ Guanhua Chen

BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses

Xin Xu ⋅ Xunzhi He ⋅ Churan Zhi ⋅ Ruizhe Chen ⋅ Julian McAuley ⋅ Zexue He

PRISON: Unmasking the Criminal Potential of Large Language Models

Xinyi Wu ⋅ Geng Hong ⋅ Pei Chen ⋅ Yueyue Chen ⋅ Xudong Pan ⋅ Min Yang

Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review

Sungduk Yu ⋅ Man Luo ⋅ Avinash Madasu ⋅ Vasudev Lal ⋅ Phillip Howard

Differentially Private Equilibrium Finding in Polymatrix Games

Mingyang Liu ⋅ Gabriele Farina ⋅ Asuman Ozdaglar

Self-Destructive Language Models

Yuhui Wang ⋅ Rongyi Zhu ⋅ Ting Wang

LLMS ON TRIAL: Evaluating Judicial Fairness For Large Language Models

Yiran HU ⋅ Zongyue Xue ⋅ Haitao Li ⋅ Siyuan Zheng ⋅ Qingjing Chen ⋅ Shaochun Wang ⋅ Xihan Zhang ⋅ Ning Zheng ⋅ Yun Liu ⋅ Qingyao Ai ⋅ Yiqun LIU ⋅ Charles L. A. Clarke ⋅ Weixing Shen

Superficial Safety Alignment Hypothesis

Jianwei Li ⋅ Jung-Eun Kim

Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness

Erfan Shayegani ⋅ Keegan Hines ⋅ Yue Dong ⋅ Nael Abu-Ghazaleh ⋅ Roman Lutz ⋅ Spencer Whitehead ⋅ Vidhisha Balachandran ⋅ Besmira Nushi ⋅ Vibhav Vineet

Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models

Jiaying Wu ⋅ Fanxiao Li ⋅ Zihang Fu ⋅ Min-Yen Kan ⋅ Bryan Hooi

XIL: Cross-Expanding Incremental Learning

Heayoun Choi ⋅ Hyundong Jin ⋅ Eunwoo Kim

IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation

Sunghyun Baek ⋅ Jaemyung Yu ⋅ Seunghee Koh ⋅ Minsu Kim ⋅ Hyeonseong Jeon ⋅ Junmo Kim

Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning

Dexia Chen ⋅ Qianjie Zhu ⋅ Weibing Li ⋅ Yue Yu ⋅ Tong Zhang ⋅ Ruixuan Wang

Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation

Wei Chen ⋅ Xingyu Guo ⋅ Shuang Li ⋅ Zhao Zhang ⋅ Yan Zhong ⋅ Fuzhen Zhuang ⋅ deqing wang

Study of Training Dynamics for Memory-Constrained Fine-Tuning

Aël Quélennec ⋅ Nour Hezbri ⋅ Pavlo Mozharovskyi ⋅ Van-Tam Nguyen ⋅ Enzo Tartaglione

Architecture-Agnostic Test-Time Adaptation via Backprop-Free Embedding Alignment

MA Xiao ⋅ Young D. Kwon ⋅ Pan Zhou ⋅ Dong Ma

PRISM: Progressive Robust Learning for Open-World Continual Category Discovery

Wei Feng ⋅ Sijin Zhou ⋅ Yiwen Jiang ⋅ Zongyuan Ge

Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation

Wei Chen ⋅ Xingyu Guo ⋅ Shuang Li ⋅ Yan Zhong ⋅ Zhao Zhang ⋅ Fuzhen Zhuang ⋅ Hongrui Liu ⋅ Libang Zhang ⋅ Guo Ye ⋅ HUIMEI HE

Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information

Nina Balcan ⋅ Martino Bernasconi ⋅ Matteo Castiglioni ⋅ Andrea Celli ⋅ Keegan Harris ⋅ Steven Wu

On the $O(1/T)$ Convergence of Alternating Gradient Descent–Ascent in Bilinear Games

Tianlong Nan ⋅ Shuvomoy Das Gupta ⋅ Garud Iyengar ⋅ Christian Kroer

COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences

Yixin Liu ⋅ Argyris Oikonomou ⋅ Weiqiang Zheng ⋅ Yang Cai ⋅ Arman Cohan

A Faster Parameter-Free Regret Matching Algorithm

Linjian Meng ⋅ Youzhi Zhang ⋅ Shangdong Yang ⋅ Wenbin Li ⋅ Tianyu Ding ⋅ Yang Gao

Convergence of Regret Matching in Potential Games and Constrained Optimization

Ioannis Anagnostides ⋅ Emanuel Tewolde ⋅ Brian Zhang ⋅ Ioannis Panageas ⋅ Vincent Conitzer ⋅ Tuomas Sandholm

Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models

Xuan Ding ⋅ Pengyu Tong ⋅ Ranjie Duan ⋅ Yunjian Zhang ⋅ Rui Sun ⋅ Yao Zhu

Memory-Statistics Tradeoff in Continual Learning with Structural Regularization

Haoran Li ⋅ Jingfeng Wu ⋅ Vladimir Braverman

Contextual Multi-Armed Bandits with Minimum Aggregated Revenue Constraints

Ahmed Ben Yahmed ⋅ Hafedh Ferchichi ⋅ Marc Abeille ⋅ Vianney Perchet

MLP Memory: A Retriever-Pretrained Memory for Large Language Models

Rubin Wei ⋅ Jiaqi Cao ⋅ Jiarui Wang ⋅ Jushi Kai ⋅ Qipeng Guo ⋅ Bowen Zhou ⋅ Zhouhan Lin

Interactive Learning of Single-Index Models via Stochastic Gradient Descent

Nived Rajaraman ⋅ Yanjun Han

Near Optimal Robust Federated Learning Against Data Poisoning Attack

Jingfan Yu ⋅ Zhixuan Fang

Efficient Turing Machine Simulation with Transformers

Qian Li ⋅ Yuyi Wang

Best-of-Majority: Minimax-Optimal Strategy for Pass@k Inference Scaling

Qiwei Di ⋅ Kaixuan Ji ⋅ Xuheng Li ⋅ Heyang Zhao ⋅ Quanquan Gu

Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods

Zhaiming Shen ⋅ Alexander Hsu ⋅ Rongjie Lai ⋅ Wenjing Liao

Learning Correlated Reward Models: Statistical Barriers and Opportunities

Yeshwanth Cherapanamjeri ⋅ Constantinos C Daskalakis ⋅ Gabriele Farina ⋅ Sobhan Mohammadpour

Incentives in Federated Learning with Heterogeneous Agents

Ariel Procaccia ⋅ Han Shao ⋅ Itai Shapira

A Near-Optimal Best-of-Both-Worlds Algorithm for Federated Bandits

Zicheng Hu ⋅ Zihao Wang ⋅ Cheng Chen

High-Dimensional Analysis of Single-Layer Attention for Sparse-Token Classification

Nicholas Barnfield ⋅ Hugo Cui ⋅ Yue Lu

Transformers as Unsupervised Learning Algorithms: A study on Gaussian Mixtures

Zhiheng Chen ⋅ Ruofan Wu ⋅ Guanhua Fang

Feedback-driven recurrent quantum neural network universality

Lukas Gonon ⋅ Rodrigo Martínez-Peña ⋅ Juan-Pablo Ortega

Towards Persistent Noise-Tolerant Active Learning of Regular Languages with Class Query

Lekai Chen ⋅ Ashutosh Trivedi ⋅ Alvaro Velasquez

Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model

Fuhao Li ⋅ Wenxuan Song ⋅ Han Zhao ⋅ Jingbo Wang ⋅ Pengxiang Ding ⋅ Donglin Wang ⋅ Long ZENG ⋅ Haoang Li

The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology

Aideen Fay ⋅ Inés García-Redondo ⋅ Qiquan Wang ⋅ Haim Dubossarsky ⋅ Anthea Monod

t-SNE Exaggerates Clusters, Provably

Noah Bergam ⋅ Szymon Snoeck ⋅ Nakul Verma

Aligner, Diagnose Thyself: A Meta-Learning Paradigm for Fusing Intrinsic Feedback in Preference Alignment

Mengyang Li ⋅ Pinlong Zhao ⋅ Zhong Zhang

Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs

Zhuowen Liang ⋅ Xiaotian LIN ⋅ Zhengxuan Zhang ⋅ Yuyu Luo ⋅ Haixun Wang ⋅ Nan Tang

Out of the Shadows: Exploring a Latent Space for Neural Network Verification

Lukas Koller ⋅ Tobias Ladner ⋅ Matthias Althoff

Small Transformers Don’t Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and Implications for Mechanistic Interpretability

Luca Baroni ⋅ Galvin Khara ⋅ Joachim Schaeffer ⋅ Marat Subkhankulov ⋅ Stefan Heimersheim

Characterizing Pattern Matching and Its Limits on Compositional Task Structures

Hoyeon Chang ⋅ Jinho Park ⋅ Hanseul Cho ⋅ Sohee Yang ⋅ Miyoung Ko ⋅ Hyeonbin Hwang ⋅ Seungpil Won ⋅ Dohaeng Lee ⋅ Youbin Ahn ⋅ Minjoon Seo

Decoupling Positional and Symbolic Attention in Transformers

Felipe Urrutia ⋅ Jorge Salas ⋅ Alexander Kozachinskiy ⋅ Cristian Calderon ⋅ Hector Pasten ⋅ Cristobal Rojas

Formal Mechanistic Interpretability: Automated Circuit Discovery with Provable Guarantees

Itamar Hadad ⋅ Guy Katz ⋅ Shahaf Bassan

Exploring Interpretability for Visual Prompt Tuning with Cross-layer Concepts

Yubin Wang ⋅ Xinyang Jiang ⋅ De Cheng ⋅ Xiangqian Zhao ⋅ Zilong Wang ⋅ Dongsheng Li ⋅ Cai Zhao

Concepts' Information Bottleneck Models

Karim Galliamov ⋅ Syed Muhammad Ahsan Raza Kazmi ⋅ Adil Khan ⋅ Adín Ramírez Rivera

Detecting Invariant Manifolds in ReLU-Based RNNs

Lukas Eisenmann ⋅ Alena Brändle ⋅ Zahra Monfared ⋅ Daniel Durstewitz

Sparse CLIP: Co-Optimizing Interpretability and Performance in Contrastive Learning

Chuan Qin ⋅ Constantin Venhoff ⋅ Sonia Joseph ⋅ Fanyi Xiao ⋅ Stefan Scherer

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

Siwei Wang ⋅ Yifei Shen ⋅ Haoran Sun ⋅ Shi Feng ⋅ Shang-Hua Teng ⋅ Li Dong ⋅ Yaru Hao ⋅ Wei Chen

Monotone Near-Zero-Sum Games: A Generalization of Convex-Concave Minimax

Ruichen Luo ⋅ Sebastian Stich ⋅ Krishnendu Chatterjee

Nearly Space-Optimal Graph and Hypergraph Sparsification in Insertion-Only Data Streams

Vincent Cohen-Addad ⋅ David Woodruff ⋅ Shenghao Xie ⋅ Samson Zhou

High-Probability Bounds for the Last Iterate of Clipped SGD

Savelii Chezhegov ⋅ Daniela Angela Parletta ⋅ Andrea Paudice ⋅ Eduard Gorbunov

On the stability of gradient descent with second order dynamics for time-varying cost functions

Travis E Gibson · Sawal Acharya · Anjali Parashar · Joseph Emilio Gaudio · Anuradha Annaswamy

Optimal Aggregation of LLM and PRM Signals for Efficient Test-Time Scaling

Peng Kuang ⋅ Yanli Wang ⋅ Xiaoyu Han ⋅ Yaowenqi Liu ⋅ Kaidi Xu ⋅ Haohan Wang

Singleton-Optimized Conformal Prediction

Tao Wang ⋅ Yan Sun ⋅ Edgar Dobriban

Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains

Yunrui Guan ⋅ Krishna Balasubramanian ⋅ Shiqian Ma

Branch and Bound Search for Exact MAP Inference in Credal Networks

Radu Marinescu ⋅ Fabio Cozman ⋅ Denis D. Mauá ⋅ Debarun Bhattacharjya ⋅ Junkyu Lee ⋅ Alexander Gray

Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond

Wei Guo ⋅ Molei Tao ⋅ Yongxin Chen

The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective

Michael Muehlebach ⋅ Zhiyu He ⋅ Michael Jordan

Learning What Matters Now: Dynamic Preference Inference under Contextual Shifts

Xianwei Cao ⋅ Dou Quan ⋅ Zhenliang Zhang ⋅ Shuang Wang

Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments

Junwoo Chang ⋅ Minwoo Park ⋅ Joohwan Seo ⋅ Roberto Horowitz ⋅ Jongmin Lee ⋅ Jongeun Choi

Optimal Robust Subsidy Policies for Irrational Agent in Principal-Agent MDPs

Bowen Hu ⋅ Yixin Tao

ACPBench Hard: Unrestrained Reasoning about Action, Change, and Planning

Harsha Kokel ⋅ Michael Katz ⋅ Kavitha Srinivas ⋅ Shirin Sohrabi

A New Approach to Controlling Linear Dynamical Systems

Anand Brahmbhatt ⋅ Gon Buzaglo ⋅ Sofiia Druchyna ⋅ Elad Hazan

Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment

Cyrus Cousins ⋅ Vijay Keswani ⋅ Vincent Conitzer ⋅ Hoda Heidari ⋅ Jana Borg ⋅ Walter Sinnott-Armstrong

Sample Complexity and Representation Ability of Test-time Scaling Paradigms

Baihe Huang ⋅ Shanda Li ⋅ Tianhao Wu ⋅ Yiming Yang ⋅ Ameet Talwalkar ⋅ Kannan Ramchandran ⋅ Michael Jordan ⋅ Jiantao Jiao

Preference-based Policy Optimization from Sparse-reward Offline Dataset

Wenjie Qiu ⋅ Guofeng Cui ⋅ Shicheng Liu ⋅ Yuanlin Duan ⋅ He Zhu

Q-Learning with Adjoint Matching

Qiyang Li ⋅ Sergey Levine

Robust Reward Modeling via Causal Rubrics

Pragya Srivastava ⋅ Harman Singh ⋅ Rahul Madhavan ⋅ Gandharv Patil ⋅ Sravanti Addepalli ⋅ Arun Suggala ⋅ Rengarajan Aravamudhan ⋅ Soumya Sharma ⋅ Anirban Laha ⋅ Aravindan Raghuveer ⋅ Karthikeyan Shanmugam ⋅ Doina Precup

Nudging the Boundaries of LLM Reasoning

Justin Chen ⋅ XIANGYU PENG ⋅ Prafulla Kumar Choubey ⋅ Kung-Hsiang Huang ⋅ Jiaxin Zhang ⋅ Mohit Bansal ⋅ Chien-Sheng Wu

Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning

Qingjun Wang ⋅ Hongtu Zhou ⋅ Hang Yu ⋅ Junqiao Zhao ⋅ Yanping Zhao ⋅ Chen Ye ⋅ Ziqiao Wang ⋅ Guang Chen

Sample Efficient Offline RL via T-Symmetry Enforced Latent State-Stitching

Peng Cheng ⋅ Zhihao Wu ⋅ Jianxiong Li ⋅ Ziteng He ⋅ Haoran Xu ⋅ Wei Sun ⋅ Youfang Lin ⋅ Yunxin Liu ⋅ Xianyuan Zhan

The State of Reinforcement Finetuning for Transformer-based Agents

Shengchao Hu ⋅ Peng Wang ⋅ Guozheng Ma ⋅ Shi Fu ⋅ Li Shen ⋅ Ya Zhang ⋅ Dacheng Tao

Peak-Return Greedy Slicing: Subtrajectory Selection for Transformer-based Offline RL

Zhiwei XU ⋅ Miduo Cui ⋅ Dapeng Li ⋅ Zhihao Liu ⋅ Haifeng Zhang ⋅ Hangyu Mao ⋅ Guoliang Fan ⋅ Bin Zhang

Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization

Simon Zhan ⋅ Qingyuan Wu ⋅ Zhaofeng Wang ⋅ Frank Yang ⋅ Xiangyu Shi ⋅ Chao Huang ⋅ Qi Zhu

Value Flows

Perry Dong ⋅ Chongyi Zheng ⋅ Chelsea Finn ⋅ Dorsa Sadigh ⋅ Benjamin Eysenbach

Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning

Shenao Zhang ⋅ Yaqing Wang ⋅ Yinxiao Liu ⋅ Tianqi Liu ⋅ Peter Grabowski ⋅ Eugene Ie ⋅ Zhaoran Wang ⋅ Yunxuan Li

Squeeze the Soaked Sponge: Efficient Off-policy RFT for Large Language Model

Jing Liang ⋅ Jinyi Liu ⋅ Yi Ma ⋅ Hongyao Tang ⋅ YAN ZHENG ⋅ Shuyue Hu ⋅ LEI BAI ⋅ Jianye Hao

Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents

Guoqing Wang ⋅ Sunhao Dai ⋅ Guangze Ye ⋅ Zeyu Gan ⋅ Wei Yao ⋅ Yong Deng ⋅ Xiaofeng Wu ⋅ zhenzhe ying

Trust-Region Adaptive Policy Optimization

Mingyu Su ⋅ Jian Guan ⋅ Yuxian Gu ⋅ Minlie Huang ⋅ Hongning Wang

MARL2Grid-TR: A Multi-Agent RL Benchmark in Power Grid Operations

Enrico Marchesini ⋅ Eva Boguslawski ⋅ Alessandro Leite ⋅ Christopher Amato ⋅ Matthieu DUSSARTRE ⋅ Marc Schoenauer ⋅ Benjamin Donnot ⋅ Priya Donti

GEPO: Group Expectation Policy Optimization for Stable Heterogeneous Reinforcement Learning

Han Zhang ⋅ Ruibin Zheng ⋅ ZEXUAN YI ⋅ Zhuo Zhang ⋅ Hanyang Peng ⋅ HUI WANG ⋅ Jiayin Qi ⋅ Binxing Fang ⋅ Ruifeng Xu ⋅ Yue Yu

Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models

Pranaya Jajoo ⋅ Harshit Sikchi ⋅ Siddhant Agarwal ⋅ Amy Zhang ⋅ Scott Niekum ⋅ Martha White

Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation

Xintong Duan ⋅ Yutong (Kelly) He ⋅ Fahim Tajwar ⋅ Russ Salakhutdinov ⋅ Zico Kolter ⋅ Jeff Schneider

Chart Deep Research in LVLMs via Parallel Relative Policy Optimization

Jiajin Tang ⋅ Yang Gao ⋅ Wenjie Wang ⋅ Sibei Yang ⋅ Xing Chen

Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning

Xichen Zhang ⋅ Sitong Wu ⋅ Yinghao Zhu ⋅ Haoru Tan ⋅ Shaozuo Yu ⋅ Ziyi He ⋅ Jiaya Jia

When Greedy Wins: Emergent Exploitation Bias in Meta-Bandit LLM Training

Sanxing Chen ⋅ Xiaoyin Chen ⋅ Yukun Huang ⋅ Roy Xie ⋅ Bhuwan Dhingra

From Parameters to Behaviors: Unsupervised Compression of the Policy Space

Davide Tenedini ⋅ Riccardo Zamboni ⋅ Mirco Mutti ⋅ Marcello Restelli

GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies

He Zhang ⋅ Ying Sun ⋅ Hui Xiong

Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs

Kang An ⋅ Ziliang Wang ⋅ Xuhui Zheng ⋅ FaQiang Qian ⋅ WeiKun Zhang ⋅ Yuhang Wang ⋅ Wu Yichao

Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion

Dan Haramati ⋅ Carl Qi ⋅ Tal Daniel ⋅ Amy Zhang ⋅ Aviv Tamar ⋅ George D Konidaris

Guided Policy Optimization under Partial Observability

yueheng li ⋅ Guangming Xie ⋅ Zongqing Lu

Safe Exploration via Policy Priors

Manuel Wendl ⋅ Yarden As ⋅ Manish Prajapat ⋅ Anton Pollak ⋅ Stelian Coros ⋅ Andreas Krause

Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denosing Diffusion Process

JIAYI CHEN ⋅ Wenxuan Song ⋅ Pengxiang Ding ⋅ Ziyang Zhou ⋅ Han Zhao ⋅ Barrett Tang ⋅ Donglin Wang ⋅ Haoang Li

$\textbf{Re}^{2}$: Unlocking LLM Reasoning via Reinforcement Learning with Re-solving

Pinzheng Wang ⋅ Shuli Xu ⋅ Juntao Li ⋅ Yu Luo ⋅ Dong Li ⋅ Jianye Hao ⋅ Min Zhang

Entropy-preserving reinforcement learning

Aleksei Petrenko ⋅ Ben Lipkin ⋅ Kevin Chen ⋅ Erik Wijmans ⋅ Marco Cusumano-Towner ⋅ Raja Giryes ⋅ Philipp Krähenbühl

Distributions as Actions: A Unified Framework for Diverse Action Spaces

Jiamin He ⋅ A. Rupam Mahmood ⋅ Martha White

Iterated Q-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning

Théo Vincent · Daniel Palenicek · Boris Belousov · Jan Peters · Carlo D'Eramo

R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability

Runyu Lu ⋅ Ruochuan Shi ⋅ Yuanheng Zhu ⋅ Dongbin Zhao

Revenue Maximization Under Sequential Price Competition Via The Estimation Of $s$-Concave Demand Functions

Daniele Bracale ⋅ Moulinath Banerjee ⋅ Yuekai Sun ⋅ Cong Shi

Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction

Zain Ulabedeen Farhat ⋅ Debamita Ghosh ⋅ George Atia ⋅ Yue Wang

Inter-Agent Relative Representations for Multi-Agent Option Discovery

Raul Steleac ⋅ Mohan Sridharan ⋅ David Abel

Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards

Shirley Wu ⋅ Parth Sarthi ⋅ Shiyu Zhao ⋅ Aaron Lee ⋅ Herumb Shandilya ⋅ Adrian Mladenic Grobelnik ⋅ Nurendra Choudhary ⋅ Edward Huang ⋅ Karthik Subbian ⋅ Linjun Zhang ⋅ Diyi Yang ⋅ James Y Zou ⋅ Jure Leskovec

Multi-Action Self-Improvement For Neural Combinatorial Optimization

Laurin Luttmann ⋅ Lin Xie

Multi-objective Large Language Model Alignment with Hierarchical Experts

Zhuo Li ⋅ Guodong DU ⋅ Weiyang Guo ⋅ Yigeng Zhou ⋅ Xiucheng Li ⋅ Wenya Wang ⋅ Fangming Liu ⋅ Yequan Wang ⋅ Deheng Ye ⋅ Min Zhang ⋅ Jing Li

Contextual Causal Bayesian Optimisation

Vahan Arsenyan ⋅ Antoine Grosnit ⋅ Haitham Bou Ammar ⋅ Arnak Dalalyan

Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward

Xinyu Tang ⋅ Zhenduo Zhang ⋅ Yurou Liu ⋅ Xin Zhao ⋅ zujie wen ⋅ Zhiqiang Zhang ⋅ JUN ZHOU

From Embedding to Control: Representations for Stochastic Multi-Object Systems

Xiaoyuan Cheng ⋅ Yiming Yang ⋅ Wei Jiang ⋅ Chenyang Yuan ⋅ Zhuo Sun ⋅ Yukun Hu

Enhancing Language Model Reasoning with Structured Multi-Level Modeling

Siheng Xiong ⋅ Ali Payani ⋅ Faramarz Fekri

Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents

Yaorui SHI ⋅ Yuxin Chen ⋅ Siyuan Wang ⋅ Sihang Li ⋅ Hengxing Cai ⋅ Qi GU ⋅ Xiang Wang ⋅ An Zhang

Accelerated Learning with Linear Temporal Logic using Differentiable Simulation

Alper Kamil Bozkurt ⋅ Calin Belta ⋅ Ming Lin

Getting Your LLMs Ready for Reinforcement Learning with Lightweight SFT

Xinran Li ⋅ Guangda Huzhang ⋅ Siqi Shen ⋅ Qing-Guo Chen ⋅ Zhao Xu ⋅ Weihua Luo ⋅ Kaifu Zhang ⋅ Jun Zhang

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities

Thomas Schmied ⋅ Jörg Bornschein ⋅ Jordi Grau-Moya ⋅ Markus Wulfmeier ⋅ Razvan Pascanu

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Chenxi Whitehouse ⋅ Tianlu Wang ⋅ Ping Yu ⋅ Xian Li ⋅ Jason E Weston ⋅ Ilia Kulikov ⋅ Swarnadeep Saha

Provable and Practical In-Context Policy Optimization for Self-Improvement

Tianrun Yu ⋅ Yuxiao Yang ⋅ Zhaoyang Wang ⋅ Kaixiang Zhao ⋅ Porter Jenkins ⋅ Xuchao Zhang ⋅ Chetan Bansal ⋅ Huaxiu Yao ⋅ Weitong Zhang

Tina: Tiny Reasoning Models via LoRA

Shangshang Wang ⋅ Julian Asilis ⋅ Ömer Faruk Akgül ⋅ Enes Bilgin ⋅ Ollie Liu ⋅ Willie Neiswanger

PEAR: Phase Entropy Aware Reward for Efficient Reasoning

Chen Huang ⋅ Wei Lu ⋅ Wenxuan Zhang

Breaking Safety Paradox with Feasible Dual Policy Iteration

Yujie Yang ⋅ Jinglin Teh ⋅ Ziyu Lin ⋅ Kaicheng Yu ⋅ Tao Zhang ⋅ Shengbo Li

Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving

Chang Su ⋅ Zhongkai Hao ⋅ Zhizhou Zhang ⋅ Zeyu Xia ⋅ Youjia Wu ⋅ Hang Su ⋅ Jun Zhu

Strategic Scaling of Test-Time Compute: A Bandit Learning Approach

Bowen Zuo ⋅ Yinglun Zhu

Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems

Yuhao Wang ⋅ Wenjie Qu ⋅ Shengfang ZHAI ⋅ Yanze Jiang ⋅ Liu Zichen ⋅ Yue Liu ⋅ Yinpeng Dong ⋅ Jiaheng Zhang

Generalization Below the Edge of Stability: The Role of Data Geometry

Tongtong Liang ⋅ Alexander Cloninger ⋅ Rahul Parhi ⋅ Yu-Xiang Wang

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

Yifu Yuan ⋅ Haiqin Cui ⋅ Yibin Chen ⋅ Zibin Dong ⋅ Fei Ni ⋅ Longxin Kou ⋅ Jinyi Liu ⋅ Pengyi Li ⋅ YAN ZHENG ⋅ Jianye Hao

Revisiting Long-context Modeling from Context Denoising Perspective

Zecheng Tang ⋅ Ji Baibei ⋅ Juntao Li ⋅ Lijun Wu ⋅ Haijia Gui ⋅ Min Zhang

Lossless Vocabulary Reduction for Auto-Regressive Language Models

Daiki Chijiwa ⋅ Taku Hasegawa ⋅ Kyosuke Nishida ⋅ Shin'ya Yamaguchi ⋅ Tomoya Ohba ⋅ Tamao Sakao ⋅ Susumu Takeuchi

Gauge Flow Matching: Efficient Constrained Generative Modeling over General Convex Set and Beyond

Xinpeng Li ⋅ Enming Liang ⋅ Minghua Chen

Efficient-LVSM: Faster, Cheaper, and Better Large View Synthesis Model via Decoupled Co-Refinement Attention

Xiaosong Jia ⋅ Yihang Sun ⋅ Junqi You ⋅ songbur wong ⋅ Zichen Zou ⋅ Junchi Yan ⋅ Zuxuan Wu ⋅ Yu-Gang Jiang

PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment

Qi Yu ⋅ Zhichen Zeng ⋅ Yuchen Yan ⋅ Zhining Liu ⋅ Baoyu Jing ⋅ Ruizhong Qiu ⋅ Ariful Azad ⋅ Hanghang Tong

CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving

Shuhang Chen ⋅ Yunqiu Xu ⋅ Junjie Xie ⋅ Aojun Lu ⋅ Tao Feng ⋅ ZEYING HUANG ⋅ ZHANG NING ⋅ Yi Sun ⋅ Yi Yang ⋅ Hangjie Yuan

Entropy-Monitored Kernelized Token Distillation for Audio-Visual Compression

Hyoungseob Park ⋅ Lipeng Ke ⋅ Pritish Mohapatra ⋅ Huajun Ying ⋅ sankar venkataraman ⋅ Alex Wong

TNT: Improving Chunkwise Training for Test-Time Memorization

Zeman Li ⋅ Ali Behrouz ⋅ Yuan Deng ⋅ Peilin Zhong ⋅ Praneeth Kacham ⋅ Mahdi Karami ⋅ Meisam Razaviyayn ⋅ Vahab Mirrokni

Robust Spiking Neural Networks Against Adversarial Attacks

Shuai Wang ⋅ Malu Zhang ⋅ Yulin Jiang ⋅ Dehao Zhang ⋅ Ammar Belatreche ⋅ Yu Liang ⋅ Yimeng Shan ⋅ Zijian Zhou ⋅ Yang Yang ⋅ Haizhou Li

Unified Analyses for Hierarchical Federated Learning: Topology Selection under Data Heterogeneity

Ziyi Zhou ⋅ Yipeng Li ⋅ Xinchen Lyu

Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts

Zhongjian Qiao ⋅ Rui Yang ⋅ Jiafei Lyu ⋅ Xiu Li ⋅ Zhongxiang Dai ⋅ Zhuoran Yang ⋅ Siyang Gao ⋅ Shuang Qiu

Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback

Amirhossein Afsharrad ⋅ Ruida Zhou ⋅ Luca Viano ⋅ Sanjay Lall ⋅ Mohammad Ghavamzadeh

MTVCraft: Tokenizing 4D Motion for Arbitrary Character Animation

Yanbo Ding ⋅ Xirui Hu ⋅ Guo Zhi ⋅ Yan Zhang ⋅ Xinrui Wang ⋅ Zhixiang He ⋅ Chi Zhang ⋅ Yali Wang ⋅ Xuelong Li

X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Jinliang Zheng ⋅ Jianxiong Li ⋅ Zhihao Wang ⋅ Dongxiu Liu ⋅ Xirui Kang ⋅ Yuchun Feng ⋅ Yinan Zheng ⋅ Jiayin Zou ⋅ Yilun Chen ⋅ Jia Zeng ⋅ Tai Wang ⋅ Ya-Qin Zhang ⋅ Jingjing Liu ⋅ Xianyuan Zhan

Unifying Formal Explanations: A Complexity-Theoretic Perspective

Shahaf Bassan ⋅ Xuanxiang Huang ⋅ Guy Katz

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

Hongli Yu ⋅ Tinghong Chen ⋅ Jiangtao Feng ⋅ Jiangjie Chen ⋅ Weinan Dai ⋅ Qiying Yu ⋅ Ya-Qin Zhang ⋅ Wei-Ying Ma ⋅ Jingjing Liu ⋅ Mingxuan Wang ⋅ Hao Zhou

Reinforcing Diffusion Models by Direct Group Preference Optimization

Yihong Luo ⋅ Tianyang Hu ⋅ Jing Tang

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Xumeng Wen ⋅ Zihan Liu ⋅ Shun Zheng ⋅ Shengyu Ye ⋅ Zhirong Wu ⋅ Yang Wang ⋅ Zhijian Xu ⋅ Xiao Liang ⋅ Junjie Li ⋅ Ziming Miao ⋅ Jiang Bian ⋅ Mao Yang

Prior-based Noisy Text Data Filtering: Fast and Strong Alternative For Perplexity

Yeongbin Seo ⋅ Gayoung Kim ⋅ Jaehyung Kim ⋅ Jinyoung Yeo

Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction

Yong Lin ⋅ Shange Tang ⋅ Bohan Lyu ⋅ Ziran Yang ⋅ Jui-Hui Chung ⋅ Haoyu Zhao ⋅ Lai Jiang ⋅ Yihan Geng ⋅ Jiawei Ge ⋅ Jingruo Sun ⋅ Jiayun Wu ⋅ Jiri Gesi ⋅ Ximing Lu ⋅ David Acuna ⋅ Kaiyu Yang ⋅ Hongzhou Lin ⋅ Yejin Choi ⋅ Danqi Chen ⋅ Sanjeev Arora ⋅ Chi Jin

UNDERSTANDING TRANSFORMERS FOR TIME SERIES FORECASTING: A CASE STUDY ON MOIRAI

Yu-Hsuan Wu ⋅ Yihan He ⋅ Yuan Cao ⋅ Jianqing Fan ⋅ Han Liu

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Zhengwei Tao ⋅ Jialong Wu ⋅ Wenbiao Yin ⋅ Pu Wu ⋅ Junkai Zhang ⋅ Baixuan Li ⋅ Haiyang SHEN ⋅ Kuan Li ⋅ Liwen Zhang ⋅ Xinyu Wang ⋅ Wentao Zhang ⋅ Yong Jiang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Jingren Zhou

ST-SimDiff: Balancing Spatiotemporal Similarity and Difference for Efficient Video Understanding with MLLMs

Bingjun Luo ⋅ Tony Wang ⋅ Chaoqi Chen ⋅ Xinpeng Ding

Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels

Zhepeng Cen ⋅ Haolin Chen ⋅ Shiyu Wang ⋅ Zuxin Liu ⋅ Zhiwei Liu ⋅ DING ZHAO ⋅ Caiming Xiong ⋅ Huan Wang ⋅ Weiran Yao

Thyme: Think Beyond Images

YiFan Zhang ⋅ Xingyu Lu ⋅ Shukang Yin ⋅ Chaoyou Fu ⋅ Wei Chen ⋅ Xiao Hu ⋅ Bin Wen ⋅ Kaiyu Jiang ⋅ Changyi Liu ⋅ Tianke Zhang ⋅ Haonan fan ⋅ Kaibing Chen ⋅ Jiankang Chen ⋅ Haojie Ding ⋅ Kaiyu Tang ⋅ Zhang Zhang ⋅ Liang Wang ⋅ Fan Yang ⋅ Tingting Gao ⋅ Guorui Zhou

$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers

Benjamin Thérien ⋅ Charles-Étienne Joseph ⋅ Boris Knyazev ⋅ Edouard Oyallon ⋅ Irina Rish ⋅ Eugene Belilovsky

DND: Boosting Large Language Models with Dynamic Nested Depth

Tieyuan Chen ⋅ Xiaodong Chen ⋅ Haoxing Chen ⋅ Zhenzhong Lan ⋅ Weiyao Lin ⋅ Jianguo Li

Spatially Guided Training for Vision-Language-Action Model

Jinhui Ye ⋅ Fangjing Wang ⋅ Ning Gao ⋅ Junqiu Yu ⋅ Yangkun Zhu ⋅ Bin Wang ⋅ Jinyu Zhang ⋅ Weiyang Jin ⋅ Yanwei Fu ⋅ Feng Zheng ⋅ Yilun Chen ⋅ Jiangmiao Pang

Scaling Agent Learning via Experience Synthesis

Zhaorun Chen ⋅ Zhuokai Zhao ⋅ Kai Zhang ⋅ Bo Liu ⋅ Qi Qi ⋅ Yifan Wu ⋅ Tarun Kalluri ⋅ Xuefei Cao ⋅ Yuanhao Xiong ⋅ Haibo Tong ⋅ Huaxiu Yao ⋅ Hengduo Li ⋅ Jiacheng Zhu ⋅ Xian Li ⋅ Dawn Song ⋅ Bo Li ⋅ Jason E Weston ⋅ Dat Huynh

SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation

Xingtong Ge ⋅ Xin Zhang ⋅ Tongda Xu ⋅ Yi Zhang ⋅ Xinjie Zhang ⋅ Yan Wang ⋅ Jun Zhang

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Mike Merrill ⋅ Alexander Shaw ⋅ Nicholas Carlini ⋅ Boxuan Li ⋅ Harsh Raj ⋅ Ivan Bercovich ⋅ Lin Shi ⋅ Jeong Shin ⋅ Thomas Walshe ⋅ E. Kelly Buchanan ⋅ Junhong Shen ⋅ Guanghao Ye ⋅ Haowei Lin ⋅ Jason Poulos ⋅ Maoyu Wang ⋅ Marianna Nezhurina ⋅ Di Lu ⋅ Orfeas Menis Mastromichalakis ⋅ Zhiwei Xu ⋅ Zizhao Chen ⋅ Yue Liu ⋅ Robert Zhang ⋅ Leon Liangyu Chen ⋅ Anurag Kashyap ⋅ Jan-Lucas Uslu ⋅ Jeffrey Li ⋅ Jianbo Wu ⋅ Minghao Yan ⋅ Song Bian ⋅ Vedang Sharma ⋅ Ke Sun ⋅ Steven Dillmann ⋅ Akshay Anand ⋅ Andrew Lanpouthakoun ⋅ Bardia Koopah ⋅ Changran Hu ⋅ Etash Guha ⋅ Gabriel Dreiman ⋅ Jiacheng Zhu ⋅ Karl Krauth ⋅ Li Zhong ⋅ Niklas Muennighoff ⋅ Robert Amanfu ⋅ Shangyin Tan ⋅ Shreyas Pimpalgaonkar ⋅ Tushar Aggarwal ⋅ Xiangning Lin ⋅ Xin Lan ⋅ Xuandong Zhao ⋅ Yiqing Liang ⋅ Yuanli Wang ⋅ Zilong (Ryan) Wang ⋅ Changzhi Zhou ⋅ David Heineman ⋅ Hange Liu ⋅ Harsh Trivedi ⋅ John Yang ⋅ Junhong Lin ⋅ Manish Shetty ⋅ Michael Yang ⋅ Nabil Omi ⋅ Negin Raoof ⋅ Shanda Li ⋅ Terry Yue Zhuo ⋅ Wuwei Lin ⋅ Yiwei Dai ⋅ Yuxin Wang ⋅ Wenhao Chai ⋅ Shang Zhou ⋅ Dariush Wahdany ⋅ Ziyu She ⋅ Jiaming Hu ⋅ Zhikang Dong ⋅ Yuxuan Zhu ⋅ Sasha Cui ⋅ Ahson Saiyed ⋅ Arinbjörn Kolbeinsson ⋅ Christopher Rytting ⋅ Ryan Marten ⋅ Yixin Wang ⋅ Jenia Jitsev ⋅ Alex Dimakis ⋅ Andy Konwinski ⋅ Ludwig Schmidt

How Text Quality Interventions Reshape Neural Scaling Laws for LLMs: Empirical Study

Newsha Ardalani ⋅ Feiyang Kang ⋅ Michael Kuchnik ⋅ Mostafa Elhoushi ⋅ Shubho Sengupta ⋅ Shang-Wen Li ⋅ Carole-Jean Wu

Efficient Differentiable Contact Model with Long-range Influence

XIAOHAN YE ⋅ Kui Wu ⋅ Taku Komura ⋅ zherong pan

From Assistant to Independent Developer — Are GPTs Ready for Software Development?

Dezhi Ran ⋅ Yuan Cao ⋅ Mengzhou Wu ⋅ Simin Chen ⋅ Yuzhe Guo ⋅ Jun Ren ⋅ Zihe Song ⋅ Hao Yu ⋅ Jialei Wei ⋅ Linyi Li ⋅ Wei Yang ⋅ Baishakhi Ray ⋅ Tao Xie

Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive Evaluation

Xinhao Zhong ⋅ Shuoyang Sun ⋅ Xulin Gu ⋅ Chenyang Zhu ⋅ Bin Chen ⋅ Yaowei Wang

DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment

Hao Wang ⋅ Licheng Pan ⋅ Yuan Lu ⋅ Zhixuan Chu ⋅ Xiaoxi Li ⋅ Shuting He ⋅ Zi Chan ⋅ Qingsong Wen ⋅ Haoxuan Li ⋅ Zhouchen Lin

DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Kaiwen Zheng ⋅ Huayu Chen ⋅ Haotian Ye ⋅ Haoxiang Wang ⋅ Qinsheng Zhang ⋅ Kai Jiang ⋅ Hang Su ⋅ Stefano Ermon ⋅ Jun Zhu ⋅ Ming-Yu Liu

LogiConBench: Benchmarking Logical Consistencies of LLMs

Zheng Chen ⋅ Chuan Zhou ⋅ Fengxiang Cheng ⋅ Tin Po Yip ⋅ Fenrong Liu ⋅ Yisen Wang ⋅ Jiajun Chai ⋅ Xiaohan Wang ⋅ Guojun Yin ⋅ Wei Lin ⋅ Bo Li ⋅ Haoxuan Li ⋅ Zhouchen Lin

Grounding and Enhancing Informativeness and Utility in Dataset Distillation

Shaobo Wang ⋅ Yantai Yang ⋅ Guo Chen ⋅ Peiru Li ⋅ Kaixin Li ⋅ Yufa Zhou ⋅ Zhaorun Chen ⋅ Linfeng Zhang

Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners

Xin Xu ⋅ Clive Bai ⋅ Kai Yang ⋅ Tianhao Chen ⋅ Yang Wang ⋅ Saiyong Yang ⋅ Can Yang

Boosting Multi-Domain Reasoning of LLMs via Curvature-Guided Policy Optimization

Xize Liang ⋅ Lin Yang ⋅ Jie Wang ⋅ Rui Liu ⋅ Yang Lu ⋅ Jinliang Zeng ⋅ Hanzhu Chen ⋅ Dong Li ⋅ Jianye Hao

ProSafePrune: Projected Safety Pruning for Mitigating Over-Refusal in LLMs

Zijun Chen ⋅ Wenbo Hu ⋅ Ya Li ⋅ Lei Miao ⋅ Guoping Hu ⋅ Richang Hong

Understanding the Mechanisms of Fast Hyperparameter Transfer

Nikhil Ghosh ⋅ Denny Wu ⋅ Alberto Bietti

Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models

Yanjiang Liu ⋅ Shuheng Zhou ⋅ Yaojie Lu ⋅ Huijia Zhu ⋅ Weiqiang Wang ⋅ Hongyu Lin ⋅ Ben He ⋅ Xianpei Han ⋅ Le Sun

Transfer Learning in Infinite Width Feature Learning Networks

Clarissa Lauditi ⋅ Blake Bordelon ⋅ Cengiz Pehlevan

Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics

Aniketh Iyengar ⋅ Jiaqi Han ⋅ Pengwei Sun ⋅ Mingjian Jiang ⋅ Jianwen Xie ⋅ Stefano Ermon

Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking

Zhengwei Tao ⋅ Haiyang SHEN ⋅ Baixuan Li ⋅ Wenbiao Yin ⋅ Jialong Wu ⋅ Kuan Li ⋅ Zhongwang Zhang ⋅ Huifeng Yin ⋅ Rui Ye ⋅ Yong Jiang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Jingren Zhou ⋅ Wentao Zhang ⋅ Yun Ma ⋅ Zhiqiang Gao

ArtUV: Artist-style UV Unwrapping

yuguang chen ⋅ Xinhai Liu ⋅ YANG LI ⋅ Victor Cheung ⋅ Zhuo Chen ⋅ Dongyu Zhang ⋅ Chunchao Guo

ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization

Guoxin Chen ⋅ Wu Jing ⋅ Xinjie Chen ⋅ Xin Zhao ⋅ Ruihua Song ⋅ Chengxi Li ⋅ Kai Fan ⋅ Dayiheng Liu ⋅ Minpeng Liao

Learning Shrinks the Hard Tail: Training‑Dependent Inference Scaling in a Solvable Linear Model

Noam Levi

I2Mole: Interaction-aware Invariant Molecular Learning For Generalizable Property Prediction

Wenjie Du ⋅ Jiahui Zhang ⋅ Xuqiang Li ⋅ Sihan Wang ⋅ Zhengyang Zhou ⋅ Hongxin Xiang ⋅ Jun Xia ⋅ Ye Wei ⋅ Yang Wang

Phantom-Data: Towards a General Subject-Consistent Video Generation Dataset

Zhuowei Chen ⋅ Bingchuan Li ⋅ Tianxiang Ma ⋅ Lijie Liu ⋅ Mingcong Liu ⋅ Yunsheng Jiang ⋅ Li ⋅ Xinghui Li ⋅ Liyang Chen ⋅ SiYu Zhou ⋅ Qian HE ⋅ Xinglong Wu

FastVMT: Eliminating Redundancy in Video Motion Transfer

Yue Ma ⋅ Zhikai Wang ⋅ Tianhao Ren ⋅ Mingzhe Zheng ⋅ Hongyu Liu ⋅ Jiayi Guo ⋅ Kunyu Feng ⋅ Yuxuan Xue ⋅ Zixiang Zhao ⋅ Konrad Schindler ⋅ Qifeng Chen ⋅ Linfeng Zhang

We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning

Runqi Qiao ⋅ Qiuna qiuna ⋅ Peiqing Yang ⋅ Yanzi Wang ⋅ Xiaowan Wang ⋅ Enhui Wan ⋅ Guanting Dong ⋅ Shiqiang Lang ⋅ Sitong Zhou ⋅ Yida Xu ⋅ Yuchen Zeng ⋅ Jie Wang ⋅ Chong Sun ⋅ Chen Li ⋅ Honggang Zhang

Exchangeability of GNN Representations with Applications to Graph Retrieval

Kartik Nair ⋅ Indradyumna Roy ⋅ Soumen Chakrabarti ⋅ Anirban Dasgupta ⋅ Abir De

Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs

Haochen Wang ⋅ Yuhao Wang ⋅ Tao Zhang ⋅ Yikang Zhou ⋅ Yanwei Li ⋅ Jiacong Wang ⋅ Jiani zheng ⋅ Ye Tian ⋅ Jiahao Meng ⋅ Zilong Huang ⋅ Guangcan Mai ⋅ Anran Wang ⋅ Yunhai Tong ⋅ Zhuochen Wang ⋅ Xiangtai Li ⋅ Zhaoxiang Zhang

Sample-efficient evidence estimation of score based priors for model selection

Frederic Wang ⋅ Katherine Bouman

RefineBench: Evaluating Refinement Capability of Language Models via Checklists

Young-Jun Lee ⋅ Seungone Kim ⋅ Byung-Kwan Lee ⋅ Minkyeong Moon ⋅ Yechan Hwang ⋅ Jong Myoung Kim ⋅ Graham Neubig ⋅ Sean Welleck ⋅ Ho-Jin Choi

InnoGym: Benchmarking the Innovation Potential of AI Agents

Jintian Zhang ⋅ Kewei Xu ⋅ Jingsheng Zheng ⋅ Zhuoyun Yu ⋅ Yuqi Zhu ⋅ Yujie Luo ⋅ Lanning Wei ⋅ Shuofei Qiao ⋅ Lun Du ⋅ Da Zheng ⋅ Shumin Deng ⋅ Huajun Chen ⋅ Ningyu Zhang

Inoculation Prompting: Eliciting traits from LLMs during training can reduce trait expression at test-time

Daniel Tan ⋅ Anders Woodruff ⋅ Niels Warncke ⋅ Arun Jose ⋅ Maxime Riché ⋅ David Demitri Africa ⋅ Mia Taylor

Geometric Constraints for Small Language Models to Understand and Expand Scientific Taxonomies

Liri Fang ⋅ Dongqi Fu ⋅ Jiawei Han ⋅ Jingrui He ⋅ Vetle Torvik

Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance

Jiawen Zhang ⋅ Lipeng He ⋅ Kejia Chen ⋅ Jian Lou ⋅ Jian Liu ⋅ Xiaohu Yang ⋅ Ruoxi Jia

Where Did This Sentence Come From? Tracing Provenance in LLM Reasoning Distillation

kaiyuan liu ⋅ Shaotian Yan ⋅ Rui Miao ⋅ Bing Wang ⋅ Chen Shen ⋅ Jun Zhang ⋅ Jieping Ye

LiveClin: A Live Clinical Benchmark without Leakage

Xidong Wang ⋅ Guo shuqi ⋅ YUE SHEN ⋅ Junying Chen ⋅ Jian Wang ⋅ Jinjie Gu ⋅ Ping Zhang ⋅ Lei Liu ⋅ Wang Benyou

Reasoned Safety Alignment: Ensuring Jailbreak Defense via Answer-Then-Check

Chentao Cao ⋅ Xiaojun Xu ⋅ Bo Han ⋅ Hang Li

Reasoning in Space via Grounding in the World

Yiming Chen ⋅ Zekun Qi ⋅ Wenyao Zhang ⋅ Xin Jin ⋅ Li Zhang ⋅ Peidong Liu

In-Context Algorithm Emulation in Fixed-Weight Transformers

Jerry Yao-Chieh Hu ⋅ Hude Liu ⋅ Jennifer Zhang ⋅ Han Liu

InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents

Yaxin Du ⋅ Yuanshuo Zhang ⋅ Xiyuan Yang ⋅ Yifan Zhou ⋅ Cheng Wang ⋅ Gongyi Zou ⋅ Xianghe Pang ⋅ WenHao Wang ⋅ Menglan Chen ⋅ Shuo Tang ⋅ Siheng Chen

Oracle-efficient Hybrid Learning with Constrained Adversaries

Princewill Okoroafor ⋅ Robert Kleinberg ⋅ Michael Kim

Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering

Wei Ju ⋅ Siyu Yi ⋅ Kangjie Zheng ⋅ Yifan Wang ⋅ Ziyue Qiao ⋅ Li Shen ⋅ Yongdao Zhou ⋅ Xiaochun Cao ⋅ Jiancheng Lv

Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts

songping wang ⋅ Qinglong Liu ⋅ Yueming Lyu ⋅ Ning Li ⋅ Ziwen He ⋅ Caifeng Shan

Ctrl-World: A Controllable Generative World Model for Robot Manipulation

Yanjiang Guo ⋅ Lucy Shi ⋅ Jianyu Chen ⋅ Chelsea Finn

Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement

Chenyu Lin ⋅ Yilin Wen ⋅ Du Su ⋅ Hexiang Tan ⋅ Fei Sun ⋅ Muhan Chen ⋅ Chenfu Bao ⋅ Zhonghou Lv

Reasoning Language Model Inference Serving Unveiled: An Empirical Study

Qi Li ⋅ Junpan Wu ⋅ Xiang Liu ⋅ Yuxin Wang ⋅ Zeyu Li ⋅ Zhenheng Tang ⋅ Yuhan CHEN ⋅ Shaohuai Shi ⋅ Xiaowen Chu

Unified Vision–Language Modeling via Concept Space Alignment

Yifu QIU ⋅ Paul-Ambroise Duquenne ⋅ Holger Schwenk

Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation

Zhiwang Zhou ⋅ Yuandong Pu ⋅ Xuming He ⋅ Yidi Liu ⋅ Yixin Chen ⋅ Junchao Gong ⋅ Xiang Zhuang ⋅ Wanghan Xu ⋅ Qinglong Cao ⋅ SHIXIANG TANG ⋅ Yihao Liu ⋅ Wenlong Zhang ⋅ LEI BAI

Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking

Jinyi Han ⋅ Ying Huang ⋅ Ying Liao ⋅ Haiquan Zhao ⋅ Zishang Jiang ⋅ Xinyi Wang ⋅ Xikun Lu ⋅ Guanghao Zhou ⋅ Sihang Jiang ⋅ Jiaqing Liang ⋅ Weikang Zhou ⋅ Zeye Sun ⋅ Fei Yu ⋅ Yanghua Xiao

Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice

Jiachen (Tianhao) Wang ⋅ Tong Wu ⋅ Kaifeng Lyu ⋅ James Y Zou ⋅ Dawn Song ⋅ Ruoxi Jia ⋅ Prateek Mittal

Flock: A Knowledge Graph Foundation Model via Learning on Random Walks

Jinwoo Kim ⋅ Xingyue Huang ⋅ Krzysztof Olejniczak ⋅ Kyungbin Min ⋅ Michael Bronstein ⋅ Seunghoon Hong ⋅ Ismail I Ceylan

SimpleFold: Folding Proteins is Simpler than You Think

Yuyang Wang ⋅ Jiarui Lu ⋅ Navdeep Jaitly ⋅ Joshua Susskind ⋅ MIGUEL ANGEL BAUTISTA

Ready For General Agents? Let's test it.

Elron Bandel ⋅ Asaf Yehudai ⋅ Michal Shmueli-Scheuer

Flow Where You Want

Scott Hawley

Online Selective Conformal Inference: Errors and Solutions

Yusuf Sale · Aaditya Ramdas

Unifying Stable Optimization and Reference Regularization in RLHF

Li He ⋅ Qiang Qu ⋅ He Zhao ⋅ Stephen Wan ⋅ Dadong Wang ⋅ Lina Yao ⋅ Tongliang Liu

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Social

Afternoon Tea with Encord, Prolific and Modal

4:15 PM - 5:45 PM

Step away from the booths and join us for a relaxed afternoon tea - a chance to connect with fellow builders, researchers, and teams over coffee, tea, and great conversation. We’ll also be hosting informal office hours, where you can chat directly with our technical and research teams, ask questions, share ideas, and get hands-on guidance.

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Social

From IQ to AQ & EQ: Reimagining Real Estate with Agentic AI

Baoyuan Wang ⋅ Andy Martin

4:15 PM - 5:45 PM

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Social

Nomadic Video AI Social

Varun Krishnan ⋅ Akshay Gopalkrishnan

4:15 PM - 5:45 PM

Join us for an evening hosted by a team building video AI systems for real-world deployment, bringing together researchers, engineers, and builders working at the frontier of video AI. This is a relaxed, conversation-first gathering connecting people across robotics, self-driving, and embodied AI.

We’ll focus on a new shift in how video is used in real-world AI: moving beyond static labeling toward systems that can search, reason over, and validate events directly from raw footage. Discussions will explore approaches that combine vision-language models, motion understanding, and multi-stage validation to turn large-scale video into something you can actually act on.

No formal talks, just high-signal conversations with people actively building and deploying these systems.

The goal is to go beyond surface-level ideas and get into what it actually takes to make Physical AI work reliably in the real world. If you are working on autonomy, VLMs, or production AI systems, this is a chance to exchange ideas and shape what comes next.

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Remarks

Opening Ceremony + Awards

5:45 PM - 6:15 PM

Reception

6:15 PM - 8:00 PM