ICLR 2026 Saturday 04/25

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

8:00 AM - 5:30 PM

Invited Talk

Learning while developing: How infants acquire intelligent behavior

Karen E. Adolph

9:00 AM - 10:00 AM

Behavior is everything we do. With age and experience, infant behavior becomes more flexible, adaptive, and functional. More intelligent. How do infants acquire intelligent behavior? Babies are learning while developing. Advances in motor skills expand infants’ interactions with the environment—the parts of the environment they “touch” with eyes, hands, and body. In the course of everyday activity, infants acquire immense amounts of time-distributed, variable, error-filled practice for every type of foundational behavior that researchers study. Practice is largely spontaneous, self-motivated, and frequently not goal directed. Formal robot models suggest that infants’ natural practice regimen—replete with variability and errors—is optimally suited for building an intelligent behavioral system that responds adaptively to the constraints and opportunities of continually changing bodies and skills in an ever-changing world. I propose that open video sharing will speed progress toward understanding behavior and its development.

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Speaker Bio

KAREN ADOLPH is Julius Silver Professor of Psychology and Neuroscience and Professor of Applied Psychology and Child and Adolescent Psychiatry at NYU. She uses observable motor behaviors to study developmental processes. Adolph directs the Databrary.org video library and PLAY-project.org, and maintains the Datavyu.org video-annotation tool. She is an APA, APS, and AAAS Fellow and Past-President of ICIS. She received the Kurt Koffka Medal, Cattell Sabbatical Award, APF Fantz Memorial Award, APA Boyd McCandless Award, ICIS Young Investigator Award, FIRST and MERIT awards from NICHD, and five teaching awards from NYU.

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Oral

Oral Session 5A LLMs

10:30 AM - 12:00 PM

7 Events in this session

Diffusion Language Model Knows the Answer Before It Decodes

Pengxiang Li ⋅ Yefan Zhou ⋅ Dilxat Muhtar ⋅ Lu Yin ⋅ Shilin Yan ⋅ Li Shen ⋅ Yi Liang ⋅ Soroush Vosoughi ⋅ Shiwei Liu

On the Reasoning Abilities of Masked Diffusion Language Models

Anej Svete ⋅ Ashish Sabharwal

Planner Aware Path Learning in Diffusion Language Models Training

Zhangzhi Peng ⋅ Zachary Bezemek ⋅ Jarrid Rector-Brooks ⋅ Shuibai Zhang ⋅ Michael Bronstein ⋅ Anru Zhang ⋅ Joey Bose ⋅ Alexander Tong

Global Resolution: Optimal Multi-Draft Speculative Sampling via Convex Optimization

Rahul Thomas ⋅ Arka Pal

Overcoming Joint Intractability with Lossless Hierarchical Speculative Decoding

Yuxuan Zhou ⋅ Fei Huang ⋅ Heng Li ⋅ Fengyi Wu ⋅ Tianyu Wang ⋅ jianwei zhang ⋅ Junyang Lin ⋅ Zhi-Qi Cheng

$p\textrm{-less}$ Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding

Runyan Tan ⋅ Shuang Wu ⋅ Phillip Howard

Latent Speech-Text Transformer

Yen-Ju Lu ⋅ Yashesh Gaur ⋅ Wei Zhou ⋅ Benjamin Muller ⋅ Jesus Villalba ⋅ Najim Dehak ⋅ Luke Zettlemoyer ⋅ Gargi Ghosh ⋅ Mike Lewis ⋅ Srini Iyer ⋅ Duc Le

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Oral

Oral Session 5B Video and scene generation

10:30 AM - 12:00 PM

7 Events in this session

Stable Video Infinity: Infinite-Length Video Generation with Error Recycling

Wuyang Li ⋅ Wentao Pan ⋅ Po-Chien Luan ⋅ Yang Gao ⋅ Alexandre Alahi

Instilling an Active Mind in Avatars via Cognitive Simulation

Jianwen Jiang ⋅ Weihong Zeng ⋅ Zerong Zheng ⋅ Jiaqi Yang ⋅ Chao Liang ⋅ Wang Liao ⋅ Han Liang ⋅ Weifeng Chen ⋅ XING WANG ⋅ Yuan Zhang ⋅ Mingyuan Gao

FlashWorld: High-quality 3D Scene Generation within Seconds

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

MotionStream: Real-Time Video Generation with Interactive Motion Controls

Joonghyuk Shin ⋅ Zhengqi Li ⋅ Richard Zhang ⋅ Jun-Yan Zhu ⋅ Jaesik Park ⋅ Eli Shechtman ⋅ Xun Huang

EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning

Xuan Ju ⋅ Tianyu Wang ⋅ Yuqian Zhou ⋅ HE Zhang ⋅ Qing Liu ⋅ Cherry Zhao ⋅ Zhifei Zhang ⋅ Yijun Li ⋅ Yuanhao Cai ⋅ Shaoteng Liu ⋅ Daniil Pakhomov ⋅ Zhe Lin ⋅ Soo Ye Kim ⋅ Qiang Xu

$PhyWorldBench$: A Comprehensive Evaluation of Physical Realism in Text-to-Video Models

Jing Gu ⋅ Xian Liu ⋅ Yu Zeng ⋅ Ashwin Nagarajan ⋅ Fangrui Zhu ⋅ Daniel Hong ⋅ Yue Fan ⋅ Qianqi Yan ⋅ Kaiwen Zhou ⋅ Ming-Yu Liu ⋅ Xin Wang

TRACE: Your Diffusion Model is Secretly an Instance Edge Detector

Sanghyun Jo ⋅ Ziseok Lee ⋅ Wooyeol Lee ⋅ Jonghyun Choi ⋅ Jaesik Park ⋅ Kyungsu Kim

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Oral

Oral Session 5C Reinforcement learning II

10:30 AM - 12:00 PM

7 Events in this session

Semi-Supervised Preference Optimization with Limited Feedback

Seonggyun Lee ⋅ Sungjun Lim ⋅ Seojin Park ⋅ Soeun Cheon ⋅ Kyungwoo Song

TROLL: Trust Regions Improve Reinforcement Learning for Large Language Models

Philipp Becker ⋅ Niklas Freymuth ⋅ Serge Thilges ⋅ Fabian Otto ⋅ Gerhard Neumann

Multiplayer Nash Preference Optimization

Fang Wu ⋅ Xu Huang ⋅ Weihao Xuan ⋅ Zhiwei Zhang ⋅ Yijia Xiao ⋅ Frank Wan ⋅ Xiaomin Li ⋅ Bing Hu ⋅ Peng Xia ⋅ Jure Leskovec ⋅ Yejin Choi

The Art of Scaling Reinforcement Learning Compute for LLMs

Devvrit Khatri ⋅ Lovish Madaan ⋅ Rishabh Tiwari ⋅ Rachit Bansal ⋅ Venkata Sai Surya Subramanyam Duvvuri ⋅ Manzil Zaheer ⋅ Inderjit Dhillon ⋅ David Brandfonbrener ⋅ Rishabh Agarwal

To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models

Eran Malach ⋅ Omid Saremi ⋅ Sinead Williamson ⋅ Arwen Bradley ⋅ Aryo Lotfi ⋅ Emmanuel Abbe ⋅ Joshua Susskind ⋅ Etai Littwin

SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety

Geon-Hyeong Kim ⋅ Yu Jin Kim ⋅ Byoungjip Kim ⋅ Honglak Lee ⋅ Kyunghoon Bae ⋅ Youngsoo Jang ⋅ Moontae Lee

Why DPO is a Misspecified Estimator and How to Fix It

Aditya Gopalan ⋅ Sayak Ray Chowdhury ⋅ Debangshu Banerjee

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Oral

Oral Session 5D Learning dynamics and optimization III

10:30 AM - 12:00 PM

7 Events in this session

Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective

Yi-Ge Zhang ⋅ Jingyi Cui ⋅ Qiran Li ⋅ Yisen Wang

Characterizing the Discrete Geometry of ReLU Networks

Blake Gaines ⋅ Jinbo Bi

InfoNCE Induces Gaussian Distribution

Roy Betser ⋅ Eyal Gofer ⋅ Meir Yossef Levi ⋅ Guy Gilboa

Navigating the Latent Space Dynamics of Neural Models

Marco Fumero ⋅ Luca Moschella ⋅ Emanuele Rodolà ⋅ Francesco Locatello

Overparametrization bends the landscape: BBP transitions at initialization in simple Neural Networks

Brandon Annesi ⋅ Dario Bocchi ⋅ Chiara Cammarota

Addressing divergent representations from causal interventions on neural networks

Satchel Grant ⋅ Simon Jerome Han ⋅ Alexa Tartaglini ⋅ Christopher Potts

FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability–Plasticity Tradeoff

Isaac Han ⋅ Sangyeon Park ⋅ Seungwon Oh ⋅ Donghu Kim ⋅ Hojoon Lee ⋅ KyungJoong Kim

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Oral

Oral Session 5E Learning in computer vision

10:30 AM - 12:00 PM

7 Events in this session

Uncover Underlying Correspondence for Robust Multi-view Clustering

Haochen Zhou ⋅ Guofeng Ding ⋅ Mouxing Yang ⋅ Peng Hu ⋅ Yijie Lin ⋅ Xi Peng

WAFT: Warping-Alone Field Transforms for Optical Flow

Yihan Wang ⋅ Jia Deng

InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression

Haotian Ye ⋅ Qiyuan He ⋅ Jiaqi Han ⋅ Puheng Li ⋅ Jiaojiao Fan ⋅ Zekun Hao ⋅ Fitsum Reda ⋅ Yogesh Balaji ⋅ Huayu Chen ⋅ Sheng Liu ⋅ Angela Yao ⋅ James Y Zou ⋅ Stefano Ermon ⋅ Haoxiang Wang ⋅ Ming-Yu Liu

DTO-KD: Dynamic Trade-off Optimization for Effective Knowledge Distillation

Zeeshan Hayder ⋅ Ali Cheraghian ⋅ Lars Petersson ⋅ Mehrtash Harandi ⋅ Richard Hartley

AnyUp: Universal Feature Upsampling

Thomas Wimmer ⋅ Prune Truong ⋅ Marie-Julie Rakotosaona ⋅ Michael Oechsle ⋅ Federico Tombari ⋅ Bernt Schiele ⋅ Jan Eric Lenssen

Generating metamers of human scene understanding

Ritik Raina ⋅ Abe Leite ⋅ Alexandros Graikos ⋅ Seoyoung Ahn ⋅ Dimitris Samaras ⋅ Gregory Zelinsky

Plug-and-Play Compositionality for Boosting Continual Learning with Foundation Models

Weiduo Liao ⋅ Fei Han ⋅ Hisao Ishibuchi ⋅ Qingfu Zhang ⋅ Ying Wei

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Oral

Oral Session 5F AI for science II

10:30 AM - 12:00 PM

5 Events in this session

BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals

Chenqi Li ⋅ Yu Liu ⋅ Timothy Denison ⋅ Tingting Zhu

A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration

Rohit Jena ⋅ Vedant Zope ⋅ Pratik A Chaudhari ⋅ James Gee

CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data

Shifeng Xie ⋅ Vasilii Feofanov ⋅ Jianfeng Zhang ⋅ Themis Palpanas ⋅ Ievgen Redko

Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series

Yu Guoqi ⋅ Juncheng Wang ⋅ Chen Yang ⋅ Jing Qin ⋅ Angelica Aviles-Rivero ⋅ Shujun Wang

From movement to cognitive maps: recurrent neural networks reveal how locomotor development shapes hippocampal spatial coding

Marco P Abrate ⋅ Laurenz Muessig ⋅ Joshua Bassett ⋅ Hui Tan ⋅ Francesca Cacucci ⋅ Thomas Wills ⋅ Caswell Barry

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Poster

Poster Session 5 Pavilion 3

10:30 AM - 1:00 PM

496 Events in this session

SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis

Shahriar Noroozizadeh ⋅ Xiaobin Shen ⋅ Jeremy Weiss ⋅ George H. Chen

A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators

Jiayi Guo ⋅ Haoxuan Li ⋅ YE TIAN ⋅ Peng Wu

Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects

Shishir Adhikari ⋅ Sourav Medya ⋅ Elena Zheleva

CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions

Matthew Vowels ⋅ Mathieu Rochat ⋅ Sina Akbari

Causal Discovery in the Wild: A Voting-Theoretic Ensemble Approach

Vy Vo ⋅ Haoxuan Li ⋅ Mingming Gong

Independence Test for Linear Non-Gaussian Data and Applications in Causal Discovery

Yiqing Li ⋅ Xiaofei Wang ⋅ Boyang Sun ⋅ Yewei Xia ⋅ Kun Zhang

Score-based Greedy Search for Structure Identification of Partially Observed Causal Models

Xinshuai Dong ⋅ Ignavier Ng ⋅ Haoyue Dai ⋅ Jiaqi Sun ⋅ Xiangchen Song ⋅ Peter Spirtes ⋅ Kun Zhang

ALM-MTA: Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem Optimization

Yuguang Liu ⋅ Luyao Xia ⋅ Hu Liu ⋅ Zhangxi Yan ⋅ Jian Liang ⋅ Han Li ⋅ Kun Gai

Dual-Branch Representations with Dynamic Gated Fusion and Triple-Granularity Alignment for Deep Multi-View Clustering

Wenyuan Kong ⋅ Zhibin Gu ⋅ Bing Li

Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label Classification

Chengliang Liu ⋅ Bo Li ⋅ Bob Zhang ⋅ Xiaoling Luo ⋅ Yabo Liu ⋅ Jie Wen

Temporal Slowness in Central Vision Drives Semantic Object Learning

Timothy Schaumlöffel ⋅ Arthur Aubret ⋅ Gemma Roig ⋅ Jochen Triesch

Self-Supervised Learning from Structural Invariance

Yipeng Zhang ⋅ Hafez Ghaemi ⋅ Jungyoon Lee ⋅ Shahab Bakhtiari ⋅ Eilif B Muller ⋅ Laurent Charlin

Difficulty–Diversity Collaborative Filtering for Data-Efficient LLM Fine-Tuning

Long Hoang ⋅ Wenxuan Zhang ⋅ Wei Lu

Reverse Distillation: Consistently Scaling Protein Language Model Representations

Darius Catrina ⋅ Christian Bepler ⋅ Samuel Sledzieski ⋅ Rohit Singh

Beyond Instance-Level Alignment: Dual-Level Optimal Transport for Audio-Text Retrieval

Wenqi Guo ⋅ Shikui Tu ⋅ Lei Xu

KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model

Xinping Zhao ⋅ Xinshuo Hu ⋅ Zifei Shan ⋅ Shouzheng Huang ⋅ Yao Zhou ⋅ Xin Zhang ⋅ Zetian Sun ⋅ zhenyu liu ⋅ dongfang li ⋅ Xinyuan Wei ⋅ Youcheng Pan ⋅ Yang Xiang ⋅ Meishan Zhang ⋅ Haofen Wang ⋅ Jun Yu ⋅ Baotian Hu ⋅ Min Zhang

LLM DNA: Tracing Model Evolution via Functional Representations

Zhaomin Wu ⋅ Haodong Zhao ⋅ Ziyang Wang ⋅ Jizhou Guo ⋅ Qian Wang ⋅ Bingsheng He

An Efficient SE(p)-Invariant Transport Metric Driven by Polar Transport Discrepancy-based Representation

Junyi Lin ⋅ Dunyao Xue ⋅ Jun Yu ⋅ Hongteng Xu ⋅ Cheng Meng

Soft Equivariance Regularization for Invariant Self-Supervised Learning

Joohyung Lee ⋅ Changhun Kim ⋅ Hyunsu Kim ⋅ Kwanhyung Lee ⋅ Juho Lee

Frequency-Domain Better than Time-Domain for Causal Structure Recovery in Dynamical Systems on Networks

Mohammed Tuhin Rana ⋅ Mishfad Shaikh Veedu ⋅ James Melbourne ⋅ Murti Salapaka

Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction

Haolin Pan ⋅ Dong Jinyuan ⋅ Hongbin Zhang ⋅ Hongyu Lin ⋅ Mingjie Xing ⋅ Yanjun WU

On the Alignment Between Supervised and Self-Supervised Contrastive Learning

Achleshwar Luthra ⋅ Priyadarsi Mishra ⋅ Tomer Galanti

Disentangled representation learning through unsupervised symmetry group discovery

Barthélémy Dang-Nhu ⋅ Louis Annabi ⋅ Sylvain ARGENTIERI

PHyCLIP: $\ell_1$-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learning

Daiki Yoshikawa ⋅ Takashi Matsubara

VIRTUE: Visual-Interactive Text-Image Universal Embedder

Wei-Yao Wang ⋅ Kazuya Tateishi ⋅ Qiyu Wu ⋅ Shusuke Takahashi ⋅ Yuki Mitsufuji

There Was Never a Bottleneck in Concept Bottleneck Models

Antonio Almudévar ⋅ José Miguel Hernández Lobato ⋅ Alfonso Ortega

Towards Understanding the Shape of Representations in Protein Language Models

Kosio Beshkov ⋅ Anders Malthe-Sorenssen

Verification of the Implicit World Model in a Generative Model via Adversarial Sequences

András Balogh ⋅ Márk Jelasity

Uncertainty-driven Embedding Convolution

Sungjun Lim ⋅ Kangjun Noh ⋅ Youngjun Choi ⋅ Heeyoung Lee ⋅ Kyungwoo Song

Anatomy-aware Representation Learning for Medical Ultrasound

Seok-Hwan Oh ⋅ Myeong-Gee Kim ⋅ Guil Jung ⋅ hyeonjik lee ⋅ Young-Min Kim ⋅ Sang-yun Kim ⋅ Hyuksool Kwon ⋅ Hyeon-min Bae

SNAPHARD CONTRAST LEARNING

Changpu Meng ⋅ Jie Yang ⋅ Wanqing Li ⋅ Yi Guo

Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization

Omri Uzan ⋅ Asaf Yehudai ⋅ Roi Pony ⋅ Eyal Shnarch ⋅ Ariel Gera

EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling

Xin Luo ⋅ Jiahao Wang ⋅ Chenyuan Wu ⋅ Shitao Xiao ⋅ Xiyan Jiang ⋅ Defu Lian ⋅ Jiajun Zhang ⋅ Dong Liu ⋅ Zheng Liu

Covariate-Guided Clusterwise Linear Regression for Generalization to Unseen Data

Dohyun Bu ⋅ Hyunho Kim ⋅ JONGSEOK LEE

The effect of feature resolution on embedding dimension

Louise Beyers ⋅ Ruan van der Merwe

Enhanced Continual Learning of Vision-Language Models with Model Fusion

Haoyuan Gao ⋅ Zicong Zhang ⋅ Yuqi Wei ⋅ Linglan Zhao ⋅ Guilin Li ⋅ Yexin Li ⋅ Bo Wang ⋅ Linghe Kong ⋅ Weiran Huang

Command-V: Training-Free Representation Finetuning Transfer

Barry Wang ⋅ Avi Schwarzschild ⋅ Alexander Robey ⋅ Ali Payani ⋅ Charles Fleming ⋅ Mingjie Sun ⋅ Daphne Ippolito

Merge before Forget: A Single LoRA Continual Learning via Continual Merging

Fuli Qiao ⋅ Mehrdad Mahdavi

Elastic Optimal Transport: Theory, Application, and Empirical Evaluation

Pei Yang ⋅ Yuhang Zhuang ⋅ Qi Tan

Forget Forgetting: Continual Learning in a World of Abundant Memory

Dongkyu Cho ⋅ Taesup Moon ⋅ Rumi Chunara ⋅ Kyunghyun Cho ⋅ Sungmin Cha

New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework

Shaocong Ma ⋅ Peiran Yu ⋅ Heng Huang

Healthcare Insurance Fraud Detection via Continual Fiedler Vector Graph Model

Yehan Zhang ⋅ Huaidong Zhang ⋅ Xuandi Luo ⋅ Shengfeng He

Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation

Fei Wu ⋅ Jia Hu ⋅ Geyong Min ⋅ Shiqiang Wang

Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models

Filippo Rinaldi ⋅ Aniello Panariello ⋅ Giacomo Salici ⋅ Fengyuan Liu ⋅ Marco Ciccone ⋅ Angelo Porrello ⋅ Simone Calderara

Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking

Dengming Zhang ⋅ Xiaowen Ma ⋅ Zhenliang Ni ⋅ Zhenkai Wu ⋅ Han Shu ⋅ Xin Jiang ⋅ Xinghao Chen

Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature

Angelo Porrello ⋅ Pietro Buzzega ⋅ Felix Dangel ⋅ Thomas Sommariva ⋅ Riccardo Salami ⋅ Lorenzo Bonicelli ⋅ Simone Calderara

In-Context Learning of Temporal Point Processes with Foundation Inference Models

David Berghaus ⋅ Patrick Seifner ⋅ Kostadin Cvejoski ⋅ César Ali Ojeda Marin ⋅ Ramses Sanchez

Latent Veracity Inference for Identifying Errors in Stepwise Reasoning

Minsu Kim ⋅ Jean-Pierre Falet ⋅ Oliver Richardson ⋅ Xiaoyin Chen ⋅ Moksh Jain ⋅ Sungjin Ahn ⋅ Sungsoo Ahn ⋅ Yoshua Bengio

Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later

Arnaud Vadeboncoeur ⋅ Gregory Duthé ⋅ Mark Girolami ⋅ Eleni Chatzi

Alternating Diffusion for Proximal Sampling with Zeroth Order Queries

Hirohane Takagi ⋅ Atsushi Nitanda

PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference

Yang Yang ⋅ Severi Rissanen ⋅ Paul Chang ⋅ Nasrulloh Satrio ⋅ Daolang Huang ⋅ Arno Solin ⋅ Markus Heinonen ⋅ Luigi Acerbi

Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning

Mara Daniels ⋅ Liam Hodgkinson ⋅ Michael W Mahoney

VeriCoT: Neuro-symbolic Chain-of-Thought Validation via Logical Consistency Checks

Yu Feng ⋅ Nathaniel Weir ⋅ Kaj Bostrom ⋅ Sam Bayless ⋅ Darion Cassel ⋅ Sapana Chaudhary ⋅ Benjamin Kiesl-Reiter ⋅ Huzefa Rangwala

Resurfacing the Instance-only Dependent Label Noise Model through Loss Correction

Mustafa Enes Aydın ⋅ Maarten De Vos ⋅ Alexander Bertrand

Multi-Condition Conformal Selection

Qingyang Hao ⋅ Wenbo Liao ⋅ Bingyi Jing ⋅ Hongxin Wei

OpenApps: Simulating Environment Variations to Measure UI Agent Reliability

Karen Ullrich ⋅ Jingtong Su ⋅ Claudia Shi ⋅ Arjun Subramonian ⋅ Amir Bar ⋅ Ivan Evtimov ⋅ Nikolaos Tsilivis ⋅ Randall Balestriero ⋅ Julia Kempe ⋅ Mark Ibrahim

Efficient Agent Training for Computer Use

Yanheng He ⋅ Jiahe Jin ⋅ Pengfei Liu

Boosted Trees on a Diet: Compact Models for Resource-Constrained Devices

Nina Herrmann ⋅ Jan Stenkamp ⋅ Benjamin Karic ⋅ Stefan Oehmcke ⋅ Fabian Gieseke

Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMs

Hongyi Liu ⋅ Jiaji Huang ⋅ Zhen Jia ⋅ Youngsuk Park ⋅ Yu-Xiang Wang

Revisiting Active Sequential Prediction-Powered Mean Estimation

Maria-Eleni Sfyraki ⋅ Jun-Kun Wang

Angle K-Means

Shenfei Pei ⋅ Ruiyu Huang ⋅ Yiqing Hu ⋅ Zhongqi Lin ⋅ Jiang Xudong ⋅ Zengwei Zheng

Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms

Wei Wang ⋅ Dong-Dong Wu ⋅ Ming Li ⋅ Jingxiong Zhang ⋅ Gang Niu ⋅ Masashi Sugiyama

Boosting for Predictive Sufficiency

Gowtham Reddy Abbavaram ⋅ Rajeev Verma ⋅ Celia Rubio-Madrigal ⋅ Krikamol Muandet ⋅ Rebekka Burkholz

Adaptive Conformal Guidance for Learning under Uncertainty

Rui Liu ⋅ Peng Gao ⋅ Yu Shen ⋅ Ming Lin ⋅ Pratap Tokekar

MedAraBench: Large-scale Arabic Medical Question Answering Dataset and Benchmark

Mouath Abu-Daoud ⋅ Leen Kharouf ⋅ Omar El Hajj ⋅ Dana Samad ⋅ Mariam Al-Omari ⋅ Jihad Mallat ⋅ Khaled Saleh ⋅ Nizar Habash ⋅ Farah Shamout

Bandits with Single-Peaked Preferences and Limited Resources

Omer Ben-Porat ⋅ Gur Keinan ⋅ Rotem Torkan

back arrowGo to TMLR homepage Slicing the Gaussian Mixture Wasserstein Distance

Moritz Piening · Robert Beinert

BoGrape: Bayesian optimization over graphs with shortest-path encoded

Yilin Xie ⋅ Shiqiang Zhang ⋅ Jixiang Qing ⋅ Ruth Misener ⋅ Calvin Tsay

Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning

Jiayao Mai ⋅ Bangyan Liao ⋅ Zhenjun Zhao ⋅ Yingping Zeng ⋅ Haoang Li ⋅ Javier Civera ⋅ Tailin Wu ⋅ Yi Zhou ⋅ Peidong Liu

RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization

Jiwoo Son ⋅ Zhikai Zhao ⋅ Federico Berto ⋅ Chuanbo Hua ⋅ Zhiguang Cao ⋅ Changhyun Kwon ⋅ Jinkyoo Park

Human-LLM Collaborative Feature Engineering for Tabular Data

Zhuoyan Li ⋅ Aditya Bansal ⋅ Jinzhao Li ⋅ Shishuang He ⋅ Zhuoran Lu ⋅ Mutian Zhang ⋅ Qin Liu ⋅ Yiwei Yang ⋅ Swati Jain ⋅ Ming Yin ⋅ Yunyao Li

Towards Better Branching Policies: Leveraging the Sequential Nature of Branch-and-Bound Tree

Ce Zhang ⋅ Bin Zhang ⋅ Guoliang Fan

Celo2: Towards Learned Optimization Free Lunch

Abhinav Moudgil ⋅ Boris Knyazev ⋅ Eugene Belilovsky

AutoEP: LLMs-Driven Automation of Hyperparameter Evolution for Metaheuristic Algorithms

Zhenxing Xu ⋅ Yizhe Zhang ⋅ Weidong Bao ⋅ Hao Wang ⋅ Ming Chen ⋅ Haoran Ye ⋅ Wenzheng Jiang ⋅ Hui Yan ⋅ Ji Wang

Learning to Adapt: In-Context Learning Beyond Stationarity

Zhen Qin ⋅ Jiachen Jiang ⋅ Zhihui Zhu

Improving Feasibility via Fast Autoencoder-Based Projections

Maria Chzhen ⋅ Priya Donti

Neural Graduated Assignment for Maximum Common Edge Subgraphs

Chaolong Ying ⋅ Yingqi Ruan ⋅ Xuemin Chen ⋅ Yaomin Wang ⋅ Tianshu Yu

HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models

Weixuan Wang ⋅ Minghao Wu ⋅ Barry Haddow ⋅ Alexandra Birch

Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers

Panagiotis D. Grontas ⋅ Antonio Terpin ⋅ Efe Balta ⋅ Raffaello D'Andrea ⋅ John Lygeros

Convergence of Muon with Newton-Schulz

Gyu Yeol Kim ⋅ Min-hwan Oh

Faster Gradient Methods for Highly-smooth Stochastic Bilevel Optimization

Lesi Chen ⋅ Junru Li ⋅ EL MAHDI CHAYTI ⋅ Jingzhao Zhang

Cautious Weight Decay

Lizhang Chen ⋅ Jonathan Li ⋅ Kaizhao Liang ⋅ Baiyu Su ⋅ Cong Xie ⋅ Chen Liang ⋅ Ni Lao ⋅ Qiang Liu

Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization

Haocheng Luo ⋅ Zehang Deng ⋅ Thanh-Toan Do ⋅ Mehrtash Harandi ⋅ Dinh Phung ⋅ Trung Le

Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization

Zihao Zhao ⋅ Christopher Yeh ⋅ Lingkai Kong ⋅ Kai Wang

Conformal Robustness Control: A New Strategy for Robust Decision

Yang Hu ⋅ Jieren Tan ⋅ Changliang Zou ⋅ Yajie Bao ⋅ Haojie Ren

A Sharp KL Convergence Analysis for Diffusion Models under Minimal Assumptions

Nishant Jain ⋅ Tong Zhang

Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling

Matthieu Blanke ⋅ Yongquan Qu ⋅ Sara Shamekh ⋅ Pierre Gentine

Test-time Verification via Optimal Transport: Coverage, ROC, & Sub-optimality

Arpan Mukherjee ⋅ Marcello Bullo ⋅ Debabrota Basu ⋅ Deniz Gunduz

Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces

Bryon Tjanaka ⋅ Henry Chen ⋅ Matthew Fontaine ⋅ Stefanos Nikolaidis

Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization

Zhe Li ⋅ Bicheng Ying ⋅ Zidong Liu ⋅ Chaosheng Dong ⋅ Haibo Yang

Scaling Multi-Task Bayesian Optimization with Large Language Models

Yimeng Zeng ⋅ Natalie Maus ⋅ Haydn Jones ⋅ Jeffrey Tao ⋅ Fangping Wan ⋅ Marcelo Der Torossian Torres ⋅ Cesar de la Fuente ⋅ Ryan Marcus ⋅ Osbert Bastani ⋅ Jacob Gardner

FZOO: Fast Zeroth-Order Optimizer for Fine‑Tuning Large Language Models towards Adam‑Scale Speed

Sizhe Dang ⋅ yangyangGuo ⋅ Yanjun Zhao ⋅ Xiaodong Zheng ⋅ Guang Dai ⋅ Ivor Tsang ⋅ Haishan Ye

Task-free Adaptive Meta Black-box Optimization

Chao Wang ⋅ Licheng Jiao ⋅ Lingling Li ⋅ Jiaxuan Zhao ⋅ Guanchun Wang ⋅ Fang Liu ⋅ Shuyuan Yang

Riemannian Federated Learning via Averaging Gradient Streams

Zhenwei Huang ⋅ Wen Huang ⋅ Pratik Jawanpuria ⋅ Bamdev Mishra

Developmental Federated Tuning: A Cognitive-Inspired Paradigm for Efficient LLM Adaptation

Yebo Wu ⋅ Jingguang Li ⋅ Zhijiang Guo ⋅ Li Li

Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling

Yan Li ⋅ Zhenyu Zhang ⋅ Zhengang Wang ⋅ Pengfei chen ⋅ Pengfei Zheng

Decentralized Nonconvex Optimization under Heavy-Tailed Noise: Normalization and Optimal Convergence

Shuhua Yu ⋅ Dusan Jakovetic ⋅ Soummya Kar

Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity

Artavazd Maranjyan ⋅ Peter Richtarik

Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking

Ali Saheb Pasand ⋅ Elvis Dohmatob

Scaling Direct Feedback Learning with Jacobian Alignment Guarantees

Paul Caillon ⋅ Erwan Fagnou ⋅ Blaise Delattre ⋅ Alexandre Allauzen

COSMOS: A Hybrid Adaptive Optimizer for Efficient Training of Large Language Models

Liming Liu ⋅ Zhenghao Xu ⋅ Zixuan Zhang ⋅ Hao Kang ⋅ Zichong Li ⋅ Chen Liang ⋅ Weizhu Chen ⋅ Tuo Zhao

Robust Training of Neural Networks at Arbitrary Precision and Sparsity

Chengxi Ye ⋅ Grace Chu ⋅ Yanfeng Liu ⋅ Yichi Zhang ⋅ Lukasz Lew ⋅ Li Zhang ⋅ Mark Sandler ⋅ Andrew Howard

Neural Multi-Objective Combinatorial Optimization for Flexible Job Shop Scheduling Problems

Igor Smit ⋅ Yaoxin Wu ⋅ Pavel Troubil ⋅ Yingqian Zhang ⋅ Wim P.M. Nuijten

T-TAMER: Provably Taming Trade-offs in ML Serving

Yuanyuan Yang ⋅ Ruimin Zhang ⋅ Jamie Morgenstern ⋅ Haifeng Xu

Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data

Stefan Schoepf ⋅ Michael Mozer ⋅ Nicole Mitchell ⋅ Alexandra Brintrup ⋅ Georgios Kaissis ⋅ Peter Kairouz ⋅ Eleni Triantafillou

Training Large Language Models To Reason In Parallel With Global Forking Tokens

Sheng Jia ⋅ Xiao Wang ⋅ Shiva Kasiviswanathan

Test-Time Scaling with Reflective Generative Model

Zixiao Wang ⋅ Yuxin Wang ⋅ Xiaorui Wang ⋅ Mengting Xing ⋅ Jie Gao ⋅ Jianjun Xu ⋅ Guangcan Liu ⋅ Chenhui Jin ⋅ Zhuo Wang ⋅ Shengzhuo zhang ⋅ Hongtao Xie

Splat Regression Models

Mara Daniels ⋅ Philippe Rigollet

Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios

KIHUN HONG ⋅ Sejun Park ⋅ Ganguk Hwang

LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards

Guanzheng Chen ⋅ Michael Qizhe Shieh ⋅ Lidong Bing

FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing

Ran Elbaz ⋅ Guy Bar-Shalom ⋅ Yam Eitan ⋅ Fabrizio Frasca ⋅ Haggai Maron

C-Voting: Confidence-Based Test-Time Voting without Explicit Energy Functions

Kenji Kubo ⋅ Shunsuke Kamiya ⋅ Masanori Koyama ⋅ Kohei Hayashi ⋅ Yusuke Iwasawa ⋅ Yutaka Matsuo

Breaking the Correlation Plateau: On the Optimization and Capacity Limits of Attention-Based Regressors

Jingquan Yan ⋅ Yuwei Miao ⋅ Peiran Yu ⋅ Junzhou Huang

Disentangling Length Bias in Preference Learning via Response-Conditioned Modeling

Jianfeng Cai ⋅ Jinhua Zhu ⋅ Ruopei Sun ⋅ Yue Wang ⋅ Li Li ⋅ Wengang Zhou ⋅ Houqiang Li

Achieving low-bit Muon through subspace preservation and grid quantization

Huaijin Wu ⋅ Bingrui Li ⋅ Yebin Yang ⋅ Yi Tu ⋅ Zhanpeng Zhou ⋅ Jianfei Chen ⋅ Junchi Yan

Poly-attention: a general scheme for higher-order self-attention

Sayak Chakrabarti ⋅ Toniann Pitassi ⋅ Josh Alman

What Layers When: Learning to Skip Compute in LLMs with Residual Gates

Filipe Laitenberger ⋅ Dawid Kopiczko ⋅ Cees G Snoek ⋅ Yuki Asano

Samples Are Not Equal: A Sample Selection Approach for Deep Clustering

Zhengxing Jiao ⋅ Yaxin Hou ⋅ Jun Ma ⋅ Yuhang Li ⋅ Ding Ding ⋅ Yuheng Jia ⋅ Hui LIU ⋅ Junhui Hou

CLIP-FMoE: Scalable CLIP via Fused Mixture-of-Experts with Enforced Specialization

Luong Tran ⋅ Lan-Cuong Nguyen ⋅ Huynh Dang Nguyen ⋅ Nguyen Cong Dat ⋅ Dung D. Le ⋅ Van Nguyen

UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning

Zihao Huang ⋅ Yu Bao ⋅ Qiyang Min ⋅ Siyan Chen ⋅ Ran Guo ⋅ Hongzhi Huang ⋅ Defa Zhu ⋅ Banggu Wu ⋅ Yutao Zeng ⋅ zhou Xun ⋅ Siyuan Qiao

Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval

Fanpu Cao ⋅ Lu Dai ⋅ Jindong Han ⋅ Hui Xiong

The Lattice Geometry of Neural Network Quantization: A Short Equivalence Proof of GPTQ and Babai's Algorithm

Johann Birnick

Let's (not) just put things in Context: Test-time Training for Long-context LLMs

Rachit Bansal ⋅ Aston Zhang ⋅ Rishabh Tiwari ⋅ Lovish Madaan ⋅ Venkata Sai Surya Subramanyam Duvvuri ⋅ Devvrit Khatri ⋅ David Brandfonbrener ⋅ David Alvarez-Melis ⋅ Prajjwal Bhargava ⋅ Mihir Kale ⋅ Samy Jelassi

Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database

Weizhi Fei ⋅ Hao Shi ⋅ Jing Xu ⋅ Jingchen Peng ⋅ Jiazheng Li ⋅ Jingzhao Zhang ⋅ Bo Bai ⋅ Wei Han ⋅ zy chen ⋅ Xueyan Niu

Massive Editing for Large Language Models Based on Dynamic Weight Generation

Wentao Wan ⋅ Qiqing Lao ⋅ Zhiwei Xie ⋅ Hefeng Wu ⋅ Runnan Lin ⋅ Liang Lin ⋅ Keze Wang

Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs

Shangpin Peng ⋅ Weinong Wang ⋅ Zhuotao Tian ⋅ Senqiao Yang ⋅ Xing W ⋅ Haotian Xu ⋅ Chengquan Zhang ⋅ Takashi Isobe ⋅ Baotian Hu ⋅ Min Zhang

TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching

Runjia Zeng ⋅ Qifan Wang ⋅ Qiang Guan ⋅ Ruixiang Tang ⋅ Lifu Huang ⋅ Zhenting Wang ⋅ Xueling Zhang ⋅ Cheng Han ⋅ Dongfang Liu

Textual Equilibrium Propagation for Deep Compound AI Systems

Minghui Chen ⋅ Wenlong Deng ⋅ James Y Zou ⋅ Han Yu ⋅ Xiaoxiao Li

Dr.LLM: Dynamic Layer Routing in LLMs

Ahmed Heakl ⋅ Martin Gubri ⋅ Salman Khan ⋅ Sangdoo Yun ⋅ Seong Joon Oh

dLLM - Rethinking Generation Beyond Autoregressive Models

Suhas Pai ⋅ Xiaojun Ren

Towards Improved Sentence Representations using Token Graphs

Krishna Sri Ipsit Mantri ⋅ Carola-Bibiane Schönlieb ⋅ Zorah Lähner ⋅ Moshe Eliasof

In Context Semi-Supervised Learning

Jiashuo Fan ⋅ Paul Rosu ⋅ Aaron Wang ⋅ Lawrence Carin ⋅ Xiang Cheng

Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning Models

Junhyuck Kim ⋅ Ethan Ewer ⋅ Taehong Moon ⋅ Jongho Park ⋅ Dimitris Papailiopoulos

Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression

Yifei Zuo ⋅ Yutong Yin ⋅ Zhichen Zeng ⋅ Ang Li ⋅ Banghua Zhu ⋅ Zhaoran Wang

RACE Attention: A Strictly Linear-Time Attention for Long-Sequence Training

Sahil Joshi ⋅ Agniva Chowdhury ⋅ Amar Kanakamedala ⋅ Ekam Singh ⋅ Evan Tu ⋅ Anshumali Shrivastava

Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization

Yunzhe Hu ⋅ Difan Zou ⋅ Dong Xu

Draft-based Approximate Inference for LLMs

Kevin Galim ⋅ Ethan Ewer ⋅ Wonjun Kang ⋅ Minjae Lee ⋅ Hyung Koo ⋅ Kangwook Lee

Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme

Mikhail Persiianov ⋅ Jiawei Chen ⋅ Petr Mokrov ⋅ Alexander Tyurin ⋅ Evgeny Burnaev ⋅ Aleksandr Korotin

Logit‑KL Flow Matching: Non‑Autoregressive Text Generation via Sampling‑Hybrid Inference

Egor Sevriugov ⋅ Nikita Dragunov ⋅ Anton Razzhigaev ⋅ Andrey Kuznetsov ⋅ Ivan Oseledets

The Spacetime of Diffusion Models: An Information Geometry Perspective

Rafał Karczewski ⋅ Markus Heinonen ⋅ Alison Pouplin ⋅ Søren Hauberg ⋅ Vikas Garg

Discrete Bayesian Sample Inference for Graph Generation

Ole Petersen ⋅ Marcel Kollovieh ⋅ Marten Lienen ⋅ Stephan Günnemann

TEDM: Time Series Forecasting with Elucidated Diffusion Models

Edgardo Solano Carrillo ⋅ Sreerag Vadakkemeppully Naveenachandran ⋅ Julia Niebling

Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure

Boshi Wang ⋅ Huan Sun

What Exactly Does Guidance Do in Masked Discrete Diffusion Models

Ye He ⋅ Kevin Rojas ⋅ Molei Tao

Evidence for Limited Metacognition in LLMs

Christopher Ackerman

DeepWeightFlow: Re-Basined Flow Matching for Generating Neural Network Weights

Saumya Gupta ⋅ Scott Biggs ⋅ Moritz Laber ⋅ Zohair Shafi ⋅ Robin Walters ⋅ Ayan Paul

Making Slow Thinking Faster: Compressing LLM Chain-of-Thought via Step Entropy

Zeju LI ⋅ Jianyuan Zhong ⋅ Ziyang Zheng ⋅ Xiangyu Wen ⋅ Zhijian Xu ⋅ Yingying Cheng ⋅ Fan Zhang ⋅ Qiang Xu

COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics

Kartik Sharma ⋅ Rakshit Trivedi

KV Cache Transform Coding for Compact Storage in LLM Inference

Konrad Staniszewski ⋅ Adrian Lancucki

FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning

Haozheng Luo ⋅ Zhuolin Jiang ⋅ Md Zahid Hasan ⋅ Yan Chen ⋅ Soumalya Sarkar

InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning

Matthew Yang ⋅ Hao Bai ⋅ Ian Wu ⋅ Gene Yang ⋅ Amrith Setlur ⋅ Aviral Kumar

EAMET: ROBUST MASSIVE MODEL EDITING VIA EMBEDDING ALIGNMENT OPTIMIZATION

Yanbo Dai ⋅ Zhenlan Ji ⋅ Zongjie Li ⋅ Shuai Wang

Flow-based Conformal Prediction for Multi-dimensional Time Series

Junghwan Lee ⋅ Chen Xu ⋅ Yao Xie

On the Interpolation Effect of Score Smoothing in Diffusion Models

Zhengdao Chen

Universal Multi-Domain Translation via Diffusion Routers

Duc Kieu ⋅ Kien Do ⋅ Tuan Hoang ⋅ Thao Le ⋅ Tung Kieu ⋅ Dang Nguyen ⋅ Thin Nguyen

Structured Flow Autoencoders: Learning Structured Probabilistic Representations with Flow Matching

Yidan Xu ⋅ Yixin Wang ⋅ XuanLong Nguyen

Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models

Mengni Jia ⋅ Mengyu Zhou ⋅ Yihao Liu ⋅ xiaoxi jiang ⋅ guanjunjiang

Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges

Andrea Testa ⋅ Søren Hauberg ⋅ Tamim Asfour ⋅ Leonel Rozo

There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-Training

jiachen lei ⋅ Keli Liu ⋅ Julius Berner ⋅ Y HoiM ⋅ Hongkai Zheng ⋅ Jiahong Wu ⋅ Xiangxiang Chu

Reasoning Scaffolding: Distilling the Flow of Thought from LLMs

Xiangyu Wen ⋅ Junhua Huang ⋅ Zeju LI ⋅ Min Li ⋅ Jianyuan Zhong ⋅ Zhijian Xu ⋅ Mingxuan Yuan ⋅ Yongxiang Huang ⋅ Qiang Xu

Autoregressive-based Progressive Coding for Ultra-Low Bitrate Image Compression

Ziyuan Zhang ⋅ Yichong Xia ⋅ Bin Chen ⋅ Tianwei Zhang ⋅ Hao Wang ⋅ Han Qiu

Train Once, Answer All: Many Pretraining Experiments for the Cost of One

Sebastian Bordt ⋅ Martin Pawelczyk

SAFETY-GUIDED FLOW (SGF): A UNIFIED FRAMEWORK FOR NEGATIVE GUIDANCE IN SAFE GENERATION

Mingyu Kim ⋅ Young-Heon Kim ⋅ Mijung Park

SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism

Yuhao Shen ⋅ Junyi Shen ⋅ Quan Kong ⋅ Tianyu Liu ⋅ Yao Lu ⋅ Cong Wang

Dual-Path Condition Alignment for Diffusion Transformers

Changhao Peng ⋅ Yuqi Ye ⋅ Shuangjun Du ⋅ Wenxu Gao ⋅ Wei Gao

Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains

Austin Xu ⋅ Xuan-Phi Nguyen ⋅ Yilun Zhou ⋅ Chien-Sheng Wu ⋅ Caiming Xiong ⋅ Shafiq Joty

MoNE: Replacing Redundant Experts with Lightweight Novices for Structured Pruning of MoE

Geng Zhang ⋅ Han Yuxuan ⋅ Yuxuan Lou ⋅ Yiqi Zhang ⋅ Wangbo Zhao ⋅ Yang You

FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows

Yeonwoo Cha ⋅ Semin Kim ⋅ Jinhyeon Kwon ⋅ Seunghoon Hong

Semantic Voting: A Self-Evaluation-Free Approach for Efficient LLM Self-Improvement on Unverifiable Open-ended Tasks

Chunyang Jiang ⋅ Yonggang Zhang ⋅ Yiyang Cai ⋅ Chi-Min Chan ⋅ Yulong Liu ⋅ Mingming Chen ⋅ Wei Xue ⋅ Yike Guo

Delay Flow Matching

Bolin Zhao ⋅ Xiaoyu Zhang ⋅ Yuting Dong ⋅ Xin Lu ⋅ Wei Lin ⋅ Qunxi Zhu

SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion

Sedjro Salomon Hotegni ⋅ Sebastian Peitz

Quotient-Space Diffusion Models

Yixian Xu ⋅ Yusong Wang ⋅ Shengjie Luo ⋅ Kaiyuan Gao ⋅ Tianyu He ⋅ Di He ⋅ Chang Liu

Open Data Synthesis for Deep Research

Ziyi Xia ⋅ Kun Luo ⋅ Hongjin Qian ⋅ Siqi Bao ⋅ Zheng Liu

pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation

Hansheng Chen ⋅ Kai Zhang ⋅ Hao Tan ⋅ Leonidas Guibas ⋅ Gordon Wetzstein ⋅ Sai Bi

Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds

Oscar Davis ⋅ Michael Albergo ⋅ Nicholas Boffi ⋅ Michael Bronstein ⋅ Joey Bose

Adapting Self-Supervised Representations as a Latent Space for Efficient Generation

Ming Gui ⋅ Johannes Schusterbauer ⋅ Timy Phan ⋅ Felix Krause ⋅ Joshua Susskind ⋅ MIGUEL ANGEL BAUTISTA ⋅ Björn Ommer

Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data

Rishabh Ranjan ⋅ Valter Hudovernik ⋅ Mark Znidar ⋅ Charilaos Kanatsoulis ⋅ Roshan Upendra ⋅ Mahmoud Mohammadi ⋅ Joe Meyer ⋅ Tom Palczewski ⋅ Carlos Guestrin ⋅ Jure Leskovec

Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning

Ruizhong Qiu ⋅ Ting-Wei Li ⋅ Gaotang Li ⋅ Hanghang Tong

Glance for Context: Learning When to Leverage LLMs for Node-Aware GNN-LLM Fusion

Donald Loveland ⋅ Yao-An Yang ⋅ Danai Koutra

Efficient Learning on Large Graphs using a Densifying Regularity Lemma

Jonathan Kouchly ⋅ Ben Finkelshtein ⋅ Michael Bronstein ⋅ Ron Levie

On the Expressive Power of GNNs for Boolean Satisfiability

Saku Peltonen ⋅ Roger Wattenhofer

Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs

Jan Tönshoff ⋅ Martin Grohe

HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature

Devvrat Joshi ⋅ Islem Rekik

Adversarial Robustness of Graph Transformers

Philipp Foth · Lukas Gosch · Simon Geisler · Leo Schwinn · Stephan Günnemann

KnowledgeSmith: Uncovering Knowledge Updating in LLMs with Model Editing and Unlearning

Yinyi Luo ⋅ Zhexian Zhou ⋅ Hao Chen ⋅ Kai Qiu ⋅ Marios Savvides ⋅ Sharon Li ⋅ Jindong Wang

Sampling-aware Adversarial Attacks Against Large Language Models

Tim Beyer ⋅ Yan Scholten ⋅ Leo Schwinn ⋅ Stephan Günnemann

WRING Out The Bias: A Rotation-Based Alternative To Projection Debiasing

Walter Gerych ⋅ Cassandra Parent ⋅ Quinn Perian ⋅ Rafiya Javed ⋅ Justin Solomon ⋅ Marzyeh Ghassemi

CERTIFIED VS. EMPIRICAL ADVERSARIAL ROBUSTNESS VIA HYBRID CONVOLUTIONS WITH ATTENTION STOCHASTICITY

Joy Dhar ⋅ Song Xia ⋅ Manish Pandey ⋅ Maryam Haghighat ⋅ Azadeh Alavi ⋅ Ferdous Sohel ⋅ Wenyu Zhang ⋅ Nayyar Zaidi

Trapped by simplicity: When Transformers fail to learn from noisy features

Evan Peters ⋅ Matheus Zambianco ⋅ Ando Deng ⋅ Devin Blankespoor ⋅ Achim Kempf

Why Adversarially Train Diffusion Models?

Maria Rosaria Briglia ⋅ Mujtaba Mirza ⋅ Giuseppe Lisanti ⋅ Iacopo Masi

TrainRef: Curating Data with Label Distribution and Minimal Reference for Accurate Prediction and Reliable Confidence

Murong Ma ⋅ Ruofan Liu ⋅ Yun Lin ⋅ Zhiyong Huang ⋅ Jin Song Dong

FERD: Fairness-Enhanced Data-Free Adversarial Robustness Distillation

Zhengxiao Li ⋅ Liming Lu ⋅ Xu Zheng ⋅ Si-Yuan Liang ⋅ Taric Chen ⋅ Yongbin Zhou ⋅ Shuchao Pang

AP-OOD: Attention Pooling for Out-of- Distribution Detection

Claus Hofmann ⋅ Christian Huber ⋅ Bernhard Lehner ⋅ Daniel Klotz ⋅ Sepp Hochreiter ⋅ Werner Zellinger

Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability

Shojiro Yamabe ⋅ Jun Sakuma

Are Deep Speech Denoising Models Robust to Adversarial Noise?

Will Schwarzer ⋅ Andrea Fanelli ⋅ Philip Thomas ⋅ Xiaoyu Liu

Variational Deep Learning via Implicit Regularization

Jonathan Wenger ⋅ Beau Coker ⋅ Juraj Marusic ⋅ John Cunningham

Concept-based Adversarial Attack: a Probabilistic Perspective

Andi Zhang ⋅ Xuan Ding ⋅ Steven McDonagh ⋅ Samuel Kaski

Fine-Grained Iterative Adversarial Attacks with Limited Computation Budget

Zhichao Hou ⋅ Weizhi Gao ⋅ Xiaorui Liu

Robustify Spiking Neural Networks via Dominant Singular Deflation under Heterogeneous Training Vulnerability

Desong Zhang ⋅ Jia Hu ⋅ Geyong Min

Pay Less Attention to Function Words for Free Robustness of Vision-Language Models

Qiwei Tian ⋅ Chenhao Lin ⋅ Zhengyu Zhao ⋅ Chao Shen

Inverse Scaling in Test-Time Compute

Aryo Pradipta Gema · Alexander Hägele · Runjin Chen · Andy Arditi · Jacob Goldman-Wetzler · Kit Fraser-Taliente · Henry Sleight · Linda Petrini · Julian Michael · Beatrice Alex · Pasquale Minervini · Yanda Chen · Joe Benton · Ethan Perez

Parameterized Hardness of Zonotope Containment and Neural Network Verification

Vincent Froese ⋅ Moritz Grillo ⋅ Christoph Hertrich ⋅ Moritz Stargalla

A universal compression theory for lottery ticket hypothesis and neural scaling laws

Hong-Yi Wang ⋅ Di Luo ⋅ Tomaso Poggio ⋅ Isaac Chuang ⋅ Liu Ziyin

Intrinsic Entropy of Context Length Scaling in LLMs

Jingzhe Shi ⋅ Qinwei (Martin) Ma ⋅ Hongyi Liu ⋅ Hang Zhao ⋅ Jenq-Neng Hwang ⋅ Lei Li

Implicit bias produces neural scaling laws in learning curves, from perceptrons to deep networks

Francesco DAmico ⋅ Dario Bocchi ⋅ Matteo Negri

Regulating Internal Alignment Flows for Robust Learning Under Spurious Correlations

Rajeev Ranjan Dwivedi ⋅ Mohammedkaif Mohammedrafiq Kalagond ⋅ Niramay Patel ⋅ Vinod Kurmi

What Scales in Cross-Entropy Scaling Law?

Junxi Yan ⋅ Zixi Wei ⋅ Qingyao Ai ⋅ Yiqun LIU ⋅ Jingtao Zhan

Risk Phase Transitions in Spiked Regression: Alignment Driven Benign and Catastrophic Overfitting

Jiping Li ⋅ Rishi Sonthalia

Some Neural Networks Inherently Preserve Subspace Clustering Structure

Karan Vikyath Veeranna Rupashree ⋅ Siddharth Baskar ⋅ Daniel L Pimentel-Alarcón

Learning on a Razor’s Edge: Identifiability and Singularity of Polynomial Neural Networks

Vahid Shahverdi ⋅ Giovanni Luca Marchetti ⋅ Kathlén Kohn

Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization

Vage Egiazarian ⋅ Roberto Castro ⋅ Denis Kuznedelev ⋅ Andrei Panferov ⋅ Eldar Kurtic ⋅ Shubhra Pandit ⋅ Alexandre Marques ⋅ Mark Kurtz ⋅ Saleh Ashkboos ⋅ Torsten Hoefler ⋅ Dan Alistarh

Benchmarking LLM Tool-Use in the Wild

Peijie Yu ⋅ Wei Liu ⋅ Yifan Yang ⋅ Jinjian Li ⋅ Zelong Zhang ⋅ Xiao Feng ⋅ feng zhang

Inductive Reasoning for Temporal Knowledge Graphs with Emerging Entities

Ze Zhao ⋅ Yuhui He ⋅ Lyuwen Wu ⋅ Gu Tang ⋅ Bin Lu ⋅ Xiaoying Gan ⋅ Luoyi Fu ⋅ Xinbing Wang ⋅ Chenghu Zhou

Composer: A Search Framework for Hybrid Neural Architecture Design

Bilge Acun ⋅ Prasoon Sinha ⋅ Newsha Ardalani ⋅ Sangmin Bae ⋅ Alicia Golden ⋅ Meghana Madhyastha ⋅ Chien-Yu Lin ⋅ Fei Sun ⋅ Neeraja Yadwadkar ⋅ Carole-Jean Wu

Learning Semi-Structured Sparsity for LLMs via Shared and Context-Aware Hypernetwork

Lu Sun ⋅ Jun Sakuma

FoNE: Precise Single-Token Number Embeddings via Fourier Features

Tianyi Zhou ⋅ Deqing Fu ⋅ Mahdi Soltanolkotabi ⋅ Robin Jia ⋅ Vatsal Sharan

BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity

Shiwei Li ⋅ Xiandi Luo ⋅ Haozhao Wang ⋅ Xing Tang ⋅ Ziqiang Cui ⋅ Dugang Liu ⋅ Yuhua Li ⋅ Yichen Li ⋅ xiuqiang He ⋅ Ruixuan Li

Compositional Generalization from Learned Skills via CoT Training: A Theoretical and Structural Analysis for Reasoning

Xinhao Yao ⋅ Ruifeng Ren ⋅ Yun Liao ⋅ Lizhong Ding ⋅ Yong Liu

Understanding the Learning Phases in Self-Supervised Learning via Critical Periods

JangHyeon Lee ⋅ Philipe Dias ⋅ Yao-Yi Chiang ⋅ Dalton Lunga

Batch Pruning by Activation Stability

Md Mustakin Alam ⋅ Shaker Islam ⋅ Aminul Islam

Can Language Models Discover Scaling Laws?

Haowei Lin ⋅ Haotian Ye ⋅ Wenzheng Feng ⋅ Quzhe Huang ⋅ Yujun Li ⋅ Hubert Lim ⋅ Zhengrui Li ⋅ Xiangyu Wang ⋅ Jianzhu Ma ⋅ Yitao Liang ⋅ James Y Zou

Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems

Zhangchi Zhu ⋅ Wei Zhang

Beyond Uniformity: Regularizing Implicit Neural Representations through a Lipschitz Lens

Julian McGinnis ⋅ Suprosanna Shit ⋅ Florian A. Hölzl ⋅ Paul Friedrich ⋅ Paul Büschl ⋅ Vasiliki Sideri-Lampretsa ⋅ Mark Mühlau ⋅ Philippe Cattin ⋅ Bjoern Menze ⋅ Daniel Rueckert ⋅ Benedikt Wiestler

On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond

Chenxiao Yang ⋅ Cai Zhou ⋅ David Wipf ⋅ Zhiyuan Li

Train-before-Test Harmonizes Language Model Rankings

Guanhua Zhang ⋅ Ricardo Dominguez-Olmedo ⋅ Moritz Hardt

Learn More with Less: Uncertainty Consistency Guided Query Selection for RLVR

Hao Yi ⋅ Yulan Hu ⋅ Xin Li ⋅ Sheng Ouyang ⋅ Lizhong Ding ⋅ Yong Liu

Choices Speak Louder than Questions

Gyeongje Cho ⋅ Yeonkyoung So ⋅ Jaejin Lee

E²LoRA: Efficient and Effective Low-Rank Adaptation with Entropy-Guided Adaptive Sharing

Minglei Li ⋅ Peng Ye ⋅ Jingqi Ye ⋅ Haonan He ⋅ Tao Chen

DRIFT: Decompose, Retrieve, Illustrate, then Formalize Theorems

Meiru Zhang ⋅ Philipp Borchert ⋅ Milan Gritta ⋅ Gerasimos Lampouras

Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification

Lukas Rauch ⋅ René Heinrich ⋅ Houtan Ghaffari ⋅ Lukas Miklautz ⋅ Ilyass Moummad ⋅ Bernhard Sick ⋅ Christoph Scholz

Soft Tokens, Hard Truths

Natasha Butt ⋅ Ariel Kwiatkowski ⋅ Ismail Labiad ⋅ Julia Kempe ⋅ Yann Ollivier

Qronos: Correcting the Past by Shaping the Future... in Post-Training Quantization

Shihao Zhang ⋅ Haoyu Zhang ⋅ Ian Colbert ⋅ Rayan Saab

Social Agents: Collective Intelligence Improves LLM Predictions

Aanisha Bhattacharyya ⋅ Abhilekh Borah ⋅ Yaman Singla ⋅ Rajiv Ratn Shah ⋅ Changyou Chen ⋅ Balaji Krishnamurthy

Relatron: Automating Relational Machine Learning over Relational Databases

Zhikai Chen ⋅ Han Xie ⋅ Jian Zhang ⋅ Jiliang Tang ⋅ Xiang song ⋅ Huzefa Rangwala

ReFeR: Improving Evaluation and Reasoning through Hierarchy of Models

Yaswanth Narsupalli · Abhranil Chandra · Sreevatsa Muppirala · Manish Gupta · Pawan Goyal

GeoGramBench: Benchmarking the Geometric Program Reasoning in Modern LLMs

Shixian Luo ⋅ Zhu zezhou ⋅ Yu Yuan ⋅ Yuncheng Yang ⋅ Lianlei Shan ⋅ Yong Wu

PepTri: Tri-Guided All-Atom Diffusion for Peptide Design via Physics, Evolution, and Mutual Information

Ngoc-Quang Nguyen ⋅ Jaeyoon Jung ⋅ Seijung Kim ⋅ Sunkyu Kim ⋅ Jaewoo Kang

Scaling Laws and Symmetry, Evidence from Neural Force Fields

Nhat Khang Ngo ⋅ Siamak Ravanbakhsh

PoseX: AI Defeats Physics-based Methods on Protein Ligand Cross-Docking

Yize Jiang ⋅ Xinze Li ⋅ Yuanyuan Zhang ⋅ Jin Han ⋅ Youjun Xu ⋅ Ayush Pandit ⋅ ZAIXI ZHANG ⋅ Mengdi Wang ⋅ Mengyang Wang ⋅ Chong Liu ⋅ Guang Yang ⋅ Yejin Choi ⋅ Yingzhou Lu ⋅ Wu-Jun Li ⋅ Tianfan Fu ⋅ Fang Wu ⋅ Junhong Liu

SAIR: Enabling Deep Learning for Protein-Ligand Interactions with a Synthetic Structural Dataset

Pablo Lemos ⋅ Zane Beckwith ⋅ Sasaank Bandi ⋅ Maarten Van Damme ⋅ Jordan Crivelli-Decker ⋅ Benjamin Shields ⋅ Thomas Merth ⋅ Punit Jha ⋅ Nicola De Mitri ⋅ Tiffany Callahan ⋅ AJ Nish ⋅ Paul Abruzzo ⋅ Romelia Salomon-Ferrer ⋅ Martin Ganahl

FACET: A Fragment-Aware Conformer Ensemble Transformer

Duy Nguyen ⋅ Trung Nguyen ⋅ Hong Ha Le ⋅ Mai Truong ⋅ TrungTin Nguyen ⋅ Nhat Ho ⋅ Khoa Doan ⋅ Duy Duong-Tran ⋅ Li Shen ⋅ Daniel Sonntag ⋅ James Y Zou ⋅ Mathias Niepert ⋅ Hyojin Kim ⋅ Jonathan Allen

Tracking Equivalent Mechanistic Interpretations Across Neural Networks

Alan Sun ⋅ Mariya Toneva

Interpolation-Based Conditioning of Flow Matching Models for Bioisosteric Ligand Design

Yael Ziv ⋅ Martin Buttenschoen ⋅ Lukas Scheibelberger ⋅ Brian Marsden ⋅ Charlotte Deane

DCFold: Efficient Protein Structure Generation with Single Forward Pass

Zhe Zhang ⋅ Yuanning Feng ⋅ Yuxuan Song ⋅ Keyue Qiu ⋅ Hao Zhou ⋅ Wei-Ying Ma

Towards a Transferable Acceleration Method for Density Functional Theory

Zhe Liu ⋅ Yuyan Ni ⋅ Zhichen Pu ⋅ Qiming Sun ⋅ Siyuan Liu ⋅ Wen Yan

Verifier-Constrained Flow Expansion for Discovery Beyond the Data

Riccardo De Santi ⋅ Kimon Protopapas ⋅ Ya-Ping Hsieh ⋅ Andreas Krause

Greater than the Sum of Its Parts: Building Substructure into Protein Encoding Models

Robert Calef ⋅ Arthur Liang ⋅ Manolis Kellis ⋅ Marinka Zitnik

Protein Structure Tokenization via Geometric Byte Pair Encoding

Michael Sun ⋅ Weize Yuan ⋅ Gang Liu ⋅ Wojciech Matusik ⋅ Marinka Zitnik

Efficient Prediction of Large Protein Complexes via Subunit-Guided Hierarchical Refinement

Chixiang Lu ⋅ Yunhua Zhong ⋅ Shikang Liang ⋅ XIAOJUAN QI ⋅ Haibo Jiang

Evaluating Machine Learned Inter-Atomic Potentials for a Practical Simulation Workflow

Richard Strunk ⋅ Karnik Ram ⋅ Daniel Cremers

Training Dynamics of Learning 3D-Rotational Equivariance

Max W. Shen · Ewa Nowara · Michael Maser · Kyunghyun Cho

Zephyrus: An Agentic Framework for Weather Science

Sumanth Varambally ⋅ Marshall Fisher ⋅ Jas Thakker ⋅ Yiwei Chen ⋅ Zhirui Xia ⋅ Yasaman Jafari ⋅ Ruijia Niu ⋅ Manas Jain ⋅ Veeramakali Vignesh Manivannan ⋅ Zachary Novack ⋅ Luyu Han ⋅ Srikar Eranky ⋅ Salva Rühling Cachay ⋅ Taylor Berg-Kirkpatrick ⋅ Duncan Watson-Parris ⋅ Yian Ma ⋅ Rose Yu

High Probability Bounds for Non-Convex Stochastic Optimization with Momentum

Shaojie Li ⋅ Pengwei Tang ⋅ Bowei Zhu ⋅ Yong Liu

FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching

Bernardo Perrone Ribeiro ⋅ Jana Faganeli Pucer

HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data

Hiren Madhu ⋅ João Felipe Rocha ⋅ Tinglin Huang ⋅ Siddharth Viswanath ⋅ Smita Krishnaswamy ⋅ Rex Ying

RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion

Tianmeng Hu ⋅ Yongzheng Cui ⋅ Biao Luo ⋅ Ke Li

CDBridge: A Cross-omics Post-training Bridge Strategy for Context-aware Biological Modeling

Chang Yu ⋅ Siyuan Li ⋅ Zicheng Liu ⋅ Jingbo Zhou ⋅ Xianglong Guo ⋅ Kai Yu ⋅ Yuqing Zhou ⋅ Ken Li ⋅ Zelin Zang ⋅ Zhen Lei ⋅ Stan Z Li

GeneBreaker: Jailbreak Attacks against DNA Language Models with Pathogenicity Guidance

ZAIXI ZHANG ⋅ Zhenghong Zhou ⋅ Ruofan Jin ⋅ Le Cong ⋅ Mengdi Wang

CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models

Weining Fu ⋅ Kai Shu ⋅ Kui Xu ⋅ Qiangfeng Zhang

CP-Agent: Context‑Aware Multimodal Reasoning for Cellular Morphological Profiling under Chemical Perturbations

Yuxin Zhang ⋅ Yiyao Li ⋅ Ping Ho ⋅ Simon See ⋅ Zhenqin Wu ⋅ Kevin Tsia

SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation

Jiahao Zhao ⋅ Feng Jiang ⋅ Shaowei Qin ⋅ Zhonghui Zhang ⋅ Junhao Liu ⋅ Guibing Guo ⋅ Hamid Alinejad-Rokny ⋅ Min Yang

WFR-FM: Simulation-Free Dynamic Unbalanced Optimal Transport

Qiangwei Peng ⋅ Zihan Wang ⋅ Junda Ying ⋅ Yuhao Sun ⋅ Qing Nie ⋅ Lei Zhang ⋅ Tiejun Li ⋅ Peijie Zhou

TusoAI: Agentic Optimization for Scientific Methods

Alistair Turcan ⋅ Kexin Huang ⋅ Lei Li ⋅ Martin J. Zhang

Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models

Chengyu Fang ⋅ Heng Guo ⋅ Zheng Jiang ⋅ Chunming He ⋅ Xiu Li ⋅ Minfeng Xu

Can Large Language Models Match the Conclusions of Systematic Reviews?

Christopher Polzak ⋅ Alejandro Lozano ⋅ Min Sun ⋅ James Burgess ⋅ Yuhui Zhang ⋅ Kevin Wu ⋅ Chia-Chun Chiang ⋅ Jeffrey J. Nirschl ⋅ Serena Yeung

Moving Beyond Medical Exams: A Clinician-Annotated Fairness Dataset of Real-World Tasks and Ambiguity in Mental Healthcare

Max Lamparth ⋅ Declan Grabb ⋅ Amy Franks ⋅ Scott Gershan ⋅ Kaitlyn Kunstman ⋅ Aaron Lulla ⋅ Monika Roots ⋅ Manu Sharma ⋅ Aryan Shrivastava ⋅ Nina Vasan ⋅ Colleen Waickman

Random Anchors with Low-rank Decorrelated Learning: A Minimalist Pipeline for Class-Incremental Medical Image Classification

Xinyao Wu ⋅ Zhe Xu ⋅ Raymond Kai-yu Tong

OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography

Hanchen Wang ⋅ Yixuan Wu ⋅ Yinan Feng ⋅ Peng Jin ⋅ Luoyuan Zhang ⋅ Shihang Feng ⋅ James Wiskin ⋅ Baris Turkbey ⋅ Peter Pinto ⋅ Bradford Wood ⋅ Songting Luo ⋅ Yinpeng Chen ⋅ Emad Boctor ⋅ Youzuo Lin

U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding

Anjie Le ⋅ Henan Liu ⋅ Yue Wang ⋅ Zhenyu Liu ⋅ Rongkun Zhu ⋅ Taohan Weng ⋅ Jinze Yu ⋅ Boyang Wang ⋅ Yalun Wu ⋅ Kaiwen Yan ⋅ Quanlin Sun ⋅ Meirui Jiang ⋅ Jialun Pei ⋅ Siya Liu ⋅ Haoyun Zheng ⋅ Zhoujun Li ⋅ J. Alison Noble ⋅ Jacques Souquet ⋅ Xiaoqing Guo ⋅ Manxi Lin ⋅ Hongcheng Guo

KnowGuard: Knowledge-Driven Abstention for Multi-Round Clinical Reasoning

Xilin Dang ⋅ Kexin Chen ⋅ Xiaorui Su ⋅ Ayush Noori ⋅ Iñaki Arango ⋅ Lucas Vittor ⋅ LONG XINYI ⋅ Yuyang Du ⋅ Marinka Zitnik ⋅ Pheng-Ann Heng

AbdCTBench: Learning Clinical Biomarker Representations from Abdominal Surface Geometry

Muhammad Ahmed Chaudhry ⋅ Suhana Bedi ⋅ Pola Lydia Lagari ⋅ Brian Layden ⋅ William Galanter ⋅ Ayis Pyrros ⋅ Sanmi Koyejo

MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning

Zheng Jiang ⋅ Heng Guo ⋅ Chengyu Fang ⋅ Changchen Xiao ⋅ Xinyang Hu ⋅ Lifeng Sun ⋅ Minfeng Xu

Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks

Miao Jing ⋅ Mengting Jia ⋅ Junling Lin ⋅ Zhongxia Shen ⋅ Huan Gao ⋅ Mingkun Xu ⋅ Shangyang Li

sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals

Weixuan Yuan ⋅ Zengrui Jin ⋅ Yichen Wang ⋅ Donglin Xie ⋅ Ziyi Ye ⋅ Chao Zhang ⋅ Xuesong Chen

MedLesionVQA: A Multimodal Benchmark Emulating Clinical Visual Diagnosis for Body Surface Health

Deli Yu ⋅ Shengzhi Wang ⋅ Kai WU ⋅ Xiaozhong Ji ⋅ Bo Cui ⋅ Jieqiong Cao ⋅ Huichao Wang ⋅ Boyuan Jiang ⋅ Xu Wang ⋅ Qian Xu ⋅ ChaoGao ⋅ Yi Zhao ⋅ Dian Chen ⋅ Meng Li ⋅ Haifeng Wu ⋅ Yijun He ⋅ HaiHuaYang

CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question Answering

Yahan Li ⋅ Jifan Yao ⋅ John Bunyi ⋅ Adam Frank ⋅ Angel Hwang ⋅ Ruishan Liu

Critic–Adviser–Reviser Cyclic Refinement: Towards High-Quality EMR Corpus Generation with LLMs

Chen Ning ⋅ Xien Liu ⋅ Chenwei Yan ⋅ Xiao Zhang ⋅ Xinxin You ⋅ Yuxuan Zhou ⋅ xiangling fu ⋅ Ji Wu

HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction

Susu Hu ⋅ Qinghe Zeng ⋅ Nithya Bhasker ⋅ Jakob Nikolas Kather ⋅ Stefanie Speidel

Identity-Free Deferral For Unseen Experts

Joshua Strong ⋅ Pramit Saha ⋅ Yasin Ibrahim ⋅ Cheng Ouyang ⋅ J. Alison Noble

Temporally Detailed Hypergraph Neural ODE for Disease Progression Modeling

Tingsong Xiao ⋅ Yao Lee ⋅ Zelin Xu ⋅ Yupu Zhang ⋅ Zibo Liu ⋅ Yu Huang ⋅ Jiang Bian ⋅ Jingchuan Guo ⋅ Zhe Jiang

RealPDEBench: A Benchmark for Complex Physical Systems with Real-World Data

Peiyan Hu ⋅ Haodong Feng ⋅ Hongyuan Liu ⋅ Tongtong Yan ⋅ Wenhao Deng ⋅ Tianrun Gao ⋅ Rong Zheng ⋅ Haoren Zheng ⋅ Chenglei Yu ⋅ Chuanrui Wang ⋅ Kaiwen Li ⋅ Zhi-Ming Ma ⋅ Dezhi Zhou ⋅ Xingcai Lu ⋅ Dixia Fan ⋅ Tailin Wu

GenCP: Towards Generative Modeling Paradigm of Coupled physics

Tianrun Gao ⋅ Haoren Zheng ⋅ Wenhao Deng ⋅ Haodong Feng ⋅ Tao Zhang ⋅ Ruiqi Feng ⋅ Qianyi Chen ⋅ Tailin Wu

DRIFT-Net: A Spectral-Coupled Neural Operator for PDEs Learning

jiayi li ⋅ Flora Salim

EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph

Nan Jiang ⋅ Ziyi Wang ⋅ Yexiang Xue

Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework

Ruihua Chen ⋅ Yisi Luo ⋅ Bangyu Wu ⋅ Deyu Meng

OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning

Kevin Valencia ⋅ Thilina Balasooriya ⋅ Xihaier Luo ⋅ Shinjae Yoo ⋅ David Park

Test-Time Accuracy-Cost Control in Neural Simulators via Recurrent-Depth

Harris Abdul Majid ⋅ Pietro Sittoni ⋅ Francesco Tudisco

CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators

Xianglong Hou ⋅ Xinquan Huang ⋅ Paris Perdikaris

ComPhy: Composing Physical Models with end-to-end Alignment

Alessandro Trenta ⋅ Andrea Cossu ⋅ Davide Bacciu

Fast training of accurate physics-informed neural networks without gradient descent

Chinmay Datar ⋅ Taniya Kapoor ⋅ Abhishek Chandra ⋅ Qing Sun ⋅ Erik L. Bolager ⋅ Iryna Burak ⋅ Anna Veselovska ⋅ Massimo Fornasier ⋅ Felix Dietrich

KANO: Kolmogorov-Arnold Neural Operator

Jin Lee ⋅ Ziming Liu ⋅ Xinling Yu ⋅ Yixuan Wang ⋅ Haewon Jeong ⋅ Murphy Niu ⋅ Zheng Zhang

Buckingham $\pi$-Invariant Test‑Time Projection for Robust PDE Surrogate Modeling

Seokki Lee ⋅ Min-Chul Park ⋅ Giyong Hong ⋅ Changwook Jeong

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization

Yong Chu ⋅ Xun Zhou ⋅ Zenglin Xu ⋅ HUI WANG ⋅ Yue Yu

Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics

Hanming Yang · Antonio Khalil Moretti · Sebastian Macaluso · Philippe Chlenski · Christian A. Naesseth · Itsik Pe'er

Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks

Kai Zeng ⋅ Zhanqian Wu ⋅ Kaixin Xiong ⋅ Xiaobao Wei ⋅ Xiangyu Guo ⋅ Zhenxin Zhu ⋅ Kalok Ho ⋅ Lijun Zhou ⋅ Bohan Zeng ⋅ Ming Lu ⋅ Haiyang Sun ⋅ Bing Wang ⋅ Guang Chen ⋅ Hangjun Ye ⋅ Wentao Zhang

Grounding Generative Planners in Verifiable Logic: A Hybrid Architecture for Trustworthy Embodied AI

Feiyu Wu ⋅ Xu Zheng ⋅ Yue Qu ⋅ Zhuocheng Wang ⋅ Zicheng Feng ⋅ HUI LI

Robust Fine-tuning of Vision-Language-Action Robot Policies via Parameter Merging

Yajat Yadav ⋅ Zhiyuan Zhou ⋅ Andrew Wagenmaker ⋅ Karl Pertsch ⋅ Sergey Levine

Real-Time Robot Execution with Masked Action Chunking

Haoxuan Wang ⋅ Gengyu Zhang ⋅ Yan Yan ⋅ Yuzhang Shang ⋅ Ramana Kompella ⋅ Gaowen Liu

RF-MatID: Dataset and Benchmark for Radio Frequency Material Identification

Xinyan Chen ⋅ Qinchun Li ⋅ Ruiqin Ma ⋅ Jiaqi Bai ⋅ Li Yi ⋅ Jianfei Yang

All-day Multi-scenes Lifelong Vision-and-Language Navigation with Tucker Adaptation

XUDONG WANG ⋅ Gan Li ⋅ Zhiyu Liu ⋅ Yao Wang ⋅ Lianqing Liu ⋅ Zhi Han

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

Yingyan Li ⋅ Shuyao Shang ⋅ Weisong Liu ⋅ Bing Zhan ⋅ Haochen Wang ⋅ Yuqi Wang ⋅ Yuntao Chen ⋅ Xiaoman Wang ⋅ Yasong An ⋅ Chufeng Tang ⋅ LU HOU ⋅ Lue Fan ⋅ Zhaoxiang Zhang

M$^3$E: Continual Vision-and-Language Navigation via Mixture of Macro and Micro Experts

Yongliang Jiang ⋅ Huaidong Zhang ⋅ Xuandi Luo ⋅ Shengfeng He

VLMgineer: Vision-Language Models as Robotic Toolsmiths

George Gao ⋅ Tianyu Li ⋅ Junyao Shi ⋅ Yihan Li ⋅ Zizhe Zhang ⋅ Nadia Figueroa ⋅ Dinesh Jayaraman

DexMove: Learning Tactile-Guided Non-Prehensile Manipulation with Dexterous Hands

Pei Lin ⋅ Yuzhe Huang ⋅ Wanlin Li ⋅ Chenxi Xiao ⋅ Ziyuan Jiao

Self-Improving Vision-Language-Action Models with Data Generation via Residual RL

Wenli Xiao ⋅ Haotian Lin ⋅ Andy Peng ⋅ Haoru Xue ⋅ Tairan He ⋅ Zhengyi Luo ⋅ Yuqi Xie ⋅ Fengyuan Hu ⋅ Jim Fan ⋅ Guanya Shi ⋅ Yuke Zhu

Differentiable Model Predictive Control on the GPU

Emre Adabag ⋅ Marcus Greiff ⋅ John Subosits ⋅ Thomas Lew

ManipEvalAgent: Promptable and Efficient Evaluation Framework for Robotic Manipulation Policies

Yiteng Chen ⋅ Huiping Zhuang ⋅ Wenbo Li ⋅ Shiyi Wang ⋅ Xiangyu Zhao ⋅ Qingyao Wu

VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing

Yixiao Wang ⋅ Mingxiao Huo ⋅ Zhixuan Liang ⋅ Yushi Du ⋅ Lingfeng Sun ⋅ Haotian Lin ⋅ Jinghuan Shang ⋅ Chensheng Peng ⋅ Mohit Bansal ⋅ Mingyu Ding ⋅ Masayoshi Tomizuka

Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies

Ce Hao ⋅ Xuanran Zhai ⋅ Yaohua Liu ⋅ Harold Soh

Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance

Yang Zhang ⋅ Chenwei Wang ⋅ ouyang lu ⋅ Yuan Zhao ⋅ Yunfei Ge ⋅ Zhenglong Sun ⋅ Xiu Li ⋅ Chi Zhang ⋅ Chenjia Bai ⋅ Xuelong Li

RoboOmni: Proactive Robot Manipulation in Omni-modal Context

Siyin Wang ⋅ Jinlan Fu ⋅ Feihong Liu ⋅ Xinzhe He ⋅ Huangxuan Wu ⋅ Junhao Shi ⋅ Kexin Huang ⋅ Zhaoye Fei ⋅ Jingjing Gong ⋅ Zuxuan Wu ⋅ Yu-Gang Jiang ⋅ See-Kiong Ng ⋅ Tat-Seng Chua ⋅ Xipeng Qiu

Towards Bridging the Gap between Large-Scale Pretraining and Efficient Finetuning for Humanoid Control

Weidong Huang ⋅ Zhehan Li ⋅ Hangxin Liu ⋅ Biao Hou ⋅ Yao Su ⋅ Jingwen Zhang

Uncertainty-Aware Gaussian Map for Vision-Language Navigation

Jianzhe Gao ⋅ Rui Liu ⋅ Yuxuan Xu ⋅ Tongtong Cao ⋅ Yingxue Zhang ⋅ Zhanguang Zhang ⋅ Sida Peng ⋅ Yi Yang ⋅ Wenguan Wang

Ground Slow, Move Fast: A Dual-System Foundation Model for Generalizable Vision-Language Navigation

Meng Wei ⋅ Chenyang Wan ⋅ Peng ⋅ Xiqian Yu ⋅ Yuqiang Yang ⋅ Delin Feng ⋅ Wenzhe Cai ⋅ Chenming Zhu ⋅ Tai Wang ⋅ Jiangmiao Pang ⋅ Xihui Liu

Autonomous Functional Play with Correspondence-Driven Trajectory Warping

William Liang ⋅ Sam Wang ⋅ Hung-Ju Wang ⋅ Osbert Bastani ⋅ Yecheng Jason Ma ⋅ Dinesh Jayaraman

$AutoDrive\text{-}P^3$: Unified Chain of Perception–Prediction–Planning Thought via Reinforcement Fine-Tuning

Yuqi Ye ⋅ Zijian Zhang ⋅ Junhong Lin ⋅ Shangkun Sun ⋅ Changhao Peng ⋅ Wei Gao

Capturing Visual Environment Structure Correlates with Control Performance

Jiahua Dong ⋅ Yunze Man ⋅ Pavel Tokmakov ⋅ Yu-Xiong Wang

COOPERTRIM: Adaptive Data Selection for Uncertainty-Aware Cooperative Perception

Shilpa Mukhopadhyay ⋅ Amit Roy-Chowdhury ⋅ Hang Qiu

Advancing Multi-agent Traffic Simulation via R1-Style Reinforcement Fine-Tuning

Muleilan Pei ⋅ Shaoshuai Shi ⋅ Shaojie Shen

Repurposing Foundation Model for Generalizable Medical Time Series Classification

Nan Huang ⋅ Haishuai Wang ⋅ Zihuai He ⋅ Marinka Zitnik ⋅ Xiang Zhang

Complexity- and Statistics-Guided Anomaly Detection in Time Series Foundation Models

Jongwon Kim ⋅ Samuel Yoon ⋅ Young Ko ⋅ Yerin Kim ⋅ Sung Kim ⋅ JAEUNG TAE

Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift

Zhiyuan Zhao ⋅ Haoxin Liu ⋅ B. Aditya Prakash

SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning

Tengxue Zhang ⋅ Biao Ouyang ⋅ Yang Shu ⋅ Xinyang Chen ⋅ Guo ⋅ Bin Yang

ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting

Jindong Tian ⋅ Yifei Ding ⋅ Ronghui Xu ⋅ Hao Miao ⋅ Guo ⋅ Bin Yang

GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series data

Cheng HE ⋅ Xu Huang ⋅ Gangwei Jiang ⋅ Zhaoyi Li ⋅ Defu Lian ⋅ Hong Xie ⋅ Enhong Chen ⋅ xijie liang ⋅ Zhengzengrong ⋅ Patrick P. C. Lee

Local Geometry Attention for Time Series Forecasting under Realistic Corruptions

Dongbin Kim ⋅ Youngjoo Park ⋅ Woojin Jeong ⋅ Jaewook Lee

Causal Score Conditioning for Multi-Resolution Latent Systems

Xuechun Li ⋅ Shan Gao ⋅ Susu Xu

Detection of unknown unknowns in autonomous systems

Ayan Banerjee ⋅ Sandeep Gupta

When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency

Ren Fujiwara ⋅ Yasuko Matsubara ⋅ Yasushi Sakurai

OWL : Geometry-Aware Spatial Reasoning for Audio Large Language Models

Subrata Biswas ⋅ Mohammad Khan ⋅ Bashima Islam

Death of the Novel(ty): Beyond N-Gram Novelty as a Metric for Textual Creativity

Arkadiy Saakyan ⋅ Najoung Kim ⋅ Smaranda Muresan ⋅ Tuhin Chakrabarty

Flipping the Dialogue: Training and Evaluating User Language Models

Tarek Naous ⋅ Philippe Laban ⋅ Wei Xu ⋅ Jennifer Neville

RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments

Zeyi Liao ⋅ Jaylen Jones ⋅ Linxi Jiang ⋅ Yuting Ning ⋅ Eric Fosler-Lussier ⋅ Yu Su ⋅ ZHIQIANG LIN ⋅ Huan Sun

Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models

David Bani-Harouni ⋅ Chantal Pellegrini ⋅ Paul Stangel ⋅ Ege Özsoy ⋅ Kamilia Zaripova ⋅ Nassir Navab ⋅ Matthias Keicher

GPS: Graph-guided Proactive Information Seeking in Large Language Models

Ruiqing Li ⋅ Yifeng Xu ⋅ Xinke Jiang ⋅ Zhibang Yang ⋅ Xinyu Ma ⋅ Yue Fang ⋅ Junfeng Zhao ⋅ Yasha Wang ⋅ Xu Chu

Learnable Fractional Superlets with a Spectro-Temporal Emotion Encoder for Speech Emotion Recognition

Alaa Nfissi ⋅ Wassim Bouachir ⋅ Nizar Bouguila ⋅ Brian Mishara

IterResearch: Rethinking Long-Horizon Agents with Interaction Scaling

Guoxin Chen ⋅ Zile Qiao ⋅ Xuanzhong Chen ⋅ Donglei Yu ⋅ Haotian Xu ⋅ Xin Zhao ⋅ Ruihua Song ⋅ Wenbiao Yin ⋅ Huifeng Yin ⋅ Liwen Zhang ⋅ Kuan Li ⋅ Minpeng Liao ⋅ Yong Jiang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Jingren Zhou

Data Selection for LLM Alignment Using Fine-Grained Preferences

Jia Zhang ⋅ Yao Liu ⋅ Chen-Xi Zhang ⋅ Yi Liu ⋅ Yi-Xuan Jin ⋅ Lan-Zhe Guo ⋅ Yu-Feng Li

VeriRole: Verifiable Role-Awareness through Hint-Guided Reinforcement Learning

Zongsheng Wang ⋅ Kaili Sun ⋅ Bowen Wu ⋅ qun yu ⋅ Ying Li ⋅ Xu Chen ⋅ Baoxun Wang

Enhancing Persona Following at Decoding Time via Dynamic Importance Estimation for Role-Playing Agents

Yuxin Liu ⋅ Mingye Zhu ⋅ Siyuan Liu ⋅ Bo Hu ⋅ Lei Zhang

BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping

Zhiheng Xi ⋅ Xin Guo ⋅ Yang Nan ⋅ Enyu Zhou ⋅ Junrui Shen ⋅ Wenxiang Chen ⋅ Jiaqi Liu ⋅ Jixuan Huang ⋅ Xun Deng ⋅ Zhihao Zhang ⋅ Honglin Guo ⋅ Zhikai Lei ⋅ Miao Zheng ⋅ Guoteng Wang ⋅ Peng Sun ⋅ Rui Zheng ⋅ Hang Yan ⋅ Tao Gui ⋅ Qi Zhang ⋅ Xuanjing Huang

A$^2$Search: Ambiguity-Aware Question Answering with Reinforcement Learning

Fengji Zhang ⋅ Xinyao Niu ⋅ Chengyang Ying ⋅ Guancheng Lin ⋅ Zhongkai Hao ⋅ Zhou Fan ⋅ Chengen Huang ⋅ Jacky Keung ⋅ Bei Chen ⋅ Junyang Lin

The Limits of Inference Scaling Through Resampling

Benedikt Stroebl ⋅ Sayash Kapoor ⋅ Arvind Narayanan

Hierarchical Semantic-Acoustic Modeling via Semi-Discrete Residual Representations for Expressive End-to-End Speech Synthesis

Yixuan Zhou ⋅ Guoyang Zeng ⋅ Xin Liu ⋅ Xiang Li ⋅ Renjie Yu ⋅ Ziyang Wang ⋅ Runchuan Ye ⋅ Weiyue Sun ⋅ Jiancheng Gui ⋅ Kehan Li ⋅ Zhiyong Wu ⋅ Zhiyuan Liu

CONCUR: A Framework for Continual Constrained and Unconstrained Routing

Peter Baile Chen ⋅ Weiyue Li ⋅ Dan Roth ⋅ Mike Cafarella ⋅ Samuel Madden ⋅ Jacob Andreas

MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning

Jiachun Li ⋅ Shaoping Huang ⋅ Zhuoran Jin ⋅ Chenlong Zhang ⋅ Pengfei Cao ⋅ Yubo Chen ⋅ Kang Liu ⋅ Jun Zhao

A Fano-Style Accuracy Upper Bound for LLM Single-Pass Reasoning in Multi-Hop QA

Kaiyang Wan ⋅ Lang Gao ⋅ Honglin Mu ⋅ Preslav Nakov ⋅ Yuxia Wang ⋅ Xiuying Chen

Confident and Adaptive Generative Speech Recognition via Risk Control

Amit Damri ⋅ Bracha Laufer-Goldshtein

Learning From Dictionary: Enhancing Robustness of Machine-Generated Text Detection in Zero-Shot Language via Adversarial Training

Yuanfan Li ⋅ Qi Zhou ⋅ Zexuan Xie

LiveWeb-IE: A Benchmark For Online Web Information Extraction

Seungbin Yang ⋅ Jihwan Kim ⋅ Jaemin Choi ⋅ Dongjin Kim ⋅ Soyoung Yang ⋅ ChaeHun Park ⋅ Jaegul Choo

Differential Fine-Tuning Large Language Models Towards Better Diverse Reasoning Abilities

Xiaosong Yuan ⋅ Chen Shen ⋅ Shaotian Yan ⋅ kaiyuan liu ⋅ Xiaofeng Zhang ⋅ Sinan Fan ⋅ Liang Xie ⋅ Wenxiao Wang ⋅ Renchu Guan ⋅ Ying Wang ⋅ Jieping Ye

AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval

Kai Zhang ⋅ Xinyuan Zhang ⋅ Ejaz Ahmed ⋅ Hongda Jiang ⋅ Caleb Kumar ⋅ Kai Sun ⋅ Zhaojiang Lin ⋅ Sanat Sharma ⋅ Shereen Oraby ⋅ AARON COLAK ⋅ Ahmed Aly ⋅ Anuj Kumar ⋅ Xiaozhong Liu ⋅ Xin Dong

ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge

Zhilin Wang ⋅ Jaehun Jung ⋅ Ximing Lu ⋅ Shizhe Diao ⋅ Ellie Evans ⋅ Jiaqi Zeng ⋅ Pavlo Molchanov ⋅ Yejin Choi ⋅ Jan Kautz ⋅ Yi Dong

Unmasking Backdoors: An Explainable Defense via Gradient-Attention Anomaly Scoring for Pre-trained Language Models

Anindya Sundar Das ⋅ Kangjie Chen ⋅ Monowar Bhuyan

Non-Collaborative User Simulators for Tool Agents

Jeonghoon Shim ⋅ Woojung Song ⋅ Cheyon Jin ⋅ Seungwon KooK ⋅ Yohan Jo

TVTSyn: Content-Synchronous Time-Varying Timbre for Streaming Voice Conversion and Anonymization

Waris Quamer ⋅ Mu-Ruei Tseng ⋅ Ghady Nasrallah ⋅ Ricardo Gutierrez-Osuna

PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra

Xiachong Feng ⋅ Liang Zhao ⋅ Weihong Zhong ⋅ yichong huang ⋅ Yuxuan Gu ⋅ Lingpeng Kong ⋅ Xiaocheng Feng ⋅ Bing Qin

Embedding-Based Context-Aware Reranker

Ye Yuan ⋅ Amin Shabani ⋅ Siqi Liu

Smarter Not Harder: Generative Process Evaluation with Intrinsic-Signal Driving and Ability‑Adaptive Reward Shaping

Tao He ⋅ Rongchuan Mu ⋅ Lizi Liao ⋅ Yixin Cao ⋅ Yang Li ⋅ Yijia Luo ⋅ Weixun Wang ⋅ Ming Liu ⋅ Bing Qin

CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs

Li Li ⋅ Ziyi Wang ⋅ Yongliang Wu ⋅ Jianfei Cai ⋅ xu yang

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Yinjie Wang ⋅ Ling Yang ⋅ Bowen Li ⋅ Ye Tian ⋅ Ke Shen ⋅ Mengdi Wang

Beyond Markovian Drifts: Action-Biased Geometric Walks with Memory for Personalized Summarization

Parthiv Chatterjee ⋅ Asish Batha ⋅ Tashvi patel ⋅ Sourish Dasgupta ⋅ Tanmoy Chakraborty

Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration

Yijia Shao ⋅ Vinay Samuel ⋅ Yucheng Jiang ⋅ John Yang ⋅ Diyi Yang

Dyna-Mind: Learning to Simulate from Experience for Better AI Agents

Xiao Yu ⋅ Baolin Peng ⋅ Michel Galley ⋅ Hao Cheng ⋅ Qianhui Wu ⋅ Janardhan Kulkarni ⋅ Suman Nath ⋅ Zhou Yu ⋅ Jianfeng Gao

Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory Utilization

Taeyoon Kwon ⋅ Dongwook Choi ⋅ Hyojun Kim ⋅ Sunghwan Kim ⋅ Seungjun Moon ⋅ Beong-woo Kwak ⋅ Kuan-Hao Huang ⋅ Jinyoung Yeo

LINGOLY-TOO: Disentangling Reasoning from Knowledge with Templatised Orthographic Obfuscation

Jude Khouja ⋅ Lingyi Yang ⋅ Karolina Korgul ⋅ Simi Hellsten ⋅ Vlad A. Neacșu ⋅ Harry Mayne ⋅ Ryan Kearns ⋅ Andrew Bean ⋅ Adam Mahdi

POEMetric: The Last Stanza of Humanity

Bingru Li ⋅ Han Wang ⋅ Hazel Wilkinson

SPARTA: Scalable and Principled Benchmark of Tree-Structured Multi-hop QA over Text and Tables

Sungho Park ⋅ Jueun Kim ⋅ Wook-Shin Han

GRO-RAG: Gradient-aware Re-rank Optimization for Multi-source Retrieval-Augmented Generation

Siyuan Chen ⋅ Hang Ding ⋅ Xiaoyu Kang ⋅ Jiechao Gao

AutoLibra: Agent Metric Induction from Open-Ended Human Feedback

Hao Zhu ⋅ Phil Cuvin ⋅ Xinkai Yu ⋅ Charlotte Yan ⋅ Jason Zhang ⋅ Diyi Yang

Rewriting Pre-Training Data Boosts LLM Performance in Math and Code

Kazuki Fujii ⋅ Yukito Tajima ⋅ Sakae Mizuki ⋅ Masaki Kawamura ⋅ Hinari Shimada ⋅ Taihei Shiotani ⋅ Koshiro Saito ⋅ Masanari Oi ⋅ Taishi Nakamura ⋅ Okamoto ⋅ Shigeki Ishida ⋅ Kakeru Hattori ⋅ Youmi Ma ⋅ Hiroya Takamura ⋅ Rio Yokota ⋅ Jun Sakuma ⋅ Naoaki Okazaki

FeatureBench: Benchmarking Agentic Coding for Complex Feature Development

Qixing Zhou ⋅ JiaCheng Zhang ⋅ Haiyang Wang ⋅ Rui Hao ⋅ Jiahe Wang ⋅ Minghao Han ⋅ Yuxue Yang ⋅ Shuzhe Wu ⋅ Feiyang Pan ⋅ Lue Fan ⋅ Dandan Tu ⋅ Zhaoxiang Zhang

A$^2$FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning

Qianben Chen ⋅ Jingyi Cao ⋅ Jiayu Zhang ⋅ Tianrui Qin ⋅ LiXiaowan ⋅ Zhu ⋅ Dingfeng Shi ⋅ He Zhu ⋅ Minghao Liu ⋅ Xiaobo Liang ⋅ Ge Zhang ⋅ Jian Yang ⋅ Yuchen Jiang ⋅ Wangchunshu Zhou

StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs

Yuhan Song ⋅ Linhao Zhang ⋅ Chuhan Wu ⋅ Aiwei Liu ⋅ Wei Jia ⋅ Houfeng Wang ⋅ Zhou Xiao

KnowProxy: Adapting Large Language Models by Knowledge-guided Proxy

Gukhyeon Lee ⋅ Yeachan Kim ⋅ SANGKEUN LEE

Heuristic-Based Ideation for Guiding LLMs Toward Structured Creativity

Xiao Liu ⋅ Haokun Liu ⋅ Chenhao Tan

StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs

Jialin Yang · Dongfu Jiang · Tony He · Sherman Siu · Yuxuan Zhang · Disen Liao · Zhuofeng Li · Huaye Zeng · Yiming Jia · Haozhe Wang · Benjamin Schneider · Chi Ruan · Wentao Ma · Zhiheng Lyu · Yifei Wang · Yi Lu · Quy Duc Do · Ziyan Jiang · Ping Nie · Wenhu Chen

Learning From the Past with Cascading Eligibility Traces

Tokiniaina Raharison Ralambomihanta ⋅ Ivan Anokhin ⋅ Roman Pogodin ⋅ Samira Ebrahimi Kahou ⋅ Jonathan Cornford ⋅ Blake A Richards

Evolution and compression in LLMs: on the emergence of human-aligned categorization

Nathaniel Imel ⋅ Noga Zaslavsky

Inferring brain plasticity rule under long-term stimulation with structured recurrent dynamics

Zhichao Liang ⋅ Jingzhe Lin ⋅ Xinyi Li ⋅ Guanyi Zhao ⋅ Quanying Liu

Estimating Dimensionality of Neural Representations from Finite Samples

Chanwoo Chun ⋅ Abdulkadir Canatar ⋅ SueYeon Chung ⋅ Daniel Lee

The Human Brain as a Dynamic Mixture of Expert Models in Video Understanding

Christina Sartzetaki ⋅ Anne Zonneveld ⋅ Pablo Oyarzo ⋅ Alessandro Gifford ⋅ Radoslaw Cichy ⋅ Pascal Mettes ⋅ Iris Groen

Towards Interpretable Visual Decoding with Attention to Brain Representations

Pinyuan Feng ⋅ Hossein Adeli ⋅ Wenxuan Guo ⋅ Fan Cheng ⋅ Ethan Hwang ⋅ Nikolaus Kriegeskorte

CerebraGloss: Instruction-Tuning a Large Vision-Language Model for Fine-Grained Clinical EEG Interpretation

Wei Gu ⋅ Tianming Luo ⋅ Qiran Zhang ⋅ Mohan Ye ⋅ Xiao Shen ⋅ Wenxin Chen ⋅ Yunhuan Li ⋅ Yichen Zhang ⋅ Jing Hong ⋅ Bao-liang Lu ⋅ Wei-Long Zheng

CogMoE: Signal-Quality–Guided Multimodal MoE for Cognitive Load Prediction

Aamir Shah ⋅ Yu Wen ⋅ Renjie Hu ⋅ Jiefu Chen ⋅ Jose Contreras-Vidal ⋅ Xuqing Wu ⋅ Xin Fu

Convex Efficient Coding

Will Dorrell ⋅ Peter Latham ⋅ James Whittington

Setting up for failure: automatic discovery of the neural mechanisms of cognitive errors

Puria Radmard ⋅ Paul Bays ⋅ Máté Lengyel

A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding

Jingyu Lu ⋅ Haonan Wang ⋅ Qixiang ZHANG ⋅ Xiaomeng Li

Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility

Michael Lepori ⋅ Jennifer Hu ⋅ Ishita Dasgupta ⋅ Roma Patel ⋅ Thomas Serre ⋅ Ellie Pavlick

HEEGNet: Hyperbolic Embeddings for EEG

Shanglin Li ⋅ Chu Shiwen ⋅ Okan Koc ⋅ Yi Ding ⋅ Qibin Zhao ⋅ Motoaki Kawanabe ⋅ Ziheng Chen

Discovering alternative solutions beyond the simplicity bias in recurrent neural networks

William Qian ⋅ Cengiz Pehlevan

Musculoskeletal simulation of limb movement biomechanics in Drosophila melanogaster

Pembe Gizem Özdil ⋅ Chuanfang Ning ⋅ Jasper Phelps ⋅ Sibo Wang-Chen ⋅ Guy Elisha ⋅ Auke Ijspeert ⋅ Pavan Ramdya

Are EEG Foundation Models Worth It? Comparative Evaluation with Traditional Decoders in Diverse BCI Tasks

Liuyin Yang ⋅ Qiang Sun ⋅ Ang Li ⋅ Marc Van Hulle

A foundation model with multi-variate parallel attention to generate neuronal activity

Francesco Carzaniga ⋅ Michael Hersche ⋅ Abu Sebastian ⋅ Kaspar Schindler ⋅ Abbas Rahimi

Pitfalls in Evaluating Language Model Forecasters

Daniel Paleka ⋅ Shashwat Goel ⋅ Jonas Geiping ⋅ Florian Tramer

Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding

Zihao Jing ⋅ Qiuhao Zeng ⋅ Ruiyi Fang ⋅ Yan Sun ⋅ Boyu Wang ⋅ Pingzhao Hu

xRFM: Accurate, scalable, and interpretable feature learning models for tabular data

Daniel Beaglehole ⋅ David Holzmüller ⋅ Adityanarayanan Radhakrishnan ⋅ Misha Belkin

Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search

Zhiyu Mou ⋅ Yiqin Lv ⋅ Miao Xu ⋅ Qi Wang ⋅ Yixiu Mao ⋅ Jinghao Chen ⋅ Qichen Ye ⋅ Chao Li ⋅ Rongquan Bai ⋅ Chuan Yu ⋅ Jian Xu ⋅ Bo Zheng

SK2Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skin

hanzhuo Tan ⋅ Weihao Li ⋅ Xiaolong Tian ⋅ Siyi Wang ⋅ Jiaming Liu ⋅ Jing Li ⋅ Yuqun Zhang

When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation

Zhishang Xiang ⋅ Chuanjie Wu ⋅ Qinggang Zhang ⋅ Shengyuan Chen ⋅ Zijin Hong ⋅ Xiao Huang ⋅ Jinsong Su

ASSESS: A Semantic and Structural Evaluation Framework for Statement Similarity

Xiaoyang Liu ⋅ Tao Zhu ⋅ Zineng Dong ⋅ Yuntian Liu ⋅ Guo qingfeng ⋅ Liu ZhaoXuan ⋅ Yu Chen ⋅ Tao Luo

jqBench: a benchmark for reading and editing JSON from natural language and/or examples

Gust Verbruggen ⋅ Chris Parnin ⋅ Vu Le ⋅ Sumit Gulwani

How Many Code and Test Cases Are Enough? Evaluating Test Cases Generation from a Binary-Matrix Perspective

Xianzhen Luo ⋅ JinYang Huang ⋅ Wenzhen Zheng ⋅ Qingfu Zhu ⋅ Mingzheng Xu ⋅ Yiheng Xu ⋅ YuanTao Fan ⋅ Wanxiang Che

Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading

Zifan Song ⋅ Kaitao Song ⋅ Guosheng Hu ⋅ Ding Qi ⋅ Junyao Gao ⋅ Xiaohua Wang ⋅ Dongsheng Li ⋅ Cai Zhao

Experience-based Knowledge Correction for Robust Planning in Minecraft

Seungjoon Lee ⋅ Suhwan Kim ⋅ Minhyeon Oh ⋅ Youngsik Yoon ⋅ Jungseul Ok

SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG

Xuechen Zhang ⋅ Koustava Goswami ⋅ Samet Oymak ⋅ Jiasi Chen ⋅ Nedim Lipka

HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics

Shufan Jiang ⋅ Sizhou Chen ⋅ Chi Zhang ⋅ Xiao-Lei Zhang ⋅ Xuelong Li

CoDA: Agentic Systems for Collaborative Data Visualization

Zichen Chen ⋅ Jiefeng Chen ⋅ Sercan Arik ⋅ Misha Sra ⋅ Tomas Pfister ⋅ Jinsung Yoon

SemHiTok: A Unified Image Tokenizer via Semantic-Guided Hierarchical Codebook for Multimodal Understanding and Generation

Zisheng Chen ⋅ Chunwei Wang ⋅ Runhui Huang ⋅ Hongbin Xu ⋅ Xiuwei Chen ⋅ Jun Zhou ⋅ Jianhua Han ⋅ Hang Xu ⋅ Xiaodan Liang

WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality

Chunyang Li ⋅ Yilun Zheng ⋅ Xinting Huang ⋅ Tianqing Fang ⋅ Jiahao Xu ⋅ Lihui Chen ⋅ Yangqiu Song ⋅ Winston Hu

Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval and Synthesis for SLMs

Shreyas Singh ⋅ Kunal Singh ⋅ Pradeep Moturi

Lean Finder: Semantic Search for Mathlib That Understands User Intents

Jialin Lu ⋅ Kye Emond ⋅ Kaiyu Yang ⋅ Swarat Chaudhuri ⋅ Weiran Sun ⋅ Wuyang Chen

Control Tax: The Price of Keeping AI in Check

Mikhail Terekhov ⋅ Zhen Liu ⋅ Caglar Gulcehre ⋅ Samuel Albanie

Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval

Junwei Lan ⋅ Jianlyu Chen ⋅ Zheng Liu ⋅ Chaofan Li ⋅ Siqi Bao ⋅ Defu Lian

LoC-Decomp: LLM Autoformalization via Logical Concept Decomposition and Iterative Feedback Correction

jiangze shi ⋅ Zhiwei Zhang ⋅ Baoquan Ma ⋅ Shuai Zhao ⋅ Ye Yuan ⋅ Guoren Wang

Persona Features Control Emergent Misalignment

Miles Wang ⋅ Tom Dupre la Tour ⋅ Olivia Watkins ⋅ Aleksandar Makelov ⋅ Ryan Chi ⋅ Samuel Miserendino ⋅ Jeffrey Wang ⋅ Achyuta Rajaram ⋅ Johannes Heidecke ⋅ Tejal Patwardhan ⋅ Daniel Mossing

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning

Shaokun Zhang ⋅ Yi Dong ⋅ Jieyu Zhang ⋅ Jan Kautz ⋅ Bryan Catanzaro ⋅ Andrew Tao ⋅ Qingyun Wu ⋅ Zhiding Yu ⋅ Guilin Liu

Reducing Semantic Mismatch in Brain-to-Text Decoding Through Personalized Multimodal Masking

Jiaxuan Chen ⋅ Yu Qi ⋅ Yueming Wang ⋅ Gang Pan

Reconciling Visual Perception and Generation in Diffusion Models

Liulei Li ⋅ Yi Yang ⋅ Wenguan Wang

SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human Feedback

Xiaoxuan He ⋅ Siming Fu ⋅ Wanli Li ⋅ Zhiyuan Li ⋅ Dacheng Yin ⋅ Kang Rong ⋅ Fengyun Rao ⋅ Bo Zhang

Activation Steering with a Feedback Controller

Dung Viet Nguyen ⋅ Yen Pham ⋅ Hieu Vu ⋅ Lei Zhang ⋅ Tan Nguyen

Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models

Hao Wang ⋅ Licheng Pan ⋅ Yuan Lu ⋅ Zi Chan ⋅ Tianqiao Liu ⋅ Shuting He ⋅ Zhixuan Chu ⋅ Qingsong Wen ⋅ Haoxuan Li ⋅ Zhouchen Lin

Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems

Ori Shem-ur ⋅ Khen Cohen ⋅ Yaron Oz

Nesterov Finds GRAAL: Optimal and Adaptive Gradient Method for Convex Optimization

Ekaterina Borodich ⋅ Dmitry Kovalev

What Matters for Batch Online Reinforcement Learning in Robotics?

Perry Dong ⋅ Suvir Mirchandani ⋅ Dorsa Sadigh ⋅ Chelsea Finn

Visual Jigsaw Post-Training Improves MLLMs

Penghao Wu ⋅ Yushan Zhang ⋅ Haiwen Diao ⋅ Bo Li ⋅ Lewei Lu ⋅ Ziwei Liu

RAPID$^3$: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer

Wangbo Zhao ⋅ Yizeng Han ⋅ Zhiwei Tang ⋅ Jiasheng Tang ⋅ Pengfei Zhou ⋅ Kai Wang ⋅ Bohan Zhuang ⋅ Zhangyang Wang ⋅ Fan Wang ⋅ Yang You

OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data

Alana Marzoev ⋅ Jillian Ross ⋅ Jacob Andreas

LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation

Jiazheng Xing ⋅ Fei Du ⋅ Hangjie Yuan ⋅ Pengwei Liu ⋅ Hongbin Xu ⋅ Hai Ci ⋅ Ruigang Niu ⋅ Weihua Chen ⋅ Fan Wang ⋅ Yong Liu

SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data

Andrea Zerio ⋅ Maya Bechler-Speicher ⋅ Maor Huri ⋅ Marie Vestergaard ⋅ Tine Jess ⋅ Ran Gilad-Bachrach ⋅ Samir Bhatt ⋅ Aleksejs Sazonovs

Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute

Kieran Didi ⋅ Zuobai Zhang ⋅ Guoqing Zhou ⋅ Danny Reidenbach ⋅ Zhonglin Cao ⋅ Sooyoung Cha ⋅ Tomas Geffner ⋅ Christian Dallago ⋅ Jian Tang ⋅ Michael Bronstein ⋅ Martin Steinegger ⋅ Emine Kucukbenli ⋅ Arash Vahdat ⋅ Karsten Kreis

Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents

Jenny Zhang ⋅ Shengran Hu ⋅ Cong Lu ⋅ Robert Lange ⋅ Jeff Clune

RMFlow: Refined Mean Flow by a Noise-Injection Step for Multimodal Generation

Yuhao Huang ⋅ Shih-Hsin Wang ⋅ Andrea Bertozzi ⋅ Bao Wang

Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression

Tingkai Yan ⋅ Haodong Wen ⋅ Binghui Li ⋅ Kairong Luo ⋅ Wenguang Chen ⋅ Kaifeng Lyu

Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning

Zhisheng Chen ⋅ Yingwei Zhang ⋅ Qizhen Lan ⋅ Tianyu Liu ⋅ Huacan Wang ⋅ Yi Ding ⋅ Ziyu Jia ⋅ Ronghao Chen ⋅ Kun Wang ⋅ XINLIANG ZHOU

Reinforcement Learning for Machine Learning Engineering Agents

Sherry Yang ⋅ Joy He-Yueya ⋅ Percy Liang

MuonBP: Faster Muon via Block-Periodic Orthogonalization

Ahmed Khaled ⋅ Kaan Ozkara ⋅ Tao Yu ⋅ Mingyi Hong ⋅ Youngsuk Park

ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning

Jiawei Gu ⋅ Yunzhuo Hao ⋅ Huichen Wang ⋅ Linjie Li ⋅ Michael Qizhe Shieh ⋅ Yejin Choi ⋅ Ranjay Krishna ⋅ Yu Cheng

CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit Design

Mingjun Wang ⋅ Yihan Wen ⋅ Yuntao Lu ⋅ Fengrui Liu ⋅ Yuxiang Zhao ⋅ Boyu Han ⋅ Jianan Mu ⋅ Yibo Lin ⋅ Runsheng Wang ⋅ Bei Yu ⋅ Huawei Li

Natural Language PDDL (NL-PDDL) for Open-world Goal-oriented Commonsense Regression Planning in Embodied AI

Xiaotian Liu ⋅ Armin Toroghi ⋅ Jiazhou Liang ⋅ David Courtis ⋅ Ruiwen Li ⋅ Ali Pesaranghader ⋅ Jaehong Kim ⋅ Tanmana Sadhu ⋅ Hyejeong Jeon ⋅ Scott Sanner

MoSA: Mosaic Shared Adaptation of Large Language Models

Xiequn Wang ⋅ Zhan ZHUANG ⋅ Shengda Luo ⋅ Yu Zhang

Poisson Midpoint Method for Log Concave Sampling: Beyond the Strong Error Lower Bounds

Rishikesh Srinivasan ⋅ Dheeraj Nagaraj

A Tale of Two Geometries: Adaptive Optimizers and Non-Euclidean Descent

Shuo Xie ⋅ Tianhao Wang ⋅ Beining Wu ⋅ Zhiyuan Li

Pyramid Patchification Flow for Visual Generation

Hui Li ⋅ Baoyou Chen ⋅ Jiaye Li ⋅ Jingdong Wang ⋅ Siyu Zhu

Sparsity Forcing: Reinforcing Token Sparsity of MLLMs

Feng Chen ⋅ YEFEI HE ⋅ Lequan Lin ⋅ Jing Liu ⋅ Chenhui Gou ⋅ Bohan Zhuang ⋅ Qi Wu

StochasTok: Improving Fine-Grained Subword Understanding in LLMs

Anya Sims ⋅ Thomas Foster ⋅ T. Nguyen-Hien ⋅ Klara Kaleb ⋅ Joseph Lee ⋅ Jakob Foerster ⋅ Yee Whye Teh ⋅ Cong Lu

Skirting Additive Error Barriers for Private Turnstile Streams

Anders Aamand ⋅ Justin Chen ⋅ Sandeep Silwal

Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions

Wang Zhu ⋅ Tian-qi Chen ⋅ Xinyan Yu ⋅ Ching Lin ⋅ Jade Law ⋅ Mazen Jizzini ⋅ Jorge Nieva ⋅ Ruishan Liu ⋅ Robin Jia

PERSISTENCE SPHERES: BI-CONTINUOUS REPRESENTATIONS OF PERSISTENCE DIAGRAMS.

Matteo Pegoraro

Nasty Adversarial Training: A Probability Sparsity Perspective for Robustness Enhancement

Yuhang Zhou ⋅ Zhongyun Hua ⋅ Zhaoquan Gu ⋅ Keke Tang ⋅ Rushi Lan ⋅ Yushu Zhang ⋅ Qing Liao ⋅ Leo Zhang

On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations

Jianing Guo ⋅ Zhenhong Wu ⋅ Chang Tu ⋅ Yiyao Ma ⋅ Xiangqi Kong ⋅ Zhiqian Liu ⋅ Jiaming Ji ⋅ Shuning Zhang ⋅ Yuanpei Chen ⋅ Kai Chen ⋅ Qi Dou ⋅ Yaodong Yang ⋅ Xianglong Liu ⋅ Huijie Zhao ⋅ Weifeng Lv ⋅ Simin Li

DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle

Yuheng Tang ⋅ Kaijie Zhu ⋅ Bonan Ruan ⋅ Chuqi Zhang ⋅ Michael Yang ⋅ Hongwei Li ⋅ Suyue Guo ⋅ Tianneng Shi ⋅ Zekun Li ⋅ Christopher Kruegel ⋅ Giovanni Vigna ⋅ Dawn Song ⋅ William Wang ⋅ Lun Wang ⋅ Yangruibo Ding ⋅ Zhenkai Liang ⋅ Wenbo Guo

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting

Haomiao Qiu ⋅ Miao Zhang ⋅ Ziyue Qiao ⋅ Weili Guan ⋅ Min Zhang ⋅ Liqiang Nie

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

Zijian Zhou ⋅ Ao Qu ⋅ Zhaoxuan Wu ⋅ Sunghwan Kim ⋅ Alok Prakash ⋅ Daniela Rus ⋅ Bryan Kian Hsiang Low ⋅ Paul Liang

To Compress or Not? Pushing the Frontier of Lossless GenAI Model Weights Compression with Exponent Concentration

Zeyu Yang ⋅ Tianyi Zhang ⋅ Jianwen Xie ⋅ Chuan Li ⋅ Zhaozhuo Xu ⋅ Anshumali Shrivastava

Cross-Modal Redundancy and the Geometry of Vision–Language Embeddings

Grégoire DHIMOÏLA ⋅ Thomas Fel ⋅ Victor Boutin ⋅ Agustin Picard

AttTok: Marrying Attribute Tokens with Generative Pre-trained Vision-Language Models towards Medical Image Understanding

Hualiang Wang ⋅ Xinyue Xu ⋅ Lehan Wang ⋅ Bin Pu ⋅ Xiaomeng Li

Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

Vaishnavi Shrivastava ⋅ Ahmed H Awadallah ⋅ Vidhisha Balachandran ⋅ Shivam Garg ⋅ Harkirat Behl ⋅ Dimitris Papailiopoulos

SketchEvo: Leveraging Drawing Dynamics for Enhanced Image Synthesis

Zhixin Feng ⋅ Runan Yin ⋅ LAN YANG ⋅ Kaiyue Pang ⋅ Ke Li ⋅ Honggang Zhang ⋅ Yi-Zhe Song

NLI : Non-uniform Linear Interpolation Approximation of Nonlinear Operations for Efficient LLMs Inference

Jiangyong Yu ⋅ Xiaomeng Han ⋅ Xing Hu ⋅ XUCHEN ⋅ Zhe jiang ⋅ Dawei Yang

On Predictability of Reinforcement Learning Dynamics for Large Language Models

Cai Yuchen ⋅ Ding Cao ⋅ Xin Xu ⋅ Zijun Yao ⋅ Yuqing Huang ⋅ Benyi Zhang ⋅ Zhenyu Tan ⋅ Guiquan Liu ⋅ Junfeng Fang

Dichotomous Diffusion Policy Optimization

Ruiming Liang ⋅ Yinan Zheng ⋅ Kexin ZHENG ⋅ Tianyi Tan ⋅ Jianxiong Li ⋅ Liyuan Mao ⋅ Zhihao Wang ⋅ Guang Chen ⋅ Hangjun Ye ⋅ Jingjing Liu ⋅ Jinqiao Wang ⋅ Xianyuan Zhan

OPRIDE: Efficient Offline Preference-based Reinforcement Learning via In-Dataset Exploration

Yiqin Yang ⋅ Hao Hu ⋅ Yihuan Mao ⋅ Jin Zhang ⋅ Chengjie Wu ⋅ Yuhua Jiang ⋅ Xu Yang ⋅ Runpeng Xie ⋅ Yi Fan ⋅ Bo Liu ⋅ Yang Gao ⋅ Bo XU ⋅ Chongjie Zhang

Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling

Sachin Goyal ⋅ David Lopez-Paz ⋅ Kartik Ahuja

Consis-GCPO: Consistency-Preserving Group Causal Preference Optimization for Vision Customization

Qiaoqiao Jin ⋅ Dong She ⋅ Siming Fu ⋅ Hualiang Wang ⋅ weihao zhou ⋅ Jidong Jiang

Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search

Xun Huang ⋅ Simeng Qin ⋅ Xiaoshuang Jia ⋅ Ranjie Duan ⋅ Huanqian Yan ⋅ Zhitao Zeng ⋅ Fei Yang ⋅ Yang Liu ⋅ Yang Liu

Seesaw: Accelerating Training by Balancing Batch Size and Learning Rate Scheduling

Alexandru Meterez ⋅ Depen Morwani ⋅ Jingfeng Wu ⋅ Costin-Andrei Oncescu ⋅ Cengiz Pehlevan ⋅ Sham Kakade

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling

Xinhao Li ⋅ Yi Wang ⋅ Jiashuo Yu ⋅ Xiangyu Zeng ⋅ Yuhan Zhu ⋅ Haian Huang ⋅ Jianfei Gao ⋅ Kunchang Li ⋅ Yinan He ⋅ Chenting Wang ⋅ Yu Qiao ⋅ Yali Wang ⋅ Limin Wang

PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction For Continual Learning

Simon Yu ⋅ Gang Li ⋅ Weiyan Shi ⋅ Peng Qi

SR-Scientist: Scientific Equation Discovery With Agentic AI

Shijie Xia ⋅ Yuhan Sun ⋅ Pengfei Liu

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Kunhao Liu ⋅ Wenbo Hu ⋅ Jiale Xu ⋅ Ying Shan ⋅ Shijian Lu

Tree-sliced Sobolev IPM

Viet-Hoang Tran ⋅ Thanh Q. Tran ⋅ Thanh Chu ⋅ Duy-Tung Pham ⋅ Trung-Khang Tran ⋅ Tam Le ⋅ Tan Nguyen

Hierarchical Encoding Tree with Modality Mixup for Cross-modal Hashing

Zhiping Xiao ⋅ Junyu Luo ⋅ Hang Zhou ⋅ Yusheng Zhao ⋅ Xiao Luo ⋅ Pengyun Wang ⋅ Wei Ju ⋅ Siyu Heng ⋅ Ming Zhang

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization

Haonian Ji ⋅ Shi Qiu ⋅ Siyang Xin ⋅ Siwei Han ⋅ Zhaorun Chen ⋅ Dake Zhang ⋅ Hongyi Wang ⋅ Huaxiu Yao

BaseReward: A Strong Baseline for Multimodal Reward Model

YiFan Zhang ⋅ HaiHuaYang ⋅ Huanyu Zhang ⋅ Yang Shi ⋅ Zezhou Chen ⋅ Haochen Tian ⋅ Chaoyou Fu ⋅ Kai WU ⋅ Bo Cui ⋅ Xu Wang ⋅ Jianfei Pan ⋅ Haotian Wang ⋅ Zhang Zhang ⋅ Liang Wang

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Zhenghai Xue ⋅ Longtao Zheng ⋅ Qian Liu ⋅ Yingru Li ⋅ Xiaosen Zheng ⋅ Zejun MA ⋅ Bo An

Taming Curvature: Architecture Warm-up for Stable Transformer Training

Sameera Ramasinghe ⋅ Thalaiyasingam Ajanthan ⋅ Hadi Mohaghegh Dolatabadi ⋅ Chamin Hewa Koneputugodage ⋅ Gil Avraham ⋅ Violetta Shevchenko ⋅ Yan Zuo ⋅ Karol Pajak ⋅ Alexander Long

Scaling Agents via Continual Pre-training

Liangcai Su ⋅ Zhen Zhang ⋅ Guangyu Li ⋅ Zhuo Chen ⋅ Chenxi Wang ⋅ Maojia Song ⋅ Xinyu Wang ⋅ Kuan Li ⋅ Jialong Wu ⋅ Xuanzhong Chen ⋅ Zile Qiao ⋅ Zhongwang Zhang ⋅ Huifeng Yin ⋅ Shihao Cai ⋅ Runnan Fang ⋅ Zhengwei Tao ⋅ Wenbiao Yin ⋅ Rui Ye ⋅ Yong Jiang ⋅ Ningyu Zhang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Kai Ye ⋅ Kewei Tu ⋅ Chenxiong Qian ⋅ Jingren Zhou

LeRobot: An Open-Source Library for End-to-End Robot Learning

Remi Cadene ⋅ Simon Alibert ⋅ Francesco Capuano ⋅ Michel Aractingi ⋅ Adil Zouitine ⋅ Pepijn Kooijmans ⋅ Jade Choghari ⋅ Martino Russi ⋅ Caroline Pascal ⋅ Steven Palma ⋅ Dana Aubakirova ⋅ Mustafa Shukor ⋅ Jess Moss ⋅ Alexander Soare ⋅ Quentin Lhoest ⋅ Quentin Gallouédec ⋅ Thomas Wolf

Q&C: When Quantization Meets Cache in Efficient Generation

Xin Ding ⋅ Xin Li ⋅ Haotong Qin ⋅ Zhibo Chen

CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering

Yang Zhao ⋅ Chengxiao Dai ⋅ Wei Zhuo ⋅ Yue Xiu ⋅ Dusit Niyato

FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning

LIANG HU ⋅ Jianpeng Jiao ⋅ Jiashuo Liu ⋅ Dongyuan Mutu ⋅ Yanle Ren ⋅ Zhoufutu Wen ⋅ Kaiyuan Zhang ⋅ Xuanliang Zhang ⋅ Xiang Gao ⋅ Tianci He ⋅ FEI HU ⋅ Yali Liao ⋅ Zaiyuan Wang ⋅ Jingkai Liu ⋅ Sun Daibin ⋅ Ziqing Zeng ⋅ zhiyuan zeng ⋅ Chenghao Yang ⋅ Qianyu Yang ⋅ Mingren Yin ⋅ Ge Zhang ⋅ Xinyi zhang ⋅ Xiying ZHAO ⋅ Zhu Zhenwei ⋅ Hongseok Namkoong ⋅ Wenhao Huang

CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation

Letian Zhou ⋅ Songhua Liu ⋅ Xinchao Wang

DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference

Xiang Liu ⋅ Xuming Hu ⋅ Xiaowen Chu ⋅ Eunsol Choi

R-WoM: Retrieval-augmented World Model For Computer-use Agents

Kai Mei ⋅ Jiang Guo ⋅ Shuaichen Chang ⋅ Mingwen Dong ⋅ Dongkyu Lee ⋅ Xing Niu ⋅ Jiarong Jiang

TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them

Yidong Wang ⋅ Yunze Song ⋅ Tingyuan Zhu ⋅ Xuanwang Zhang ⋅ Zhuohao Yu ⋅ Hao Chen ⋅ Chiyu Song ⋅ Qiufeng Wang ⋅ Zhen Wu ⋅ Xin-Yu Dai ⋅ Yue Zhang ⋅ Cunxiang Wang ⋅ Wei Ye ⋅ Shikun Zhang

Joint Distribution–Informed Shapley Values for Sparse Counterfactual Explanations

Lei You ⋅ Yijun Bian ⋅ Lele Cao

GTA1: GUI Test-time Scaling Agent

Yan Yang ⋅ Dongxu Li ⋅ Yutong Dai ⋅ Yuhao Yang ⋅ Ziyang Luo ⋅ Zirui Zhao ⋅ Zhiyuan Hu ⋅ Junzhe Huang ⋅ Amrita Saha ⋅ Zeyuan Chen ⋅ Ran Xu ⋅ Liyuan Pan ⋅ Caiming Xiong ⋅ Junnan Li

Frozen Priors, Fluid Forecasts: Prequential Uncertainty for Low-Data Deployment with Pretrained Generative Models

Fernando Ruiz-Mazo ⋅ Vikas Garg

Efficient Testing for Correlation Clustering: Improved Algorithms and Optimal Bounds

Chengyuan Deng ⋅ Jie Gao ⋅ Songhua He ⋅ Chen Wang

How to Lose Inherent Counterfactuality in Reinforcement Learning

Ezgi Korkmaz

Transformers as Measure-Theoretic Associative Memory: A Statistical Perspective and Minimax Optimality

Ryotaro Kawata ⋅ Taiji Suzuki

Conformalized Survival Counterfactuals Prediction for General Right-Censored Data

Sijie Ren ⋅ Meng Yan ⋅ Zhen Zhang ⋅ Xu Yinghui ⋅ Xinwei Sun

Cartridges: Lightweight and general-purpose long context representations via self-study

Sabri Eyuboglu ⋅ Ryan Ehrlich ⋅ Simran Arora ⋅ Neel Guha ⋅ Dylan Zinsley ⋅ Emily Liu ⋅ Atri Rudra ⋅ James Y Zou ⋅ Azalia Mirhoseini ⋅ Christopher Re

Newton Method Revisited: Global Convergence Rates up to $O(1/k^3)$ for Stepsize Schedules and Linesearch Procedures

Slavomir Hanzely ⋅ Farshed Abdukhakimov ⋅ Martin Takáč

Generative AI Archaeology

Desmond Elliott

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Poster

Poster Session 5 Pavilion 4

10:30 AM - 1:00 PM

413 Events in this session

PICS: Pairwise Image Compositing with Spatial Interactions

Hang Zhou ⋅ Xinxin Zuo ⋅ Sen Wang ⋅ Li Cheng

GenCompositor: Generative Video Compositing with Diffusion Transformer

Shuzhou Yang ⋅ Xiaoyu Li ⋅ Xiaodong Cun ⋅ Guangzhi Wang ⋅ Lingen Li ⋅ Ying Shan ⋅ Jian Zhang

Mixture of Contexts for Long Video Generation

Shengqu Cai ⋅ Ceyuan Yang ⋅ Lvmin Zhang ⋅ Yuwei Guo ⋅ Junfei Xiao ⋅ Ziyan Yang ⋅ Yinghao Xu ⋅ Zhenheng Yang ⋅ Alan Yuille ⋅ Leonidas Guibas ⋅ Maneesh Agrawala ⋅ Lu Jiang ⋅ Gordon Wetzstein

DistillKac: Few-Step Image Generation via Damped Wave Equations

Weiqiao Han ⋅ Chenlin Meng ⋅ Christopher Manning ⋅ Stefano Ermon

EgoWorld: Translating Exocentric View to Egocentric View using Rich Exocentric Observations

Junho Park ⋅ Andrew Ye ⋅ Taein Kwon

Composition of Memory Experts for Diffusion World Models

Sebastian Stapf ⋅ Pablo Acuaviva ⋅ Aram Davtyan ⋅ Paolo Favaro

Generation then Reconstruction: Accelerating Masked Autoregressive Models via Two-Stage Sampling

Feihong Yan ⋅ Yao Zhu ⋅ Peiru Wang ⋅ kaiyu pang ⋅ Qingyan Wei ⋅ Huiqi Li ⋅ Linfeng Zhang

Consistent Noisy Latent Rewards for Trajectory Preference Optimization in Diffusion Models

Xiaole Xian ⋅ Xilin He ⋅ Wenting Chen ⋅ Wenshuang Liu ⋅ Wenqi Mu ⋅ Yancheng He ⋅ Liang Li ⋅ Yi Zhang ⋅ Xiangyu Yue

AttriCtrl: A Generalizable Framework for Controlling Semantic Attribute Intensity in Diffusion Models

Die Chen ⋅ Zhongjie Duan ⋅ Zhiwen Li ⋅ Cen Chen ⋅ Daoyuan Chen ⋅ Yaliang Li ⋅ Yinda Chen

Constantly Improving Image Models Need Constantly Improving Benchmarks

Jiaxin Ge ⋅ Grace Luo ⋅ Heekyung Lee ⋅ Nishant Malpani ⋅ Long Lian ⋅ Xudong Wang ⋅ Aleksander Holynski ⋅ trevor darrell ⋅ Sewon Min ⋅ David Chan

MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning

Jinhua Zhang ⋅ Wei Long ⋅ Minghao Han ⋅ Weiyi You ⋅ Shuhang Gu

W-EDIT: A Wavelet-Based Frequency-Aware Framework for Text-Driven Image Editing

Jiahui Sun ⋅ Weining Wang ⋅ Mingzhen Sun ⋅ Peiyao Wang ⋅ Xinxin Zhu ⋅ Jing Liu

VisualPrompter: Semantic-Aware Prompt Optimization with Visual Feedback for Text-to-Image Synthesis

Shiyu Wu ⋅ Mingzhen Sun ⋅ Weining Wang ⋅ Yequan Wang ⋅ Jing Liu

IC-Custom: Diverse Image Customization via In-Context Learning

Yaowei Li ⋅ Xiaoyu Li ⋅ Zhaoyang Zhang ⋅ Yuxuan Bian ⋅ Gan Liu ⋅ Xinyuan Li ⋅ Jiale Xu ⋅ Wenbo Hu ⋅ yating liu ⋅ Lingen Li ⋅ Jing Cai ⋅ Yuexian Zou ⋅ Yancheng He ⋅ Ying Shan

Generative View Stitching

Chonghyuk Song ⋅ Michal Stary ⋅ Boyuan Chen ⋅ George Kopanas ⋅ Vincent Sitzmann

Visual Autoregressive Modeling for Instruction-Guided Image Editing

Qingyang Mao ⋅ Qi Cai ⋅ Yehao Li ⋅ Yingwei Pan ⋅ Mingyue Cheng ⋅ Ting Yao ⋅ Qi Liu ⋅ Tao Mei

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing

Keming Wu ⋅ Sicong Jiang ⋅ Max Ku ⋅ PING NIE ⋅ Minghao Liu ⋅ Wenhu Chen

Arbitrary Generative Video Interpolation

Guozhen Zhang ⋅ Haiguang Wang ⋅ Chunyu Wang ⋅ Yuan Zhou ⋅ Qinglin Lu ⋅ Limin Wang

EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing

Tianyu Chen ⋅ Yasi Zhang ⋅ Zhi Zhang ⋅ Peiyu Yu ⋅ Shu Wang ⋅ Zhendong Wang ⋅ Kevin Lin ⋅ Xiaofei Wang ⋅ Zhengyuan Yang ⋅ Linjie Li ⋅ Chung-Ching Lin ⋅ Jianwen Xie ⋅ Oscar Leong ⋅ Lijuan Wang ⋅ Yingnian Wu ⋅ Mingyuan Zhou

Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration

Haoran Bai ⋅ Xiaoxu Chen ⋅ Canqian Yang ⋅ Zongyao He ⋅ Sibin Deng ⋅ Ying Chen

Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale

Zhengcen Li ⋅ Chenyang Jiang ⋅ Hang Zhao ⋅ Shiyang Zhou ⋅ Yunyang Mo ⋅ Feng Gao ⋅ Fan Yang ⋅ Qiben Shan ⋅ Shaocong Wu ⋅ Jingyong Su

Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime!

Junbao Zhou ⋅ Yuan Zhou ⋅ Kesen Zhao ⋅ Qingshan Xu ⋅ Beier Zhu ⋅ Richang Hong ⋅ Hanwang Zhang

Concept-TRAK: Understanding how diffusion models learn concepts through concept attribution

Yong-Hyun Park ⋅ Chieh-Hsin Lai ⋅ Satoshi Hayakawa ⋅ Yuhta Takida ⋅ Naoki Murata ⋅ WeiHsiang Liao ⋅ Woosung Choi ⋅ Kin Wai Cheuk ⋅ Junghyun (Tony) Koo ⋅ Yuki Mitsufuji

BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models

Yuming Li ⋅ Yikai Wang ⋅ Yuying zhu ⋅ Zhongyu Zhao ⋅ Ming Lu ⋅ Qi She ⋅ Shanghang Zhang

Unbiased Object Detection Beyond Frequency with Visually Prompted Image Synthesis

Xinhao Cai ⋅ Liulei Li ⋅ Gensheng Pei ⋅ Tao Chen ⋅ Jinshan Pan ⋅ Yazhou Yao ⋅ Wenguan Wang

MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models

Aritra Bhowmik ⋅ Denis Korzhenkov ⋅ Cees G Snoek ⋅ Amirhossein Habibian ⋅ Mohsen Ghafoorian

Learning an Image Editing Model without Image Editing Pairs

Nupur Kumari ⋅ Sheng-Yu Wang ⋅ Cherry Zhao ⋅ Yotam Nitzan ⋅ Yuheng Li ⋅ Krishna Kumar Singh ⋅ Richard Zhang ⋅ Eli Shechtman ⋅ Jun-Yan Zhu ⋅ Xun Huang

UniF$^2$ace: A $\underline{Uni}$fied $\underline{F}$ine-grained $\underline{Face}$ Understanding and Generation Model

Junzhe Li ⋅ Sifan Zhou ⋅ Liya Guo ⋅ Xuerui Qiu ⋅ Linrui Xu ⋅ TingTing Long ⋅ Chun Fan ⋅ Ming Li ⋅ Hehe Fan ⋅ Jun Liu ⋅ Shuicheng YAN

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning

Mingrui Wu ⋅ Lu Wang ⋅ Pu Zhao ⋅ Fangkai Yang ⋅ Jianjin Zhang ⋅ Jianfeng Liu ⋅ Yuefeng Zhan ⋅ Weihao Han ⋅ Hao Sun ⋅ Jiayi Ji ⋅ Xiaoshuai Sun ⋅ Qingwei Lin ⋅ Weiwei Deng ⋅ Dongmei Zhang ⋅ Feng Sun ⋅ Rongrong Ji

EasyTune: Efficient Step-Aware Fine-Tuning for Diffusion-Based Motion Generation

Xiaofeng Tan ⋅ Wanjiang Weng ⋅ Haodong Lei ⋅ Hongsong Wang

UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models

Guanlong Jiao ⋅ Biqing Huang ⋅ Kuan-Chieh Wang ⋅ Renjie Liao

PICABench: How Far are We from Physical Realistic Image Editing?

Yuandong Pu ⋅ Le Zhuo ⋅ Songhao Han ⋅ Jinbo Xing ⋅ Kaiwen Zhu ⋅ Shuo Cao ⋅ Bin Fu ⋅ Si Liu ⋅ Hongsheng Li ⋅ Yu Qiao ⋅ Wenlong Zhang ⋅ Xi Chen ⋅ Yihao Liu

SteinsGate: Adding Causality to Diffusions for Long Video Generation via Path Integral

Yufei Huang ⋅ Liangyu Yuan ⋅ Changxi Chi ⋅ Yunfan Liu ⋅ Cheng Tan ⋅ Siyuan Li ⋅ Jingbo Zhou ⋅ Haitao Lin ⋅ Chang Yu ⋅ Stan Z Li

Soft-Di[M]O: Improving One-Step Discrete Image Generation with Soft Embeddings

Yuanzhi Zhu ⋅ Xi WANG ⋅ Stéphane Lathuilière ⋅ Vicky Kalogeiton

ReDDiT: Rehashing Noise for Discrete Visual Generation

Tianren Ma ⋅ Xiaosong Zhang ⋅ Boyu Yang ⋅ Junlan Feng ⋅ Qixiang Ye

Directional Textual Inversion for Personalized Text-to-Image Generation

Kunhee Kim ⋅ NaHyeon Park ⋅ Kibeom Hong ⋅ Hyunjung Shim

LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference

Jianhao Yuan ⋅ Fabio Pizzati ⋅ Francesco Pinto ⋅ Lars Kunze ⋅ Ivan Laptev ⋅ Paul Newman ⋅ Philip Torr ⋅ Daniele De Martini

BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching

Hanshuai Cui ⋅ Zhiqing Tang ⋅ Zhifei Xu ⋅ Zhi Yao ⋅ Wenyi Zeng ⋅ Weijia Jia

Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation

Kang Liao ⋅ Size Wu ⋅ Zhonghua Wu ⋅ Linyi Jin ⋅ Chao Wang ⋅ Yikai Wang ⋅ Fei Wang ⋅ Wei Li ⋅ Chen Change Loy

LayerSync: Self-aligning Intermediate Layers

Yasaman Haghighi ⋅ Bastien van Delft ⋅ Mariam Hassan ⋅ Alexandre Alahi

GIR-Bench: Versatile Benchmark for Generating Images with Reasoning

Hongxiang Li ⋅ Yaowei Li ⋅ Bin Lin ⋅ Yuwei Niu ⋅ Yuhang Yang ⋅ Xiaoshuang Huang ⋅ Jiayin Cai ⋅ Xiaolong Jiang ⋅ Yao Hu ⋅ Long Chen

Real-Time Motion-Controllable Autoregressive Video Diffusion

Kesen Zhao ⋅ Jiaxin Shi ⋅ Beier Zhu ⋅ Junbao Zhou ⋅ Xiaolong Shen ⋅ Yuan Zhou ⋅ Qianru Sun ⋅ Hanwang Zhang

FantasyWorld: Geometry-Consistent World Modeling via Unified Video and 3D Prediction

Yixiang Dai ⋅ Fan Jiang ⋅ Chiyu Wang ⋅ Mu Xu ⋅ Yonggang Qi

ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing

Lingen Li ⋅ Guangzhi Wang ⋅ Zhaoyang Zhang ⋅ Yaowei Li ⋅ Xiaoyu Li ⋅ Qi Dou ⋅ Jinwei Gu ⋅ Tianfan Xue ⋅ Ying Shan

Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models

Ling-Qi Zhang · Zahra Kadkhodaie · Eero P Simoncelli · David H Brainard

FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting

Qianfan Shen ⋅ Ningxiao Tao ⋅ Qiyu Dai ⋅ Tianle Chen ⋅ Minghan Qin ⋅ Yongjie Zhang ⋅ Mengyu Chu ⋅ Wenzheng Chen ⋅ Baoquan Chen

DiffWind: Physics-Informed Differentiable Modeling of Wind-Driven Object Dynamics

Yuanhang Lei ⋅ Boming Zhao ⋅ Zesong Yang ⋅ Xingxuan Li ⋅ Tao Cheng ⋅ Haocheng Peng ⋅ Ru Zhang ⋅ yang yang ⋅ Siyuan Huang ⋅ Yujun Shen ⋅ Ruizhen Hu ⋅ Hujun Bao ⋅ Zhaopeng Cui

A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features

Axel Barroso-Laguna ⋅ Tommaso Cavallari ⋅ Victor Prisacariu ⋅ Eric Brachmann

Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static Disentanglement

Hao Ai ⋅ Wenjie Chang ⋅ Jianbo Jiao ⋅ Ales Leonardis ⋅ Eyal Ofek

CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction

Jisu Shin ⋅ Richard Shaw ⋅ Seunghyun Shin ⋅ Zhensong Zhang ⋅ Hae-Gon Jeon ⋅ Eduardo Pérez-Pellitero

MEGS^{2}: Memory-Efficient Gaussian Splatting via Spherical Gaussians and Unified Pruning

Jiarui Chen ⋅ Yikeng Chen ⋅ Yingshuang Zou ⋅ Ye Huang ⋅ Peng Wang ⋅ Yuan Liu ⋅ YUJING SUN ⋅ Wenping Wang

CAD-Tokenizer: Towards Text-Based CAD Prototyping via Modality-Specific Tokenization

Ruiyu Wang ⋅ Shizhao Sun ⋅ Weijian Ma ⋅ Jiang Bian

StreamSplat: Towards Online Dynamic 3D Reconstruction from Uncalibrated Video Streams

Zike Wu ⋅ Qi Yan ⋅ Xuanyu Yi ⋅ Lele Wang ⋅ Renjie Liao

DreamCS: Geometry-Aware Text-to-3D Generation with Unpaired 3D Reward Supervision

Xiandong Zou ⋅ Ruihao Xia ⋅ Hongsong Wang ⋅ Pan Zhou

WinT3R: Window-Based Streaming Reconstruction with Camera Token Pool

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

FastAvatar: Towards Unified and Fast 3D Avatar Reconstruction with Large Gaussian Reconstruction Transformers

Yue Wu ⋅ Xuanhong Chen ⋅ Yufan Wu ⋅ Wen Li ⋅ Yuxi Lu ⋅ Kairui Feng

Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks

Dmitrii Pozdeev ⋅ Alexey Artemov ⋅ Ananta R. Bhattarai ⋅ Artem Sevastopolsky

HUMOF: Human Motion Forecasting in Interactive Social Scenes

Caiyi Sun ⋅ YUJING SUN ⋅ Xiao Han ⋅ Zemin Yang ⋅ Jiawei Liu ⋅ xinge zhu ⋅ Siu Ming Yiu ⋅ Yuexin Ma

GenFusion: Feed-forward Human Performance Capture via Progressive Canonical Space Updates

YoungJoong Kwon ⋅ Yao He ⋅ Hee Jung Choi ⋅ Chen Geng ⋅ Zhengmao Liu ⋅ Jiajun Wu ⋅ Ehsan Adeli

Towards Physically Executable 3D Gaussian for Embodied Navigation

Bingchen Miao ⋅ Rong Wei ⋅ Zhiqi Ge ⋅ Xiaoquan sun ⋅ Shiqi Gao ⋅ Jingzhe Zhu ⋅ Renhan Wang ⋅ Siliang Tang ⋅ Jun Xiao ⋅ Rui Tang ⋅ Juncheng Li

Distractor-free Generalizable 3D Gaussian Splatting

Yanqi Bao ⋅ Jing Liao ⋅ Jing Huo ⋅ Yang Gao

Trace Anything: Representing Any Video in 4D via Trajectory Fields

Xinhang Liu ⋅ Yuxi Xiao ⋅ Donny Y. Chen ⋅ Jiashi Feng ⋅ Yu-Wing Tai ⋅ Chi-Keung Tang ⋅ Bingyi Kang

Neural Compression of 3D Meshes using Sparse Implicit Representation

Jianqiang Wang ⋅ Siyu Ren ⋅ Junhui Hou

ReSplat: Degradation-agnostic Feed-forward Gaussian Splatting via Self-guided Residual Diffusion

Youngho Yoon ⋅ Kuk-Jin Yoon

Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizer

Yecong Wan ⋅ Mingwen Shao ⋅ Renlong Wu ⋅ Wangmeng Zuo

UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes

Mark Eid ⋅ Ana Namburete ⋅ Joao F. Henriques

Teaching VLMs to Admit Uncertainty in OCR from Lossy Visual Inputs

Shuhao Guan ⋅ Moule Lin ⋅ Cheng Xu ⋅ Jinman Zhao ⋅ Derek Greene

Revisiting [CLS] and Patch Token Interaction in Vision Transformers

Alexis Marouani ⋅ Oriane Siméoni ⋅ Herve Jegou ⋅ Piotr Bojanowski ⋅ Huy Vo

RAR: Reversing Visual Attention Re-Sinking for Unlocking Potential in Multimodal Large Language Models

Zhehan Kan ⋅ Xin Li ⋅ Yanlin Liu ⋅ Xiaochen Yang ⋅ Xinghua Jiang ⋅ Yinsong Liu ⋅ Deqiang Jiang ⋅ Xing Sun ⋅ Qingmin Liao ⋅ Wenming Yang

ChainMPQ: Interleaved Text-Image Reasoning Chains for Mitigating Relation Hallucinations

Yike Wu ⋅ Yiwei Wang ⋅ Yujun Cai

VL-JEPA: Joint Embedding Predictive Architecture for Vision-language

Delong Chen ⋅ Mustafa Shukor ⋅ Théo Moutakanni ⋅ Willy Chung ⋅ Lei Yu ⋅ Tejaswi Kasarla ⋅ Allen Bolourchi ⋅ Yann LeCun ⋅ Pascale Fung

Revisiting Multimodal Positional Encoding in Vision–Language Models

Jie Huang ⋅ Xuejing Liu ⋅ Sibo Song ⋅ RuiBing Hou ⋅ Hong Chang ⋅ Junyang Lin ⋅ Shuai Bai

Towards Text-Mask Consistency in Medical Image Segmentation

Jie Gui ⋅ HangTu ⋅ Wen Sha ⋅ Xiuquan Du

Cambrian-S: Towards Spatial Supersensing in Video

Shusheng Yang ⋅ Jihan YANG ⋅ Pinzhi Huang ⋅ Ellis Brown ⋅ Zihao Yang ⋅ Yue Yu ⋅ Shengbang Tong ⋅ Zihan Zheng ⋅ Yifan Xu ⋅ Muhan Wang ⋅ Rob Fergus ⋅ Yann LeCun ⋅ Li Fei-Fei ⋅ Saining Xie

SAM 3: Segment Anything with Concepts

Nicolas Carion ⋅ Laura Gustafson ⋅ Yuan-Ting Hu ⋅ Shoubhik Debnath ⋅ Ronghang Hu ⋅ Didac Suris Coll-Vinent ⋅ Chaitanya Ryali ⋅ Kalyan Vasudev Alwala ⋅ Haitham Khedr ⋅ Andrew Huang ⋅ Jie Lei ⋅ Tengyu Ma ⋅ Baishan Guo ⋅ Arpit Kalla ⋅ Markus Marks ⋅ Joseph Greer ⋅ Meng Wang ⋅ Peize Sun ⋅ Roman Rädle ⋅ Triantafyllos Afouras ⋅ Effrosyni Mavroudi ⋅ Katherine Xu ⋅ Tsung-Han Wu ⋅ Yu Zhou ⋅ Liliane Momeni ⋅ RISHI HAZRA ⋅ Shuangrui Ding ⋅ Sagar Vaze ⋅ Francois Porcher ⋅ Feng Li ⋅ Siyuan Li ⋅ Aishwarya Kamath ⋅ Ho Kei Cheng ⋅ Piotr Dollar ⋅ Nikhila Ravi ⋅ Kate Saenko ⋅ Pengchuan Zhang ⋅ Christoph Feichtenhofer

ThinkOmni: Lifting Textual Reasoning to Omni-modal Scenarios via Guidance Decoding

Yiran Guan ⋅ Sifan Tu ⋅ Dingkang Liang ⋅ Linghao Zhu ⋅ Jianzhong Ju ⋅ Zhenbo Luo ⋅ Jian Luan ⋅ Yuliang Liu ⋅ Xiang Bai

Progressive Online Video Understanding with Evidence-Aligned Timing and Transparent Decisions

Kecheng Zhang ⋅ Zongxin Yang ⋅ Mingfei Han ⋅ Haihong Hao ⋅ Yunzhi Zhuge ⋅ Changlin Li ⋅ junhan zhao ⋅ Zhihui Li ⋅ Xiaojun Chang

FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting

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

Thinking as Society: Multi-Social-Agent Self-Distillation for Multimodal Misinformation Detection

Yifei Gao ⋅ Ning Xu ⋅ Wenhui Li ⋅ Hongshuo Tian ⋅ Lanjun Wang ⋅ Anan Liu

Divid: Disentangled Spatial-Temporal Modeling within LLMs for Temporally Grounded Video Understanding

Yepeng Tang ⋅ Weining Wang ⋅ Longteng Guo ⋅ Tongtian Yue ⋅ Wenxuan Wang ⋅ Chunjie Zhang ⋅ Jing Liu

PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies

Lukas Selch ⋅ Yufang Hou ⋅ Muhammad Jehanzeb Mirza ⋅ Sivan Doveh ⋅ James R Glass ⋅ Rogerio Feris ⋅ Wei Lin

Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle

Linghao Zhu ⋅ Yiran Guan ⋅ Dingkang Liang ⋅ Jianzhong Ju ⋅ Zhenbo Luo ⋅ Bin Qin ⋅ Jian Luan ⋅ Yuliang Liu ⋅ Xiang Bai

Event-T2M: Event-level Conditioning for Complex Text-to-Motion Synthesis

Seong-Eun Hong ⋅ Jaeyoung Seon ⋅ Juyeong Hwang ⋅ JongHwan Shin ⋅ HyeongYeop Kang

VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations

Yupeng Xie ⋅ Zhiyang Zhang ⋅ Yifan Wu ⋅ Sirong Lu ⋅ Jiayi Zhang ⋅ Zhaoyang Yu ⋅ Jinlin Wang ⋅ Sirui Hong ⋅ Bang Liu ⋅ Chenglin Wu ⋅ Yuyu Luo

V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction

Yiming Zhao ⋅ Yu Zeng ⋅ Yukun Qi ⋅ YaoYang Liu ⋅ Xikun Bao ⋅ Lin Chen ⋅ Zehui Chen ⋅ Qing Miao ⋅ Chenxi Liu ⋅ Jie Zhao ⋅ Feng Zhao

Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning

Hulingxiao He ⋅ Zijun Geng ⋅ Yuxin Peng

DAVE: A VLM Vision Encoder for Document Understanding and Web Agents

Brandon Huang ⋅ Hang Hua ⋅ Zhuoran Yu ⋅ trevor darrell ⋅ Rogerio Feris ⋅ Roei Herzig

SpareTrain: Fault-Tolerant LLM Training via Low-Cost Dual Modular Redundancy

Rihae Park ⋅ Yeonjae Kim ⋅ Seung Lee ⋅ Yeonhong Park ⋅ Jae W. Lee

Reasoning-Aligned Perception Decoupling for Scalable Multi-modal Reasoning

Yunhao Gou ⋅ Kai Chen ⋅ Zhili Liu ⋅ Lanqing HONG ⋅ Xin Jin ⋅ Zhenguo Li ⋅ James Kwok ⋅ Yu Zhang

A Training-Free Framework for Long Video Understanding via Video-Query-Options Similarity

Zhirong Wu ⋅ Xiaodong Wang ⋅ Langling Huang ⋅ Teng Xu ⋅ Peixi Peng

Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes

Mohsen Gholami ⋅ Ahmad Rezaei ⋅ Zhou Weimin ⋅ Sitong Mao ⋅ Shunbo Zhou ⋅ Yong Zhang ⋅ Mohammad Akbari

MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites

Zhenxin Lei ⋅ Zhangwei Gao ⋅ Changyao Tian ⋅ Erfei Cui ⋅ Guanzhou Chen ⋅ Danni Yang ⋅ Yuchen Duan ⋅ Zhaokai Wang ⋅ Wenhao Li ⋅ Weiyun Wang ⋅ Xiangyu Zhao ⋅ Jiayi Ji ⋅ Yu Qiao ⋅ Wenhai Wang ⋅ Gen Luo

ProxyThinker: Test-Time Guidance through Small Visual Reasoners

Zilin Xiao ⋅ Jaywon Koo ⋅ Siru Ouyang ⋅ Jefferson Hernandez ⋅ Yu Meng ⋅ Vicente Ordonez

Earth-Agent: Unlocking the Full Landscape of Earth Observation with Agents

Peilin Feng ⋅ Zhutao Lv ⋅ Junyan Ye ⋅ Xiaolei Wang ⋅ Xinjie Huo ⋅ Jinhua Yu ⋅ Wanghan Xu ⋅ Wenlong Zhang ⋅ LEI BAI ⋅ Conghui He ⋅ Weijia Li

RayI2P: Learning Rays for Image-to-Point Cloud Registration

Xinjun Li ⋅ Wenfei Yang ⋅ Zhixin Cheng ⋅ Jiacheng Deng ⋅ Fei Wang ⋅ Chen Qian ⋅ Tianzhu Zhang

PTNET: A PROPOSAL-CENTRIC TRANSFORMER NET- WORK FOR 3D OBJECT DETECTION

Jianping Zhong ⋅ Zhaobo Qi ⋅ Kaiwen Duan ⋅ Xinyan Liu ⋅ Beichen Zhang ⋅ Weigang Zhang ⋅ Qingming Huang

WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs

Jack Hong ⋅ Shilin Yan ⋅ Jiayin Cai ⋅ Xiaolong Jiang ⋅ Yao Hu ⋅ Weidi Xie

Small Drafts, Big Verdict: Information-Intensive Visual Reasoning via Speculation

Yuhan Liu ⋅ Lianhui Qin ⋅ Shenji Wan

CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs

Jiwan Kim ⋅ Kibum Kim ⋅ Sangwoo Seo ⋅ Chanyoung Park

CircuitSense: A Hierarchical MLLM Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process

Arman Akbari ⋅ Jian Gao ⋅ Yifei Zou ⋅ Mei Yang ⋅ Jinru Duan ⋅ Dmitrii Torbunov ⋅ Yanzhi Wang ⋅ Yihui Ren ⋅ Xuan Zhang

Panoptic Pairwise Distortion Graph

Muhammad Kamran Janjua ⋅ Abdul Wahab ⋅ Bahador Rashidi

BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation Models

Ziheng Zhang ⋅ Xinyue Ma ⋅ Arpita Chowdhury ⋅ Elizabeth Campolongo ⋅ Matthew Thompson ⋅ Net Zhang ⋅ Samuel Stevens ⋅ Hilmar Lapp ⋅ Tanya Berger-Wolf ⋅ Yu Su ⋅ Wei-Lun Chao ⋅ Jianyang Gu

EventFlash: Towards Efficient MLLMs for Event-Based Vision

Shaoyu Liu ⋅ Jianing Li ⋅ guanghui zhao ⋅ Yunjian Zhang ⋅ Wen Jiang ⋅ Ming Li ⋅ Xiangyang Ji

Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory

Lin Long ⋅ Yichen He ⋅ Wentao Ye ⋅ Yiyuan Pan ⋅ Yuan Lin ⋅ Hang Li ⋅ Junbo Zhao ⋅ Wei Li

PAGE-4D: Disentangled Pose and Geometry Estimation for VGGT-4D Perception

Kaichen Zhou ⋅ Yuhan Wang ⋅ Grace Chen ⋅ Gaspard Beaudouin ⋅ Fangneng Zhan ⋅ Paul Liang ⋅ Mengyu Wang

M$^2$-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining

Rui LYU ⋅ Juncheng Mo ⋅ Tianyi Chu ⋅ Chen Rao ⋅ Hongyi Jing ⋅ Jiajie Teng ⋅ Jiafu Chen ⋅ Shiqi Zhang ⋅ Liangzi Ding ⋅ Shuo Fang ⋅ Huaizhong Lin ⋅ Ziqiang Dang ⋅ Chenguang Ma ⋅ Lei Zhao

Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering

Jian Lan ⋅ Zhicheng Liu ⋅ Udo Schlegel ⋅ Raoyuan Zhao ⋅ Yihong Liu ⋅ Hinrich Schuetze ⋅ Michael Hedderich ⋅ Thomas Seidl

PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance

Shangkun Sun ⋅ Ruyang Liu ⋅ Haoran Tang ⋅ Yixiao Ge ⋅ Haibo Lu ⋅ Jiankun Yang ⋅ Chen Li

Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward

Tong Xiao ⋅ Xin Xu ⋅ Zhenya Huang ⋅ Hongyu Gao ⋅ Quan Liu ⋅ Qi Liu ⋅ Enhong Chen

VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use

Mingyuan Wu ⋅ Jingcheng Yang ⋅ Jize Jiang ⋅ Meitang Li ⋅ Kaizhuo Yan ⋅ Hanchao Yu ⋅ Minjia Zhang ⋅ ChengXiang Zhai ⋅ Klara Nahrstedt

3D Aware Region Prompted Vision Language Model

An-Chieh Cheng ⋅ Yang Fu ⋅ Yukang Chen ⋅ Zhijian Liu ⋅ Xiaolong Li ⋅ Subhashree Radhakrishnan ⋅ Song Han ⋅ Yao Lu ⋅ Jan Kautz ⋅ Pavlo Molchanov ⋅ Hongxu Yin ⋅ Xiaolong Wang ⋅ Sifei Liu

Talking Points: Describing and Localizing Pixels

Matan Rusanovsky ⋅ Shimon Malnick ⋅ Shai Avidan

Tell me Habibi, is it Real or Fake?

Kartik Kuckreja ⋅ Parul Gupta ⋅ Injy Hamed ⋅ Thamar Solorio ⋅ Muhammad Haris Khan ⋅ Abhinav Dhall

OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM

Hanrong Ye ⋅ Chao-Han Huck Yang ⋅ Arushi Goel ⋅ Wei Huang ⋅ Zhen Wan ⋅ Jinchuan Tian ⋅ An-Chieh Cheng ⋅ Ligeng Zhu ⋅ Yuanhang Su ⋅ Yuming Lou ⋅ Yong-Xiang Lin ⋅ Dong Yang ⋅ Sreyan Ghosh ⋅ Zhijian Liu ⋅ Yukang Chen ⋅ Ehsan Jahangiri ⋅ Ambrish Dantrey ⋅ Daguang Xu ⋅ Ehsan Hosseini-Asl ⋅ Seyed Danial Mohseni Taheri ⋅ Vidya Nariyambut Murali ⋅ Sifei Liu ⋅ Yao Lu ⋅ Oluwatobi Olabiyi ⋅ Yu-Chiang Frank Wang ⋅ Rafael Valle ⋅ Bryan Catanzaro ⋅ Andrew Tao ⋅ Song Han ⋅ Jan Kautz ⋅ Hongxu Yin ⋅ Pavlo Molchanov

Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors

Guangyao Zhai ⋅ Yue Zhou ⋅ Xinyan Deng ⋅ Lars Heckler-Kram ⋅ Nassir Navab ⋅ Benjamin Busam

LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models

Pengcheng Zheng ⋅ Chaoning Zhang ⋅ Jiarong Mo ⋅ Guohui Li ⋅ Jiaquan Zhang ⋅ Jiahao Zhang ⋅ Sihan Cao ⋅ Sheng Zheng ⋅ Caiyan Qin ⋅ Guoqing Wang ⋅ Yang Yang

Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception

Yuheng Shi ⋅ Xiaohuan Pei ⋅ Minjing Dong ⋅ Chang Xu

Nüwa: Mending the Spatial Integrity Torn by VLM Token Pruning

Yihong Huang ⋅ Fei Ma ⋅ Yihua Shao ⋅ Jingcai Guo ⋅ Zitong YU ⋅ Laizhong Cui ⋅ Qi Tian

Lightweight Spatio-Temporal Modeling via Temporally Shifted Distillation for Real-Time Accident Anticipation

Patrik Patera ⋅ Yie-Tarng Chen ⋅ Wen-Hsien Fang

NePTune: A Neuro-Pythonic Framework for Tunable Compositional Reasoning on Vision-Language

Danial Kamali ⋅ Parisa Kordjamshidi

Plug, Play, and Fortify: A Low-Cost Module for Robust Multimodal Image Understanding Models

Siqi Lu ⋅ Wanying XU ⋅ Yongbin Zheng ⋅ Wenting Luan ⋅ Peng Sun ⋅ Jianhang Yao

Language-guided Open-world Video Anomaly Detection under Weak Supervision

Zihao Liu ⋅ Xiaoyu Wu ⋅ Jianqin Wu ⋅ Xuxu Wang ⋅ Linlin Yang

RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding

Jiaang Li ⋅ Yifei Yuan ⋅ Wenyan Li ⋅ Mohammad Aliannejadi ⋅ Daniel Hershcovich ⋅ Anders Søgaard ⋅ Ivan Vulić ⋅ Wenxuan Zhang ⋅ Paul Liang ⋅ Yang Deng ⋅ Serge Belongie

Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models

Yuansen Liu ⋅ Haiming Tang ⋅ Jinlong Peng ⋅ Jiangning Zhang ⋅ Xiaozhong Ji ⋅ Qingdong He ⋅ Donghao Luo ⋅ Zhenye Gan ⋅ Junwei Zhu ⋅ Yunhang Shen ⋅ Chaoyou Fu ⋅ Chengjie Wang ⋅ Xiaobin Hu ⋅ Shuicheng YAN

Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models

Yu Zeng ⋅ Wenxuan Huang ⋅ Shiting Huang ⋅ Xikun Bao ⋅ Yukun Qi ⋅ Yiming Zhao ⋅ Qiuchen Wang ⋅ Lin Chen ⋅ Zehui Chen ⋅ Huaian Chen ⋅ Wanli Ouyang ⋅ Feng Zhao

ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping

Shuang Chen ⋅ Hangyu Guo ⋅ Yimeng Ye ⋅ Shijue Huang ⋅ Wenbo Hu ⋅ Jiayu Chen ⋅ Manyuan Zhang ⋅ Haoxi Li ⋅ Song Guo ⋅ Nanyun (Violet) Peng

VideoAnchor: Reinforcing Subspace-Structured Visual Cues for Coherent Visual-Spatial Reasoning

Zhaozhi Wang ⋅ Tong Zhang ⋅ Mingyue Guo ⋅ Yaowei Wang ⋅ Qixiang Ye

Where’s the Chicken? Unpacking Spatial Awareness in Vision-Language Models

Jiyoon Pyo ⋅ Yao-Yi Chiang

MobileCLIP2: Improving Multi-Modal Reinforced Training

Fartash Faghri · Pavan Kumar Anasosalu Vasu · Cem Koc · Vaishaal Shankar · Alexander T Toshev · Oncel Tuzel · Hadi Pouransari

PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data

Zhe Zhu ⋅ Le Wan ⋅ Rui Xu ⋅ Yiheng Zhang ⋅ Honghua Chen ⋅ Zhiyang Dou ⋅ Cheng Lin ⋅ Yuan Liu ⋅ Mingqiang Wei

Object-Centric Refinement for Enhanced Zero-Shot Segmentation

Srinivasa Rao Nandam ⋅ Sara Atito ⋅ Zhenhua Feng ⋅ Josef Kittler ⋅ Muhammad Awais

Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic Segmentation

Wangkai Li ⋅ Zhaoyang Li ⋅ Yuwen Pan ⋅ Rui Sun ⋅ Yujia Chen ⋅ Tianzhu Zhang

Rethinking Model Calibration through Spectral Entropy Regularization in Medical Image Segmentation

Kun Cheng ⋅ Yukun Zhang ⋅ William Nailon ⋅ Tonggang Zhao

GOOD: Geometry-guided Out-of-Distribution Modeling for Open-set Test-time Adaptation in Point Cloud Semantic Segmentation

Tianpei Zou ⋅ Guo Yu ⋅ Ya Wu ⋅ Fan Lu ⋅ Eric Zhongcong Xu ⋅ Zhang Bo ⋅ Ziqiao Wang ⋅ Sanqing Qu ⋅ Guang Chen

ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide Imaging

Linfeng Ye ⋅ Shayan Mohajer Hamidi ⋅ Zhixiang Chi ⋅ Prof. Guang Li ⋅ Mert Pilanci ⋅ Takahiro Ogawa ⋅ Miki Haseyama ⋅ Konstantinos Plataniotis

NatADiff: Adversarial Boundary Guidance for Natural Adversarial Diffusion

Max Collins ⋅ Jordan Vice ⋅ Tim French ⋅ Ajmal Mian

Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning

Hengwei Zhao ⋅ Zhengzhong Tu ⋅ Zhuo Zheng ⋅ Wei Wang ⋅ Junjue Wang ⋅ Rusty Feagin ⋅ Wenzhe Jiao

StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning

Huaijie Wang ⋅ De Cheng ⋅ Guozhang Li ⋅ Zhipeng Xu ⋅ Lingfeng He ⋅ Jie Li ⋅ Nannan Wang ⋅ Xinbo Gao

PSP: Prompt-Guided Self-Training Sampling Policy for Active Prompt Learning

Sen Tao ⋅ Kaiduo Feng ⋅ Jiawei Liu ⋅ Peng Zeng ⋅ Yongchao Xu ⋅ Yufei Zheng ⋅ Zheng-Jun Zha

EnvSocial-Diff: A Diffusion-Based Crowd Simulation Model with Environmental Conditioning and Individual-Group Interaction

Bingxue Zhao ⋅ Qi Zhang ⋅ Hui Huang

GaitSnippet: Gait Recognition Beyond Unordered Sets and Ordered Sequences

Saihui Hou ⋅ Chenye Wang ⋅ Wenpeng Lang ⋅ Zhengxiang Lan ⋅ Yongzhen Huang

Low-Latency Neural LiDAR Compression with 2D Context Models

Rui Song ⋅ Yan Wang ⋅ Tongda Xu ⋅ Zhening Liu ⋅ Zehong Lin ⋅ Jun Zhang

Distributional Consistency Loss: Beyond Pointwise Data Terms in Inverse Problems

George Webber ⋅ Andrew Reader

Maximizing Asynchronicity in Event-based Neural Networks

Haiqing Hao ⋅ Nikola Zubic ⋅ Weihua He ⋅ Zhipeng Sui ⋅ Davide Scaramuzza ⋅ Wenhui Wang

Text-Aware Image Restoration with Diffusion Models

Jaewon Min ⋅ Jin Kim ⋅ Paul Cho ⋅ Jaeeun Lee ⋅ Jihye Park ⋅ Park Kyu ⋅ Sangpil Kim ⋅ Hyunhee Park ⋅ Seungryong Kim

Designing Affine-Invariant Neural Networks for Photometric Corruption Robustness and Generalization

Mounir Messaoudi ⋅ Quentin Rapilly ⋅ Sébastien Herbreteau ⋅ Anaïs Badoual ⋅ Charles Kervrann

ForestPersons: A Large-Scale Dataset for Under-Canopy Missing Person Detection

Deokyun Kim ⋅ Jeongjun Lee ⋅ Jungwon Choi ⋅ Jonggeon Park ⋅ Giyoung Lee ⋅ Yookyung Kim ⋅ Myungseok Ki ⋅ Juho Lee ⋅ Jihun Cha

Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction

Simon Giebenhain ⋅ Tobias Kirschstein ⋅ Martin Rünz ⋅ Lourdes Agapito ⋅ Matthias Niessner

SceneStreamer: Continuous Scenario Generation as Next Token Group Prediction

Zhenghao Peng ⋅ Yuxin Liu ⋅ Bolei Zhou

Exploring Real-Time Super-Resolution: Benchmarking and Fine-Tuning for Streaming Content

Evgeney Bogatyrev ⋅ Khaled Abud ⋅ Ivan Molodetskikh ⋅ Nikita Alutis ⋅ Dmitriy Vatolin

Learning Domain-Aware Task Prompt Representations for Multi-Domain All-in-One Image Restoration

Guanglu Dong ⋅ Chunlei Li ⋅ Chao Ren ⋅ Jingliang Hu ⋅ Yilei Shi ⋅ Xiaoxiang Zhu ⋅ Lichao Mou

Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance

Chenliang Zhou ⋅ Fangcheng Zhong ⋅ Weihao Xia ⋅ Albert Miao ⋅ Canberk Baykal ⋅ Cengiz Oztireli

Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion Models

Jinhui Hou ⋅ Zhiyu Zhu ⋅ Junhui Hou

Seeing What’s Wrong: A Trajectory-Guided Approach to Caption Error Detection

Gabriel Afriat ⋅ Ryan Lucas ⋅ Xiang Meng ⋅ Yufang Hou ⋅ Yada Zhu ⋅ Rahul Mazumder

Spherical Watermark: Encryption-Free, Lossless Watermarking for Diffusion Models

Xiaoxiao Hu ⋅ Jiaqi Jin ⋅ Sheng Li ⋅ Wanli Peng ⋅ Xinpeng Zhang ⋅ Zhenxing Qian

Loc$^{2}$: Interpretable Cross-View Localization via Depth-Lifted Local Feature Matching

Zimin Xia ⋅ Chenghao Xu ⋅ Alexandre Alahi

DNOD: Deformable Neural Operators for Object Detection in SAR Images

GVS Mothish · J Rishi · Shobhit Kumar Shukla · Deepak Subramani

The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics

Fabio Turazza ⋅ Marco Picone ⋅ Marco Mamei

Federated Learning of Quantile Inference under Local Differential Privacy

Leheng Cai ⋅ Qirui Hu ⋅ Shuyuan Wu

HiddenEcho: Mitigating Noise Amplification in Differentially Private LLMs with Hidden-State Correction

Wenhao Li ⋅ Kunhao Li ⋅ Lei Yang

DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning

Yaxuan Wang ⋅ Yuhao Liu ⋅ Quan Liu ⋅ Jinlong Pang ⋅ Wei Wei ⋅ Yujia Bao ⋅ Yang Liu

Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models

Anirudh Bharadwaj ⋅ Chaitanya Malaviya ⋅ Nitish Joshi ⋅ Mark Yatskar

Transferable and Stealthy Adversarial Attacks on Large Vision-Language Models

Zhewen Yao ⋅ Yao Zhu ⋅ Shiliang Zhang

Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models

Wonjeong Choi ⋅ Sejong Ryu ⋅ JungMoon Lee ⋅ Dong-Jun Han ⋅ Jaekyun Moon

Revisiting Confidence Calibration for Misclassification Detection in VLMs

Jincheng Huang ⋅ Jie Xu ⋅ Xiaoshuang Shi ⋅ Ping Hu ⋅ Lei Feng ⋅ Xiaofeng Zhu

Enhancing Trustworthiness of Fine-Tuned LLMs via Regularized Subset Selection

Kumar Shubham ⋅ Nishant Sharma ⋅ Karn Tiwari ⋅ Prathosh AP

TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks

Amira Guesmi ⋅ Bassem Ouni ⋅ Muhammad Shafique

Fair Conformal Classification via Learning Representation-Based Groups

Senrong Xu ⋅ Yanke Zhou ⋅ Yuhao Tan ⋅ Zenan Li ⋅ Yuan Yao ⋅ Taolue Chen ⋅ Feng Xu ⋅ Xiaoxing Ma

Hubble: a Model Suite to Advance the Study of LLM Memorization

Johnny Wei ⋅ Ameya Godbole ⋅ Mohammad Aflah Khan ⋅ Ryan Wang ⋅ Xiaoyuan Zhu ⋅ James Flemings ⋅ Nitya Kashyap ⋅ Krishna Gummadi ⋅ Willie Neiswanger ⋅ Robin Jia

Mechanistic Detection and Mitigation of Hallucination in Large Reasoning Models

Zhongxiang Sun ⋅ Qipeng Wang ⋅ Haoyu Wang ⋅ Xiao Zhang ⋅ Jun Xu

Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark

Xinjie Shen ⋅ Mufei Li ⋅ Pan Li

LiteGuard: Efficient Task-Agnostic Model Fingerprinting with Enhanced Generalization

Guang Yang ⋅ Ziye Geng ⋅ Yihang Chen ⋅ Changqing Luo

PateGAIL++: Utility Optimized Private Trajectory Generation with Imitation Learning

Yingjie Ma ⋅ Bijal Bharadva ⋅ Xin Zhang ⋅ Joann Qiongna Chen

Ice Cream Doesn’t Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference

Jin Du ⋅ Li Chen ⋅ Xun Xian ⋅ An Luo ⋅ Fangqiao Tian ⋅ Ganghua Wang ⋅ Charles Doss ⋅ Xiaotong Shen ⋅ Jie Ding

JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models

Zifan Peng ⋅ Yule Liu ⋅ Zhen Sun ⋅ Mingchen Li ⋅ Zeren Luo ⋅ Jingyi Zheng ⋅ Wenhan Dong ⋅ Xinlei He ⋅ Xuechao Wang ⋅ Yingjie Xue ⋅ Shengmin Xu ⋅ Xinyi Huang

On Fairness of Task Arithmetic: The Role of Task Vectors

Laura Gomezjurado Gonzalez ⋅ Hiroki Naganuma ⋅ Kotaro Yoshida ⋅ Takafumi Horie ⋅ Yuji Naraki ⋅ Ryotaro Shimizu

CheckMate! Watermarking Graph Diffusion Models in Polynomial Time

Roberto Gheda ⋅ Abele Mălan ⋅ Robert Birke ⋅ Maksim Kitsak ⋅ Lydia Chen

Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models

Jiaming Zhang ⋅ CHE WANG ⋅ Yang Cao ⋅ Longtao Huang ⋅ Wei Yang Bryan Lim

PLAGUE: Plug-and-play framework for Lifelong Adaptive Generation of mUlti-turn jailbrEaks

Neeladri Bhuiya ⋅ Madhav Aggarwal ⋅ Diptanshu Purwar

Your Language Model Secretly Contains Personality Subnetworks

Ruimeng Ye ⋅ Zihan Wang ⋅ Zinan Ling ⋅ Yang Xiao ⋅ Manling Li ⋅ Xiaolong Ma ⋅ Bo Hui

Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation

Sayash Kapoor ⋅ Benedikt Stroebl ⋅ Peter Kirgis ⋅ Nitya Nadgir ⋅ Zachary Siegel ⋅ Boyi Wei ⋅ Tianci Xue ⋅ Ziru Chen ⋅ Felix Chen ⋅ Saiteja Utpala ⋅ Franck Ndzomga ⋅ Dheeraj Oruganty ⋅ Sophie Luskin ⋅ Kangheng Liu ⋅ Botao Yu ⋅ Amit Arora ⋅ Dongyoon Hahm ⋅ Harsh Trivedi ⋅ Huan Sun ⋅ Juyong Lee ⋅ Tengjun Jin ⋅ Yifan Mai ⋅ Yifei Zhou ⋅ Yuxuan Zhu ⋅ Rishi Bommasani ⋅ Daniel Kang ⋅ Dawn Song ⋅ Peter Henderson ⋅ Yu Su ⋅ Percy Liang ⋅ Arvind Narayanan

Explainable Mixture Models through Differentiable Rule Learning

Matthias Wilms ⋅ Sascha Xu ⋅ Jilles Vreeken

On the Impact of the Utility in Semivalue-based Data Valuation

Mélissa Tamine ⋅ Benjamin Heymann ⋅ Maxime Vono ⋅ Patrick Loiseau

Evaluating SAE interpretability without generating explanations

Gonçalo Paulo ⋅ Nora Belrose

Latent Concept Disentanglement in Transformer-based Language Models

Guan Zhe Hong ⋅ Bhavya Vasudeva ⋅ Vatsal Sharan ⋅ Cyrus Rashtchian ⋅ Prabhakar Raghavan ⋅ Rina Panigrahy

Hierarchical Concept-based Interpretable Models

Oscar Hill ⋅ Mateo Espinosa Zarlenga ⋅ Mateja Jamnik

Reward Models Inherit Value Biases from Pretraining

Brian Christian ⋅ Jessica Thompson ⋅ Elle Michelle Yang ⋅ Vincent Adam ⋅ Hannah Kirk ⋅ Christopher Summerfield ⋅ Tsvetomira Dumbalska

Learning for Highly Faithful Explainability

Yuhan Guo ⋅ Lizhong Ding ⋅ Shihao Jia ⋅ Yanyu Ren ⋅ Pengqi Li ⋅ Jiarun Fu ⋅ Changsheng Li ⋅ Ye Yuan ⋅ Guoren Wang

Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insights

Haolin Yang ⋅ Hakaze Cho ⋅ Kaize Ding ⋅ Naoya Inoue

PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression

Fabian Fumagalli ⋅ R. Teal Witter ⋅ Christopher Musco

Neuron-Level Analysis of Cultural Understanding in Large Language Models

Taisei Yamamoto ⋅ Ryoma Kumon ⋅ Danushka Bollegala ⋅ Hitomi Yanaka

Learning to Weight Parameters for Training Data Attribution

Shuangqi Li ⋅ Hieu Le ⋅ Jingyi Xu ⋅ Mathieu Salzmann

Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders

Maty Bohacek ⋅ Thomas Fel ⋅ Maneesh Agrawala ⋅ Ekdeep Singh Lubana

Circuit Insights: Towards Interpretability Beyond Activations

Elena Golimblevskaia ⋅ Aakriti Jain ⋅ Bruno Puri ⋅ Ammar Elsaid Mohamed Mohamed Ibrahim ⋅ Wojciech Samek ⋅ Sebastian Lapuschkin

Steering Evaluation-Aware Language Models To Act Like They Are Deployed

Tim Hua ⋅ Andrew Qin ⋅ Samuel Marks ⋅ Neel Nanda

Evaluating Data Influence in Meta Learning

Chenyang Ren ⋅ Huanyi Xie ⋅ Shu Yang ⋅ Meng Ding ⋅ Dongrui Liu ⋅ Lijie Hu ⋅ Di Wang

When Agents “Misremember” Collectively: Exploring the Mandela Effect in LLM-based Multi-Agent Systems

Naen Xu ⋅ Hengyu An ⋅ Shuo Shi ⋅ Jinghuai Zhang ⋅ Chunyi Zhou ⋅ Changjiang Li ⋅ Tianyu Du ⋅ Zhihui Fu ⋅ Jun Wang ⋅ Shouling Ji

Explainable LLM Unlearning through Reasoning

Junfeng Liao ⋅ Qizhou Wang ⋅ Shanshan Ye ⋅ Xin Yu ⋅ Ling Chen ⋅ Zhen Fang

THE SELF-RE-WATERMARKING TRAP: FROM EXPLOIT TO RESILIENCE

Vithurabiman Senthuran ⋅ Yong Xiang ⋅ Iynkaran Natgunanathan ⋅ Uthayasanker Thayasivam

Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts

Yujie Lin ⋅ Kunquan Li ⋅ YiXuan Liao ⋅ Xiaoxin Chen ⋅ Jinsong Su

FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning

Liheng Yu ⋅ Zhe Zhao ⋅ Yuxuan Wang ⋅ Pengkun Wang ⋅ Xiaofeng Cao ⋅ Binwu Wang ⋅ Yang Wang

Token-level Data Selection for Safe LLM Fine-tuning

Yanping Li ⋅ Zhening Liu ⋅ Zijian Li ⋅ Zehong Lin ⋅ Jun Zhang

RESCUE: Retrieval Augmented Secure Code Generation

Jiahao Shi ⋅ Tianyi Zhang

Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges

Hamin Koo ⋅ Minseon Kim ⋅ Jaehyung Kim

Benchmarking Overton Pluralism in LLMs

Elinor Poole-Dayan ⋅ Jiayi Wu ⋅ Taylor Sorensen ⋅ Jiaxin Pei ⋅ Michiel Bakker

Monitoring Decomposition Attacks with Lightweight Sequential Monitors

Chen Yueh-Han ⋅ Nitish Joshi ⋅ Yulin Chen ⋅ Maksym Andriushchenko ⋅ Rico Angell ⋅ He He

JailbreakLoRA: Your Downloaded LoRA from Sharing Platforms might be Unsafe

Fanjunduo Wei ⋅ Zhenheng Tang ⋅ Rongfei Zeng ⋅ Tongliang Liu ⋅ Chengqi Zhang ⋅ Xiaowen Chu ⋅ Bo Han

Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability

Taylor Sorensen ⋅ Benjamin Newman ⋅ Jared Moore ⋅ Chan Young Park ⋅ Jillian Fisher ⋅ Niloofar Mireshghallah ⋅ Liwei Jiang ⋅ Yejin Choi

Reasoning Boosts Opinion Alignment in LLMs

Frédéric Berdoz ⋅ Yann Billeter ⋅ Yann Vonlanthen ⋅ Roger Wattenhofer

A2ASecBench: A Protocol-Aware Security Benchmark for Agent-to-Agent Multi-Agent Systems

Tianhao Li ⋅ Chuangxin Chu ⋅ Yujia Zheng ⋅ Bohan Zhang ⋅ Neil Gong ⋅ Chaowei Xiao

Fed-Duet: Dual Expert-Orchestrated Framework for Continual Federated Vision-Language Learning

Tao GUO ⋅ Junwei Chen ⋅ Laizhong Cui

Residual Feature Integration is Sufficient to Prevent Negative Transfer

Yichen Xu ⋅ Ryumei Nakada ⋅ Linjun Zhang ⋅ Lexin Li

On the Bayes Inconsistency of Disagreement Discrepancy Surrogates

Neil Marchant ⋅ Andrew Cullen ⋅ Feng Liu ⋅ Sarah Erfani

TangleScore: Tangle-Guided Purge and Imprint for Unstructured Knowledge Editing

Hao-Xiang Xu ⋅ Ziqi Peng ⋅ Jun-Yu Ma ⋅ Yuhao Sun ⋅ Zhen-Hua Ling ⋅ Jia-Chen Gu

Naming to Learn: Class Incremental Learning for Vision-Language Model with Unlabeled Data

Qiwei Li ⋅ Xiaochen Yang ⋅ Jiahuan Zhou

General search techniques without common knowledge for imperfect-information games, and application to superhuman Fog of War chess

Brian Zhang ⋅ Tuomas Sandholm

Bi-Criteria Metric Distortion

Kiarash Banihashem ⋅ Diptarka Chakraborty ⋅ Shayan Jahan ⋅ Iman Gholami ⋅ MohammadTaghi Hajiaghayi ⋅ Mohammad Mahdavi ⋅ Max Springer

Learning-Augmented Moment Estimation on Time-Decay Models

Soham Nagawanshi ⋅ Shalini Panthangi ⋅ Chen Wang ⋅ David Woodruff ⋅ Samson Zhou

Non-Asymptotic Analysis of (Sticky) Track-and-Stop

Riccardo Poiani ⋅ Martino Bernasconi ⋅ Andrea Celli

Quantum machine learning advantages beyond hardness of evaluation

Riccardo Molteni ⋅ Simon Marshall ⋅ Vedran Dunjko

Achieving Approximate Symmetry Is Exponentially Easier than Exact Symmetry

Behrooz Tahmasebi ⋅ Melanie Weber

Dataset Distillation for Memorized Data: Soft Labels can Leak Held-Out Teacher Knowledge

Freya Behrens ⋅ Lenka Zdeborova

Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections

Zhuo Liu ⋅ Tao Chen

Subquadratic Algorithms and Hardness for Attention with Any Temperature

Shreya Gupta ⋅ Boyang Huang ⋅ Barna Saha ⋅ Yinzhan Xu ⋅ Christopher Ye

Near-Optimal Sample Complexity Bounds for Constrained Average-Reward MDPs

Yukuan Wei ⋅ Xudong Li ⋅ Lin Yang

Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity

Noa Rubin ⋅ Orit Davidovich ⋅ Zohar Ringel

Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds

Sujoy Bhore ⋅ Liana Khazaliya ⋅ Fionn Mc Inerney

Bandit Learning in Matching Markets Robust to Adversarial Corruptions

Zheshun Wu ⋅ Jinhang Zuo ⋅ Zenglin Xu ⋅ Fang Kong

The Price of Robustness: Stable Classifiers Need Overparameterization

Jonas von Berg ⋅ Adalbert Fono ⋅ Massimiliano Datres ⋅ Sohir Maskey ⋅ Gitta Kutyniok

Sparling: End-to-End Spatial Concept Learning via Extremely Sparse Activations

Kavi Gupta ⋅ Osbert Bastani ⋅ Armando Solar-Lezama

Signal in the Noise: Polysemantic Interference Transfers and Predicts Cross-Model Influence

Bofan Gong ⋅ Shiyang Lai ⋅ James Evans ⋅ Dawn Song

LinguaMap: Which Layers of LLMs Speak Your Language and How to Tune Them?

J. Ben Tamo ⋅ Daniel Carlander-Reuterfelt ⋅ Jonathan Rubin ⋅ Oleg Poliannikov ⋅ Dezhi Hong ⋅ Mingxian Wang

Mapping Semantic & Syntactic Relationships with Geometric Rotation

Michael Freenor ⋅ Lauren Alvarez

Bilinear representation mitigates reversal curse and enables consistent model editing

Dong-Kyum Kim ⋅ Minsung Kim ⋅ Jea Kwon ⋅ Nakyeong Yang ⋅ Meeyoung Cha

Feature segregation by signed weights in artificial vision systems and biological models

Giordano Ramos-Traslosheros ⋅ Carlos Ponce

The Geometry of Reasoning: Flowing Logics in Representation Space

Yufa Zhou ⋅ Yixiao Wang ⋅ Xunjian Yin ⋅ Shuyan Zhou ⋅ Anru Zhang

Internal Planning in Language Models: Characterizing Horizon and Branch Awareness

Muhammed Ustaomeroglu ⋅ Baris Askin ⋅ Gauri Joshi ⋅ Carlee Joe-Wong ⋅ Guannan Qu

Automated Interpretability Metrics Do Not Distinguish Trained and Random Transformers

Thomas Heap ⋅ Tim Lawson ⋅ Lucy Farnik ⋅ Laurence Aitchison

NIMO: a Nonlinear Interpretable MOdel

Shijian Xu ⋅ Marcello Negri ⋅ Volker Roth

Unveiling Super Experts in Mixture-of-Experts Large Language Models

Zunhai Su ⋅ Qingyuan Li ⋅ HaoZhang ⋅ Weihao Ye ⋅ Qibo Xue ⋅ Yulei Qian ⋅ Ngai Wong ⋅ Kehong Yuan

Structural Inference: Interpreting Small Language Models with Susceptibilities

Garrett Baker ⋅ George Wang ⋅ Jesse Hoogland ⋅ Vinayak Pathak ⋅ Daniel Murfet

A Hidden Semantic Bottleneck in Conditional Embeddings of Diffusion Transformers

Trung X. Pham ⋅ Kang Zhang ⋅ Ji Woo Hong ⋅ Chang Yoo

Causal Interpretation of Neural Network Computations with Contribution Decomposition

Joshua Melander ⋅ Zaki Alaoui ⋅ Shenghua Liu ⋅ Surya Ganguli ⋅ Stephen Baccus

Performative Prediction made practical

Javier Sanguino Bautiste ⋅ Thomas Kehrenberg ⋅ Carlos Rosety ⋅ Jose A. Lozano ⋅ Novi Quadrianto

Gradient Descent with Large Step Sizes: Chaos and Fractal Convergence Region

Shuang Liang ⋅ Guido Montufar

Explaining Grokking and Information Bottleneck through Neural Collapse Emergence

Keitaro Sakamoto ⋅ Issei Sato

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems

Jieyi Bi ⋅ Zhiguang Cao ⋅ Jianan Zhou ⋅ Wen Song ⋅ Yaoxin Wu ⋅ Jie Zhang ⋅ Yining Ma ⋅ Cathy Wu

Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime

Beomhan Baek ⋅ Minhak Song ⋅ Chulhee Yun

Communication-Efficient Decentralized Optimization via Double-Communication Symmetric ADMM

Jinrui Huang ⋅ Xueqin Wang ⋅ Dong Liu ⋅ Jingguo Lan ⋅ Runxiong Wu

Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization

Chaewon Moon ⋅ Dongkuk Si ⋅ Chulhee Yun

Online Black-Box Prompt Optimization with Regret Guarantees under Noisy Feedback

Jinjie Fang ⋅ Runwen You ⋅ Wanli Shi ⋅ Wenkang Wang ⋅ Ganyu Wang ⋅ Haozhen Zhang ⋅ Yi Chang ⋅ Bin Gu

Softmax is not Enough (for Adaptive Conformal Classification)

Navid Akhavan Attar ⋅ Hesam Asadollahzadeh ⋅ Ling Luo ⋅ Uwe Aickelin

Revisiting Nonstationary Kernel Design for Multi-Output Gaussian Processes

Qiaochu Xu ⋅ Zi Yang ⋅ Ying Li ⋅ Michael Minyi Zhang ⋅ Pablo Olmos

An Optimal Diffusion Approach to Quadratic Rate-Distortion Problems: New Solution and Approximation Methods

Dror Freirich ⋅ Nir Weinberger

Smooth Calibration Error: Uniform Convergence and Functional Gradient Analysis

Futoshi Futami ⋅ Atsushi Nitanda

HOTA: Hamiltonian framework for Optimal Transport Advection

Nazar Buzun ⋅ Daniil Shlenskii ⋅ Maksim Bobrin ⋅ Dmitry Dylov

Inference-Time Scaling of Discrete Diffusion Models via Importance Weighting and Optimal Proposal Design

Zijing Ou ⋅ Chinmay Pani ⋅ Yingzhen Li

Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs

Preetum Nakkiran ⋅ Arwen Bradley ⋅ Adam Golinski ⋅ Eugene Ndiaye ⋅ Michael Kirchhof ⋅ Sinead Williamson

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning

Patrik Reizinger ⋅ Bálint Mucsányi ⋅ Siyuan Guo ⋅ Benjamin Eysenbach ⋅ Bernhard Schölkopf ⋅ Wieland Brendel

Q-Learning with Fine-Grained Gap-Dependent Regret

Haochen Zhang ⋅ Zhong Zheng ⋅ Lingzhou Xue

Minimax Optimal Adversarial Reinforcement Learning

Yudan Wang ⋅ Kaiyi Ji ⋅ Ming Shi ⋅ Shaofeng Zou

Solving General-Utility Markov Decision Processes in the Single-Trial Regime with Online Planning

Pedro Santos ⋅ Alberto Sardinha ⋅ Francisco S. Melo

MCbiF: Measuring Topological Autocorrelation in Multiscale Clusterings via 2-Parameter Persistent Homology

Juni Schindler ⋅ Mauricio Barahona

Hierarchical Multi-Stage Recovery Framework for Kronecker Compressed Sensing

Yanbin He ⋅ Geethu Joseph

Toward Conservative Planning from Human-AI Preferences in Reinforcement Learning

Huazhong Wang ⋅ Wenzhuo Zhou

Flow Actor-Critic for Offline Reinforcement Learning

Jongseong Chae ⋅ Jongeui Park ⋅ Yongjae Shin ⋅ Gyeongmin Kim ⋅ Seungyul Han ⋅ Youngchul Sung

Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning

Prajwal Koirala ⋅ Cody Fleming

Vintix II: Decision Pre-Trained Transformer is a Scalable In-Context Reinforcement Learner

Andrei Polubarov ⋅ Lyubaykin Nikita ⋅ Alexander Derevyagin ⋅ Artyom Grishin ⋅ Igor Saprygin ⋅ Aleksandr Serkov ⋅ Mark Averchenko ⋅ Daniil Tikhonov ⋅ Maksim Zhdanov ⋅ Alexander Nikulin ⋅ Ilya Zisman ⋅ Albina Klepach ⋅ Alexey Zemtsov ⋅ Vladislav Kurenkov

GAS: Enhancing Reward-Cost Balance of Generative Model-assisted Offline Safe RL

Zifan LIU ⋅ Xinran Li ⋅ Shibo Chen ⋅ Jun Zhang

Keep the Best, Forget the Rest: Reliable Alignment with Order-Aware Preference Optimization

Jiahui Zhu ⋅ Yuanjie Shi ⋅ Xiyue Peng ⋅ Xin Liu ⋅ Yan Yan ⋅ Honghao Wei

Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets

Haruki Abe ⋅ Takayuki Osa ⋅ YUSUKE Mukuta ⋅ Tatsuya Harada

Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning

Daniel Lawson ⋅ Adriana Hugessen ⋅ Charlotte Cloutier ⋅ Glen Berseth ⋅ Khimya Khetarpal

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning

Aravind Venugopal ⋅ Jiayu Chen ⋅ Xudong Wu ⋅ Chongyi Zheng ⋅ Benjamin Eysenbach ⋅ Jeff Schneider

Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning

Franki NGUIMATSIA TIOFACK ⋅ Théotime Le Hellard ⋅ Fabian Schramm ⋅ Nicolas Perrin-Gilbert ⋅ Justin Carpentier

One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Learning

Xuan Thanh Nguyen ⋅ Chang Yoo

Polychromic Objectives for Reinforcement Learning

Jubayer Hamid ⋅ Ifdita Orney ⋅ Ellen Xu ⋅ Chelsea Finn ⋅ Dorsa Sadigh

Learning to Reason as Action Abstractions with Scalable Mid-Training RL

Shenao Zhang ⋅ Donghan Yu ⋅ Yihao Feng ⋅ Bowen Jin ⋅ Zhaoran Wang ⋅ John Peebles ⋅ Zirui Wang

Reinforcement Mid-Training

Yijun Tian ⋅ Shaoyu Chen ⋅ Zhichao Xu ⋅ Yawei Wang ⋅ Jinhe Bi ⋅ Peng Han ⋅ Wei Wang

Optimistic Task Inference for Behavior Foundation Models

Thomas Rupf ⋅ Marco Bagatella ⋅ Marin Vlastelica ⋅ Andreas Krause

Cross-Domain Policy Optimization via Bellman Consistency and Hybrid Critics

Ming-Hong Chen ⋅ Kuan-Chen Pan ⋅ You-De Huang ⋅ Xi Liu ⋅ Ping-Chun Hsieh

Scalable Exploration for High-Dimensional Continuous Control via Value-Guided Flow

Yunyue Wei ⋅ Chenhui Zuo ⋅ Yanan Sui

Bridging Successor Measure and Online Policy Learning with Flow Matching-Based Representations

Haosen Shi ⋅ Jianda Chen ⋅ Sinno Jialin Pan

From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation

Yuxin Jiang ⋅ Yufei Wang ⋅ Qiyuan Zhang ⋅ Xingshan Zeng ⋅ Liangyou Li ⋅ Jierun Chen ⋅ Chaofan Tao ⋅ Haoli Bai ⋅ Lifeng Shang

Search Self-Play: Pushing the Frontier of Agent Capability without Supervision

Hongliang Lu ⋅ Yuhang Wen ⋅ Pengyu Cheng ⋅ Ruijin Ding ⋅ Jiaqi Guo ⋅ Haotian Xu ⋅ Chutian Wang ⋅ Haonan Chen ⋅ xiaoxi jiang ⋅ guanjunjiang

Transitive RL: Value Learning via Divide and Conquer

Seohong Park ⋅ Aditya Oberai ⋅ Pranav Atreya ⋅ Sergey Levine

Mastering Sparse CUDA Generation through Pretrained Models and Deep Reinforcement Learning

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

Structured Reasoning for LLMs: A Unified Framework for Efficiency and Explainability

Yubo Dong ⋅ Hehe Fan ⋅ Linchao Zhu ⋅ Yi Yang

TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning

Marco Bagatella ⋅ Matteo Pirotta ⋅ Ahmed Touati ⋅ Alessandro Lazaric ⋅ Andrea Tirinzoni

Universal Value-Function Uncertainties

Moritz Akiya Zanger ⋅ Max Weltevrede ⋅ Yaniv Oren ⋅ Pascal R Van der Vaart ⋅ Caroline Horsch ⋅ Wendelin Boehmer ⋅ Matthijs T. J. Spaan

Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards

Faisal Mohamed ⋅ Catherine Ji ⋅ Benjamin Eysenbach ⋅ Glen Berseth

RiskPO: Risk-based Policy Optimization with Verifiable Reward for LLM Post-Training

Tao Ren ⋅ Jinyang Jiang ⋅ Hui Yang ⋅ Wan Tian ⋅ Minhao Zou ⋅ Guanghao Li ⋅ Zishi Zhang ⋅ Qinghao Wang ⋅ Shentao Qin ⋅ Yanjun Zhao ⋅ Rui Tao ⋅ Hui Shao ⋅ Yijie Peng

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields

Som Sagar ⋅ Jiafei Duan ⋅ Sreevishakh Vasudevan ⋅ Yifan Zhou ⋅ Heni Ben Amor ⋅ Dieter Fox ⋅ Ransalu Senanayake

QuRL: Rubrics As Judge For Open-Ended Question Answering

Xiyu Wei ⋅ Qingwei Zong ⋅ Xiaoguang Li ⋅ Eugene Yu ⋅ Sujian Li

Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL

Manuel Serra Nunes ⋅ Atabak Dehban ⋅ Yiannis Demiris ⋅ José Santos-Victor

Relative Entropy Pathwise Policy Optimization

Claas Voelcker ⋅ Axel Brunnbauer ⋅ Marcel Hussing ⋅ Michal Nauman ⋅ Pieter Abbeel ⋅ Radu Grosu ⋅ ERIC EATON ⋅ Amir-massoud Farahmand ⋅ Igor Gilitschenski

Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns

Dong Tian ⋅ Onur Celik ⋅ Gerhard Neumann

Multi-Bellman operator for convergence of Q-learning with linear function approximation

Diogo S. Carvalho · Pedro A. Santos · Francisco S. Melo

On Discovering Algorithms for Adversarial Imitation Learning

Shashank Reddy Chirra ⋅ Jayden Teoh ⋅ Praveen Paruchuri ⋅ Pradeep Varakantham

Imitation Learning as Return Distribution Matching

Filippo Lazzati ⋅ Alberto Maria Metelli

Opponent Shaping in LLM Agents

Marta Emili Garcia Segura ⋅ Stephen Hailes ⋅ Mirco Musolesi

Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectories?

Aochong Li ⋅ Tanya Goyal

Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form

Xuefeng Wang ⋅ Lei Zhang ⋅ Henglin Pu ⋅ Husheng Li ⋅ Ahmed Hussain Qureshi

GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time

Divij Handa ⋅ Mihir Parmar ⋅ Aswin RRV ⋅ Md Nayem Uddin ⋅ Hamid Palangi ⋅ Chitta Baral

Emergent Coordination in Multi-Agent Language Models

Christoph Riedl

Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning

Wei Yang ⋅ Defu Cao ⋅ Jiacheng Pang ⋅ Muyan Weng ⋅ Yan Liu

Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies

Han Zhou ⋅ Xingchen Wan ⋅ Ruoxi Sun ⋅ Hamid Palangi ⋅ Shariq Iqbal ⋅ Ivan Vulić ⋅ Anna Korhonen ⋅ Sercan Arik

From Assumptions to Actions: Turning LLM Reasoning into Uncertainty-Aware Planning for Embodied Agents

SeungWon Seo ⋅ SooBin Lim ⋅ SeongRae Noh ⋅ Haneul Kim ⋅ HyeongYeop Kang

STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure TransFormer for Offline Mulit-task Multi-agent Reinforcement Learning

Jiwon Jeon ⋅ Myungsik Cho ⋅ Youngchul Sung

Best-of-Infinity: Asymptotic Performance of Test-Time LLM Ensembling

Junpei Komiyama ⋅ Daisuke Oba ⋅ Masafumi Oyamada

HiPO: Self-Hint Policy Optimization for RLVR

Deng Qiyuan ⋅ Kehai Chen ⋅ Min Zhang ⋅ Zhongwen Xu

DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models

Donya Jafari ⋅ Farzan Farnia

Is Pure Exploitation Sufficient in Exogenous MDPs with Linear Function Approximation?

Hao Liang ⋅ Jiayu Cheng ⋅ Sean Sinclair ⋅ Yali Du

Text2Grad: Reinforcement Learning from Natural Language Feedback

Hanyang Wang ⋅ Lu Wang ⋅ Chaoyun Zhang ⋅ Tianjun Mao ⋅ Si Qin ⋅ Qingwei Lin ⋅ Saravan Rajmohan ⋅ Dongmei Zhang

Combinatorial Rising Bandits

Seokbin Song ⋅ Youngsik Yoon ⋅ Siwei Wang ⋅ Wei Chen ⋅ Jungseul Ok

R2-Dreamer: Redundancy-Reduced World Models without Decoders or Augmentation

Naoki Morihira ⋅ Amal Nahar ⋅ Kartik Bharadwaj ⋅ Yasuhiro Kato ⋅ Akinobu Hayashi ⋅ Tatsuya Harada

Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching

Dongxie Wen ⋅ Hanyan Yin ⋅ Xiao Zhang ⋅ Peng Zhao ⋅ Lijun Zhang ⋅ Zhewei Wei

Mathesis: Towards Formal Theorem Proving from Natural Languages

Xuejun Yu ⋅ Jianyuan Zhong ⋅ Zijin Feng ⋅ Pengyi Zhai ⋅ Roozbeh Mohit ⋅ Wei Ng ⋅ Haoxiong Liu ⋅ Ziyi Shou ⋅ Jing Xiong ⋅ Yudong Zhou ⋅ Claudia Ong ⋅ Austen Sugiarto ⋅ Yaoxi Zhang ⋅ Wai Ming Tai ⋅ Huan Cao ⋅ Dongcai Lu ⋅ Jiacheng Sun ⋅ Qiang Xu ⋅ Shen Xin ⋅ Zhenguo Li

Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning

Haoran Dang ⋅ Cuiling Lan ⋅ Hai Wan ⋅ Xibin Zhao ⋅ Yan Lu

Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning

Yongjae Shin ⋅ Jongseong Chae ⋅ Jongeui Park ⋅ Youngchul Sung

Code Driven Planning with Domain-Adaptive Selector

Zikang Tian ⋅ Shaohui Peng ⋅ Di Huang ⋅ Jiaming Guo ⋅ Ruizhi Chen ⋅ Rui Zhang ⋅ Xishan Zhang ⋅ Yuxuan Guo ⋅ Zidong Du ⋅ Qi Guo ⋅ Ling Li ⋅ Yewen Pu ⋅ Xing Hu ⋅ Yunji Chen

Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms?

Zijian Zhao ⋅ Sen Li

GTool: Graph Enhanced Tool Planning with Large Language Model

Wenjie Chen ⋅ Di Yao ⋅ Wenbin Li ⋅ Xuying Meng ⋅ Chang Gong ⋅ Jingping Bi

Automating the Refinement of Reinforcement Learning Specifications

Tanmay Sadanand Ambadkar ⋅ Djordje Zikelic ⋅ Abhinav Verma

ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning

Yichao Liang ⋅ Dat Nguyen ⋅ Cambridge Yang ⋅ Tianyang Li ⋅ Joshua B Tenenbaum ⋅ Carl Edward Rasmussen ⋅ Adrian Weller ⋅ Zenna Tavares ⋅ Tom Silver ⋅ Kevin Ellis

Test-Time Alignment for Large Language Models via Textual Model Predictive Control

Kuang-Da Wang ⋅ Teng-Ruei Chen ⋅ Yu Heng Hung ⋅ Guo-Xun Ko ⋅ Shuoyang Ding ⋅ Yueh-Hua Wu ⋅ Yu-Chiang Frank Wang ⋅ Chao-Han Huck Yang ⋅ Wen-Chih Peng ⋅ Ping-Chun Hsieh

Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game

Barna Pásztor ⋅ Thomas Kleine Buening ⋅ Andreas Krause

HARDTESTGEN: A High-Quality RL Verifier Generation Pipeline for LLM Algorithimic Coding

Zhongmou He ⋅ Yee Man Choi ⋅ Kexun Zhang ⋅ Ivan Bercovich ⋅ Jiabao Ji ⋅ Junting Zhou ⋅ Dejia Xu ⋅ Aidan Zhang ⋅ Yixiao Zeng ⋅ Lei Li

Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization

Yanning Dai ⋅ Yuhui Wang ⋅ Dylan Ashley ⋅ Jürgen Schmidhuber

Bayesian Ensemble for Sequential Decision-Making

Rui Liu ⋅ Enmin Zhao ⋅ Lu Wang ⋅ Yu Li ⋅ Ming Pang ⋅ Changping Peng ⋅ Zhangang Lin ⋅ Ching Law ⋅ Jingping Shao

Balancing the Experts: Unlocking LoRA-MoE for GRPO via Mechanism-Aware Rewards

Changlian Ma ⋅ Zizheng Huang ⋅ Xiangyu Zeng ⋅ Yi Wang ⋅ Cheng Liang ⋅ Kun Tian ⋅ Xinhai Zhao ⋅ Limin Wang

Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy

Yuhao Liu ⋅ Liang Zeng ⋅ Yuzhen Xiao ⋅ Jujie He ⋅ Jiacai Liu ⋅ Chaojie Wang ⋅ Rui Yan ⋅ Wei Shen ⋅ Fuxiang Zhang ⋅ Jiacheng Xu ⋅ Yang Liu

SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning

Yuqian Fu ⋅ Tinghong Chen ⋅ Jiajun Chai ⋅ Xihuai Wang ⋅ Songjun Tu ⋅ Guojun Yin ⋅ Wei Lin ⋅ Qichao Zhang ⋅ Yuanheng Zhu ⋅ Dongbin Zhao

WIMLE: Uncertainty‑Aware World Models with IMLE for Sample‑Efficient Continuous Control

Mehran Aghabozorgi ⋅ Alireza Moazeni ⋅ Yanshu Zhang ⋅ Ke Li

Breaking Barriers: Do Reinforcement Post Training Gains Transfer To Unseen Domains?

Chuxuan Hu ⋅ Yuxuan Zhu ⋅ Antony Kellermann ⋅ Caleb Biddulph ⋅ Suppakit Waiwitlikhit ⋅ Jason Benn ⋅ Daniel Kang

On the Tension Between Optimality and Adversarial Robustness in Policy Optimization

Haoran Li ⋅ Jiayu Lv ⋅ Congying Han ⋅ Zicheng Zhang ⋅ Anqi Li ⋅ Yan Liu ⋅ Tiande Guo ⋅ Nan Jiang

WorldGym: World Model as An Environment for Policy Evaluation

Julian Quevedo ⋅ Ansh Kumar Sharma ⋅ Yixiang Sun ⋅ Varad Suryavanshi ⋅ Percy Liang ⋅ Sherry Yang

Scaling Large Vision-Language Model RL Training via Efficient Load Balancing

Zerui Wang ⋅ Qinghao Hu ⋅ Chang Chen ⋅ Jiecheng Zhou ⋅ Haojie Duanmu ⋅ Xingcheng Zhang ⋅ Peng Sun ⋅ Dahua Lin

StoryAlign: Evaluating and Training Reward Models for Story Generation

Haotian Xia ⋅ Hao Peng ⋅ Yunjia Qi ⋅ Xu Bin ⋅ Lei Hou ⋅ Juanzi Li

One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration

Zaid Khan ⋅ Archiki Prasad ⋅ Elias Stengel-Eskin ⋅ Jaemin Cho ⋅ Mohit Bansal

Automated Stateful Specialization for Adaptive Agent Systems

Myan Vu ⋅ Harrish Ayyanar ⋅ PANG JIANG ⋅ Anwiketh Reddy ⋅ Mayank Goel

RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents

Peisong Wang ⋅ Ruotian Ma ⋅ Bang Zhang ⋅ Xingyu Chen ⋅ Zhiwei He ⋅ Kang Luo ⋅ Qingsong Lv ⋅ Qingxuan Jiang ⋅ Zheng Xie ⋅ Shanyi Wang ⋅ CIXING LI ⋅ Yuan Li ⋅ Fanghua Ye ⋅ Jian Li ⋅ Yifan Yang ⋅ Jia Li ⋅ Zhaopeng Tu ⋅ Xiaolong Li

SUSD: Structured Unsupervised Skill Discovery through State Factorization

Seyed Mohammad Hadi Hosseini ⋅ Mahdieh Baghshah

EffiVMT: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning

Yue Ma ⋅ Yulong Liu ⋅ Qiyuan Zhu ⋅ Xiangpeng Yang ⋅ Kunyu Feng ⋅ Xinhua Zhang ⋅ Zexuan Yan ⋅ Zhifeng Li ⋅ Sirui Han ⋅ Chenyang Qi ⋅ Qifeng Chen

Adaptive Conformal Prediction via Mixture-of-Experts Gating Similarity

Jingsen Kong ⋅ Wenlu Tang ⋅ Dezheng Kong ⋅ Linglong Kong ⋅ Guangren Yang ⋅ Bei Jiang

Align Once, Benefit Multilingually: Enforcing Multilingual Consistency for LLM Safety Alignment

Yuyan Bu ⋅ Xiaohao Liu ⋅ ZhaoXing Ren ⋅ Yaodong Yang ⋅ Juntao Dai

AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations

Cheng Jiayang ⋅ Dongyu Ru ⋅ Lin Qiu ⋅ Yiyang Li ⋅ Xuezhi Cao ⋅ Yangqiu Song ⋅ Xunliang Cai

Beyond Magnitude: Leveraging Direction of RLVR Updates for LLM Reasoning

Kexin Huang ⋅ Haoming Meng ⋅ Junkang Wu ⋅ Jinda Lu ⋅ Chiyu Ma ⋅ Ziqian Chen ⋅ xue wang ⋅ Bolin Ding ⋅ Jiancan Wu ⋅ Xiang Wang ⋅ Xiangnan He ⋅ Guoyin Wang ⋅ Jingren Zhou

On the Predictive Power of Representation Dispersion in Language Models

Yanhong Li ⋅ Ming Li ⋅ Karen Livescu ⋅ Jiawei Zhou

Terminal Velocity Matching

Linqi Zhou ⋅ Mathias Parger ⋅ Ayaan Haque ⋅ Jiaming Song

Learning to Segment for Vehicle Routing Problems

Wenbin Ouyang ⋅ Sirui Li ⋅ Yining Ma ⋅ Cathy Wu

Latent Fourier Transform

Mason Wang ⋅ Anna Huang

LongLive: Real-time Interactive Long Video Generation

Shuai Yang ⋅ Wei Huang ⋅ Ruihang Chu ⋅ Yicheng Xiao ⋅ Yuyang Zhao ⋅ Xianbang Wang ⋅ Muyang Li ⋅ Enze Xie ⋅ YINGCONG CHEN ⋅ Yao Lu ⋅ Song Han ⋅ Yukang Chen

Distribution-Aware Multi-Granularity Phase Coding: Towards Lower Conversion Error for Spike-Driven Large Language Models

Hanyuan Zheng ⋅ Haozhen Zhang ⋅ Tianshuo Chen ⋅ Zhaogeng Liu ⋅ Yi Chang ⋅ Bin Gu

Robust Decision-Making with Partially Calibrated Forecasters

Shayan Kiyani ⋅ Hamed Hassani ⋅ George Pappas ⋅ Aaron Roth

Learning to Reason over Continuous Tokens with Reinforcement Learning

Yiran Zhao ⋅ Yuhui Xu ⋅ Doyen Sahoo ⋅ Caiming Xiong ⋅ Junnan Li

Slicing Wasserstein over Wasserstein via Functional Optimal Transport

Moritz Piening ⋅ Robert Beinert

SCI-Verifier: Scientific Verifier with Thinking

Shenghe Zheng ⋅ Chenyu Huang ⋅ Fangchen Yu ⋅ Junchi Yao ⋅ Jingqi Ye ⋅ Tao Chen ⋅ Yun Luo ⋅ Ning Ding ⋅ LEI BAI ⋅ Ganqu Cui ⋅ Peng Ye

Efficient Degradation-agnostic Image Restoration via Channel-Wise Functional Decomposition and Manifold Regularization

Bin Ren ⋅ Yawei Li ⋅ Xu Zheng ⋅ Yuqian Fu ⋅ Danda Pani Paudel ⋅ Hong Liu ⋅ Ming-Hsuan Yang ⋅ Luc Van Gool ⋅ Nicu Sebe

C-Evolve: Consensus-based Evolution for Prompt Groups

Tiancheng Li ⋅ Yuhang Wang ⋅ Zhiyang Chen ⋅ Zijun Wang ⋅ Liyuan Ma ⋅ Guo-Jun Qi

Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning

Wenlong Deng ⋅ YI REN ⋅ Yushu Li ⋅ Boying Gong ⋅ Danica Sutherland ⋅ Xiaoxiao Li ⋅ Christos Thrampoulidis

Statistical Guarantees for Offline Domain Randomization

Arnaud Fickinger ⋅ Abderrahim Bendahi ⋅ Stuart Russell

STEM: SCALING TRANSFORMERS WITH EMBEDDING MODULES

Ranajoy Sadhukhan ⋅ Sheng Cao ⋅ Harry Dong ⋅ Changsheng Zhao ⋅ Attiano Purpura-Pontoniere ⋅ Yuandong Tian ⋅ Zechun Liu ⋅ Beidi Chen

MiSS: Revisiting the Trade-off in LoRA with an Efficient Shard-Sharing Structure

Jiale Kang ⋅ Qingyu Yin

MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Zhenting Wang ⋅ Qi Chang ⋅ Hemani Patel ⋅ Shashank Biju ⋅ Cheng-En Wu ⋅ Quan Liu ⋅ Aolin Ding ⋅ Alireza Rezazadeh ⋅ Ankit Parag Shah ⋅ Yujia Bao ⋅ Eugene Siow

In-Context Watermarks for Large Language Models

Yepeng Liu ⋅ Xuandong Zhao ⋅ Christopher Kruegel ⋅ Dawn Song ⋅ Yuheng Bu

SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention

Jintao Zhang ⋅ Haoxu Wang ⋅ Kai Jiang ⋅ Shuo Yang ⋅ Kaiwen Zheng ⋅ Haocheng Xi ⋅ Ziteng Wang ⋅ Hongzhou Zhu ⋅ Min Zhao ⋅ Ion Stoica ⋅ Joseph E Gonzalez ⋅ Jianfei Chen ⋅ Jun Zhu

How Do Medical MLLMs Fail? A Study on Visual Grounding in Medical Images

Guimeng Liu ⋅ Tianze Yu ⋅ Somayeh Ebrahimkhani ⋅ Shawn Lin ⋅ Kok Pin Ng ⋅ Man Cheung

Comparing the learning dynamics of in-context learning and fine-tuning in language models

Basile Confavreux ⋅ Aaditya Singh ⋅ Jin Hwa Lee ⋅ Amaury Sabran ⋅ Andrew Saxe

CE-Nav: Flow-Guided Reinforcement Refinement for Cross-Embodiment Local Navigation

Kai Yang ⋅ Tianlin Zhang ⋅ Zhengbo Wang ⋅ Zedong Chu ⋅ Xiaolong Wu ⋅ Yang Cai ⋅ Mu Xu

Hallucination Reduction with CASAL: Contrastive Activation Steering for Amortized Learning

Wannan Yang ⋅ Xinchi Qiu ⋅ Lei Yu ⋅ Yuchen Zhang ⋅ Aobo Yang ⋅ Narine Kokhlikyan ⋅ Nicola Cancedda ⋅ Diego Garcia-Olano

Fair Reinforcement Learning for Just AI

Ezgi Korkmaz

Reliable Weak-to-Strong Monitoring of LLM Agents

Neil Kale ⋅ Chen Bo Calvin Zhang ⋅ Kevin Zhu ⋅ Ankit Aich ⋅ Paula Rodriguez ⋅ Christina Knight ⋅ Zifan Wang

SpatialHand: Generative Object Manipulation from 3D Prespective

zehan wang ⋅ Jialei Wang ⋅ Siyu Chen ⋅ Ziang Zhang ⋅ Luping Liu ⋅ Xize Cheng ⋅ Kaihang Pan ⋅ Hengshuang Zhao ⋅ Zhou Zhao

RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation

Jane Luo ⋅ Xin Zhang ⋅ Steven Liu ⋅ Jie Wu ⋅ Jianfeng Liu ⋅ Yiming Huang ⋅ Yangyu Huang ⋅ Chengyu Yin ⋅ Ying Xin ⋅ Yuefeng Zhan ⋅ Hao Sun ⋅ Qi Chen ⋅ Scarlett Li ⋅ Mao Yang

Jailbreak Transferability Emerges from Shared Representations

Rico Angell ⋅ Jannik Brinkmann ⋅ He He

Improved Adversarial Diffusion Compression for Real-World Video Super-Resolution

Bin Chen ⋅ Weiqi Li ⋅ Shijie Zhao ⋅ Xuanyu Zhang ⋅ Junlin Li ⋅ Li zhang ⋅ Jian Zhang

InclusiveVidPose: Bridging the Pose Estimation Gap for Individuals with Limb Deficiencies in Video-Based Motion

Heming Du ⋅ Jiaying Ying ⋅ Sen Wang ⋅ Xue Li ⋅ Kaihao Zhang ⋅ Xin Yu

Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLM

Tianyi Wu ⋅ Xiaoxi Sun ⋅ Yanhua Jiao ⋅ Yulin Li ⋅ Yixin Chen ⋅ Yun-Hao Cao ⋅ Yi-Qi Hu ⋅ Zhuotao Tian

Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding

Yoav Gelberg ⋅ Koshi Eguchi ⋅ Takuya Akiba ⋅ Edoardo Cetin

The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images without Any 3D Knowledge

Haoru Wang ⋅ Kai Ye ⋅ Minghan Qin ⋅ Yangyan Li ⋅ Wenzheng Chen ⋅ Baoquan Chen

A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning across Broad Atlases and Disorders

Xinxu Wei ⋅ Kanhao Zhao ⋅ Yong Jiao ⋅ Lifang He ⋅ Yu Zhang

Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning

Shangzhe Li ⋅ Dongruo Zhou ⋅ Weitong Zhang

WholeBodyVLA: Towards Unified Latent VLA for Whole-body Loco-manipulation Control

Haoran Jiang ⋅ Jin Chen ⋅ Qingwen Bu ⋅ Li Chen ⋅ Modi Shi ⋅ Yanjie Zhang ⋅ Delong Li ⋅ Chuanzhe Suo ⋅ wang chuang ⋅ zhihui peng ⋅ Hongyang Li

References Improve LLM Alignment in Non-Verifiable Domains

Kejian Shi ⋅ Yixin Liu ⋅ Peifeng Wang ⋅ Alexander Fabbri ⋅ Shafiq Joty ⋅ Arman Cohan

Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools

Zhenlong Yuan ⋅ Xiangyan Qu ⋅ Chengxuan Qian ⋅ Rui Chen ⋅ Jing Tang ⋅ Lei Sun ⋅ Xiangxiang Chu ⋅ Dapeng Zhang ⋅ Yiwei Wang ⋅ Yujun Cai ⋅ Shuo Li

Empowering LLM Tool Invocation with Tool-call Reward Model

Da Ma ⋅ Ziyue Yang ⋅ Hongshen Xu ⋅ Haotian Fang ⋅ Kai Yu ⋅ Lu Chen

AutoDrive-R²: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving

Zhenlong Yuan ⋅ Chengxuan Qian ⋅ Jing Tang ⋅ Rui Chen ⋅ Zijian Song ⋅ Lei Sun ⋅ Xiangxiang Chu ⋅ Yujun Cai ⋅ Dapeng Zhang ⋅ Shuo Li

CARD: Towards Conditional Design of Multi-agent Topological Structures

Tongtong Wu ⋅ Yanming Li ⋅ Ziye Tang ⋅ Chen Jiang ⋅ Linhao Luo ⋅ Guilin Qi ⋅ Shirui Pan ⋅ Gholamreza Haffari

Semi-Parametric Contextual Pricing with General Smoothness

Yuxuan Han ⋅ Xiaocong Xu ⋅ Yuxiao Wen ⋅ Yanjun Han ⋅ Ilan Lobel ⋅ Zhengyuan Zhou

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games

Dongmin Park ⋅ Minkyu Kim ⋅ Beongjun Choi ⋅ Junhyuck Kim ⋅ Keon Lee ⋅ Jonghyun Lee ⋅ Inkyu Park ⋅ ByeongUk Lee ⋅ Jaeyoung Hwang ⋅ JAEWOO AHN ⋅ Ameya Mahabaleshwarkar ⋅ Bilal Kartal ⋅ Pritam Biswas ⋅ Yoshi Suhara ⋅ Kangwook Lee ⋅ Jaewoong Cho

MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes

Changsheng Zhao ⋅ Ernie Chang ⋅ Zechun Liu ⋅ Chia-Jung Chang ⋅ Wei Wen ⋅ Chen Lai ⋅ Sheng Cao ⋅ Yuandong Tian ⋅ Raghuraman Krishnamoorthi ⋅ Yangyang Shi ⋅ Vikas Chandra

R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement Learning

Yongchao Chen ⋅ Yueying Liu ⋅ Junwei Zhou ⋅ Yilun Hao ⋅ Jingquan Wang ⋅ Yang Zhang ⋅ Na Li ⋅ Chuchu Fan

Gradient-Normalized Smoothness for Optimization with Approximate Hessians

Andrei Semenov ⋅ Martin Jaggi ⋅ Nikita Doikov

Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better

Ji Zhao ⋅ Shitong Shao ⋅ Yufei Gu ⋅ Xun Zhou ⋅ liang xiang ⋅ Zeke Xie

Rethinking Causal Mask Attention for Vision-Language Inference

Xiaohuan Pei ⋅ Tao Huang ⋅ Yanxiang Ma ⋅ Chang Xu

BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment

Dewei Zhou ⋅ Mingwei Li ⋅ Zongxin Yang ⋅ Yu Lu ⋅ Yunqiu Xu ⋅ Zhizhong Wang ⋅ Zeyi Huang ⋅ Yi Yang

Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models

Guanxu Chen ⋅ Yafu Li ⋅ Yuxian Jiang ⋅ Chen Qian ⋅ Qihan Ren ⋅ Jingyi Yang ⋅ Yu Cheng ⋅ Dongrui Liu ⋅ Jing Shao

Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning

Egor Cherepanov ⋅ Nikita Kachaev ⋅ Alexey Kovalev ⋅ Aleksandr Panov

RATE-DISTORTION OPTIMIZED PRAGMATIC COMMUNICATION FOR COLLABORATIVE PERCEPTION

Genjia Liu ⋅ Anning Hu ⋅ Yue Hu ⋅ Wenjun Zhang ⋅ Siheng Chen

TEMPFLOW-GRPO: WHEN TIMING MATTERS FOR GRPO IN FLOW MODELS

Xiaoxuan He ⋅ Siming Fu ⋅ Yuke Zhao ⋅ Wanli Li ⋅ Jian Yang ⋅ Dacheng Yin ⋅ Fengyun Rao ⋅ Bo Zhang

RAG4DMC: Retrieval-Augmented Generation for Data-Level Modality Completion

Ningxin He ⋅ Yongheng Deng ⋅ Sheng Yue ⋅ Yongjian Fu ⋅ Zhangzehui ⋅ Tiegang Gao

Diffusion Language Models are Provably Optimal Parallel Samplers

Haozhe Jiang ⋅ Nika Haghtalab ⋅ Lijie Chen

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Shansan Gong ⋅ Ruixiang Zhang ⋅ Huangjie Zheng ⋅ Jiatao Gu ⋅ Navdeep Jaitly ⋅ Lingpeng Kong ⋅ Yizhe Zhang

Pusa V1.0: Unlocking Temporal Control in Pretrained Video Diffusion Models via Vectorized Timestep Adaptation

Yaofang Liu ⋅ Yumeng REN ⋅ Aitor Artola ⋅ Yuxuan Hu ⋅ Xiaodong Cun ⋅ Xiaotong Zhao ⋅ Alan Zhao ⋅ Raymond Chan ⋅ Suiyun Zhang ⋅ Rui Liu ⋅ Dandan Tu ⋅ Jean-michel Morel

Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

Chengyue Wu ⋅ Hao Zhang ⋅ Shuchen Xue ⋅ Zhijian Liu ⋅ Shizhe Diao ⋅ Ligeng Zhu ⋅ Ping Luo ⋅ Song Han ⋅ Enze Xie

Deforming Videos to Masks: Flow Matching for Referring Video Segmentation

zanyi wang ⋅ Dengyang Jiang ⋅ Liuzhuozheng Li ⋅ Sizhe Dang ⋅ Chengzu Li ⋅ Harry Yang ⋅ Guang Dai ⋅ Mengmeng Wang ⋅ Jingdong Wang

Can LLMs Move Beyond Short Exchanges to Realistic Therapy Conversations?

Zhengqing Yuan ⋅ Liang Wu ⋅ Jian Xu ⋅ Zheyuan Zhang ⋅ Kaiwen Shi ⋅ Weixiang Sun ⋅ Lichao Sun ⋅ Yanfang Ye

On The Geometry and Topology of Representations: the Manifolds of Modular Addition

Gabriela Moisescu-Pareja ⋅ Gavin McCracken ⋅ Harley Wiltzer ⋅ Colin Daniels ⋅ Vincent Létourneau ⋅ Doina Precup ⋅ Jonathan Love

CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale

ZHUN WANG ⋅ Tianneng Shi ⋅ Jingxuan He ⋅ Matthew Cai ⋅ Jialin Zhang ⋅ Dawn Song

SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling

Andrei Rekesh ⋅ Miruna Cretu ⋅ Dmytro Shevchuk ⋅ Pietro Lio ⋅ Robert Batey ⋅ Mike Tyers ⋅ Michał Koziarski ⋅ Chenghao Liu

Disco: Densely-overlapping Cell Instance Segmentation via Adjacency-aware Collaborative Coloring

Rui Sun ⋅ Yiwen Yang ⋅ Kaiyu Guo ⋅ Chen Jiang ⋅ Dongli Xu ⋅ Zhaonan Liu ⋅ Tan Pan ⋅ LIMEI HAN ⋅ Xue Jiang ⋅ Wu Wei ⋅ Yuan Cheng

AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism

Ahan Gupta ⋅ Zhihao Wang ⋅ Neel Dani ⋅ Masahiro Tanaka ⋅ Olatunji Ruwase ⋅ Minjia Zhang

Square Peg, Round Hole: Plugging Non-Sequential Data into Sequential Language Models

Julia Balla ⋅ Hannah Lawrence

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Expo Talk Panel

Jump Trading: Domain-Adapted Agents for Quantitative Research at Scale

Lucas Baker ⋅ Loren Puchalla Fiore

12:00 PM - 1:00 PM

Jump Trading processes terabytes of market data daily, searching for predictive signals across thousands of instruments worldwide. Under tight latency constraints, our pipeline spans raw order book events, NLP signal integration, model training, and live execution. The nature of financial data, from irregularity and non-stationarity to microstructure noise, poses unique challenges and opens new directions in HPC, reinforcement learning, AI, and agent research. In this talk, we describe quantitative research workflows applying foundation models and multi-agent systems to market data. We present results from fine-tuning large language models on textual input to produce live trading signals, and from multi-agent systems that combine a broad range of unstructured sources into forecasts consumed by human traders and automated strategies alike. We also discuss hallucination risk management, strict point-in-time correctness, and the evaluation methodology we apply to ensure rigor and reliability in production.

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Expo Talk Panel

Apple: ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models

12:00 PM - 1:00 PM

Recurrent Neural Networks (RNNs) laid the foundation for sequence modeling, but their intrinsic sequential nature restricts parallel computation, creating a fundamental barrier to scaling. This has led to the dominance of parallelizable architectures like Transformers and, more recently, State Space Models (SSMs). While SSMs achieve efficient parallelization through structured linear recurrences, this linearity constraint limits their expressive power and precludes modeling complex, nonlinear sequence-wise dependencies. To address this, we present ParaRNN, a framework that breaks the sequence-parallelization barrier for nonlinear RNNs. Building on prior work, we cast the sequence of nonlinear recurrence relationships as a single system of equations, which we solve in parallel using Newton's iterations combined with custom parallel reductions. Our implementation achieves speedups of up to 665x over naive sequential application, allowing training nonlinear RNNs at unprecedented scales. To showcase this, we apply ParaRNN to adaptations of LSTM and GRU architectures, successfully training models of 7B parameters that attain perplexity comparable to similarly-sized Transformers and Mamba2 architectures. To accelerate research in efficient sequence modeling, we release the ParaRNN codebase as an open-source framework for automatic training-parallelization of nonlinear RNNs, enabling researchers and practitioners to explore new nonlinear RNN models at scale.

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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

Reliability in NL-to-SQL Systems

Divyalakshmi Giritharan

12:00 PM - 1:30 PM

Large language models are increasingly used to translate natural language into SQL. But how reliable are they in real-world settings? In this session, We present a focused evaluation framework for measuring NL-to-SQL performance, including execution correctness, robustness, and query efficiency under varying levels of database context. We’ll discuss how structured QA and validation approaches can help move LLM systems from benchmark success to production reliability. We invite researchers and practitioners working on NL-to-SQL systems, LLM evaluation, and database applications to participate in the discussion and share perspectives from real-world deployments.

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Social

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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Expo Talk Panel

Prolific: Your Models Are Outgrowing Your Evaluations: Lessons from Building Evaluation Infrastructure for Frontier AI

12:45 PM - 1:45 PM

The capabilities of frontier AI systems are advancing faster than the methods used to evaluate them. Benchmark saturation, unrepresentative preference data, and safety evaluations that fail to reflect real deployment conditions have created a widening gap between measured performance and real-world impact. Closing this gap requires treating evaluation not as an afterthought to model development, but as a first-class infrastructure problem. One that demands scientific rigor in data collection design, representative and verified human populations, and evaluation paradigms that go beyond static benchmarks. In this talk, we present Prolific's approach to building evaluation methodology and infrastructure for frontier AI. Prolific supports over 200,000 verified participants across 45 countries and has underpinned the data and methodology of more than 30,000 publications. We describe how we build on this foundation to develop evaluations that serve the needs of leading AI labs and research institutions: from demographically stratified preference studies and adversarial red-teaming to domain expert evaluation and alignment data collection. We share what we have learned from designing evaluations that capture realistic scenarios and surface failures that matter. We ground this in two case studies from our own research presented at ICLR 2026. “Unpacking Human Preference for LLMs: Demographically Aware Evaluation with the HUMAINE Framework” reveals how aggregate leaderboards conceal systematic preference disagreement across populations and how evaluation dimensions like trust and safety demand different methodological approaches than standard open-ended comparison. The “Missing Red Line: How Commercial Pressure Erodes AI Safety Boundaries” is an adversarial audit showing that even mild commercial objectives embedded in system prompts can override model safety training, even in scenarios with life-threatening consequences.

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Expo Talk Panel

Shopify: SimGym: Traffic-Calibrated AI Shoppers for Offline A/B Testing at Shopify

Alberto Castelo Becerra ⋅ Yuanzheng Zhu

12:45 PM - 1:45 PM

A/B testing is the gold standard for evaluating e-commerce UI changes, yet it is expensive or infeasible for many merchants. At Shopify we have built SimGym, a scalable system for rapid offline A/B testing using merchant-specific AI shoppers that operate the browser as a human would. SimGym leverages per-merchant storefront logs from real shoppers to build the AI shoppers and runs these on both control and treatment storefronts to decide which alternative is better. We validate SimGym against real Add-to-Cart lift from historical UI changes on Shopify shops. Even without alignment post training, SimGym accurately predicts the direction and relative magnitude of the treatment effect, reducing experiment iteration time from weeks to under an hour and enabling rapid screening without exposing real buyers.

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Town Hall

1:00 PM - 1:45 PM

An open discussion led by the organizing committee on topics related to ICLR, such as the review process, policy, and venue.

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Invited Talk

Artificial Intelligence for Open Science

Pablo Arbelaez

1:45 PM - 2:45 PM

I will present our latest research on Artificial Intelligence for Open Science at the Center for AI at the Universidad de los Andes, Colombia (CinfonIA). We will focus on our ongoing collaborative projects in scientific disciplines such as robotic surgery, spatial transcriptomics, drug discovery, geology, and nature conservation.

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Speaker Bio

Pablo Arbeláez obtained his Ph.D. in Applied Mathematics with honors from Paris-Dauphine University in 2005. From 2007 to 2014, he served as a senior research scientist with the Computer Vision Group at the University of California, Berkeley. In 2014, Pablo Arbeláez joined the faculty of the Department of Biomedical Engineering at Universidad de los Andes. Since 2020, he has been the director of the Center for Research and Formation in Artificial Intelligence (CinfonIA) at Universidad de los Andes, the first AI-focused academic center in Latin America, underscoring his commitment to transformative AI solutions and to empowering Latin American talent in the global AI community. He has made significant contributions to fundamental problems in Computer Vision, and his main research focus is on applications of Artificial Intelligence for Social Good.

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Oral

Oral Session 6A Reinforcement learning III

3:15 PM - 4:45 PM

6 Events in this session

TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning

Marco Bagatella ⋅ Matteo Pirotta ⋅ Ahmed Touati ⋅ Alessandro Lazaric ⋅ Andrea Tirinzoni

Online Learning and Equilibrium Computation with Ranking Feedback

Mingyang Liu ⋅ Yongshan Chen ⋅ Zhiyuan Fan ⋅ Gabriele Farina ⋅ Asuman Ozdaglar ⋅ Kaiqing Zhang

Non-Asymptotic Analysis of (Sticky) Track-and-Stop

Riccardo Poiani ⋅ Martino Bernasconi ⋅ Andrea Celli

Conformal Robustness Control: A New Strategy for Robust Decision

Yang Hu ⋅ Jieren Tan ⋅ Changliang Zou ⋅ Yajie Bao ⋅ Haojie Ren

Optimistic Task Inference for Behavior Foundation Models

Thomas Rupf ⋅ Marco Bagatella ⋅ Marin Vlastelica ⋅ Andreas Krause

Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search

Zhiyu Mou ⋅ Yiqin Lv ⋅ Miao Xu ⋅ Qi Wang ⋅ Yixiu Mao ⋅ Jinghao Chen ⋅ Qichen Ye ⋅ Chao Li ⋅ Rongquan Bai ⋅ Chuan Yu ⋅ Jian Xu ⋅ Bo Zheng

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Oral

Oral Session 6B Generative models II

3:15 PM - 4:45 PM

6 Events in this session

SAFETY-GUIDED FLOW (SGF): A UNIFIED FRAMEWORK FOR NEGATIVE GUIDANCE IN SAFE GENERATION

Mingyu Kim ⋅ Young-Heon Kim ⋅ Mijung Park

The Spacetime of Diffusion Models: An Information Geometry Perspective

Rafał Karczewski ⋅ Markus Heinonen ⋅ Alison Pouplin ⋅ Søren Hauberg ⋅ Vikas Garg

PateGAIL++: Utility Optimized Private Trajectory Generation with Imitation Learning

Yingjie Ma ⋅ Bijal Bharadva ⋅ Xin Zhang ⋅ Joann Qiongna Chen

Structured Flow Autoencoders: Learning Structured Probabilistic Representations with Flow Matching

Yidan Xu ⋅ Yixin Wang ⋅ XuanLong Nguyen

Spherical Watermark: Encryption-Free, Lossless Watermarking for Diffusion Models

Xiaoxiao Hu ⋅ Jiaqi Jin ⋅ Sheng Li ⋅ Wanli Peng ⋅ Xinpeng Zhang ⋅ Zhenxing Qian

Latent Fourier Transform

Mason Wang ⋅ Anna Huang

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Oral

Oral Session 6C Optimization and control

3:15 PM - 4:45 PM

7 Events in this session

Task-free Adaptive Meta Black-box Optimization

Chao Wang ⋅ Licheng Jiao ⋅ Lingling Li ⋅ Jiaxuan Zhao ⋅ Guanchun Wang ⋅ Fang Liu ⋅ Shuyuan Yang

Differentiable Model Predictive Control on the GPU

Emre Adabag ⋅ Marcus Greiff ⋅ John Subosits ⋅ Thomas Lew

Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms?

Zijian Zhao ⋅ Sen Li

Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers

Panagiotis D. Grontas ⋅ Antonio Terpin ⋅ Efe Balta ⋅ Raffaello D'Andrea ⋅ John Lygeros

Learning to Segment for Vehicle Routing Problems

Wenbin Ouyang ⋅ Sirui Li ⋅ Yining Ma ⋅ Cathy Wu

Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces

Bryon Tjanaka ⋅ Henry Chen ⋅ Matthew Fontaine ⋅ Stefanos Nikolaidis

AutoEP: LLMs-Driven Automation of Hyperparameter Evolution for Metaheuristic Algorithms

Zhenxing Xu ⋅ Yizhe Zhang ⋅ Weidong Bao ⋅ Hao Wang ⋅ Ming Chen ⋅ Haoran Ye ⋅ Wenzheng Jiang ⋅ Hui Yan ⋅ Ji Wang

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Oral

Oral Session 6D LLMs

3:15 PM - 4:45 PM

4 Events in this session

Train-before-Test Harmonizes Language Model Rankings

Guanhua Zhang ⋅ Ricardo Dominguez-Olmedo ⋅ Moritz Hardt

LLM DNA: Tracing Model Evolution via Functional Representations

Zhaomin Wu ⋅ Haodong Zhao ⋅ Ziyang Wang ⋅ Jizhou Guo ⋅ Qian Wang ⋅ Bingsheng He

Hubble: a Model Suite to Advance the Study of LLM Memorization

Johnny Wei ⋅ Ameya Godbole ⋅ Mohammad Aflah Khan ⋅ Ryan Wang ⋅ Xiaoyuan Zhu ⋅ James Flemings ⋅ Nitya Kashyap ⋅ Krishna Gummadi ⋅ Willie Neiswanger ⋅ Robin Jia

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource

Houyi Li ⋅ Ka Man Lo ⋅ Shijie Xuyang ⋅ Ziqi Wang ⋅ Wenzhen Zheng ⋅ Haocheng Zhang ⋅ Zhao Li ⋅ Shuigeng Zhou ⋅ Xiangyu Zhang ⋅ Daxin Jiang

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Oral

Oral Session 6E Agents and evaluation

3:15 PM - 4:45 PM

6 Events in this session

Reliable Weak-to-Strong Monitoring of LLM Agents

Neil Kale ⋅ Chen Bo Calvin Zhang ⋅ Kevin Zhu ⋅ Ankit Aich ⋅ Paula Rodriguez ⋅ Christina Knight ⋅ Zifan Wang

CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale

ZHUN WANG ⋅ Tianneng Shi ⋅ Jingxuan He ⋅ Matthew Cai ⋅ Jialin Zhang ⋅ Dawn Song

OpenApps: Simulating Environment Variations to Measure UI Agent Reliability

Karen Ullrich ⋅ Jingtong Su ⋅ Claudia Shi ⋅ Arjun Subramonian ⋅ Amir Bar ⋅ Ivan Evtimov ⋅ Nikolaos Tsilivis ⋅ Randall Balestriero ⋅ Julia Kempe ⋅ Mark Ibrahim

RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments

Zeyi Liao ⋅ Jaylen Jones ⋅ Linxi Jiang ⋅ Yuting Ning ⋅ Eric Fosler-Lussier ⋅ Yu Su ⋅ ZHIQIANG LIN ⋅ Huan Sun

CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question Answering

Yahan Li ⋅ Jifan Yao ⋅ John Bunyi ⋅ Adam Frank ⋅ Angel Hwang ⋅ Ruishan Liu

WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality

Chunyang Li ⋅ Yilun Zheng ⋅ Xinting Huang ⋅ Tianqing Fang ⋅ Jiahao Xu ⋅ Lihui Chen ⋅ Yangqiu Song ⋅ Winston Hu

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Oral

Oral Session 6F AI for science III

3:15 PM - 4:45 PM

6 Events in this session

RealPDEBench: A Benchmark for Complex Physical Systems with Real-World Data

Quotient-Space Diffusion Models

Yixian Xu ⋅ Yusong Wang ⋅ Shengjie Luo ⋅ Kaiyuan Gao ⋅ Tianyu He ⋅ Di He ⋅ Chang Liu

DCFold: Efficient Protein Structure Generation with Single Forward Pass

Zhe Zhang ⋅ Yuanning Feng ⋅ Yuxuan Song ⋅ Keyue Qiu ⋅ Hao Zhou ⋅ Wei-Ying Ma

Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute

FALCON: Few-step Accurate Likelihoods for Continuous Flows

Danyal Rehman ⋅ Tara Akhound-Sadegh ⋅ Artem Gazizov ⋅ Yoshua Bengio ⋅ Alexander Tong

Fast training of accurate physics-informed neural networks without gradient descent

Chinmay Datar ⋅ Taniya Kapoor ⋅ Abhishek Chandra ⋅ Qing Sun ⋅ Erik L. Bolager ⋅ Iryna Burak ⋅ Anna Veselovska ⋅ Massimo Fornasier ⋅ Felix Dietrich

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Poster

Poster Session 6 Pavilion 3

3:15 PM - 5:45 PM

453 Events in this session

Topological Causal Effects

Kwangho Kim ⋅ Hajin Lee

Foundation Models for Causal Inference via Prior-Data Fitted Networks

Yuchen Ma ⋅ Dennis Frauen ⋅ Emil Javurek ⋅ Stefan Feuerriegel

Efficient Ensemble Conditional Independence Test Framework for Causal Discovery

Zhengkang Guan ⋅ Kun Kuang

Executable Counterfactuals: Improving LLMs' Causal Reasoning Through Code

Aniket Vashishtha ⋅ Qirun Dai ⋅ Hongyuan Mei ⋅ Amit Sharma ⋅ Chenhao Tan ⋅ Hao Peng

Modeling Interference for Treatment Effect Estimation in Network Dynamic Environment

Qiang Huang ⋅ Jin Tian

Generalization of RLVR Using Causal Reasoning as a Testbed

Zhichu Lu ⋅ Hongyu Zhao ⋅ Shuo Sun ⋅ Hao Peng ⋅ Rui Ding ⋅ Hongyuan Mei

Identifiability Challenges in Sparse Linear Ordinary Differential Equations

Cecilia Casolo ⋅ Sören Becker ⋅ Niki Kilbertus

Causal Discovery via Quantile Partial Effect

Yikang Chen ⋅ Xingzhe Sun ⋅ Dehui du

I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?

Yuhang Liu ⋅ Dong Gong ⋅ Yichao Cai ⋅ Erdun Gao ⋅ Zhen Zhang ⋅ Biwei Huang ⋅ Mingming Gong ⋅ Anton Hengel ⋅ Javen Qinfeng Shi

The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?

Alexander Hägele ⋅ Aryo Pradipta Gema ⋅ Henry Sleight ⋅ Ethan Perez ⋅ Jascha Sohl-Dickstein

Jacobian Aligned Random Forests

Sarwesh Rauniyar

Explainable $ K $-means Neural Networks for Multi-view Clustering

Yalan Qin ⋅ Xinpeng Zhang ⋅ Guorui Feng

KLAS: Using Similarity to Stitch Neural Networks for Improved Accuracy-Efficiency Tradeoffs

Debopam Sanyal ⋅ Anantharaman Iyer ⋅ Alind Khare ⋅ Trisha Jain ⋅ Akshay Jajoo ⋅ Myungjin Lee ⋅ James Kerce ⋅ Alexey Tumanov

SeeDNorm: Self-Rescaled Dynamic Normalization

Wenrui Cai ⋅ Defa Zhu ⋅ Siyuan Qiao ⋅ Qingjie Liu ⋅ Qiyang Min

Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning

Yuhang Liu ⋅ Zhen Zhang ⋅ Dong Gong ⋅ Erdun Gao ⋅ Biwei Huang ⋅ Mingming Gong ⋅ Anton Hengel ⋅ Kun Zhang ⋅ Javen Qinfeng Shi

Aligning Collaborative View Recovery and Tensorial Subspace Learning via Latent Representation for Incomplete Multi-View Clustering

Youqing Wang ⋅ Yu Cao ⋅ Jinlu Wang ⋅ Xiang Xu ⋅ Jiapu Wang ⋅ Tengfei Liu ⋅ Junbin Gao ⋅ Jipeng Guo

MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval

Siyue Zhang ⋅ Yuan Gao ⋅ Xiao Zhou ⋅ Yilun Zhao ⋅ Tingyu Song ⋅ Arman Cohan ⋅ Anh Tuan Luu ⋅ Chen Zhao

NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization

Xiyuan Wei ⋅ Chih-Jen Lin ⋅ Tianbao Yang

NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward Networks

Nandan Kumar Jha ⋅ Brandon Reagen

Compositional Generalization through Gradient Search in Nonparametric Latent Space

Haruki Shirakami ⋅ James Henderson

DTO-KD: Dynamic Trade-off Optimization for Effective Knowledge Distillation

Zeeshan Hayder ⋅ Ali Cheraghian ⋅ Lars Petersson ⋅ Mehrtash Harandi ⋅ Richard Hartley

Stochastic Optimal Control for Continuous-Time fMRI Representation Learning

Joonhyeong Park ⋅ Byoungwoo Park ⋅ Chang-Bae Bang ⋅ Jungwon Choi ⋅ Hyungjin Chung ⋅ Byung-Hoon Kim ⋅ Juho Lee

DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick

Mohammad Vali ⋅ Tom Bäckström ⋅ Arno Solin

Improving Set Function Approximation with Quasi-Arithmetic Neural Networks

Tomas Tokar ⋅ Scott Sanner

MoRA: Mobility as the Backbone for Geospatial Representation Learning at Scale

Ya Wen ⋅ Jixuan Cai ⋅ Qiyao Ma ⋅ Linyan Li ⋅ Xinhuan Chen ⋅ Chris Webster ⋅ Yulun Zhou

OrthoRF: Exploring Orthogonality in Object-Centric Representations

Despoina Touska ⋅ Bastiaan Auer ⋅ Alexandru Onose ⋅ Tejaswi Kasarla ⋅ Luis Armando Pérez Rey ⋅ Maximilian Lipp ⋅ Lyubov Amitonova ⋅ Martin R. Oswald ⋅ Pascal Cerfontaine

DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity

Haowei Zhu ⋅ Ji Liu ⋅ Ziqiong Liu ⋅ Dong Li ⋅ Jun-Hai Yong ⋅ Bin Wang ⋅ Emad Barsoum

RAEE: A Robust Retrieval-Augmented Early Exit Framework for Efficient Inference

LIANMING HUANG ⋅ Shangyu Wu ⋅ Yufei CUI ⋅ Ying Xiong ⋅ Haibo Hu ⋅ Xue Liu ⋅ Tei-Wei Kuo ⋅ Nan Guan ⋅ Chun Jason Xue

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds

Wei Wu ⋅ Xiaomeng Fan ⋅ Yuwei Wu ⋅ Zhi Gao ⋅ Pengxiang Li ⋅ Yunde Jia ⋅ Mehrtash Harandi

Let OOD Feature Exploring Vast Predefined Classifiers

Kewen Xia ⋅ Xiaodong Yue ⋅ WeiZhipeng ⋅ Yaxin Peng ⋅ Zihao Li ⋅ Jianxiang Zhu ⋅ Jie Shi ⋅ PeilinXu

Disentanglement of Variations with Multimodal Generative Modeling

Yijie Zhang ⋅ Yiyang Shen ⋅ Weiran Wang

TIGaussian: Disentangle Gaussians for Spatial-Awared Text-Image-3D Alignment

Jiarun Liu ⋅ Qifeng Chen ⋅ Yiru Zhao ⋅ Minghua Liu ⋅ Baorui Ma ⋅ Sheng Yang

Beyond Static Vision: Scene Dynamic Field Unlocks Intuitive Physics Understanding in Multi-modal Large Language Models

Nanxi Li ⋅ Xiang Wang ⋅ Yuanjie Chen ⋅ Haode Zhang ⋅ HONG LI ⋅ Yong-Lu Li

One-Shot Exemplars for Class Grounding in Self-Supervised Learning

Haowen Cui ⋅ Shuo Chen ⋅ Jun Li ⋅ Jian Yang

ShieldedCode: Learning Robust Representations for Virtual Machine Protected Code

Mingqiao Mo ⋅ Yunlong Tan ⋅ Hao Zhang ⋅ Heng Zhang ⋅ Yangfan He

Optimizer Choice Matters For The Emergence of Neural Collapse

Jim Zhao ⋅ Tin Sum Cheng ⋅ Wojciech Masarczyk ⋅ Aurelien Lucchi

Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective

Yi-Ge Zhang ⋅ Jingyi Cui ⋅ Qiran Li ⋅ Yisen Wang

NeMo-map: Neural Implicit Flow Fields for Spatio-Temporal Motion Mapping

Yufei Zhu ⋅ Shih-Min Yang ⋅ Andrey Rudenko ⋅ Tomasz Kucner ⋅ Achim Lilienthal ⋅ Martin Magnusson

Rethinking JEPA: Compute‑Efficient Video Self-Supervised Learning with Frozen Teachers

Xianhang Li ⋅ Chen Huang ⋅ Chun-Liang Li ⋅ Eran Malach ⋅ Joshua Susskind ⋅ Vimal Thilak ⋅ Etai Littwin

Adversarial Encoding Perturbation and Synthesis for Set Representation Auxiliary Learning

Yankai Chen ⋅ Xinni Zhang ⋅ Henry Peng Zou ⋅ Bowei He ⋅ Yangning Li ⋅ Philip Yu ⋅ Irwin King ⋅ Xue Liu

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization

Siqi Wang ⋅ Aoming Liu ⋅ Bryan Plummer

Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation

Yilang Zhang ⋅ Abraham Jaeger Mountain ⋅ Bingcong Li ⋅ Georgios B Giannakis

Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability

Tao Tao ⋅ Maissam Barkeshli

Constraint-guided Hardware-aware NAS through Gradient Modification

Gregory De Ruyter ⋅ Mathias Verbeke ⋅ Hans Hallez

PCLR: Progressively Compressed LoRA for Multimodal Continual Instruction Tuning

weicheng meng ⋅ Jingyang Qiao ⋅ Zhizhong Zhang ⋅ Shaohui Liu ⋅ Yuan Xie

Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition

Qinyuan Ye ⋅ Robin Jia ⋅ Xiang Ren

Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts

Minh Le ⋅ Anh Nguyen ⋅ Huy Nguyen ⋅ Chau Nguyen ⋅ Anh T Tran ⋅ Nhat Ho

FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability–Plasticity Tradeoff

Isaac Han ⋅ Sangyeon Park ⋅ Seungwon Oh ⋅ Donghu Kim ⋅ Hojoon Lee ⋅ KyungJoong Kim

MergOPT: A Merge-Aware Optimizer for Robust Model Merging

Enneng Yang ⋅ Qun Yang ⋅ Peng Wang ⋅ Anke Tang ⋅ Guibing Guo ⋅ Xiaochun Cao ⋅ Li Shen

FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning

Hongwei Yan ⋅ Guanglong Sun ⋅ Kanglei Zhou ⋅ Qian Li ⋅ Liyuan Wang ⋅ Yi Zhong

An evolutionary perspective on modes of learning in Transformers

Alexander Ku ⋅ Thomas L. Griffiths ⋅ Stephanie Chan

Retain and Adapt: Auto-Balanced Model Editing for Open-Vocabulary Object Detection under Domain Shifts

Zixuan Duan ⋅ Fengyuan Lu ⋅ Xunzhi Xiang ⋅ Wenbin Li ⋅ Yang Gao ⋅ Qi Fan

Plug-and-Play Compositionality for Boosting Continual Learning with Foundation Models

Weiduo Liao ⋅ Fei Han ⋅ Hisao Ishibuchi ⋅ Qingfu Zhang ⋅ Ying Wei

Context and Diversity Matter: The Emergence of In-Context Learning in World Models

Fan Wang ⋅ ZHIYUAN CHEN ⋅ YUXUAN ZHONG ⋅ Sunjian Zheng ⋅ Pengtao Shao ⋅ Bo Yu ⋅ Shaoshan Liu ⋅ Jianan Wang ⋅ Ning Ding ⋅ Yang Cao ⋅ Yu Kang

CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition

Bruno Viti ⋅ Elias Karabelas ⋅ Martin Holler

How to Square Tensor Networks and Circuits Without Squaring Them

Lorenzo Loconte ⋅ Adrián Javaloy ⋅ Antonio Vergari

Multifidelity Simulation-based Inference for Computationally Expensive Simulators

Anastasia Nastya Krouglova ⋅ Hayden Johnson ⋅ Basile Confavreux ⋅ Michael Deistler ⋅ Pedro J Goncalves

Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in LLMs

Soyeon Kim ⋅ Jindong Wang ⋅ Xing Xie ⋅ Steven Whang

Don’t Pass@k: A Bayesian Framework for Large Language Model Evaluation

Mohsen Hariri ⋅ Amirhossein Samandar ⋅ Michael Hinczewski ⋅ Vipin Chaudhary

$p\textrm{-less}$ Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding

Runyan Tan ⋅ Shuang Wu ⋅ Phillip Howard

TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation

Seong Jin Cho ⋅ Gwangsu Kim ⋅ Junghyun Lee ⋅ Hee Suk Yoon ⋅ Joshua Tian Jin Tee ⋅ Chang Yoo

BeyondBench: Contamination-Resistant Evaluation of Reasoning in Language Models

Gaurav Srivastava ⋅ Aafiya Hussain ⋅ Zhenyu Bi ⋅ Swastik Roy ⋅ Priya Pitre ⋅ Meng Lu ⋅ Morteza Ziyadi ⋅ Xuan Wang

Graph-based Nearest Neighbors with Dynamic Updates via Random Walks

Nina Mishra ⋅ Yonatan Naamad ⋅ Tal Wagner ⋅ Lichen Zhang

Multiple-Prediction-Powered Inference

Charlie Cowen-Breen ⋅ Alekh Agarwal ⋅ Stephen Bates ⋅ William W. Cohen ⋅ Jacob Eisenstein ⋅ Amir Globerson ⋅ Adam Fisch

Addressing divergent representations from causal interventions on neural networks

Satchel Grant ⋅ Simon Jerome Han ⋅ Alexa Tartaglini ⋅ Christopher Potts

Ambig-SWE: Interactive Agents to Overcome Underspecificity in Software Engineering

Sanidhya Vijayvargiya ⋅ Xuhui Zhou ⋅ Akhila Yerukola ⋅ Maarten Sap ⋅ Graham Neubig

Epistemic Uncertainty Quantification To Improve Decisions From Black-Box Models

Sébastien Melo ⋅ Gael Varoquaux ⋅ Marine Le Morvan

A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components

Michael Ibrahim ⋅ Nagi Gebraeel ⋅ Weijun Xie

Towards Self-Evolving Agent Benchmarks : Validatable Agent Trajectory via Test-Time Exploration

Dadi Guo ⋅ Tianyi Zhou ⋅ Dongrui Liu ⋅ Chen Qian ⋅ Qihan Ren ⋅ Shuai Shao ⋅ Zhiyuan Fan ⋅ Yi R. Fung ⋅ Kun Wang ⋅ Linfeng Zhang ⋅ Jing Shao

AQER: A Scalable and Efficient Data Loader for Digital Quantum Computers

Kaining Zhang ⋅ Xinbiao Wang ⋅ Yuxuan Du ⋅ Min-Hsiu Hsieh ⋅ Dacheng Tao

Neural Collapse in Multi-Task Learning

Youjun Wang ⋅ Boqi Li ⋅ Xin Zou ⋅ Weiwei Liu

Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling

Junyi Yao ⋅ Parham Eftekhar ⋅ Gene Cheung ⋅ Xujin Liu ⋅ Yao Wang ⋅ Wei Hu

RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States

Xiangjie Xiao ⋅ Cong Zhang ⋅ Wen Song ⋅ Zhiguang Cao

Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers

Xuanhao Pan ⋅ Chenguang Wang ⋅ Chaolong Ying ⋅ Ye XUE ⋅ Tianshu Yu

ViTSP: A Vision Language Models Guided Framework for Solving Large-Scale Traveling Salesman Problems

Zhuoli Yin ⋅ Yi Ding ⋅ Reem Khir ⋅ Hua Cai

Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming

jiajun li ⋅ Yixuan Li ⋅ Ran Hou ⋅ Yu Ding ⋅ Shisi Guan ⋅ Jiahui Duan ⋅ Xiongwei Han ⋅ Tao Zhong ⋅ Vincent Chau ⋅ Weiwei Wu ⋅ Zhiyuan Liu ⋅ Wanyuan Wang

Improving Online-to-Nonconvex Conversion for Smooth Optimization via Double Optimism

Francisco Patitucci ⋅ Ruichen Jiang ⋅ Aryan Mokhtari

Strongly Convex Sets in Riemannian Manifolds

Damien Scieur ⋅ David Martinez-Rubio ⋅ thomas Kerdreux ⋅ Alexandre d'Aspremont ⋅ Sebastian Pokutta

ATLAS: Alibaba Dataset and Benchmark for Learning-Augmented Scheduling

Zhiyun Jiang ⋅ Tianming Zhao ⋅ Chunqiu xia ⋅ Albert Zomaya

From Predictors to Samplers via the Training Trajectory

Soumya Ram ⋅ Akhila Ram

Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo

Advait Parulekar ⋅ Litu Rout ⋅ Karthikeyan Shanmugam ⋅ Sanjay Shakkottai

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization

Manish Acharya ⋅ David Hyde

Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models

Giang Ngo ⋅ Dat Phan Trong ⋅ Dang Nguyen ⋅ Sunil Gupta ⋅ Svetha Venkatesh

Trinity: An Evolved LLM Coordinator

Jinglue Xu ⋅ Qi Sun ⋅ Peter Schwendeman ⋅ Stefan Nielsen ⋅ Edoardo Cetin ⋅ Yujin Tang

DR-Submodular Maximization with Stochastic Biased Gradients: Classical and Quantum Gradient Algorithms

Shengminjie Chen ⋅ Xiaoming Sun ⋅ Wenguo Yang ⋅ Jialin Zhang ⋅ Zihan Zhao

FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation

Muqing Liu ⋅ Chongjie Si ⋅ Yuheng Jia

Unlocking Full Efficiency of Token Filtering in Large Language Model Training

Di Chai ⋅ LI Pengbo ⋅ Feiyuan Zhang ⋅ Yilun Jin ⋅ Han Tian ⋅ Kaiqiang Xu ⋅ Binhang Yuan ⋅ Dian Shen ⋅ Junxue Zhang ⋅ Kai Chen

From Sequential to Parallel: Reformulating Dynamic Programming as GPU Kernels for Large-Scale Stochastic Combinatorial Optimization

Jingyi Zhao ⋅ Linxin Yang ⋅ Haohua Zhang ⋅ Qile He ⋅ Tian Ding

LEGACY: A Lightweight Dynamic Gradient Compression Strategy for Distributed Deep Learning

Mostapha Essoullami ⋅ El Houcine Bergou ⋅ Aritra Dutta

FedMuon: Federated Learning with Bias-corrected LMO-based Optimization

Yuki Takezawa ⋅ Anastasia Koloskova ⋅ Xiaowen Jiang ⋅ Sebastian Stich

A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration

Rohit Jena ⋅ Vedant Zope ⋅ Pratik A Chaudhari ⋅ James Gee

DES-LOC: Desynced Low Communication Adaptive Optimizers for Foundation Models

Alex Iacob ⋅ Lorenzo Sani ⋅ Mher Safaryan ⋅ Paris Giampouras ⋅ Samuel Horváth ⋅ Andrej Jovanovic ⋅ Meghdad Kurmanji ⋅ Preslav Aleksandrov ⋅ William Shen ⋅ Xinchi Qiu ⋅ Nic Lane

MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates

Alex Iacob ⋅ Andrej Jovanovic ⋅ Mher Safaryan ⋅ Meghdad Kurmanji ⋅ Lorenzo Sani ⋅ Samuel Horváth ⋅ William Shen ⋅ Xinchi Qiu ⋅ Nic Lane

Exploring Diverse Generation Paths via Inference-time Stiefel Activation Steering

Dongxuan Zhu ⋅ Ly Khanh ⋅ Andy Yat-Ming Cheung ⋅ Man-Chung Yue ⋅ Viet Anh Nguyen

Understanding and improving Shampoo and SOAP via Kullback-Leibler Minimization

Wu Lin ⋅ Scott C. Lowe ⋅ Felix Dangel ⋅ Runa Eschenhagen ⋅ Zikun Xu ⋅ Roger Grosse

Semi-Supervised Preference Optimization with Limited Feedback

Seonggyun Lee ⋅ Sungjun Lim ⋅ Seojin Park ⋅ Soeun Cheon ⋅ Kyungwoo Song

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval

Haike Xu ⋅ Tong Chen

On the Convergence Direction of Gradient Descent

Shuo Chen ⋅ Xiaolong Li ⋅ Jiaying Peng ⋅ Yao Zhao

ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning

Jinyang Zhang ⋅ Yue Fang ⋅ Hongxin Ding ⋅ Weibin Liao ⋅ Muyang Ye ⋅ Junfeng Zhao ⋅ Yasha Wang ⋅ Xu Chu

FutureFill: Fast Generation from Convolutional Sequence Models

Naman Agarwal ⋅ Xinyi Chen ⋅ Evan Dogariu ⋅ Devan Shah ⋅ Hubert Strauss ⋅ Vladimir Feinberg ⋅ Daniel Suo ⋅ Peter Bartlett ⋅ Elad Hazan

Displacement-Resistant Extensions of DPO with Nonconvex $f$-Divergences

Idan Pipano ⋅ Shoham Sabach ⋅ Kavosh Asadi ⋅ Mohammad Ghavamzadeh

R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?

Yi Lu ⋅ Jianing Wang ⋅ Linsen Guo ⋅ Wei He ⋅ Hongyin Tang ⋅ Tao Gui ⋅ Xuanjing Huang ⋅ Xuezhi Cao ⋅ Wei Wang ⋅ Xunliang Cai

Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees

Zhuoping Zhou ⋅ Davoud Ataee Tarzanagh ⋅ Sima Didari ⋅ Wenjun Hu ⋅ Baruch Gutow ⋅ Oxana Verkholyak ⋅ Masoud Faraki ⋅ Heng Hao ⋅ Hankyu Moon ⋅ Seungjai Min

Incentivizing LLM Reasoning via Reinforcement Learning with Functional Monte Carlo Tree Search

Kongcheng Zhang ⋅ QI YAO ⋅ Baisheng Lai ⋅ Jiaxing Huang ⋅ Wenkai Fang ⋅ Dacheng Tao ⋅ Mingli Song ⋅ Shunyu Liu

WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference

Sihan Chen ⋅ Dan Zhao ⋅ Jongwoo Ko ⋅ Colby Banbury ⋅ Huiping Zhuang ⋅ Luming Liang ⋅ Pashmina Cameron ⋅ Tianyi Chen

ChainGPT: Dual-Reasoning Model with Recurrent Depth and Multi-Rank State Updates

Yunao Zheng ⋅ Xiaojie Wang ⋅ Lei Ren ⋅ Chen Wei

BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training

Luca Colombo ⋅ Fabrizio Pittorino ⋅ Daniele Zambon ⋅ Carlo Baldassi ⋅ Manuel Roveri ⋅ Cesare Alippi

Global Resolution: Optimal Multi-Draft Speculative Sampling via Convex Optimization

Rahul Thomas ⋅ Arka Pal

SCAD: Super-Class-Aware Debiasing for Long-Tailed Semi-Supervised Learning

Sunguk Jang ⋅ Jinwoo Jeon ⋅ Byung-Jun Lee

d$^2$Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching

Yuchu Jiang ⋅ Yue Cai ⋅ Xiangzhong Luo ⋅ Jiale Fu ⋅ Jiarui Wang ⋅ CHONGHAN LIU ⋅ xu yang

Overcoming Joint Intractability with Lossless Hierarchical Speculative Decoding

Yuxuan Zhou ⋅ Fei Huang ⋅ Heng Li ⋅ Fengyi Wu ⋅ Tianyu Wang ⋅ jianwei zhang ⋅ Junyang Lin ⋅ Zhi-Qi Cheng

Metis: Training LLMs with FP4 Quantization

Hengjie Cao ⋅ Mengyi Chen ⋅ Yifeng Yang ⋅ Fang Dong ⋅ Ruijun Huang ⋅ Jixian Zhou ⋅ Anrui Chen ⋅ Mingzhi Dong ⋅ Yujiang Wang ⋅ Jinlong Hou ⋅ Yuan Cheng ⋅ FAN WU ⋅ Fan Yang ⋅ Tun Lu ⋅ Ning Gu ⋅ Li Shang

Hilbert: Recursively Building Formal Proofs with Informal Reasoning

Sumanth Varambally ⋅ Thomas Voice ⋅ Yanchao Sun ⋅ Zhifeng Chen ⋅ Rose Yu ⋅ Ke Ye

Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning

Ling Zhang ⋅ Xianliang Yang ⋅ Juwon Yu ⋅ Park Cheonyoung ⋅ Lei Song ⋅ Jiang Bian

Towards Quantization-Aware Training for Ultra-Low-Bit Reasoning LLMs

Yasuyuki Okoshi ⋅ Hikari Otsuka ⋅ Daichi Fujiki ⋅ Masato Motomura

Counterfactual Reasoning for Retrieval-Augmented Generation

Huaiyu Qin ⋅ Chunyu Wei ⋅ Yueguo Chen ⋅ Yunhai Wang

RouterArena: An Open Platform for Comprehensive Comparison of LLM Routers

Yifan (Louie) Lu ⋅ Rixin Liu ⋅ Jiayi Yuan ⋅ Xingqi Cui ⋅ Shenrun Zhang ⋅ Hongyi Liu ⋅ Jiarong Xing

LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning

Nurbek Tastan ⋅ Stefanos Laskaridis ⋅ Martin Takáč ⋅ Karthik Nandakumar ⋅ Samuel Horváth

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM

Haoyu Huang ⋅ Hong Ting Tsang ⋅ Jiaxin Bai ⋅ Xi Peng ⋅ Gong Zhang ⋅ Yangqiu Song

SLM-MUX: Orchestrating Small Language Models for Reasoning

Chenyu Wang ⋅ Zishen Wan ⋅ Hao Kang ⋅ Emma Chen ⋅ Zhiqiang Xie ⋅ Tushar Krishna ⋅ Vijay Janapa Reddi ⋅ Yilun Du

LeSTD: LLM Compression via Learning-based Sparse Tensor Decomposition

Yi Li ⋅ Zhichun Guo ⋅ Miao Yin ⋅ Bingzhe Li

Channel-Aware Mixed-Precision Quantization for Efficient Long-Context Inference

Chengxi Liao ⋅ Zeyi Wen

Expert Heads: Robust Evidence Identification for Large Language Models

Qi Wu ⋅ Jianfeng Qu ⋅ Ximing Li ⋅ Zhixu Li

ProxyAttn: Guided Sparse Attention via Representative Heads

Yixuan Wang ⋅ Huang He ⋅ Siqi Bao ⋅ hua wu ⋅ Haifeng Wang ⋅ Qingfu Zhu ⋅ Wanxiang Che

RESA: Bringing Back What Sparse Attention Ignores with Residual Estimation

Weihao Yang ⋅ Hao Huang ⋅ Ningke Li ⋅ Shihao Wang ⋅ Darong Yang ⋅ Yanqi Pan ⋅ Wen Xia ⋅ Shiyi Li ⋅ Xiangyu Zou

Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match

Jinze Li ⋅ Yixing Xu ⋅ Guanchen Li ⋅ Shuo Yang ⋅ Jinfeng Xu ⋅ Xuanwu Yin ⋅ Dong Li ⋅ Edith Ngai ⋅ Emad Barsoum

LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding

Gang Lin ⋅ dongfang li ⋅ Zhuoen Chen ⋅ Yukun Shi ⋅ Xuhui Chen ⋅ Baotian Hu ⋅ Min Zhang

PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention

Haonan Wang ⋅ Brian Chen ⋅ Siquan Li ⋅ Liang Xinhe ⋅ Hwee Lee ⋅ Kenji Kawaguchi ⋅ Tianyang Hu

Attention Is All You Need for KV Cache in Diffusion LLMs

Quan Nguyen-Tri ⋅ Mukul Ranjan ⋅ Zhiqiang Shen

Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall

Mingyu Jo ⋅ Jaesik Yoon ⋅ Justin Deschenaux ⋅ Caglar Gulcehre ⋅ Sungjin Ahn

FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models

Amin Karimi Monsefi ⋅ Nikhil Bhendawade ⋅ Manuel Ciosici ⋅ Dominic Culver ⋅ Yizhe Zhang ⋅ Irina Belousova

Pareto Variational Autoencoder

Mincheol Cho ⋅ Yedarm Seong ⋅ Joong-Ho Won

Self-Speculative Masked Diffusions

Andrew Campbell ⋅ Valentin De Bortoli ⋅ Jiaxin Shi ⋅ Arnaud Doucet

Information Estimation with Discrete Diffusion

Alberto Foresti ⋅ Giulio Franzese ⋅ Pietro Michiardi

Planner Aware Path Learning in Diffusion Language Models Training

Zhangzhi Peng ⋅ Zachary Bezemek ⋅ Jarrid Rector-Brooks ⋅ Shuibai Zhang ⋅ Michael Bronstein ⋅ Anru Zhang ⋅ Joey Bose ⋅ Alexander Tong

Improving Autoregressive Video Modeling with History Understanding

Wenyang Luo ⋅ Haina Qin ⋅ Bing Li ⋅ Jiwen Lu ⋅ Xin Tao ⋅ Pengfei Wan ⋅ Kun Gai

ProtoKV: Long-context Knowledges Are Already Well-Organized Before Your Query

Zhiyuan Yu ⋅ Shijian Xiao ⋅ Zhangyue Yin ⋅ Xiaoran Liu ⋅ Lekai Xing ⋅ Wenzhong Li ⋅ Cam-Tu Nguyen ⋅ Sanglu Lu

Catalog-Native LLM: Speaking Item-ID dialect with Less Entanglement for Recommendation

Reza Shirkavand ⋅ Xiaokai Wei ⋅ Chen Wang ⋅ Zheng Hui ⋅ Heng Huang ⋅ Michelle Gong

Robust Multi-Objective Controlled Decoding of Large Language Models

Seongho Son ⋅ William Bankes ⋅ Sangwoong Yoon ⋅ Shyam Sundhar Ramesh ⋅ Xiaohang Tang ⋅ Ilija Bogunovic

Self-Speculative Decoding Accelerates Lossless Inference in Any-Order and Any-Subset Autoregressive Models

Gabe Guo ⋅ Stefano Ermon

Diffusion Language Model Knows the Answer Before It Decodes

Pengxiang Li ⋅ Yefan Zhou ⋅ Dilxat Muhtar ⋅ Lu Yin ⋅ Shilin Yan ⋅ Li Shen ⋅ Yi Liang ⋅ Soroush Vosoughi ⋅ Shiwei Liu

Discovering Novel LLM Experts via Task-Capability Coevolution

Andrew Dai ⋅ Boris Meinardus ⋅ Ciaran Regan ⋅ Yingtao Tian ⋅ Yujin Tang

Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs

BumJun Kim ⋅ Dongjae Jeon ⋅ Dueun Kim ⋅ Wonje Jeung ⋅ Albert No

One step further with Monte-Carlo sampler to guide diffusion better

Minsi Ren ⋅ Wenhao Deng ⋅ Ruiqi Feng ⋅ Tailin Wu

Shortcut Diffusion Training with Cumulative Consistency Loss: An Optimal Control View

Paribesh Regmi ⋅ Sandesh Ghimire ⋅ Rui Li

Diffusion Alignment as Variational Expectation-Maximization

Jaewoo Lee ⋅ Minsu Kim ⋅ Sanghyeok Choi ⋅ Inhyuck Song ⋅ Sujin Yun ⋅ Hyeongyu Kang ⋅ Woocheol Shin ⋅ Taeyoung Yun ⋅ Kiyoung Om ⋅ Jinkyoo Park

Navigating the Latent Space Dynamics of Neural Models

Marco Fumero ⋅ Luca Moschella ⋅ Emanuele Rodolà ⋅ Francesco Locatello

Training-Free Reward-Guided Image Editing via Trajectory Optimal Control

Jinho Chang ⋅ Jaemin Kim ⋅ Jong Chul YE

DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction

Jiayang Shi ⋅ Daniel Pelt ⋅ Joost Batenburg

Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing

Iskander Azangulov ⋅ Teodora Pandeva ⋅ Niranjani Prasad ⋅ Javier Zazo ⋅ Sushrut Karmalkar

Neodragon: Mobile Video Generation Using Diffusion Transformer

Animesh Karnewar ⋅ Denis Korzhenkov ⋅ Ioannis Lelekas ⋅ Noor Fathima ⋅ Adil Karjauv ⋅ Mohsen Ghafoorian ⋅ Amirhossein Habibian

TROLL: Trust Regions Improve Reinforcement Learning for Large Language Models

Philipp Becker ⋅ Niklas Freymuth ⋅ Serge Thilges ⋅ Fabian Otto ⋅ Gerhard Neumann

LoRA meets Riemannion: Muon Optimizer for Parametrization-independent Low-Rank Adapters

Vladimir Bogachev ⋅ Vladimir Aletov ⋅ Alexander Molozhavenko ⋅ Denis Bobkov ⋅ Vera Soboleva ⋅ Aibek Alanov ⋅ Maxim Rakhuba

Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment

Bac Nguyen ⋅ Yuhta Takida ⋅ Naoki Murata ⋅ Chieh-Hsin Lai ⋅ Toshimitsu Uesaka ⋅ Stefano Ermon ⋅ Yuki Mitsufuji

High-dimensional Mean-Field Games by Particle-based Flow Matching

Jiajia Yu ⋅ Junghwan Lee ⋅ Yao Xie ⋅ Xiuyuan Cheng

DeRaDiff: Denoising Time Realignment of Diffusion Models

Ratnavibusena Don Shahain Manujith ⋅ Teoh Tzun ⋅ Kenji Kawaguchi ⋅ Yang Zhang

ReLaSH: Reconstructing Joint Latent Spaces for Efficient Generation of Synthetic Hypergraphs with Hyperlink Attributes

Feiyan Ma ⋅ Shihao Wu ⋅ Gongjun Xu ⋅ Ji Zhu

Negative Pre-activations Differentiate Syntax

Linghao Kong ⋅ Angelina Ning ⋅ Micah Adler ⋅ Nir Shavit

TriC-Motion: Tri-Domain Causal Modeling Grounded Text-to-Motion Generation

Yiyang Cao ⋅ Yunze Deng ⋅ Ziyu Lin ⋅ Bin Feng ⋅ Xinggang Wang ⋅ Wenyu Liu ⋅ DanDan Zheng ⋅ Jingdong Chen

CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Models

Karim Kadry ⋅ Shoaib Goraya ⋅ Ajay Manicka ⋅ Abdalla Abdelwahed ⋅ Naravich Chutisilp ⋅ Farhad Nezami ⋅ Elazer Edelman

Gumbel Distillation for Parallel Text Generation

Chi Zhang ⋅ Xixi Hu ⋅ Bo Liu ⋅ Qiang Liu

Learning To Draft: Adaptive Speculative Decoding with Reinforcement Learning

Jiebin Zhang ⋅ Zhenghan Yu ⋅ Liang Wang ⋅ Nan Yang ⋅ Eugene Yu ⋅ Zheng Li ⋅ Yifan Song ⋅ Dawei Zhu ⋅ Xingxing Zhang ⋅ Furu Wei ⋅ Sujian Li

PARD: Accelerating LLM Inference with Low‑Cost PARallel Draft Model Adaptation

Zihao An ⋅ Huajun Bai ⋅ Ziqiong Liu ⋅ Dong Li ⋅ Emad Barsoum

Multiplicative Diffusion Models: Beyond Gaussian Latents

Robert Gruhlke ⋅ Valentin Resseguier ⋅ Merveille Talla

EigenScore: OOD Detection using Posterior Covariance in Diffusion Models

Shirin Shoushtari ⋅ Yi Wang ⋅ Xiao Shi ⋅ M. Salman Asif ⋅ Ulugbek Kamilov

Learning to Reason in Structured In-context Environments with Reinforcement Learning

Peng Yu ⋅ Zeyuan Zhao ⋅ Shao Zhang ⋅ Luoyi Fu ⋅ Xinbing Wang ⋅ Ying Wen

Using maximal information auxiliary variables to improve synthetic data generation based on TabPFN foundation models

Elias Chaibub Neto

Is Finer Better? The Limits of Microscaling Formats in Large Language Models

Andrea Fasoli ⋅ Monodeep Kar ⋅ Chi-Chun Liu ⋅ Swagath Venkataramani ⋅ Viji Srinivasan ⋅ Leland Chang ⋅ Naigang Wang

ProReGen: Progressive Residual Generation under Attribute Correlations

Ruby Shrestha ⋅ Ajay Gopi ⋅ Casey Meisenzahl ⋅ Bipin Lekhak ⋅ Linwei Wang

Rethinking the Diffusion Model from a Langevin Perspective

Candi Zheng ⋅ Yuan Lan

Tabby: A Language Model Architecture for Tabular and Structured Data Synthesis

Sonia Cromp · Satya Sai Srinath Namburi GNVV · Mohammed Alkhudhayri · Catherine Cao · Samuel Guo · Nicholas Roberts · Frederic Sala

Canonical Tree Cover Neural Networks for Expressive and Invariant Graph Learning

Michael Ito ⋅ Danai Koutra ⋅ Jenna Wiens

On the Universality and Complexity of GNN for Solving Second-order Cone Programs

Ruizhe Li ⋅ Enming Liang ⋅ Minghua Chen

DR-GGAD: Dual Residual Centering for Mitigating Anomaly Non‑Discriminativity in Generalist Graph Anomaly Detection

Changlong Fu ⋅ Zhenli He ⋅ Xiong Zhang ⋅ Cheng Xie ⋅ Xin Jin ⋅ Yun Yang

Any-Subgroup Equivariant Networks via Symmetry Breaking

Abhinav Goel ⋅ Derek Lim ⋅ Hannah Lawrence ⋅ Stefanie Jegelka ⋅ Ningyuan Huang

GraphUniverse: Synthetic Graph Generation for Evaluating Inductive Generalization

Louis Emiel T Van Langendonck ⋅ Guillermo Bernardez ⋅ Nina Miolane ⋅ Pere Barlet-Ros

Physics-Inspired All-Pair Interaction Learning for 3D Dynamics Modeling

Kai Yang ⋅ Yuqi Huang ⋅ Junheng Tao ⋅ Wanyu Wang ⋅ Qitian Wu

On The Expressive Power of GNN Derivatives

Yam Eitan ⋅ Moshe Eliasof ⋅ Yoav Gelberg ⋅ Fabrizio Frasca ⋅ Guy Bar-Shalom ⋅ Haggai Maron

Low-pass Personalized Subgraph Federated Recommendation

Wooseok Sim ⋅ Hogun Park

LRIM: a Physics-Based Benchmark for Provably Evaluating Long-Range Capabilities in Graph Learning

Joël Mathys ⋅ Henrik Christiansen ⋅ Federico Errica ⋅ Takashi Maruyama ⋅ Francesco Alesiani

Atomic HINs: Entity-Attribute Duality for Heterogeneous Graph Modeling

Shao-En Lin ⋅ Ming-Yi Hong ⋅ Miao-Chen Chiang ⋅ Chih-Yu Wang ⋅ Che Lin

Forest-Based Graph Learning for Semi-Supervised Node Classification

Jin Li ⋅ Shenghao Gao ⋅ Kaichen Zhang ⋅ Xinlong Chen ⋅ Ying Sun ⋅ Hui Xiong

Synchronizing Probabilities in Model-Driven Lossless Compression

Aviv Adler ⋅ Jennifer Tang

Discrete Latent Features Ablate Adversarial Attack: A Robust Prompt Tuning Framework for VLMs

YANG CHEN ⋅ Yanbin Wei ⋅ James Kwok ⋅ Yu Zhang

Constitutional Classifiers++: Efficient Production-Grade Defenses against Universal Jailbreaks

Hoagy Cunningham ⋅ Jerry Wei ⋅ Zihan Wang ⋅ Andrew Persic ⋅ Alwin Peng ⋅ Jordan Abderrachid ⋅ Raj Agarwal ⋅ Bobby Chen ⋅ Andy Dau ⋅ Alek Dimitriev ⋅ Logan Howard ⋅ Yijin Hua ⋅ Rob Gilson ⋅ Mu Lin ⋅ Christopher Liu ⋅ Vladimir Mikulik ⋅ Rohit Mittapalli ⋅ Clare O'Hara ⋅ Jin Pan ⋅ Nikhil Saxena ⋅ Alex Silverstein ⋅ Yue Song ⋅ Giulio Zhou ⋅ Jan Leike ⋅ Jared Kaplan ⋅ Ethan Perez ⋅ Mrinank Sharma

Is In-Context Learning Learning?

Adrian de Wynter

ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases

Ziqian Zhong ⋅ Aditi Raghunathan ⋅ Nicholas Carlini

SeRI: Gradient-Free Sensitive Region Identification in Decision-Based Black-Box Attacks

Feiyang Wang ⋅ Xingquan Zuo ⋅ Hai Huang ⋅ Gang Chen ⋅ Hangwei Qian

Rethinking Pareto Frontier: On the Optimal Trade-offs in Fair Classification

Junyi Chai ⋅ Shenyu Lu ⋅ Xiaoqian Wang

Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks

Ruohao Guo ⋅ Afshin Oroojlooyjadid ⋅ Roshan Sridhar ⋅ Miguel Ballesteros ⋅ Alan Ritter ⋅ Dan Roth

Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining

Anirudh Subramanyam ⋅ Yuxin Chen ⋅ Robert Grossman

Why is Your Language Model a Poor Implicit Reward Model?

Noam Razin ⋅ Yong Lin ⋅ Jiarui Yao ⋅ Sanjeev Arora

How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data

Bhavya Vasudeva ⋅ Puneesh Deora ⋅ Yize Zhao ⋅ Vatsal Sharan ⋅ Christos Thrampoulidis

Noise Stability of Transformer Models

Themistoklis Haris ⋅ Zihan Zhang ⋅ Yuichi Yoshida

Characterizing the Discrete Geometry of ReLU Networks

Blake Gaines ⋅ Jinbo Bi

How reinforcement learning after next-token prediction facilitates learning

Nikolaos Tsilivis ⋅ Eran Malach ⋅ Karen Ullrich ⋅ Julia Kempe

No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks

Yehonathan Refael ⋅ Guy Smorodinsky ⋅ Ofir Lindenbaum ⋅ Itay Safran

The Seismic Wavefield Common Task Framework

Alexey Yermakov ⋅ Yue Zhao ⋅ Marine Denolle ⋅ Yiyu Ni ⋅ Philippe Wyder ⋅ Judah Goldfeder ⋅ Stefano Riva ⋅ Jan Williams ⋅ David Zoro ⋅ Amy Rude ⋅ Matteo Tomasetto ⋅ Joe Germany ⋅ Joseph Bakarji ⋅ Georg Maierhofer ⋅ Miles Cranmer ⋅ Nathan Kutz

Play to Generalize: Learning to Reason Through Game Play

Yunfei Xie ⋅ Yinsong Ma ⋅ Shiyi Lan ⋅ Alan Yuille ⋅ Junfei Xiao ⋅ Chen Wei

ProofFlow: A Dependency Graph Approach to Faithful Proof Autoformalization

Rafael Cabral ⋅ Tuan Manh ⋅ Xuejun Yu ⋅ Wai Ming Tai ⋅ Zijin Feng ⋅ Shen Xin

ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference

Sunghyeon Woo ⋅ Jaeeun Kil ⋅ Hoseung Kim ⋅ Minsub Kim ⋅ Joonghoon Kim ⋅ Ahreum Seo ⋅ Sungjae Lee ⋅ Minjung Jo ⋅ Jiwon Ryu ⋅ baeseong park ⋅ Se Jung Kwon ⋅ Dongsoo Lee

VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models

Weiye Xu ⋅ Jiahao Wang ⋅ Weiyun Wang ⋅ Zhe Chen ⋅ Wengang Zhou ⋅ Aijun Yang ⋅ Lewei Lu ⋅ Houqiang Li ⋅ Xiaohua Wang ⋅ Xizhou Zhu ⋅ Wenhai Wang ⋅ Jifeng Dai ⋅ Jinguo Zhu

FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment

Chuiyang Meng ⋅ Ming Tang ⋅ Vincent Wong

An Information Theoretic Perspective on Agentic System Design

Shizhe He ⋅ Avanika Narayan ⋅ Ishan Khare ⋅ Scott Linderman ⋅ Christopher Re ⋅ Dan Biderman

CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning

Monoshi Kumar Roy ⋅ Simin Chen ⋅ Benjamin Steenhoek ⋅ Jinjun Peng ⋅ Gail Kaiser ⋅ Baishakhi Ray ⋅ Wei Le

KaVa: Latent Reasoning via Compressed KV-Cache Distillation

Anna Kuzina ⋅ Maciej Pióro ⋅ Babak Ehteshami Bejnordi

Libra: Effective yet Efficient Load Balancing for Large-scale MoE Inference

Jaehoon Yang ⋅ Yushin Kim ⋅ Seokwon Moon ⋅ Yeonhong Park ⋅ Jae W. Lee

Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models

Dang Nguyen ⋅ Jiping Li ⋅ Jinghao Zheng ⋅ Baharan Mirzasoleiman

ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation

Zhen Li ⋅ Duan Li ⋅ Yukai Guo ⋅ Xinyuan Guo ⋅ Bowen Li ⋅ Lanxi Xiao ⋅ Shenyu Qiao ⋅ Jiashu Chen ⋅ Zijian Wu ⋅ Hui Zhang ⋅ Xinhuan Shu ⋅ Shixia Liu

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy

Zhonghan Zhao ⋅ Wenwei Zhang ⋅ Haian Huang ⋅ Kuikun Liu ⋅ Jianfei Gao ⋅ Gaoang Wang ⋅ Kai Chen

ResiliBench: Evaluating Agentic Workflow Adaptation in Stochastic Environments

Ruicheng Ao ⋅ Zeping Min ⋅ Tingyu Zhu ⋅ Wotao Yin ⋅ Xinshang Wang

Composable Sparse Subnetworks via Maximum-Entropy Principle

Francesco Caso ⋅ Samuele Fonio ⋅ Simone Monaco ⋅ Nicola Saccomanno ⋅ Fabrizio Silvestri

Universal Properties of Activation Sparsity in Modern Large Language Models

Filip Szatkowski ⋅ Patryk Będkowski ⋅ Alessio Devoto ⋅ Jan Dubiński ⋅ Pasquale Minervini ⋅ Mikolaj Piorczynski ⋅ Simone Scardapane ⋅ Bartosz Wójcik

Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR Benchmarks

Minjeong Ban ⋅ Jeonghwan Choi ⋅ Hyangsuk Min ⋅ Nicole Kim ⋅ Minseok Kim ⋅ Jae-Gil Lee ⋅ Hwanjun Song

GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning

Jie Peng ⋅ Jiarui Ji ⋅ Runlin Lei ⋅ Zhewei Wei ⋅ Yongchao Liu ⋅ Chuntao Hong

The First Impression Problem: Internal Bias Triggers Overthinking in Reasoning Models

Renfei Dang ⋅ Zhening Li ⋅ Shujian Huang ⋅ Jiajun Chen

MambaVoiceCloning: Efficient and Expressive Text-to-Speech via State-Space Modeling and Diffusion Control

Sahil Kumar ⋅ Namrataben Patel ⋅ Honggang Wang ⋅ Youshan Zhang

RankFlow: Property-aware Transport for Protein Optimization

Lu Yu ⋅ Wei Xiang ⋅ Kang Han ⋅ Gaowen Liu ⋅ Ramana Kompella

Pallatom-Ligand: an All-Atom Diffusion Model for Designing Ligand-Binding Proteins

Haochen Wang ⋅ Qianyi Wang ⋅ Rui Ma ⋅ Jiawei Guan ⋅ weikun wu ⋅ haobo wang ⋅ Jiayi Dou

Graph Diffusion Transformers are In-Context Molecular Designers

Gang Liu ⋅ Jie Chen ⋅ Yihan Zhu ⋅ Michael Sun ⋅ Tengfei Luo ⋅ Nitesh Chawla ⋅ Meng Jiang

ProTDyn: A Foundation Protein Language Model for Thermodynamics and Dynamics Generation

Yikai Liu ⋅ Haoyang Zheng ⋅ Lining Mao ⋅ Yanbin Wang ⋅ Ming Chen ⋅ Guang Lin

Branched Schrödinger Bridge Matching

Sophia Tang ⋅ Yinuo Zhang ⋅ Alexander Tong ⋅ Pranam Chatterjee

Refine Drugs, Don’t Complete Them: Uniform-Source Discrete Flows for Fragment-Based Drug Discovery

Benno Kaech ⋅ Luis Wyss ⋅ Karsten Borgwardt ⋅ Gianvito Grasso

A Genetic Algorithm for Navigating Synthesizable Molecular Spaces

Alston Lo ⋅ Connor Coley ⋅ Wojciech Matusik

Distilling Causal Signals for One-Shot Directed Evolution of Antibodies

Sai Pooja Mahajan ⋅ Natasa Tagasovska ⋅ Stefania Vasilaki ⋅ Arian Jamasb ⋅ Andrew Watkins ⋅ Rajesh Ranganath

Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems

Giacomo Turri ⋅ Luigi Bonati ⋅ Kai Zhu ⋅ massimiliano pontil ⋅ Pietro Novelli

MolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generation

Feiyang Cai ⋅ Jiahui Bai ⋅ Tao Tang ⋅ Guijuan He ⋅ Joshua Luo ⋅ Tianyu Zhu ⋅ Srikanth Pilla ⋅ Gang Li ⋅ Ling Liu ⋅ Feng Luo

A Function-Centric Graph Neural Network Approach for Predicting Electron Densities

Manuel Viktor Klockow ⋅ Marc Ickler ⋅ Peter Lippmann ⋅ Fred A Hamprecht

Learning Escorted Protocols For Multistate Free-Energy Estimation

Lars Holdijk ⋅ Nithishwer Mouroug Anand ⋅ Michael Bronstein ⋅ Max Welling

Triangle Multiplication is All You Need for Biomolecular Structure Representations

Jeffrey Ouyang-Zhang ⋅ Pranav Murugan ⋅ Daniel Diaz ⋅ Gianluca Scarpellini ⋅ Richard Bowen ⋅ Nate Gruver ⋅ Adam Klivans ⋅ Philipp Krähenbühl ⋅ Aleksandra Faust ⋅ Maruan Al-Shedivat

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra

Heewoong Noh ⋅ Namkyeong Lee ⋅ Gyoung S. Na ⋅ Kibum Kim ⋅ Chanyoung Park

DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials

Kevin Han ⋅ Bowen Deng ⋅ Amir Barati Farimani ⋅ Gerbrand Ceder

SAVE: A Generalizable Framework for Multi-Condition Single-Cell Generation with Gene Block Attention

Jiahao Li ⋅ Jiayi Dong ⋅ Peng Ye ⋅ Xiaochi Zhou ⋅ Haohai Lu ⋅ Fei Wang

PETRI: Learning Unified Cell Embeddings from Unpaired Modalities via Early-Fusion Joint Reconstruction

Ryan Conrad ⋅ Ethan Weinberger ⋅ Saradha Venkatachalapathy ⋅ Yuwen Chen ⋅ Darshini Shah ⋅ Bay Johnson ⋅ Max Salick ⋅ Vaishaali Natarajan ⋅ Emily Fox

Optimal transport unlocks end-to-end learning for single-molecule localization

Romain Seailles ⋅ Jean Masson ⋅ Jean Ponce ⋅ Julien Mairal

CHAMMI-75: Pre-training multi-channel models with heterogeneous microscopy images

Vidit Agrawal ⋅ John Peters ⋅ Tyler Thompson ⋅ Mohammad Sanian ⋅ Chau Pham ⋅ Nikita Moshkov ⋅ Arshad Kazi ⋅ Aditya Pillai ⋅ Jack Freeman ⋅ Byunguk Kang ⋅ Samouil Farhi ⋅ Ernest Fraenkel ⋅ Ron Stewart ⋅ Lassi Paavolainen ⋅ Bryan Plummer ⋅ Juan Caicedo

PatchDNA: A Flexible and Biologically-Informed Alternative to Tokenization for DNA

Alice Del Vecchio ⋅ Andreas C Kapourani ⋅ Abdullah M Athar ⋅ Agnieszka Dobrowolska ⋅ Andrew Anighoro ⋅ Benjamin Tenmann ⋅ Lindsay Edwards ⋅ Cristian Regep

Representing local protein environments with machine learning force fields

Meital Bojan ⋅ Sanketh Vedula ⋅ Sai Advaith Maddipatla ⋅ Nadav Bojan Sellam ⋅ Anar Rzayev ⋅ Federico Napoli ⋅ Paul Schanda ⋅ Alexander Bronstein

Count Bridges enable Modeling and Deconvolving Transcriptomic Data

Nic Fishman ⋅ Gokul Gowri ⋅ Tanush Kumar ⋅ Jiaqi Lu ⋅ Valentin De Bortoli ⋅ Jonathan Gootenberg ⋅ Omar Abudayyeh

Histopathology-Genomics Multi-modal Structural Representation Learning for Data-Efficient Precision Oncology

KUN WU ⋅ Zhiguo Jiang ⋅ Xinyu Zhu ⋅ Jun Shi ⋅ Yushan Zheng

HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series

Simon Lee ⋅ Cyrus Tanade ⋅ Hao Zhou ⋅ Juhyeon Lee ⋅ Megha Thukral ⋅ Md. Sazzad Hissain Khan ⋅ Keum San Chun ⋅ Baiying Lu ⋅ Migyeong Gwak ⋅ Mehrab Bin Morshed ⋅ Viswam Nathan ⋅ Mahbubur Rahman ⋅ Li Zhu ⋅ Subramaniam Venkatraman ⋅ Sharanya Desai

Medical thinking with multiple images

Zonghai Yao ⋅ Benlu Wang ⋅ Yifan Zhang ⋅ Junda Wang ⋅ Iris Xia ⋅ Zhipeng Tang ⋅ Shuo Han ⋅ Feiyun ⋅ Zhichao Yang ⋅ Arman Cohan ⋅ Hong Yu

Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification

Conghao Xiong ⋅ Zhengrui Guo ⋅ Zhe Xu ⋅ Yifei Zhang ⋅ Raymond Kai-yu Tong ⋅ Si Yong Yeo ⋅ Hao CHEN ⋅ Joseph JY Sung ⋅ Irwin King

BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals

Chenqi Li ⋅ Yu Liu ⋅ Timothy Denison ⋅ Tingting Zhu

SAQ: Stabilizer-Aware Quantum Error Correction Decoder

David Zenati ⋅ Eliya Nachmani

Lean4Physics: Comprehensive Reasoning Framework for College-level Physics in Lean4

Yuxin Li ⋅ Minghao LIU ⋅ Ruida WANG ⋅ JI WenZhao ⋅ Zhitao He ⋅ Rui Pan ⋅ Junming Huang ⋅ Tong Zhang ⋅ Yi R. Fung

Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs

Cheng Jing ⋅ Uvini Balasuriya Mudiyanselage ⋅ Abhishek Verma ⋅ Kallol Bera ⋅ Shahid Rauf ⋅ Kookjin Lee

FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics

David Park ⋅ Shuhang Li ⋅ Yi Huang ⋅ Xihaier Luo ⋅ Haiwang Yu ⋅ Yeonju Go ⋅ Christopher Pinkenburg ⋅ YUEWEI LIN ⋅ Shinjae Yoo ⋅ Joseph Osborn ⋅ Jin Huang ⋅ Yihui Ren

Learning Data-Efficient and Generalizable Neural Operators via Fundamental Physics Knowledge

Siying (Sydney) Ma ⋅ Mehrdad Momeni Zadeh ⋅ Mauricio Soroco ⋅ Wuyang Chen ⋅ Jiguo Cao ⋅ Vijay Ganesh

Tequila: Trapping-free Ternary Quantization for Large Language Models

Hong Huang ⋅ 吴德成 ⋅ Rui Cen ⋅ Guanghua Yu ⋅ Zonghang Li ⋅ Kai Liu ⋅ Jianchen Zhu ⋅ Peng Chen ⋅ Xue Liu ⋅ Dapeng Wu

Einstein Fields: A Neural Perspective To Computational General Relativity

Sandeep Cranganore ⋅ Andrei Bodnar ⋅ Arturs Berzins ⋅ Johannes Brandstetter

SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling

Yixian Zhang ⋅ Shu-ang Yu ⋅ Tonghe Zhang ⋅ Mo Guang ⋅ Haojia Hui ⋅ Kaiwen Long ⋅ Yu Wang ⋅ Chao Yu ⋅ Wenbo Ding

Primary-Fine Decoupling for Action Generation in Robotic Imitation

Xiaohan Lei ⋅ Min Wang ⋅ Wengang Zhou ⋅ Xingyu Lu ⋅ Houqiang Li

SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions

Jeongyong Yang ⋅ Seunghwan Jang ⋅ SooJean Han

PA3FF:Learning Part-Aware Dense 3D Feature Field For Generalizable Articulated Object Manipulation

Yue Chen ⋅ Muqing Jiang ⋅ Kaifeng Zheng ⋅ Jiaqi Liang ⋅ Chenrui Tie ⋅ Haoran Lu ⋅ Ruihai Wu ⋅ Hao Dong

CompassNav: Steering From Path Imitation to Decision Understanding In Navigation

LinFeng Li ⋅ Jian Zhao ⋅ Yuan Xie ⋅ Xin Tan ⋅ Xuelong Li

Language Identification in the Limit with Computational Trace

Binghui Peng ⋅ Amin Saberi ⋅ Grigoris Velegkas

Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation

Xiaohuan Pei ⋅ Yuxing Chen ⋅ Siyu Xu ⋅ Yunke Wang ⋅ Yuheng Shi ⋅ Chang Xu

SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation

Qianzhong Chen ⋅ Justin Yu ⋅ Mac Schwager ⋅ Pieter Abbeel ⋅ Fred Shentu ⋅ Philipp Wu

Generalizable Coarse-to-Fine Robot Manipulation via Language-Aligned 3D Keypoints

Jianshu Hu ⋅ Lidi Wang ⋅ Shujia Li ⋅ Yunpeng Jiang ⋅ Xiao Li ⋅ Paul Weng ⋅ Yutong Ban

Accelerated co-design of robots through morphological pretraining

Luke Strgar ⋅ Sam Kriegman

AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory

Zhiqian Lan ⋅ Yuxuan Jiang ⋅ Ruiqi Wang ⋅ Xuanbing Xie ⋅ Rongkui Zhang ⋅ Yicheng Zhu ⋅ LI PEIHANG ⋅ Tianshuo Yang ⋅ Tianxing Chen ⋅ Haoyu Gao ⋅ Xiaokang Yang ⋅ Xuelong Li ⋅ Hongyuan Zhang ⋅ Yao Mu ⋅ Ping Luo

Bird's-eye-view Informed Reasoning Driver

Yinuo Wang ⋅ Mining Tan ⋅ Yuanxin Zhong ⋅ Wang zhitao ⋅ Siyuan Cheng

UnLoc: Leveraging Depth Uncertainties for Floorplan Localization

Matthias Wüest ⋅ Francis Engelmann ⋅ Ondrej Miksik ⋅ Marc Pollefeys ⋅ Daniel Barath

H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning

Yiyang Lu ⋅ Yufeng Tian ⋅ Zhecheng Yuan ⋅ Xianbang Wang ⋅ Pu Hua ⋅ Zhengrong Xue ⋅ Huazhe Xu

Demystifying Robot Diffusion Policies: Action Memorization and a Simple Lookup Table Alternative

Chengyang He ⋅ Xu Liu ⋅ Gadiel Sznaier Camps ⋅ Joseph Bruno ⋅ Guillaume Sartoretti ⋅ Mac Schwager

RobotArena $\infty$: Scalable Robot Benchmarking via Real-to-Sim Translation

Yash Jangir ⋅ Yidi Zhang ⋅ Kashu Yamazaki ⋅ Chenyu Zhang ⋅ Kuan-Hsun Tu ⋅ Tsung-Wei Ke ⋅ Lei Ke ⋅ Yonatan Bisk ⋅ Katerina Fragkiadaki

DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving

Yang Zhou ⋅ Hao Shao ⋅ Letian Wang ⋅ Zhuofan Zong ⋅ Hongsheng Li ⋅ Steven Waslander

DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving

Haisheng Su ⋅ Wei Wu ⋅ Feixiang Song ⋅ Junjie Zhang ⋅ Zhenjie Yang ⋅ Junchi Yan

ROSETTA: Constructing Code-Based Reward from Unconstrained Language Preference

Sanjana Srivastava ⋅ Kangrui Wang ⋅ Yung-Chieh Chan ⋅ Tianyuan Dai ⋅ Manling Li ⋅ Ruohan Zhang ⋅ Mengdi Xu ⋅ Jiajun Wu ⋅ Li Fei-Fei

SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place Recognition

Shunpeng Chen ⋅ Changwei Wang ⋅ Rongtao Xu ⋅ xingtianPei ⋅ yukun Song ⋅ Jinzhou Lin ⋅ Wenhao Xu ⋅ jingyizhang ⋅ Li Guo ⋅ Shibiao Xu

DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning

Ke Guo ⋅ Haochen Liu ⋅ XIAOJUN WU ⋅ Chen Lv

Difference-Aware Retrieval Policies for Imitation Learning

Quinn Pfeifer ⋅ Ethan Pronovost ⋅ Paarth Shah ⋅ Khimya Khetarpal ⋅ Siddhartha Srinivasa ⋅ Abhishek Gupta

Remotely Detectable Robot Policy Watermarking

Michael Amir ⋅ Manon Flageat ⋅ Amanda Prorok

HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion

Sixu Lin ⋅ Guanren Qiao ⋅ Yunxin Tai ⋅ Ang Li ⋅ Kui Jia ⋅ Guiliang Liu

Geometry-aware 4D Video Generation for Robot Manipulation

Zeyi Liu ⋅ Shuang Li ⋅ Eric Cousineau ⋅ Siyuan Feng ⋅ Benjamin Burchfiel ⋅ Shuran Song

Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning

Siyang Li ⋅ Yize Chen ⋅ Yan Guo ⋅ Ming Huang ⋅ Hui Xiong

CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data

Shifeng Xie ⋅ Vasilii Feofanov ⋅ Jianfeng Zhang ⋅ Themis Palpanas ⋅ Ievgen Redko

Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition

Dongyuan Li ⋅ Shun Zheng ⋅ Chang XU ⋅ Jiang Bian ⋅ Renhe Jiang

Time-Gated Multi-Scale Flow Matching for Time-Series Imputation

Hangtian Wang ⋅ Mahito Sugiyama

Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series

Yu Guoqi ⋅ Juncheng Wang ⋅ Chen Yang ⋅ Jing Qin ⋅ Angelica Aviles-Rivero ⋅ Shujun Wang

Battery Fault: A Comprehensive Dataset and Benchmark for Battery Fault Diagnosis

Qingdi Liu ⋅ Yan Fu ⋅ Lishuo LIU ⋅ Yanke LIN ⋅ Jin Xin ⋅ Jianfeng Zhang ⋅ Cheng Liu ⋅ Lujia Pan ⋅ Dongxu Guo ⋅ Yuejiu Zheng ⋅ Qiang Li

Enabling arbitrary inference in spatio-temporal dynamic systems: A physics-inspired perspective

Yan Ge ⋅ Zhengyang Zhou ⋅ Qihe Huang ⋅ Yuxuan Liang ⋅ Yang Wang

Zero-shot Forecasting by Simulation Alone

Boris Oreshkin ⋅ Mayank Jauhari ⋅ Ravi Kiran Selvam ⋅ Malcolm Wolff ⋅ Wenhao Pan ⋅ Shankar Ramasubramanian ⋅ KIN GUTIERREZ ⋅ Tatiana Konstantinova ⋅ Andres Potapczynski ⋅ Mengfei Cao ⋅ Dmitry Efimov ⋅ Michael W Mahoney ⋅ Andrew Gordon Wilson

ResCP: Reservoir Conformal Prediction for Time Series Forecasting

Roberto Neglia ⋅ Andrea Cini ⋅ Michael Bronstein ⋅ Filippo Maria Bianchi

From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting

Xilin Dai ⋅ Zhijian Xu ⋅ Wanxu Caii ⋅ Qiang Xu

TAMMs: Change Understanding and Forecasting in Satellite Image Time Series with Temporal-Aware Multimodal Models

Zhongbin Guo ⋅ Yuhao Wang ⋅ Ping Jian ⋅ Chengzhi Li ⋅ Xinyue Chen ⋅ Zhen Yang ⋅ Ertai E

PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection

Jinju Park ⋅ Seokho Kang

Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting

Boyuan Li ⋅ Zhen Liu ⋅ Yicheng Luo ⋅ Qianli Ma

ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting

Ziheng Peng ⋅ Shijie Ren ⋅ Xinyue Gu ⋅ Linxiao Yang ⋅ Xiting Wang ⋅ Liang Sun

UniCA: Unified Covariate Adaptation for Time Series Foundation Model

Lu Han ⋅ Yu Liu ⋅ Lan Li ⋅ Qiwen Deng ⋅ Jian Jiang ⋅ Yinbo sun ⋅ Zhe Yu ⋅ Binfeng Wang ⋅ Xingyu Lu ⋅ Lintao Ma ⋅ Han-Jia Ye ⋅ De-Chuan Zhan

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables

Zhengyu Li ⋅ Xiangfei Qiu ⋅ Yuhan Zhu ⋅ Xingjian Wu ⋅ Jilin Hu ⋅ Guo ⋅ Bin Yang

SE-Diff: Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation

Xiaoda Wang ⋅ Kaiqiao Han ⋅ Yuhao Xu ⋅ Xiao Luo ⋅ Yizhou Sun ⋅ Wei Wang ⋅ Carl Yang

GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care

Ruirui Wang ⋅ Yanke Li ⋅ Manuel Günther ⋅ Diego Paez-Granados

Contextual and Seasonal LSTMs for Time Series Anomaly Detection

Lingpei Zhang ⋅ Qingming Li ⋅ Yong Yang ⋅ Jiahao Chen ⋅ Rui Zeng ⋅ Chenyang Lyu ⋅ Shouling Ji

Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting

Siyuan Wang ⋅ Peng Chen ⋅ Yihang Wang ⋅ Wanghui Qiu ⋅ Guo ⋅ Bin Yang ⋅ Yang Shu

G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge

Linhao Luo ⋅ Zicheng Zhao ⋅ Junnan Liu ⋅ Zhangchi Qiu ⋅ Junnan Dong ⋅ Serge Panev ⋅ Chen Gong ⋅ Thuy-Trang Vu ⋅ Gholamreza Haffari ⋅ Dinh Phung ⋅ Alan Liew ⋅ Shirui Pan

Leveraging Pretrained Knowledge at Inference Time: LoRA-Gated Contrastive Decoding for Multilingual Factual Language Generation in Adapted LLMs

Gwangseon Jang ⋅ Hongseok Choi ⋅ Chanuk lim ⋅ Kyong-Ha Lee ⋅ Mun Yi

ACADREASON: Exploring the Limits of Reasoning Models with Academic Research Problems

Xin Gui ⋅ Zhu ⋅ JinCheng Ren ⋅ Qianben Chen ⋅ Zekun Wang ⋅ Yizhi Li ⋅ Xinpeng Liu ⋅ Wallis_Wenli Ren ⋅ Linyu Miao ⋅ Tianrui Qin ⋅ Ziqi Shu ⋅ He Zhu ⋅ Dingfeng Shi ⋅ JIAHENG LIU ⋅ Yuchen Jiang ⋅ Minghao Liu ⋅ Ge Zhang ⋅ Wangchunshu Zhou

Neuron-Aware Data Selection in Instruction Tuning for Large Language Models

Xin Chen ⋅ Junchao Wu ⋅ Shu Yang ⋅ Runzhe Zhan ⋅ Zeyu Wu ⋅ Min Yang ⋅ Shujian Huang ⋅ Lidia Chao ⋅ Derek Wong

Pay Attention to CTC: Fast and Robust Pseudo-Labelling for Unified Speech Recognition

Alexandros Haliassos ⋅ Rodrigo Mira ⋅ Stavros Petridis

PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity

Zixin Song ⋅ Bowen Zhang ⋅ QIANWEN ZHANG ⋅ di yin ⋅ Xing Sun ⋅ Chunping Li

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment

Chenlin Ming ⋅ Chendi Qu ⋅ Qizhi Pei ⋅ Zhuoshi Pan ⋅ Yu Li ⋅ Xiaoming Duan ⋅ Lijun Wu ⋅ Conghui He

RefTool: Reference-Guided Tool Creation for Knowledge-Intensive Reasoning

Xiao Liu ⋅ Da Yin ⋅ Zirui Wu ⋅ Yansong Feng

Inheriting Generalizable Knowledge from LLMs to Diverse Vertical Tasks

Chang Liu ⋅ boyu shi ⋅ xu yang ⋅ Qiufeng Wang ⋅ Xin Geng

Latent Speech-Text Transformer

Yen-Ju Lu ⋅ Yashesh Gaur ⋅ Wei Zhou ⋅ Benjamin Muller ⋅ Jesus Villalba ⋅ Najim Dehak ⋅ Luke Zettlemoyer ⋅ Gargi Ghosh ⋅ Mike Lewis ⋅ Srini Iyer ⋅ Duc Le

FlexiCodec: A Dynamic Neural Audio Codec for Low Frame Rates

Jiaqi Li ⋅ Yao Qian ⋅ Yuxuan Hu ⋅ leying zhang ⋅ Xiaofei Wang ⋅ Heng Lu ⋅ Manthan Thakker ⋅ Jinyu Li ⋅ sheng zhao ⋅ Zhizheng Wu

Should We Still Pretrain Encoders with Masked Language Modeling?

Hippolyte Gisserot-Boukhlef ⋅ Nicolas Boizard ⋅ Manuel Faysse ⋅ Duarte Alves ⋅ Emmanuel Malherbe ⋅ Andre Martins ⋅ CELINE HUDELOT ⋅ Pierre Colombo

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization

Huashan Sun ⋅ Shengyi Liao ⋅ Yansen Han ⋅ Yu Bai ⋅ Yang Gao ⋅ Cheng Fu ⋅ Weizhou Shen ⋅ Fanqi Wan ⋅ Ming Yan ⋅ Ji Zhang ⋅ Fei Huang

From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents

Derong Xu ⋅ Yi Wen ⋅ Pengyue Jia ⋅ Yingyi Zhang ⋅ Wenlin Zhang ⋅ Yichao Wang ⋅ Huifeng Guo ⋅ Ruiming Tang ⋅ Xiangyu Zhao ⋅ Enhong Chen ⋅ Tong Xu

Fluent Alignment with Disfluent Judges: Post-training for lower-resource languages

David Samuel ⋅ Lilja Øvrelid ⋅ Erik Velldal ⋅ Andrey Kutuzov

LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild

Jiayu Wang ⋅ Yifei Ming ⋅ Riya Dulepet ⋅ Qinglin Chen ⋅ Austin Xu ⋅ Zixuan Ke ⋅ Frederic Sala ⋅ Aws Albarghouthi ⋅ Caiming Xiong ⋅ Shafiq Joty

AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent

Haipeng Luo ⋅ Huawen Feng ⋅ Qingfeng Sun ⋅ Can Xu ⋅ Kai Zheng ⋅ Yufei Wang ⋅ TAO YANG ⋅ Winston Hu ⋅ Yansong Tang

Rectifying LLM Thought from Lens of Optimization

Junnan Liu ⋅ Hongwei Liu ⋅ Songyang Zhang ⋅ Kai Chen

ClarifyVC: Clarifying Ambiguous Commands in Vehicle Control with a Hybrid Data Augmentation Pipeline

Hange Zhou ⋅ Zhonglin Jiang ⋅ yingjie cui ⋅ Mingzhe Zhang ⋅ Xiaotang Wang ⋅ Hengwei Dai ⋅ Qiyao Yu ⋅ Yong Chen ⋅ Yongqi Zhang

TableMaster: A Recipe to Advance Table Understanding with Language Models

Lang Cao ⋅ Hanbing Liu

Learning to Generate Unit Test via Adversarial Reinforcement Learning

Dongjun Lee ⋅ Changho Hwang ⋅ Kimin Lee

SPRIG: Improving Large Language Model Performance by System Prompt Optimization

Lechen Zhang ⋅ Tolga Ergen ⋅ Lajanugen Logeswaran ⋅ Moontae Lee ⋅ David Jurgens

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Yihe Deng ⋅ I-Hung Hsu ⋅ Jun Yan ⋅ Zifeng Wang ⋅ Rujun Han ⋅ Gufeng Zhang ⋅ Yanfei Chen ⋅ Wei Wang ⋅ Tomas Pfister ⋅ Chen-Yu Lee

Critique-RL: Training Language Models For Critiquing Through Two-Stage Reinforcement Learning

Zhiheng Xi ⋅ Jixuan Huang ⋅ Xin Guo ⋅ Boyang Hong ⋅ Dingwen Yang ⋅ Xiaoran Fan ⋅ Shuo Li ⋅ Zehui Chen ⋅ Junjie Ye ⋅ Siyu Yuan ⋅ Zhengyin Du ⋅ Xuesong Yao ⋅ Yufei Xu ⋅ Jiecao Chen ⋅ Rui Zheng ⋅ Tao Gui ⋅ Qi Zhang ⋅ Xuanjing Huang

DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM Reasoning

Weize Liu ⋅ Yongchi Zhao ⋅ Yijia Luo ⋅ Mingyu Xu ⋅ JIAHENG LIU ⋅ Yanan Li ⋅ Xiguo Hu ⋅ Zhiqi Bai ⋅ Yuchi Xu ⋅ wenbo su ⋅ Bo Zheng

ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant Simulation

Jiho Kim ⋅ Junseong Choi ⋅ Woosog Chay ⋅ Daeun Kyung ⋅ Yeonsu Kwon ⋅ Yohan Jo ⋅ Edward Choi

Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution

Tianrui Qin ⋅ Qianben Chen ⋅ Sinuo Wang ⋅ He Xing ⋅ Zhu ⋅ He Zhu ⋅ Dingfeng Shi ⋅ Xinxin Liu ⋅ Ge Zhang ⋅ JIAHENG LIU ⋅ Xitong Gao ⋅ Yuchen Jiang ⋅ Wangchunshu Zhou

Code Aesthetics with Agentic Reward Feedback

Bang Xiao ⋅ Lingjie Jiang ⋅ Shaohan Huang ⋅ Tengchao Lv ⋅ Yupan Huang ⋅ xun wu ⋅ Lei Cui ⋅ Furu Wei

Disentangling Knowledge Representations for Large Language Model Editing

Mengqi Zhang ⋅ Zisheng Zhou ⋅ Xiaotian Ye ⋅ Qiang Liu ⋅ Zhaochun Ren ⋅ Zhumin Chen ⋅ Pengjie Ren

Explore-on-Graph: Incentivizing Autonomous Exploration of Large Language Models on Knowledge Graphs with Path-refined Reward Modeling

Shiqi Yan ⋅ Yubo Chen ⋅ Ruiqi Zhou ⋅ Zhengxi Yao ⋅ Shuai Chen ⋅ Tianyi Zhang ⋅ Shijie Zhang ⋅ Wei-Qiang Zhang ⋅ Yongfeng Huang ⋅ Haixin Duan ⋅ Yunqi Zhang

RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs

Kohsei Matsutani ⋅ Shota Takashiro ⋅ Gouki Minegishi ⋅ Takeshi Kojima ⋅ Yusuke Iwasawa ⋅ Yutaka Matsuo

WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research

Zijian Li ⋅ Xin Guan ⋅ Bo Zhang ⋅ Shen Huang ⋅ Houquan Zhou ⋅ Shaopeng Lai ⋅ Ming Yan ⋅ Yong Jiang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Jun Zhang ⋅ Jingren Zhou

What Generative Search Engines Like and How to Optimize Web Content Cooperatively

Yujiang Wu ⋅ Shanshan Zhong ⋅ Yubin Kim ⋅ Chenyan Xiong

Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management

Mo Li ⋅ L.H. Xu ⋅ Qitai Tan ⋅ Long Ma ⋅ Hongyong Song ⋅ Ting Cao ⋅ Yunxin Liu

DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas

Zirui Wu ⋅ Lin Zheng ⋅ Zhihui Xie ⋅ Jiacheng Ye ⋅ Jiahui Gao ⋅ Shansan Gong ⋅ Yansong Feng ⋅ Zhenguo Li ⋅ Wei BI ⋅ Guorui Zhou ⋅ Lingpeng Kong

Variation in Verification: Understanding Verification Dynamics in Large Language Models

Yefan Zhou ⋅ Austin Xu ⋅ Yilun Zhou ⋅ Janvijay Singh ⋅ Jiang Gui ⋅ Shafiq Joty

ODESteer: A Unified ODE-Based Steering Framework for LLM Alignment

Hongjue Zhao ⋅ Haosen Sun ⋅ Jiangtao Kong ⋅ Xiaochang Li ⋅ Qineng Wang ⋅ Liwei Jiang ⋅ Qi Zhu ⋅ Tarek Abdelzaher ⋅ Yejin Choi ⋅ Manling Li ⋅ Huajie Shao

Repurposing Synthetic Data for Fine-grained Search Agent Supervision

Yida Zhao ⋅ Kuan Li ⋅ Xixi Wu ⋅ Liwen Zhang ⋅ Ding-Chu Zhang ⋅ Baixuan Li ⋅ Maojia Song ⋅ Zhuo Chen ⋅ Chenxi Wang ⋅ Xinyu Wang ⋅ Kewei Tu ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Jingren Zhou ⋅ Yong Jiang

Post-training Large Language Models for Diverse High-Quality Responses

Yilei Chen ⋅ Souradip Chakraborty ⋅ Lorenz Wolf ⋅ Ioannis Paschalidis ⋅ Aldo Pacchiano

Parallel Token Prediction for Language Models

Felix Draxler ⋅ Justus Will ⋅ Farrin Sofian ⋅ THEOFANIS KARALETSOS ⋅ Sameer Singh ⋅ Stephan Mandt

Flow2GAN: Hybrid Flow Matching and GAN with Multi-Resolution Network for Few-step High-Fidelity Audio Generation

Zengwei Yao ⋅ Wei Kang ⋅ Han Zhu ⋅ Liyong Guo ⋅ Lingxuan Ye ⋅ Fangjun Kuang ⋅ Weiji Zhuang ⋅ Zhaoqing Li ⋅ Zhifeng Han ⋅ Long Lin ⋅ Daniel Povey

Data-Centric Lessons To Improve Speech-Language Pretraining

Vishaal Udandarao ⋅ Zhiyun Lu ⋅ Xuankai Chang ⋅ Yongqiang Wang ⋅ Albin Madappally Jose ⋅ Fartash Faghri ⋅ Josh Gardner ⋅ Chung-Cheng Chiu

TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning

Shenzhi Yang ⋅ Guangcheng Zhu ⋅ Haobo Wang ⋅ Xing Zheng ⋅ Yingfan MA ⋅ Zhongqi Chen ⋅ Bowen Song ⋅ Weiqiang Wang ⋅ Junbo Zhao ⋅ Gang Chen

Don't Throw Away Your Pretrained Model

Shangbin Feng ⋅ Wenhao Yu ⋅ Yike Wang ⋅ Hongming Zhang ⋅ Yulia Tsvetkov ⋅ Dong Yu

SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models

Chenyu Wang ⋅ Paria Rashidinejad ⋅ Andy (DiJia) Su ⋅ Song Jiang ⋅ Sid Wang ⋅ Siyan Zhao ⋅ Cai Zhou ⋅ Shannon Shen ⋅ Feiyu Chen ⋅ Tommi Jaakkola ⋅ Yuandong Tian ⋅ Bo Liu

ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality

Shayne Longpre ⋅ Sneha Kudugunta ⋅ Niklas Muennighoff ⋅ I-Hung Hsu ⋅ Isaac Caswell ⋅ Alex Pentland ⋅ Sercan Arik ⋅ Chen-Yu Lee ⋅ Sayna Ebrahimi

Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks

Yuan Hua ⋅ Jilin Zhang ⋅ Yingtao Zhang ⋅ Leyi You ⋅ Baobo Xiong ⋅ Carlo Vittorio Cannistraci ⋅ Hong Chen

Generating metamers of human scene understanding

Ritik Raina ⋅ Abe Leite ⋅ Alexandros Graikos ⋅ Seoyoung Ahn ⋅ Dimitris Samaras ⋅ Gregory Zelinsky

A tale of two tails: Preferred and anti-preferred natural stimuli in visual cortex

Rabia Gondur ⋅ Patricia Stan ⋅ Matthew A Smith ⋅ Benjamin Cowley

The Mind's Transformer: Computational Neuroanatomy of LLM-Brain Alignment

Cheng-Yeh Chen ⋅ Raghupathy Sivakumar

Low rank adaptation of chemical foundation models generate effective odorant representations

Grant McConachie ⋅ Emily Duniec ⋅ Florence Guerina ⋅ Meg Younger ⋅ Brian DePasquale

Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining

Yanchen Wang ⋅ Han Yu ⋅ Ari Blau ⋅ Yizi Zhang ⋅ International Brain Laboratory ⋅ Liam Paninski ⋅ Cole Hurwitz ⋅ Matthew R Whiteway

Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer

Roman Beliy ⋅ Amit Zalcher ⋅ Jonathan Kogman ⋅ navve wasserman ⋅ michal Irani

ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks

Haohui Jia ⋅ Zheng Chen ⋅ Lingwei Zhu ⋅ Rikuto Kotoge ⋅ Jathurshan Pradeepkumar ⋅ Yasuko Matsubara ⋅ Jimeng Sun ⋅ Yasushi Sakurai ⋅ Takashi Matsubara

From movement to cognitive maps: recurrent neural networks reveal how locomotor development shapes hippocampal spatial coding

Marco P Abrate ⋅ Laurenz Muessig ⋅ Joshua Bassett ⋅ Hui Tan ⋅ Francesca Cacucci ⋅ Thomas Wills ⋅ Caswell Barry

MindPilot: Closed-loop Visual Stimulation Optimization for Brain Modulation with EEG-guided Diffusion

Dongyang Li ⋅ Kunpeng Xie ⋅ Mingyang Wu ⋅ Yiwei Kong ⋅ Jiahua Tang ⋅ Haoyang Qin ⋅ Chen Wei ⋅ Quanying Liu

SMixer: Rethinking Efficient-Training and Event-Driven SNNs

Yijie Lu ⋅ Xinhao Luo ⋅ Yixing Zhang ⋅ Zhiyan Wang ⋅ Wentao Li ⋅ Yanhan Wang ⋅ Zhi Liu ⋅ Zhaokun Zhou ⋅ Guoqi Li

Theory-Grounded Evaluation of Human-Like Fallacy Patterns in LLM Reasoning

Andrew Richardson ⋅ Ryan Kearns ⋅ Sean Moss ⋅ Vincent Wang ⋅ Philipp Koralus

The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution

Junlong Li ⋅ Wenshuo Zhao ⋅ Jian Zhao ⋅ Weihao Zeng ⋅ Haoze Wu ⋅ Xiaochen Wang ⋅ Rui Ge ⋅ Yuxuan Cao ⋅ Yuzhen Huang ⋅ Wei Liu ⋅ Junteng LIU ⋅ Zhaochen Su ⋅ Yiyang Guo ⋅ FAN ZHOU ⋅ Lueyang Zhang ⋅ Juan Michelini ⋅ Xingyao Wang ⋅ Xiang Yue ⋅ Shuyan Zhou ⋅ Graham Neubig ⋅ Junxian He

From Large to Small: Transferring CUDA Optimization Expertise via Reasoning Graph

Junfeng Gong ⋅ Zhiyi Wei ⋅ Junying Chen ⋅ Cheng Liu ⋅ Huawei Li

Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification

Moises Andrade ⋅ Joonhyuk Cha ⋅ Brandon Ho ⋅ Vriksha Srihari ⋅ Karmesh Yadav ⋅ Zsolt Kira

iFusion: Integrating Dynamic Interest Streams via Diffusion Model for Click-Through Rate Prediction

Ziheng Ni ⋅ Congcong Liu ⋅ Yuying Chen ⋅ Zhiwei Fang ⋅ Changping Peng ⋅ Zhangang Lin ⋅ Ching Law ⋅ Jingping Shao

SmartDJ: Declarative Audio Editing with Audio Language Model

Zitong Lan ⋅ Yiduo Hao ⋅ Mingmin Zhao

LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection

Benjamin Chou ⋅ Purvish Jajal ⋅ Nicholas Eliopoulos ⋅ James Davis ⋅ George Thiruvathukal ⋅ Kristen Yun ⋅ Yung-Hsiang Lu

Topology Matters in RTL Circuit Representation Learning

Mingyu Zhao ⋅ Xun He ⋅ Jiawei Liu ⋅ Jianwang Zhai ⋅ Chuan Shi

Eigen-Agent: Adaptive Multi-Agent Scientific Reasoning with Monitor-Based RAG

Xiangru Tang ⋅ Wanghan Xu ⋅ Yujie Wang ⋅ Zijie Guo ⋅ Daniel Shao ⋅ Cixuan Zhang ⋅ Ziyi Wang ⋅ Lixin Zhang ⋅ Frank Wan ⋅ Zhenfei Yin ⋅ Wenlong Zhang ⋅ LEI BAI ⋅ Philip Torr ⋅ Hanrui Wang ⋅ Di Jin

LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR

Guang Yang ⋅ Victoria Ebert ⋅ Nazif Tamer ⋅ Brian Zheng ⋅ Luiza Pozzobon ⋅ Noah Smith

Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents

Jiayi Kuang ⋅ Yinghui Li ⋅ Xin Zhang ⋅ Yangning Li ⋅ di yin ⋅ Xing Sun ⋅ Ying Shen ⋅ Philip Yu

MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile Manipulation

Chengshu Li ⋅ Mengdi Xu ⋅ Arpit Bahety ⋅ Hang Yin ⋅ Yunfan Jiang ⋅ Huang Huang ⋅ Josiah Wong ⋅ Sujay Garlanka ⋅ Cem Gokmen ⋅ Ruohan Zhang ⋅ Weiyu Liu ⋅ Jiajun Wu ⋅ Roberto Martín-Martín ⋅ Li Fei-Fei

PCB-Bench: Benchmarking LLMs for Printed Circuit Board Placement and Routing

Jindong Li ⋅ Lianrong Chen ⋅ BIN YANG ⋅ Jiadong Zhu ⋅ Ying Wang ⋅ Yuzhe Ma ⋅ Menglin Yang

CollectiveKV: Decoupling and Sharing Collaborative Information in Sequential Recommendation

Jingyu Li ⋅ Zhaocheng Du ⋅ Qianhui Zhu ⋅ kaiyuan Li ⋅ ZHICHENG ZHANG ⋅ Wu ⋅ Chaolang Li ⋅ Pengwen Dai

DiSRouter: Distributed Self-Routing for LLM Selections

Hang Zheng ⋅ Hongshen Xu ⋅ Yongkai LIN ⋅ Shuai Fan ⋅ Lu Chen ⋅ Kai Yu

RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback

Chunyu Miao ⋅ Henry Peng Zou ⋅ Yangning Li ⋅ Yankai Chen ⋅ Yibo Wang ⋅ Fangxin Wang ⋅ Yifan Li ⋅ Wooseong Yang ⋅ Bowei He ⋅ Xinni Zhang ⋅ Dianzhi Yu ⋅ Hanchen Yang ⋅ Hoang Nguyen ⋅ Yue Zhou ⋅ Jie Yang ⋅ Jizhou Guo ⋅ Wenzhe Fan ⋅ Chin-Yuan Yeh ⋅ Panpan Meng ⋅ Liancheng Fang ⋅ Jinhu Qi ⋅ Wei-Chieh Huang ⋅ Zhengyao Gu ⋅ Yuwei Han ⋅ Langzhou He ⋅ Yuyao Yang ⋅ Xue Liu ⋅ Irwin King ⋅ Philip Yu

EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements

Issa Sugiura ⋅ Takashi Ishida ⋅ Taro Makino ⋅ Chieko Tazuke ⋅ Takanori Nakagawa ⋅ Kosuke Nakago ⋅ David Ha

Zero-shot Human Pose Estimation using Diffusion-based Inverse solvers

Sahil Bhandary Karnoor ⋅ Romit Roy Choudhury

VERINA: Benchmarking Verifiable Code Generation

Zhe Ye ⋅ Zhengxu Yan ⋅ Jingxuan He ⋅ Timothe Kasriel ⋅ Kaiyu Yang ⋅ Dawn Song

Why Keep Your Doubts to Yourself? Trading Visual Uncertainties among Vision-Language Models

jusheng zhang ⋅ Yijia Fan ⋅ Kaitong Cai ⋅ Jing Yang ⋅ Jiawei Yao ⋅ Jian Wang ⋅ Guanlong Qu ⋅ Ziliang Chen ⋅ Keze Wang

FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction

zhiyuan zeng ⋅ Jiashuo Liu ⋅ Siyuan Chen ⋅ Tianci He ⋅ Yali Liao ⋅ Yixiao Tian ⋅ Jinpeng Wang ⋅ Zaiyuan Wang ⋅ YangYang ⋅ Lingyue Yin ⋅ Mingren Yin ⋅ Zhu Zhenwei ⋅ Tianle Cai ⋅ Xinjie Chen ⋅ Zehui Chen ⋅ Jiecao Chen ⋅ Yantao Du ⋅ Xiang Gao ⋅ Jiacheng Guo ⋅ LIANG HU ⋅ Jianpeng Jiao ⋅ Xiangsheng Li ⋅ Jingkai Liu ⋅ nishuang ⋅ Zhoufutu Wen ⋅ Ge Zhang ⋅ Kaiyuan Zhang ⋅ 周欣 ⋅ Jose Blanchet ⋅ Xipeng Qiu ⋅ Mengdi Wang ⋅ Wenhao Huang

Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting

Zhongjian Qiao ⋅ Jiafei Lyu ⋅ Boxiang Lyu ⋅ Yao Shu ⋅ Siyang Gao ⋅ Shuang Qiu

Causal-Steer: Disentangled Continuous Style Control without Parallel Corpora

Qingsong Wang ⋅ Chang Yao ⋅ Jingyuan Chen

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching

Guinan Su ⋅ Li Shen ⋅ Lu Yin ⋅ Shiwei Liu ⋅ Yanwu Yang ⋅ Jonas Geiping

VideoAgentTrek: Computer-Use Pretraining from Unlabeled Videos

Dunjie Lu ⋅ Yiheng Xu ⋅ Junli Wang ⋅ Haoyuan Wu ⋅ Xinyuan Wang ⋅ Zekun Wang ⋅ Junlin Yang ⋅ Hongjin SU ⋅ Jixuan Chen ⋅ Junda Chen ⋅ Yuchen Mao ⋅ Junyang Lin ⋅ Binyuan Hui ⋅ Tao Yu

Landing with the Score: Riemannian Optimization through Denoising

Andrey Kharitenko ⋅ Zebang Shen ⋅ Riccardo De Santi ⋅ Niao He ⋅ Florian Dorfler

The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward

Long Li ⋅ Zhijian Zhou ⋅ JIARAN HAO ⋅ Jason Liu ⋅ Yanting Miao ⋅ Wei Pang ⋅ Xiaoyu Tan ⋅ Wei Chu ⋅ Zhe Wang ⋅ Shirui Pan ⋅ Chao Qu ⋅ Yuan Qi

Attack-Resistant Watermarking for AIGC Image Forensics via Diffusion-based Semantic Deflection

Qingyu Liu ⋅ Yitao Zhang ⋅ Zhongjie Ba ⋅ Chao Shuai ⋅ Peng Cheng ⋅ Tianhang Zheng ⋅ Zhibo Wang

Neologism Learning for Controllability and Self-Verbalization

John Hewitt ⋅ Oyvind Tafjord ⋅ Robert Geirhos ⋅ Been Kim

Cascadia: An Efficient Cascade Serving System for Large Language Models

YOUHE JIANG ⋅ Fangcheng Fu ⋅ Wanru Zhao ⋅ Stephan Rabanser ⋅ Jintao Zhang ⋅ Nic Lane ⋅ Binhang Yuan

Echoes as Anchors: Probabilistic Costs and Attention Refocusing in LLM Reasoning

Zhuoyuan Hao ⋅ Zhuo Li ⋅ Wu Li ⋅ Fangming Liu ⋅ Min Zhang ⋅ Jing Li

ScalingCache: Extreme Acceleration of DiTs through Difference Scaling and Dynamic Interval Caching

Lihui Gu ⋅ Jingbin He ⋅ Lianghao Su ⋅ Kang He ⋅ Wenxiao Wang ⋅ Yuliang Liu

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models

Jianke Zhang ⋅ Xiaoyu Chen ⋅ Yanjiang Guo ⋅ Yucheng Hu ⋅ Jianyu Chen

Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs

Kan Zhu ⋅ Tian Tang ⋅ Qinyu Xu ⋅ Zhan Jin ⋅ Yile Gu ⋅ Zhichen Zeng ⋅ Rohan Kadekodi ⋅ Liangyu Zhao ⋅ Ang Li ⋅ Arvind Krishnamurthy ⋅ Baris Kasikci

Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models

Leander Girrbach ⋅ Stephan Alaniz ⋅ Genevieve Smith ⋅ trevor darrell ⋅ Zeynep Akata

The Forecast After the Forecast: A Post-Processing Shift in Time Series

Daojun Liang ⋅ Qi Li ⋅ Yinglong Wang ⋅ Jing Chen ⋅ Hu Zhang ⋅ Xiaoxiao Cui ⋅ Qizheng Wang ⋅ Shuo Li

Mango-GS: Enhancing Spatio-Temporal Consistency in Dynamic Scenes Reconstruction using Multi-Frame Node-Guided 4D Gaussian Splatting

Tingxuan Huang ⋅ Haowei Zhu ⋅ Jun-Hai Yong ⋅ Hao Pan ⋅ Bin Wang

One Patch Doesn’t Fit All: Adaptive Patching for Native-Resolution Multimodal Large Language Models

Wenzhuo Liu ⋅ Weijie Yin ⋅ Fei Zhu ⋅ Shijie Ma ⋅ Haiyang Guo ⋅ Yi Chen ⋅ Xiao-Hui Li ⋅ Xiao Liang ⋅ Chao Feng ⋅ Cheng-lin Liu

To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models

Jiayun Luo ⋅ Wan-Cyuan (Chris) Fan ⋅ Lyuyang Wang ⋅ Xiangteng He ⋅ Tanzila Rahman ⋅ Purang Abolmaesumi ⋅ Leonid Sigal

Estimating Worst-Case Frontier Risks of Open-Weight LLMs

Eric Wallace ⋅ Olivia Watkins ⋅ Miles Wang ⋅ Kai Chen ⋅ Chris Koch

Are we measuring oversmoothing in graph neural networks correctly?

Kaicheng Zhang ⋅ Piero Deidda ⋅ Desmond Higham ⋅ Francesco Tudisco

Test-Time Optimization of 3D Point Cloud LLM via Manifold-Aware In-Context Guidance and Refinement

Tiankai Chen ⋅ Nanqing Liu ⋅ Li Yang ⋅ xulei yang ⋅ Tianrui Li ⋅ Xun Xu

A High Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation

Yukang Feng ⋅ Jianwen Sun ⋅ Chuanhao Li ⋅ Zizhen Li ⋅ Jiaxin Ai ⋅ Fanrui Zhang ⋅ Sizhuo Zhou ⋅ Yifan Chang ⋅ Shenglin Zhang ⋅ Yu Dai ⋅ Kaipeng Zhang

The Natural Geometry of Code: Hyperbolic Representation Learning for Program Reasoning

Weilin Zhou

DefensiveKV: Taming the Fragility of KV Cache Eviction in LLM Inference

yuan feng ⋅ Haoyu Guo ⋅ Junlin Lv ⋅ S Kevin Zhou ⋅ Xike Xie

SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling

Elisabetta Fedele ⋅ Francis Engelmann ⋅ Ian Huang ⋅ Or Litany ⋅ Marc Pollefeys ⋅ Leonidas Guibas

An Improved Model-free Decision-estimation Coefficient with Applications in Adversarial MDPs

Haolin Liu ⋅ Chen-Yu Wei ⋅ Julian Zimmert

Interleaving Reasoning for Better Text-to-Image Generation

Wenxuan Huang ⋅ Shuang Chen ⋅ Zheyong Xie ⋅ Shaosheng Cao ⋅ SHIXIANG TANG ⋅ Yufan Shen ⋅ Qingyu Yin ⋅ Wenbo Hu ⋅ Xiaoman Wang ⋅ Yuntian Tang ⋅ Junbo Qiao ⋅ Hangyu Guo ⋅ Yao Hu ⋅ Zhenfei Yin ⋅ Philip Torr ⋅ Yu Cheng ⋅ Wanli Ouyang ⋅ Shaohui Lin

CoAct-1: Computer-using Multi-agent System with Coding Actions

Linxin Song ⋅ Yutong Dai ⋅ Viraj Prabhu ⋅ Jieyu Zhang ⋅ Taiwei Shi ⋅ Li Li ⋅ Junnan Li ⋅ silvio savarese ⋅ Zeyuan Chen ⋅ Jieyu Zhao ⋅ Ran Xu ⋅ Caiming Xiong

Recurrent Action Transformer with Memory

Egor Cherepanov ⋅ Aleksei Staroverov ⋅ Alexey Kovalev ⋅ Aleksandr Panov

From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones

Lifan Yuan ⋅ Weize Chen ⋅ Yuchen Zhang ⋅ Ganqu Cui ⋅ Hanbin Wang ⋅ Ziming You ⋅ Ning Ding ⋅ Zhiyuan Liu ⋅ Maosong Sun ⋅ Hao Peng

Overtone: Cyclic Patch Modulation for Clean, Efficient, and Flexible Physics Emulators

Payel Mukhopadhyay ⋅ Michael McCabe ⋅ Ruben Ohana ⋅ Miles Cranmer

Modeling the Density of Pixel-level Self-supervised Embeddings for Unsupervised Pathology Segmentation in Medical CT

Mikhail Goncharov ⋅ Eugenia Soboleva ⋅ Daniil Ignatyev ⋅ Mariia Donskova ⋅ Mikhail Belyaev ⋅ Ivan Oseledets ⋅ Marina Munkhoeva ⋅ Maxim Panov

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization

Ali Behrouz ⋅ Meisam Razaviyayn ⋅ Peilin Zhong ⋅ Vahab Mirrokni

EVLP: Learning Unified Embodied Vision-Language Planner with Reinforced Supervised Fine-Tuning

xinyan cai ⋅ Qiang Guan ⋅ Shiguang Wu ⋅ DaFeng Chi ⋅ Yuzheng Zhuang ⋅ Xingyue Quan ⋅ Jianye Hao

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling

Jacob Helwig ⋅ Sai Adavi ⋅ Xuan Zhang ⋅ Yuchao Lin ⋅ Felix S Chim ⋅ Luke Vizzini ⋅ Haiyang Yu ⋅ Muhammad Hasnain ⋅ Saykat Biswas ⋅ John Holloway ⋅ Narendra Singh ⋅ N. Anand ⋅ Swagnik Guhathakurta ⋅ Shuiwang Ji

THE END OF MANUAL DECODING: TOWARDS TRULY END-TO-END LANGUAGE MODELS

Zhichao Wang ⋅ Dongyang Ma ⋅ Xinting Huang ⋅ Deng Cai ⋅ Tian Lan ⋅ Jiahao Xu ⋅ Haitao Mi ⋅ Xiaoying Tang ⋅ Yan Wang

Inference-time scaling of diffusion models through classical search

XiangCheng Zhang ⋅ Haowei Lin ⋅ Haotian Ye ⋅ James Y Zou ⋅ Jianzhu Ma ⋅ Yitao Liang ⋅ Yilun Du

Tree Search for LLM Agent Reinforcement Learning

Yuxiang Ji ⋅ Ziyu Ma ⋅ Yong Wang ⋅ Guanhua Chen ⋅ Xiangxiang Chu ⋅ Liaoni Wu

MedGMAE: Gaussian Masked Autoencoders for Medical Volumetric Representation Learning

Xueming Fu ⋅ Fenghe Tang ⋅ Rongsheng Wang ⋅ Yingtai Li ⋅ Lixia Han ⋅ Jian Lu ⋅ Zihang Jiang ⋅ S Kevin Zhou

ATTS: Asynchronous Test-Time Scaling via Conformal Prediction

Jing Xiong ⋅ Qiujiang Chen ⋅ Fanghua Ye ⋅ Zhongwei Wan ⋅ Chuanyang Zheng ⋅ Chenyang Zhao ⋅ Hui Shen ⋅ Alexander Hanbo Li ⋅ Chaofan Tao ⋅ Haochen Tan ⋅ Haoli Bai ⋅ Lifeng Shang ⋅ Lingpeng Kong ⋅ Ngai Wong

Temporal Geometry of Deep Networks: Hyperbolic Representations of Training Dynamics for Intrinsic Explainability

Ambarish Moharil

Post-Training Quantization for Video Matting

Tianrui Zhu ⋅ Houyuan Chen ⋅ Ruihao Gong ⋅ Michele Magno ⋅ Haotong Qin ⋅ Kai Zhang

DP-Fusion: Token-Level Differentially Private Inference for Large Language Models

Rushil Thareja ⋅ Preslav Nakov ⋅ Praneeth Vepakomma ⋅ Nils Lukas

Discrete Adjoint Matching

Oswin So ⋅ Brian Karrer ⋅ Chuchu Fan ⋅ Ricky T. Q. Chen ⋅ Guan-Horng Liu

Feature compression is the root cause of adversarial fragility in neural networks

Jingchao Gao ⋅ Ziqing Lu ⋅ Raghu Mudumbai ⋅ Xiaodong Wu ⋅ Jirong Yi ⋅ Myung Cho ⋅ Catherine Xu ⋅ Hui Xie ⋅ Weiyu Xu

Fresh in memory: Training-order recency is linearly encoded in language model activations

Dmitrii Krasheninnikov ⋅ Richard E Turner ⋅ David Krueger

VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution

Yixuan Zhu ⋅ Shilin Ma ⋅ Haolin Wang ⋅ Ao Li ⋅ Yanzhe Jing ⋅ Yansong Tang ⋅ Lei Chen ⋅ Jiwen Lu ⋅ Jie Zhou

SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration

Ye Li ⋅ Yuan Meng ⋅ Zewen Sun ⋅ Kangye Ji ⋅ Chen Tang ⋅ Jiajun Fan ⋅ Xinzhu Ma ⋅ Shu-Tao Xia ⋅ Zhi Wang ⋅ Wenwu Zhu

Can Vision–Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective.

Ruichuan An ⋅ Shizhao Sun ⋅ Danqing Huang ⋅ Mingxi Cheng ⋅ Yan Gao ⋅ Ji Li ⋅ YU QIAO ⋅ Jiang Bian

Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers

Nico Pelleriti ⋅ Christoph Spiegel ⋅ Shiwei Liu ⋅ David Martinez-Rubio ⋅ Max Zimmer ⋅ Sebastian Pokutta

Learning to Reason without External Rewards

Xuandong Zhao ⋅ Zhewei Kang ⋅ Aosong Feng ⋅ Sergey Levine ⋅ Dawn Song

Enhancing Geometric Perception in VLMs via Translator-Guided Reinforcement Learning

Hao Yu ⋅ Shuning Jia ⋅ Guanghao Li ⋅ Wenhao Jiang ⋅ Chun Yuan

CryoNet.Refine: A One-step Diffusion Model for Rapid Refinement of Structural Models with Cryo-EM Density Map Restraints

Fuyao Huang ⋅ Xiaozhu Yu ⋅ Kui Xu ⋅ Qiangfeng Zhang

JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence

Qiushi Sun ⋅ Jingyang Gong ⋅ Yang Liu ⋅ Qiaosheng Chen ⋅ Lei Li ⋅ Kai Chen ⋅ Qipeng Guo ⋅ Ben Kao ⋅ Fei Yuan

Building a Foundational Guardrail for General Agentic Systems via Synthetic Data

Yue Huang ⋅ Hang Hua ⋅ Yujun Zhou ⋅ Pengcheng Jing ⋅ Manish Nagireddy ⋅ Inkit Padhi ⋅ Greta Dolcetti ⋅ Zhangchen Xu ⋅ Subhajit Chaudhury ⋅ Ambrish Rawat ⋅ Liubov Nedoshivina ⋅ Pin-Yu Chen ⋅ Prasanna Sattigeri ⋅ Xiangliang Zhang

UrbanGS: Efficient and Scalable Architecture for Geometrically Accurate Large-Scene Reconstruction

Changbai Li ⋅ Haodong Zhu ⋅ Hanlin Chen ⋅ Xiuping Liang ⋅ Tongfei Chen ⋅ Shuwei Shao ⋅ Linlin Yang ⋅ Huobin Tan ⋅ Baochang Zhang

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs

Caorui Li ⋅ Yu Chen ⋅ Yiyan Ji ⋅ Jin Xu ⋅ Zhenyu Cui ⋅ Shihao Li ⋅ Yuanxing Zhang ⋅ Zhenghao Song ⋅ Dingling Zhang ⋅ Ying He ⋅ Haoxiang Liu ⋅ Yuxuan Wang ⋅ Qiufeng Wang ⋅ Jiafu Tang ⋅ Zhenhe Wu ⋅ Jiehui Luo ⋅ Zhiyu Pan ⋅ Weihao Xie ⋅ Chenchen Zhang ⋅ Zhaohui Wang ⋅ Jiayi Tian ⋅ Yanghai Wang ⋅ Zhe Cao ⋅ Minxin Dai ⋅ Ke Wang ⋅ Runzhe Wen ⋅ Yinghao MA ⋅ Yaning Pan ⋅ Sungkyun Chang ⋅ Termeh Taheri ⋅ Haiwen Xia ⋅ Christos Plachouras ⋅ Emmanouil Benetos ⋅ Yizhi Li ⋅ Ge Zhang ⋅ Jian Yang ⋅ Tianhao Peng ⋅ zili wang ⋅ Minghao Liu ⋅ Junran Peng ⋅ Zhaoxiang Zhang ⋅ JIAHENG LIU

Adaptive Hopfield Network: Rethinking Similarities in Associative Memory

Shurong Wang ⋅ Yuqi Pan ⋅ Zhuoyang Shen ⋅ Meng Zhang ⋅ Hongwei Wang ⋅ Guoqi Li

Sim2Real VLA: Zero-Shot Generalization of Synthesized Skills to Realistic Manipulation

Runyi Zhao ⋅ Sheng Xu ⋅ Ruixing Jin ⋅ Yueci Deng ⋅ Yunxin Tai ⋅ Kui Jia ⋅ Guiliang Liu

TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models

Yue Huang ⋅ Chujie Gao ⋅ Siyuan Wu ⋅ Haoran Wang ⋅ Xiangqi Wang ⋅ Jiayi Ye ⋅ Yujun Zhou ⋅ Yanbo Wang ⋅ Jiawen Shi ⋅ Qihui Zhang ⋅ Han Bao ⋅ Zhaoyi Liu ⋅ Yuan Li ⋅ Tianrui Guan ⋅ Peiran Wang ⋅ Haomin Zhuang ⋅ Dongping Chen ⋅ Kehan Guo ⋅ Andy Zou ⋅ Bryan Hooi ⋅ Caiming Xiong ⋅ Elias Stengel-Eskin ⋅ Hongyang Zhang ⋅ Hongzhi Yin ⋅ Huan Zhang ⋅ Huaxiu Yao ⋅ Jieyu Zhang ⋅ Jaehong Yoon ⋅ Kai Shu ⋅ Ranjay Krishna ⋅ Swabha Swayamdipta ⋅ Weijia Shi ⋅ Xiang Li ⋅ Yuexing Hao ⋅ Zhihao Jia ⋅ Zhize Li ⋅ Xiuying Chen ⋅ Zhengzhong Tu ⋅ Xiyang Hu ⋅ Tianyi Zhou ⋅ Jieyu Zhao ⋅ Lichao Sun ⋅ Furong Huang ⋅ Or Cohen-Sasson ⋅ Prasanna Sattigeri ⋅ Anka Reuel ⋅ Max Lamparth ⋅ Yue Zhao ⋅ Nouha Dziri ⋅ Yu Su ⋅ Huan Sun ⋅ Heng Ji ⋅ Chaowei Xiao ⋅ Mohit Bansal ⋅ Nitesh Chawla ⋅ Jian Pei ⋅ Jianfeng Gao ⋅ Michael Backes ⋅ Philip Yu ⋅ Neil Gong ⋅ Pin-Yu Chen ⋅ Bo Li ⋅ Dawn Song ⋅ Xiangliang Zhang

UniVideo: Unified Understanding, Generation, and Editing for Videos

Cong Wei ⋅ Quande Liu ⋅ Zixuan Ye ⋅ Qiulin Wang ⋅ Xintao WANG ⋅ Pengfei Wan ⋅ Kun Gai ⋅ Wenhu Chen

Deconstructing Positional Information: From Attention Logits to Training Biases

Zihan Gu ⋅ Ruoyu Chen ⋅ Han Zhang ⋅ Hua Zhang ⋅ Yue Hu

Tractability via Low Dimensionality: The Parameterized Complexity of Training Quantized Neural Networks

Robert Ganian ⋅ Frank Sommer ⋅ Manuel Sorge

Referring Layer Decomposition

Fangyi Chen ⋅ Yaojie Shen ⋅ Lu Xu ⋅ Ye Yuan ⋅ Shu Zhang ⋅ Yulei Niu ⋅ Longyin Wen

Micro-Macro Retrieval: Reducing Long-Form Hallucination in Large Language Models

Yujie Feng ⋅ Jian Li ⋅ Zhihan Zhou ⋅ Pengfei Xu ⋅ Yujia Zhang ⋅ xiaoyu li ⋅ Xiaohui Zhou ⋅ Alan Zhao ⋅ Xi Chen ⋅ Xiao-Ming Wu

Why Less is More (Sometimes): A Theory of Data Curation

Elvis Dohmatob ⋅ Mohammad Pezeshki ⋅ Reyhane Askari Hemmat

DreamPhase: Offline Imagination and Uncertainty-Guided Planning for Large-Language-Model Agents

Shayan Mohajer Hamidi ⋅ Linfeng Ye ⋅ Konstantinos Plataniotis

RL's Razor: Why Online Reinforcement Learning Forgets Less

Idan Shenfeld ⋅ Jyothish Pari ⋅ Pulkit Agrawal

Neural Message-Passing on Attention Graphs for Hallucination Detection

Fabrizio Frasca ⋅ Guy Bar-Shalom ⋅ Yftah Ziser ⋅ Haggai Maron

Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis

Tyler Farghly ⋅ Patrick Rebeschini ⋅ George Deligiannidis ⋅ Arnaud Doucet

Step-Aware Residual-Guided Diffusion for EEG Spatial Super-Resolution

Hongjun Liu ⋅ Leyu Zhou ⋅ Zijianghao Yang ⋅ Chao Yao

From Gradient Volume to Shapley Fairness: Towards Fair Multi-Task Learning

Xiao Wang ⋅ Yuying Han ⋅ Dazi Li ⋅ Fei Zhang ⋅ Min Tang

Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations

William Sharpless ⋅ Dylan Hirsch ⋅ Sander Tonkens ⋅ Nikhil Shinde ⋅ Sylvia Herbert

StreamingThinker: Large Language Models Can Think While Reading

Junlong Tong ⋅ Yingqi Fan ⋅ Anhao Zhao ⋅ Yunpu Ma ⋅ Xiaoyu Shen

A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models

Jinyi Han ⋅ Xinyi Wang ⋅ Haiquan Zhao ⋅ tingyun li ⋅ Zishang Jiang ⋅ Sihang Jiang ⋅ Jiaqing Liang ⋅ Xin Lin ⋅ Weikang Zhou ⋅ Zeye Sun ⋅ Fei Yu ⋅ Yanghua Xiao

Misalignments and RL Failure Modes in the Early Stage of Superintelligence

Shu Yang ⋅ Hanqi Yan ⋅ Di Wang

Computer Use Survey - A Visual Survey of Computer Use Agents

Kenneth Marino ⋅ Farhan Ishmam ⋅ Ana Marasovic

Model Tensor Planning

Model Tensor Planning Download PDF An Thai Le · Khai Nguyen · Minh Nhat VU · Joao Carvalho · Jan Peters

PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans

Giang Nguyen · Valerie Chen · Mohammad Reza Taesiri · Anh Totti Nguyen

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Poster

Poster Session 6 Pavilion 4

3:15 PM - 5:45 PM

374 Events in this session

Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model

Anirud Aggarwal ⋅ Abhinav Shrivastava ⋅ Matthew Gwilliam

Joint Shadow Generation and Relighting via Light-Geometry Interaction Maps

Shan Wang ⋅ Peixia Li ⋅ Chenchen Xu ⋅ Ziang Cheng ⋅ Jiayu Yang ⋅ Hongdong Li ⋅ Pulak Purkait

ReactID: Synchronizing Realistic Actions and Identity in Personalized Video Generation

Wei Li ⋅ Yiheng Zhang ⋅ Fuchen Long ⋅ Zhaofan Qiu ⋅ Ting Yao ⋅ Xiaoyan Sun ⋅ Tao Mei

Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective

Hangjie Yuan ⋅ Weihua Chen ⋅ Jun CEN ⋅ Hu Yu ⋅ Jingyun Liang ⋅ Shuning Chang ⋅ Zhihui Lin ⋅ Tao Feng ⋅ Pengwei Liu ⋅ Jiazheng Xing ⋅ Hao Luo ⋅ Jiasheng Tang ⋅ Fan Wang ⋅ Yi Yang

MotionStream: Real-Time Video Generation with Interactive Motion Controls

Joonghyuk Shin ⋅ Zhengqi Li ⋅ Richard Zhang ⋅ Jun-Yan Zhu ⋅ Jaesik Park ⋅ Eli Shechtman ⋅ Xun Huang

Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization

Tong Shao ⋅ Yusen Fu ⋅ Guoying Sun ⋅ Jingde Kong ⋅ Zhuotao Tian ⋅ Jingyong Su

DiCache: Let Diffusion Model Determine Its Own Cache

Jiazi Bu ⋅ Pengyang Ling ⋅ Yujie Zhou ⋅ Yibin Wang ⋅ Yuhang Zang ⋅ Dahua Lin ⋅ Jiaqi Wang

Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization

Yifan Chang ⋅ Jie Qin ⋅ Limeng Qiao ⋅ Xiaofeng Wang ⋅ Zheng Zhu ⋅ Lin Ma ⋅ Xingang Wang

Anchor Frame Bridging for Coherent First-Last Frame Video Generation

Xuehan Hou ⋅ Meng Fan ⋅ Pengchong Qiao ⋅ Rat Cheng ⋅ Yian Zhao ⋅ Lei Zhu ⋅ Kaiwen Cheng ⋅ Chang Liu ⋅ Jie Chen

Group Critical-token Policy Optimization for Autoregressive Image Generation

Guohui Zhang ⋅ Hu Yu ⋅ Xiaoxiao Ma ⋅ JingHao Zhang ⋅ Yaning Pan ⋅ Mingde Yao ⋅ Jie Xiao ⋅ Linjiang Huang ⋅ Jie Huang ⋅ Feng Zhao

HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models

Seyedmorteza Sadat ⋅ Farnood Salehi ⋅ Romann Weber

EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning

Continuous Space-Time Video Super-Resolution with 3D Fourier Fields

Alexander Becker ⋅ Julius Erbach ⋅ Dominik Narnhofer ⋅ Konrad Schindler

SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models

Ouxiang Li ⋅ Yuan Wang ⋅ Xinting Hu ⋅ Houcheng Jiang ⋅ Jack tao ⋅ Yanbin Hao ⋅ James Ma ⋅ Fuli Feng

SPRINT: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers

Dogyun Park ⋅ Moayed Haji-Ali ⋅ Yanyu Li ⋅ Willi Menapace ⋅ Sergey Tulyakov ⋅ Hyunwoo Kim ⋅ Aliaksandr Siarohin ⋅ Anil Kag

QVGen: Pushing the Limit of Quantized Video Generative Models

Yushi Huang ⋅ Ruihao Gong ⋅ Jing Liu ⋅ Yifu Ding ⋅ Chengtao Lv ⋅ Haotong Qin ⋅ Jun Zhang

Stable Video Infinity: Infinite-Length Video Generation with Error Recycling

Wuyang Li ⋅ Wentao Pan ⋅ Po-Chien Luan ⋅ Yang Gao ⋅ Alexandre Alahi

Arbitrary-Shaped Image Generation via Spherical Neural Field Diffusion

Jiyuan Xia ⋅ Yuanshen Guan ⋅ Ruikang Xu ⋅ Zhiwei Xiong

Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling

Haoyu Wu ⋅ Diankun Wu ⋅ Tianyu He ⋅ Junliang Guo ⋅ Yang Ye ⋅ Yueqi Duan ⋅ Jiang Bian

SpeakerVid-5M: A Large-Scale High-Quality Dataset for Audio-Visual Dyadic Interactive Human Generation

Youliang Zhang ⋅ Zhaoyang Li ⋅ Duomin Wang ⋅ jiahe zhang ⋅ Deyu Zhou ⋅ Zixin Yin ⋅ Xili Dai ⋅ Gang Yu ⋅ Xiu Li

Trajectory-aware Shifted State Space Models for Online Video Super-Resolution

Qiang Zhu ⋅ Xiandong MENG ⋅ Yuxuan Jiang ⋅ Fan Zhang ⋅ David Bull ⋅ Shuyuan Zhu ⋅ Bing Zeng ⋅ Ronggang Wang

TS-Attn: Temporal-wise Separable Attention for Multi-Event Video Generation

Hongyu Zhang ⋅ Yufan Deng ⋅ Zilin Pan ⋅ Peng-Tao Jiang ⋅ Bo Li ⋅ Qibin Hou ⋅ Zhen Dong ⋅ Zhiyang Dou ⋅ Zhou Daquan

LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence

Zixin Yin ⋅ Xili Dai ⋅ Duomin Wang ⋅ Xianfang Zeng ⋅ Lionel Ni ⋅ Gang Yu ⋅ Heung-Yeung Shum

WILD-Diffusion: A WDRO Inspired Training Method for Diffusion Models under Limited Data

Xianglu Wang ⋅ Wanlin Zhang ⋅ Hu Ding

Controllable Video Generation with Provable Disentanglement

Yifan Shen ⋅ Peiyuan Zhu ⋅ Zijian Li ⋅ Shaoan Xie ⋅ Namrata Deka ⋅ Zongfang Liu ⋅ Zeyu Tang ⋅ Guangyi Chen ⋅ Kun Zhang

Unified 3D Scene Understanding Through Physical World Modeling

Wanhee Lee ⋅ Klemen Kotar ⋅ Rahul Venkatesh ⋅ Jared Watrous ⋅ Honglin Chen ⋅ Khai Loong Aw ⋅ Daniel Yamins

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation

Han Song ⋅ Yucheng Zhou ⋅ Jianbing Shen ⋅ Yu Cheng

Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer

Zixin Yin ⋅ Xili Dai ⋅ Ling-Hao Chen ⋅ Deyu Zhou ⋅ Jianan Wang ⋅ Duomin Wang ⋅ Gang Yu ⋅ Lionel Ni ⋅ Lei Zhang ⋅ Heung-Yeung Shum

PI-Light: Physics-Inspired Diffusion for Full-Image Relighting

Zhexin Liang ⋅ Zhaoxi Chen ⋅ Yongwei Chen ⋅ Tianyi Wei ⋅ Tengfei Wang ⋅ Xingang Pan

Factuality Matters: When Image Generation and Editing Meet Structured Visuals

Le Zhuo ⋅ Songhao Han ⋅ Yuandong Pu ⋅ Boxiang Qiu ⋅ Sayak Paul ⋅ Yue Liao ⋅ Yihao Liu ⋅ Jie Shao ⋅ Xi Chen ⋅ Si Liu ⋅ Hongsheng Li

RegionE: Adaptive Region-Aware Generation for Efficient Image Editing

Pengtao Chen ⋅ Xianfang Zeng ⋅ Maosen Zhao ⋅ Mingzhu Shen ⋅ Peng Ye ⋅ Bangyin Xiang ⋅ Zhibo Wang ⋅ Wei Cheng ⋅ Gang Yu ⋅ Tao Chen

Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening

Wooseok Jeon ⋅ Seunghyun Shin ⋅ Dongmin Shin ⋅ Hae-Gon Jeon

SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model

Dongli Xu ⋅ Aleksei Tiulpin ⋅ Matthew Blaschko

TPDiff: Temporal Pyramid Video Diffusion Model

Lingmin Ran ⋅ Mike Zheng Shou

FastGHA: Generalized Few-Shot 3D Gaussian Head Avatars with Real-Time Animation

Xinya Ji ⋅ Sebastian Weiss ⋅ Manuel Kansy ⋅ Jacek Naruniec ⋅ Xun Cao ⋅ Barbara Solenthaler ⋅ Derek Bradley

PreciseCache: Precise Feature Caching for Efficient and High-fidelity Video Generation

Jiangshan Wang ⋅ Kang Zhao ⋅ Jiayi Guo ⋅ Jiayu Wang ⋅ Hang Guo ⋅ Chenyang Zhu ⋅ Xiu Li ⋅ Xiangyu Yue

Test-Time Iterative Error Correction for Efficient Diffusion Models

Yunshan Zhong ⋅ Weiqi Yan ⋅ Yuxin Zhang

CoDi: Subject-Consistent and Pose-Diverse Text-to-Image Generation

Zhanxin Gao ⋅ Beier Zhu ⋅ Liangyao ⋅ Jian Yang ⋅ Ying Tai

Video-As-Prompt: Unified Semantic Control for Video Generation

Yuxuan Bian ⋅ Xin Chen ⋅ Zenan Li ⋅ Tiancheng Zhi ⋅ Shen Sang ⋅ Linjie Luo ⋅ Qiang Xu

Instilling an Active Mind in Avatars via Cognitive Simulation

Jianwen Jiang ⋅ Weihong Zeng ⋅ Zerong Zheng ⋅ Jiaqi Yang ⋅ Chao Liang ⋅ Wang Liao ⋅ Han Liang ⋅ Weifeng Chen ⋅ XING WANG ⋅ Yuan Zhang ⋅ Mingyuan Gao

Latent Wavelet Diffusion For Ultra High-Resolution Image Synthesis

Luigi Sigillo ⋅ Shengfeng He ⋅ Danilo Comminiello

One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs

Yuanzhi Zhu ⋅ Ruiqing Wang ⋅ Shilin Lu ⋅ Hanshu YAN ⋅ Junnan Li ⋅ Kai Zhang

Disentangled Hierarchical VAE for 3D Human-Human Interaction Generation

Zichen Geng ⋅ Zeeshan Hayder ⋅ Bo Miao ⋅ Jian Liu ⋅ Wei Liu ⋅ Ajmal Mian

Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals

Davide Lobba ⋅ Fulvio Sanguigni ⋅ Bin Ren ⋅ Marcella Cornia ⋅ Rita Cucchiara ⋅ Nicu Sebe

TreeGRPO: Tree-Advantage GRPO for Online RL Post-Training of Diffusion Models

Zheng Ding ⋅ Weirui Ye

CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow-Map Models

Zheyuan Hu ⋅ Chieh-Hsin Lai ⋅ Yuki Mitsufuji ⋅ Stefano Ermon

Charts Are Not Images: On the Challenges of Scientific Chart Editing

Li Li ⋅ Ryan Rossi ⋅ Sungchul Kim ⋅ Sunav Choudhary ⋅ Franck Dernoncourt ⋅ Puneet Mathur ⋅ Zhengzhong Tu ⋅ Yue Zhao

DSA: Efficient Inference For Video Generation Models via Distributed Sparse Attention

Shenggui Li ⋅ Runyu Lu ⋅ qiaoling chen ⋅ Haiyan Yin ⋅ YUEMING LYU ⋅ Yonggang Wen ⋅ Ivor Tsang ⋅ Tianwei Zhang

Geometric Image Editing via Effects-Sensitive In-Context Inpainting with Diffusion Transformers

Shuo Zhang ⋅ Wenzhuo Wu ⋅ Huayu Zhang ⋅ Cheng Jiarong ⋅ Xianghao Zang ⋅ Chao Ban ⋅ Hao Sun ⋅ Zhongjiang He ⋅ Tianwei Cao ⋅ Kongming Liang ⋅ Zhanyu Ma

Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation

Min-Seop Kwak ⋅ Junho Kim ⋅ Sangdoo Yun ⋅ Dongyoon Han ⋅ Taekyung Kim ⋅ Seungryong Kim ⋅ Jin-Hwa Kim

SimULi: Real-Time LiDAR and Camera Simulation with Unscented Transforms

Haithem Turki ⋅ Qi Wu ⋅ Xin Kang ⋅ Janick Martinez Esturo ⋅ Shengyu Huang ⋅ Ruilong Li ⋅ Zan Gojcic ⋅ Riccardo de Lutio

STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer

Yushi LAN ⋅ Yihang Luo ⋅ Fangzhou Hong ⋅ Shangchen Zhou ⋅ Honghua Chen ⋅ Zhaoyang Lyu ⋅ Bo DAI ⋅ Shuai Yang ⋅ Chen Change Loy ⋅ Xingang Pan

QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models

Jian Liu ⋅ Chunshi Wang ⋅ Song Guo ⋅ Haohan Weng ⋅ Zhen Zhou ⋅ Zhiqi Li ⋅ Jiaao Yu ⋅ Yiling Zhu ⋅ Jing Xu ⋅ Biwen Lei ⋅ Zhuo Chen ⋅ Chunchao Guo

From Tokens to Nodes: Semantic-Guided Motion Control for Dynamic 3D Gaussian Splatting

Jianing Chen ⋅ Zehao Li ⋅ Yujun Cai ⋅ Hao Jiang ⋅ Shuqin Gao ⋅ Honglong Zhao ⋅ Tianlu Mao ⋅ Yucheng Zhang

Scaling Sequence-to-Sequence Generative Neural Rendering

Shikun Liu ⋅ Kam Woh Ng ⋅ Wonbong Jang ⋅ Jiadong Guo ⋅ Junlin Han ⋅ Haozhe Liu ⋅ Yiannis Douratsos ⋅ Juan Perez ⋅ Zijian Zhou ⋅ Khanh Chi Phung ⋅ Tao Xiang ⋅ Juan-Manuel Perez-Rua

Quantized Visual Geometry Grounded Transformer

Weilun Feng ⋅ Haotong Qin ⋅ Mingqiang Wu ⋅ Chuanguang Yang ⋅ Yuqi Li ⋅ Xiangqi Li ⋅ Zhulin An ⋅ Libo Huang ⋅ Yulun Zhang ⋅ Michele Magno ⋅ Yongjun Xu

ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting

Daniel Wang ⋅ Patrick Rim ⋅ Tian Tian ⋅ Dong Lao ⋅ Alex Wong ⋅ Ganesh Sundaramoorthi

Light of Normals: Unified Feature Representation for Universal Photometric Stereo

Houyuan Chen ⋅ Hong Li ⋅ Chongjie Ye ⋅ Zhaoxi Chen ⋅ Bohan Li ⋅ Shaocong Xu ⋅ xianda guo ⋅ Xuhui Liu ⋅ Yikai Wang ⋅ Baochang Zhang ⋅ Satoshi Ikehata ⋅ Boxin Shi ⋅ Anyi Rao ⋅ Hao Zhao

A^2TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene Representation

Sheng-Chi Hsu ⋅ Ting-Yu Yen ⋅ Shih-Hsuan Hung ⋅ Hung-Kuo Chu

Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image

Ming Qian ⋅ Zimin Xia ⋅ Changkun Liu ⋅ Shuailei Ma ⋅ Wen Wang ⋅ Zeran Ke ⋅ Bin Tan ⋅ Hang Zhang ⋅ Gui-Song Xia

IncVGGT: Incremental VGGT for Memory-Bounded Long-Range 3D Reconstruction

Keyu Fang ⋅ Changchun Zhou ⋅ Yuzhe Fu ⋅ Hai Li ⋅ Yiran Chen

Streaming Visual Geometry Transformer

Dong Zhuo ⋅ Wenzhao Zheng ⋅ Jiahe Guo ⋅ Yuqi Wu ⋅ Jie Zhou ⋅ Jiwen Lu

Dynamic Novel View Synthesis in High Dynamic Range

Kaixuan Zhang ⋅ Zhipeng Xiong ⋅ Minxian Li ⋅ Mingwu Ren ⋅ Jiankang Deng ⋅ Xiatian Zhu

S2GO: Streaming Sparse Gaussian Occupancy

Jinhyung Park ⋅ Chensheng Peng ⋅ yihan hu ⋅ Wenzhao Zheng ⋅ Kris Kitani ⋅ Wei Zhan

pySpatial: Generating 3D Visual Programs for Zero-Shot Spatial Reasoning

Zhanpeng Luo ⋅ Ce Zhang ⋅ Silong Yong ⋅ Cunxi Dai ⋅ Qianwei Wang ⋅ Haoxi Ran ⋅ Guanya Shi ⋅ Katia Sycara ⋅ Yaqi Xie

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos

Kejian Zhu ⋅ Zhuoran Jin ⋅ Hongbang Yuan ⋅ Jiachun Li ⋅ Shangqing Tu ⋅ Pengfei Cao ⋅ Yubo Chen ⋅ Kang Liu ⋅ Jun Zhao

ReWatch-R1: Boosting Complex Video Reasoning in Large Vision-Language Models through Agentic Data Synthesis

Congzhi Zhang ⋅ Zhibin Wang ⋅ Yinchao Ma ⋅ Jiawei Peng ⋅ Yihan Wang ⋅ Qiang Zhou ⋅ Jun Song ⋅ Bo Zheng

DTP: Delta-Guided Two Stage Pruning for Mamba-based Multimodal Large Language Models

Seong Yeol Park ⋅ Kwon Min Jung ⋅ XIANGHUA PIAO ⋅ Yeong Hyeon Gu

UniHand: A Unified Model for Diverse Controlled 4D Hand Motion Modeling

Zhihao Sun ⋅ Tong Wu ⋅ Ruirui Tu ⋅ Daoguo Dong ⋅ Zuxuan Wu

FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding

Janghoon Cho ⋅ Jungsoo Lee ⋅ Munawar Hayat ⋅ Kyuwoong Hwang ⋅ Fatih Porikli ⋅ Sungha Choi

iLLaVA: An Image is Worth Fewer Than 1/3 Input Tokens in Large Multimodal Models

Lianyu Hu ⋅ Liqing Gao ⋅ Fanhua Shang ⋅ Liang Wan ⋅ Wei Feng

SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMs

Yuyou Zhang ⋅ Radu Corcodel ⋅ Chiori Hori ⋅ Anoop Cherian ⋅ DING ZHAO

DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking

Weicheng Zheng ⋅ Xiaofei Mao ⋅ Nanfei Ye ⋅ Pengxiang Li ⋅ Kun Zhan ⋅ XianPeng Lang ⋅ Hang Zhao

lmgame-Bench: How Good are LLMs at Playing Games?

Lanxiang Hu ⋅ Mingjia Huo ⋅ Yuxuan Zhang ⋅ Haoyang Yu ⋅ Eric P Xing ⋅ Ion Stoica ⋅ Tajana Rosing ⋅ Haojian Jin ⋅ Hao Zhang

PlantRSR: A New Plant Dataset and Method for Reference-based Super-Resolution

Hongyang Zhou ⋅ Xiaobin Zhu ⋅ Shengxiang Yu ⋅ Liuling Chen ⋅ Jingyan Qin ⋅ Xu-Cheng Yin

OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds

Longrong Yang ⋅ Zhixiong Zeng ⋅ Yufeng Zhong ⋅ Jing Huang ⋅ Liming Zheng ⋅ Lei Chen ⋅ Haibo Qiu ⋅ Zequn Qin ⋅ Lin Ma ⋅ Xi Li

VGR: Visual Grounded Reasoning

Jiacong Wang ⋅ Zijian Kang ⋅ Haochen Wang ⋅ Xiao Liang ⋅ Ya Wang ⋅ Jiawen Li ⋅ Bohong Wu ⋅ Jiao Ran ⋅ Haiyong Jiang ⋅ Chao Feng ⋅ Jun Xiao

Perception-Aware Policy Optimization for Multimodal Reasoning

Zhenhailong Wang ⋅ Xuehang Guo ⋅ Sofia Stoica ⋅ Haiyang Xu ⋅ Hongru WANG ⋅ Hyeonjeong Ha ⋅ Xiusi Chen ⋅ Yangyi Chen ⋅ Ming Yan ⋅ Fei Huang ⋅ Heng Ji

Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks

Qihua Dong ⋅ Kuo Yang ⋅ Lin Ju ⋅ Handong Zhao ⋅ Yitian Zhang ⋅ Yizhou Wang ⋅ Huimin Zeng ⋅ Jianglin Lu ⋅ Yun Fu

Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation

Hongtao Yu ⋅ Yuxin Peng ⋅ Serge Belongie ⋅ Xiu-Shen Wei

Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders

Yizhou WANG ⋅ Song Mao ⋅ Yang Chen ⋅ Yufan Shen ⋅ Pinlong Cai ⋅ Ding Wang ⋅ Guohang Yan ⋅ Zhi Yu ⋅ Yinqiao Yan ⋅ Xuming Hu ⋅ Botian Shi

SCUBA: Salesforce Computer Use Benchmark

Yutong Dai ⋅ Krithika Ramakrishnan ⋅ Jing Gu ⋅ Matthew Fernandez ⋅ Yanqi Luo ⋅ Viraj Prabhu ⋅ Zhenyu Hu ⋅ silvio savarese ⋅ Caiming Xiong ⋅ Zeyuan Chen ⋅ Ran Xu

ExPO-HM: Learning to Explain-then-Detect for Hateful Meme Detection

Jingbiao Mei ⋅ Mingsheng Sun ⋅ Jinghong Chen ⋅ Pengda Qin ⋅ Yuhong Li ⋅ Da Chen ⋅ Bill Byrne

Uncover Underlying Correspondence for Robust Multi-view Clustering

Haochen Zhou ⋅ Guofeng Ding ⋅ Mouxing Yang ⋅ Peng Hu ⋅ Yijie Lin ⋅ Xi Peng

Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models

Jianghao Yin ⋅ Qin Chen ⋅ Kedi Chen ⋅ Jie Zhou ⋅ Xingjiao Wu ⋅ Liang He

AnyUp: Universal Feature Upsampling

Thomas Wimmer ⋅ Prune Truong ⋅ Marie-Julie Rakotosaona ⋅ Michael Oechsle ⋅ Federico Tombari ⋅ Bernt Schiele ⋅ Jan Eric Lenssen

More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language Models

Xinyu Tian ⋅ Shu Zou ⋅ Zhaoyuan Yang ⋅ Mengqi He ⋅ Fabian Waschkowski ⋅ Lukas Wesemann ⋅ Peter Tu ⋅ Jing Zhang

UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding

Yueming Xu ⋅ Jiahui Zhang ⋅ Ze Huang ⋅ Yurui Chen ⋅ Yanpeng Zhou ⋅ Dave Chen ⋅ Yu-Jie Yuan ⋅ Pengxiang Xia ⋅ Guowei Huang ⋅ Xinyue Cai ⋅ Zhongang Qi ⋅ Xingyue Quan ⋅ Jianye Hao ⋅ Hang Xu ⋅ Li Zhang

WIMFRIS: WIndow Mamba Fusion and Parameter Efficient Tuning for Referring Image Segmentation

Seunghun Moon ⋅ Hyunwoo Yu ⋅ Haeuk Lee ⋅ Suk-Ju Kang

InfoDet: A Dataset for Infographic Element Detection

Jiangning Zhu ⋅ Yuxing Zhou ⋅ Zheng Wang ⋅ Juntao Yao ⋅ Yima Gu ⋅ Yuhui Yuan ⋅ Shixia Liu

CLUTCH: Contextualized Language model for Unlocking Text-Conditioned Hand motion modelling in the wild

Balamurugan Thambiraja ⋅ Omid Taheri ⋅ Radek Danecek ⋅ Giorgio Becherini ⋅ Gerard Pons-Moll ⋅ Justus Thies

MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents

Xijia Tao ⋅ Teng Yihua ⋅ Xinxing Su ⋅ Xinyu Fu ⋅ Jihao Wu ⋅ Chaofan Tao ⋅ Ziru Liu ⋅ Haoli Bai ⋅ Rui Liu ⋅ Lingpeng Kong

PoSh: Using Scene Graphs to Guide LLMs-as-a-Judge for Detailed Image Descriptions

Amith Ananthram ⋅ Elias Stengel-Eskin ⋅ Lorena Bradford ⋅ Julia Demarest ⋅ Adam Purvis ⋅ Keith Krut ⋅ Robert Stein ⋅ Rina Pantalony ⋅ Mohit Bansal ⋅ Kathleen McKeown

MRAD: Zero-Shot Anomaly Detection with Memory-Driven Retrieval

Chaoran Xu ⋅ Chengkan Lv ⋅ Qiyu Chen ⋅ Feng Zhang ⋅ Zhengtao Zhang

Faster Vision Transformers with Adaptive Patches

Rohan Choudhury ⋅ JungEun Kim ⋅ Jinhyung Park ⋅ Eunho Yang ⋅ Laszlo A. Jeni ⋅ Kris Kitani

Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping

Dwip Dalal ⋅ Gautam Vashishtha ⋅ Utkarsh Mishra ⋅ Jeonghwan Kim ⋅ Madhav Kanda ⋅ Hyeonjeong Ha ⋅ Svetlana Lazebnik ⋅ Heng Ji ⋅ Unnat Jain

Flatness Guided Test-Time Adaptation for Vision-Language Models

aodi Li ⋅ Liansheng Zhuang ⋅ Xiao Long ⋅ Houqiang Li ⋅ Shafei Wang

MARS - A Foundational Map Auto-Regressor

Qi Zhang ⋅ Suvam Bag ⋅ Rupanjali Kukal ⋅ Mikael Figueroa ⋅ Rishi Madhok ⋅ Nikolaos Karianakis ⋅ Fuxun Yu

FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models

Jiyoon Pyo ⋅ Yuankun Jiao ⋅ Dongwon Jung ⋅ Zekun Li ⋅ Leeje Jang ⋅ Sofia Kirsanova ⋅ Jina Kim ⋅ Yijun Lin ⋅ Qin Liu ⋅ Junyi Xie ⋅ Hadi Askari ⋅ Nan Xu ⋅ Muhao Chen ⋅ Yao-Yi Chiang

ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction

Qineng Wang ⋅ Wenlong Huang ⋅ Yu Zhou ⋅ Hang Yin ⋅ Tianwei Bao ⋅ Jianwen Lyu ⋅ Weiyu Liu ⋅ Ruohan Zhang ⋅ Jiajun Wu ⋅ Li Fei-Fei ⋅ Manling Li

InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models

Nianchen Deng ⋅ Lixin Gu ⋅ Shenglong Ye ⋅ Yinan He ⋅ Zhe Chen ⋅ Songze Li ⋅ Haomin Wang ⋅ Jinhui Yin ⋅ Qi Wei ⋅ Tianshuo Yang ⋅ Min Dou ⋅ Tong He ⋅ Wenqi Shao ⋅ Kaipeng Zhang ⋅ Yi Wang ⋅ Botian Shi ⋅ Yanting Zhang ⋅ Jifeng Dai ⋅ Yu Qiao ⋅ Wenhai Wang ⋅ Hongjie Zhang

RegionReasoner: Region-Grounded Multi-Round Visual Reasoning

Wenfang Sun ⋅ Hao Chen ⋅ Yingjun Du ⋅ Yefeng Zheng ⋅ Cees G Snoek

Knowledge Exchange with Confidence: Cost-Effective LLM Integration for Reliable and Efficient Visual Question Answering

Mahsa Mozaffari ⋅ Hitesh Sapkota ⋅ Xumin Liu ⋅ Qi Yu

VidBridge-R1: Bridging QA and Captioning for RL-based Video Understanding Models with Intermediate Proxy Tasks

Xinlong Chen ⋅ Yuanxing Zhang ⋅ Yushuo Guan ⋅ Weihong Lin ⋅ Zekun Wang ⋅ Bohan Zeng ⋅ Yang Shi ⋅ Sihan Yang ⋅ Qiang Liu ⋅ Pengfei Wan ⋅ Liang Wang

Can Vision-Language Models Answer Face to Face Questions in the Real-World?

Reza Pourreza ⋅ Rishit Dagli ⋅ Apratim Bhattacharyya ⋅ Sunny Panchal ⋅ Guillaume Berger ⋅ Roland Memisevic

Efficient-SAM2: Accelerating SAM2 with Object-Aware Visual Encoding and Memory Retrieval

Jing Zhang ⋅ Zhikai Li ⋅ Xuewen Liu ⋅ Qingyi Gu

Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking

Shengqiong Wu ⋅ Bobo Li ⋅ Xinkai Wang ⋅ Xiangtai Li ⋅ Lei Cui ⋅ Furu Wei ⋅ Shuicheng YAN ⋅ Hao (Scofield) Fei ⋅ Tat-Seng Chua

PromptHub: Enhancing Multi-Prompt Visual In-Context Learning with Locality-Aware Fusion, Concentration and Alignment

Tianci Luo ⋅ Jinpeng Wang ⋅ Shiyu Qin ⋅ Niu Lian ⋅ Yan Feng ⋅ Bin Chen ⋅ Chun Yuan ⋅ Shu-Tao Xia

MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse

Zhenyu Pan ⋅ Han Liu

LearnPruner: Rethinking Attention-based Token Pruning in Vision Language Models

Rinyoichi Takezoe ⋅ Yaqian Li ⋅ Zi-Hao Bo ⋅ Anzhou Hou ⋅ Mo Guang ⋅ Kaiwen Long

LINK: Learning Instance-level Knowledge from Vision-Language Models for Human-Object Interaction Detection

Eastman Z Y Wu ⋅ Ya-Li Li ⋅ Yuan Wang ⋅ Shengjin Wang

Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization

Teng Zhang ⋅ Ziqian Fan ⋅ Mingxin Liu ⋅ Xin Zhang ⋅ Xudong Lu ⋅ Wentong Li ⋅ Yue Zhou ⋅ Yi Yu ⋅ Xiang Li ⋅ Junchi Yan ⋅ Xue Yang

Consolidating Reinforcement Learning for Multimodal Discrete Diffusion Models

Tianren Ma ⋅ Mu Zhang ⋅ Yibing Wang ⋅ Qixiang Ye

ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding

David Ma ⋅ Huaqing Yuan ⋅ Xingjian Wang ⋅ Qianbo ZANG ⋅ Tianci Liu ⋅ Xinyang He ⋅ Yanbin Wei ⋅ Jiawei Guo ⋅ nijiahui ⋅ Zhenzhu Yang ⋅ Meng Cao ⋅ Shanghaoran Quan ⋅ Yizhi Li ⋅ Wangchunshu Zhou ⋅ JIAHENG LIU ⋅ Wenhao Huang ⋅ Ge Zhang ⋅ Shiwen Ni ⋅ Xiaojie Jin

Mixture-of-Visual-Thoughts: Exploring Context-Adaptive Reasoning Mode Selection for General Visual Reasoning

Zejun Li ⋅ Yingxiu Zhao ⋅ Jiwen Zhang ⋅ Siyuan Wang ⋅ Yang Yao ⋅ Runzhou Zhao ⋅ Jun Song ⋅ Bo Zheng ⋅ zhongyu wei

Fostering Video Reasoning via Next-Event Prediction

Haonan Wang ⋅ Hongfu Liu ⋅ Xiangyan Liu ⋅ Chao Du ⋅ Kenji Kawaguchi ⋅ Ye Wang ⋅ Tianyu Pang

UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing

Hao Tang ⋅ Chen-Wei Xie ⋅ Xiaoyi Bao ⋅ Tingyu Weng ⋅ Pandeng Li ⋅ Yun Zheng ⋅ Liwei Wang

TOUCH: Text-guided Controllable Generation of Free-Form Hand-Object Interactions

Guangyi Han ⋅ Wei Zhai ⋅ Yuhang Yang ⋅ Yang Cao ⋅ Zheng-Jun Zha

VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?

Yuanxin Liu ⋅ Kun Ouyang ⋅ Haoning Wu ⋅ Yi Liu ⋅ Lin Sui ⋅ Xinhao Li ⋅ Yan Zhong ⋅ Y.Charles ⋅ Xinyu Zhou ⋅ Xu Sun

GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation

Weijia Dou ⋅ Xu Zhang ⋅ Yi Bin ⋅ Jian Liu ⋅ Bo Peng ⋅ Guoqing Wang ⋅ Yang Yang ⋅ Heng Tao Shen

Sequential Information Bottleneck Fusion: Towards Robust and Generalizable Multi-Modal Brain Tumor Segmentation

TIANYI LIU ⋅ Xi Yang ⋅ Wei Wang ⋅ Anh Nguyen ⋅ Haochuan Jiang ⋅ Kaizhu Huang

Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation

Jinpeng Lu ⋅ Linghan Cai ⋅ Yinda Chen ⋅ Guo Tang ⋅ Songhan Jiang ⋅ Haoyuan Shi ⋅ Zhiwei Xiong

Interaction-aware Representation Modeling With Co-Occurrence Consistency for Egocentric Hand-Object Parsing

Yuejiao Su ⋅ Yi Wang ⋅ Lei Yao ⋅ Yawen Cui ⋅ Lap-Pui Chau

TRACE: Your Diffusion Model is Secretly an Instance Edge Detector

Sanghyun Jo ⋅ Ziseok Lee ⋅ Wooyeol Lee ⋅ Jonghyun Choi ⋅ Jaesik Park ⋅ Kyungsu Kim

All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning

Zheng Yang ⋅ Ruoxin Chen ⋅ Zhiyuan Yan ⋅ Ke-Yue Zhang ⋅ Xinghe Fu ⋅ Shuang Wu ⋅ Xiujun Shu ⋅ Taiping Yao ⋅ Shouhong Ding ⋅ Zequn Qin ⋅ Xi Li

HSIC Bottleneck for Cross-Generator and Domain-Incremental Synthetic Image Detection

CHIN-CHIA YANG ⋅ Yung-Yu Chuang ⋅ Hwann-Tzong Chen ⋅ Tyng-Luh Liu

Part-level Semantic-guided Contrastive Learning for Fine-grained Visual Classification

Zhijian Lin ⋅ Hong Han

No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image Detection

Lianrui Mu ⋅ Haoji Hu ⋅ Xingze Zou ⋅ Jianhong Bai ⋅ Jiaqi Hu

RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration

Sudarshan Rajagopalan ⋅ Kartik Narayan ⋅ Vishal Patel

KinemaDiff: Towards Diffusion for Coherent and Physically Plausible Human Motion Prediction

Ye Lu ⋅ Jie Wang ⋅ Tianyi Liu ⋅ Jianjun Gao ⋅ Kim-Hui Yap

LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer

Song Fei ⋅ Tian Ye ⋅ Lujia Wang ⋅ Lei Zhu

FARTrack: Fast Autoregressive Visual Tracking with High Performance

Guijie Wang ⋅ Tong Lin ⋅ Yifan Bai ⋅ Anjia Cao ⋅ Shiyi Liang ⋅ Wangbo Zhao ⋅ Xing Wei

QuaMo: Quaternion Motions for Vision-based 3D Human Kinematics Capture

Cuong Le ⋅ Pavlo Melnyk ⋅ Urs Waldmann ⋅ Mårten Wadenbäck ⋅ Bastian Wandt

Fore-Mamba3D: Mamba-based Foreground-Enhanced Encoding for 3D Object Detection

Zhiwei Ning ⋅ Xuanang Gao ⋅ Jiaxi Cao ⋅ Runze Yang ⋅ Huiying Xu ⋅ Xinzhong Zhu ⋅ Jie Yang ⋅ Wei Liu

Video Scene Segmentation with Genre and Duration Signals

Jungu Cho ⋅ Seong Jong Ha ⋅ Hae-Gon Jeon

CortiLife: A Unified Framework for Cortical Representation Learning across the Lifespan

Pengcheng Xue ⋅ Dong Nie ⋅ Jie Luo ⋅ Daoqiang Zhang ⋅ Xuyun Wen

RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo

Victor Oei ⋅ Jenny Schmalfuss ⋅ Lukas Mehl ⋅ Madlen Bartsch ⋅ Shashank Agnihotri ⋅ Margret Keuper ⋅ Andreas Bulling ⋅ Andres Bruhn

Self-Guided Low Light Object Detection Framework

Gwangik Shin ⋅ Jaeha Song ⋅ Soonmin Hwang

WAFT: Warping-Alone Field Transforms for Optical Flow

Yihan Wang ⋅ Jia Deng

Animating the Uncaptured: Humanoid Mesh Animation with Video Diffusion Models

Marc Benedi San Millan ⋅ Angela Dai ⋅ Matthias Niessner

Seeing Through the PRISM: Compound & Controllable Restoration of Scientific Images

Rupa Kurinchi-Vendhan ⋅ Pratyusha Sharma ⋅ Antonio Torralba ⋅ Sara Beery

Rethinking Unsupervised Cross-modal Flow Estimation: Learning from Decoupled Optimization and Consistency Constraint

Runmin Zhang ⋅ Jialiang Wang ⋅ Si-Yuan Cao ⋅ Zhu Yu ⋅ Junchen Yu ⋅ Guangyi Zhang ⋅ Hui-liang Shen

Hot PATE: Private Aggregation of Distributions for Diverse Tasks

Edith Cohen ⋅ Benjamin Cohen-Wang ⋅ Xin Lyu ⋅ Jelani Nelson ⋅ Tamas Sarlos ⋅ Uri Stemmer

Private Rate-Constrained Optimization with Applications to Fair Learning

Mohammad Yaghini ⋅ Tudor Cebere ⋅ Michael Menart ⋅ Aurélien Bellet ⋅ Nicolas Papernot

Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs

Dong Yan ⋅ Jian Liang ⋅ Ran He ⋅ Tieniu Tan

Pisces: Cryptography-based Private Retrieval-Augmented Generation with Dual-Path Retrieval

Xiaojian Liang ⋅ Lushan Song ⋅ Shishuai Du ⋅ Weicheng Zhu ⋅ Tan Faith ⋅ Jun Jie Sim ⋅ Haibing Jin ⋅ Zhenghao Wu ⋅ Yingting Liu ⋅ Xin Zhang ⋅ Jiangming Yang ⋅ Pu Duan

Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning Failures

Sangyeon Yoon ⋅ Hyesoo Hong ⋅ Wonje Jeung ⋅ Albert No

Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning

Dariush Wahdany ⋅ Matthew Jagielski ⋅ Adam Dziedzic ⋅ Franziska Boenisch

Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models

JIN LIU ⋅ Yinbin Miao ⋅ Ning Xi ⋅ Junkang Liu

Information-Theoretic Membership Inference for Granular Quantification of Memorization

Jiashu Tao ⋅ Reza Shokri

WARP: Weight Teleportation for Attack-Resilient Unlearning Protocols

Mohammad M Maheri ⋅ Xavier Cadet ⋅ Peter Chin ⋅ Hamed Haddadi

Secret-Protected Evolution for Differentially Private Synthetic Text Generation

Tianze Wang ⋅ Zhaoyu Chen ⋅ Jian Du ⋅ Yingtai Xiao ⋅ Linjun Zhang ⋅ Qiang Yan

Traceable Black-Box Watermarks For Federated Learning

Jiahao Xu ⋅ Rui Hu ⋅ Olivera Kotevska ⋅ Zikai Zhang

Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation

Zikai Zhang ⋅ Rui Hu ⋅ Jiahao Xu

LUMINA: Detecting Hallucinations in RAG System with Context–Knowledge Signals

Min-Hsuan Yeh ⋅ Sharon Li ⋅ Tanwi Mallick

CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model

Xinran Xu ⋅ Xiuyi Fan

SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt Learning

Momin Khan ⋅ Yasra Chandio ⋅ Fatima Anwar

DynaGuard: A Dynamic Guardian Model With User-Defined Policies

Monte Hoover ⋅ Vatsal Baherwani ⋅ Neel Jain ⋅ Khalid Saifullah ⋅ Joseph J Vincent ⋅ Chirag Jain ⋅ Melissa Rad ⋅ C. Bruss ⋅ Ashwinee Panda ⋅ Tom Goldstein

On The Fragility of Benchmark Contamination Detection in Reasoning Models

Han Wang ⋅ Haoyu Li ⋅ Brian Ko ⋅ Huan Zhang

AtC: Aggregate-then-Calibrate for Human-centered Assessment

Zejun Xie ⋅ Xintong Li ⋅ Guang Wang ⋅ Desheng Zhang

Weak-to-Strong Generalization with Failure Trajectories

Ruimeng Ye ⋅ Zihan Wang ⋅ Yang Xiao ⋅ Zinan Ling ⋅ Manling Li ⋅ Bo Hui

Steering Language Models with Weight Arithmetic

Constanza Fierro ⋅ Fabien Roger

When Silence Is Golden: Can LLMs Learn to Abstain in Temporal QA and Beyond?

Xinyu Zhou ⋅ Chang Jin ⋅ Carsten Eickhoff ⋅ Zhijiang Guo ⋅ Seyed Ali Bahrainian

Alignment-Weighted DPO: A principled reasoning approach to improve safety alignment

Mengxuan Hu ⋅ Vivek Datla ⋅ Anoop Kumar ⋅ Zihan Guan ⋅ Sheng Li ⋅ Alfy Samuel ⋅ Daben Liu

What happens when generative AI models train recursively on each others' outputs?

Hung Vu ⋅ Galen Reeves ⋅ Emily Wenger

Towards Scalable Oversight via Partitioned Human Supervision

Ren Yin ⋅ Takashi Ishida ⋅ Masashi Sugiyama

OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!

Jingdi Lei ⋅ Varun Gumma ⋅ Rishabh Bhardwaj ⋅ Seok Lim ⋅ Chuan Li ⋅ Amir Zadeh ⋅ Soujanya Poria

Do Large Language Models Know What They Are Capable Of?

Casey Barkan ⋅ Sidney Black ⋅ Oliver Sourbut

SERUM: Simple, Efficient, Robust, and Unifying Marking for Diffusion-based Image Generation

Jan Kociszewski ⋅ Hubert Jastrzębski ⋅ Tymoteusz Stępkowski ⋅ Filip Manijak ⋅ Krzysztof Rojek ⋅ Franziska Boenisch ⋅ Adam Dziedzic

Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks

Wenbo Pan ⋅ Jie Xu ⋅ Qiguang Chen ⋅ Junhao Dong ⋅ Libo Qin ⋅ Xinfeng Li ⋅ Yu Haining ⋅ Xiaohua Jia

A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space

Bingjie Zhang ⋅ Yibo Yang ⋅ Ren Zhe ⋅ Dandan Guo ⋅ Jindong Gu ⋅ Philip Torr ⋅ Bernard Ghanem

Guidance Watermarking for Diffusion Models

Enoal Gesny ⋅ Eva Giboulot ⋅ Teddy Furon ⋅ Vivien Chappelier

Practical estimation of the optimal classification error with soft labels and calibration

Ryota Ushio ⋅ Takashi Ishida ⋅ Masashi Sugiyama

Dissecting Representation Misalignment in Contrastive Learning via Influence Function

Huanyi Xie ⋅ Chenyang Ren ⋅ Khouloud Saadi ⋅ Shu Yang ⋅ Zhen Tan ⋅ Jingfeng Zhang ⋅ Lijie Hu ⋅ Di Wang

Decomposing LLM Computation with Jets

Yihong Chen ⋅ Xiangxiang Xu ⋅ Pontus Stenetorp ⋅ Sebastian Riedel ⋅ Luca Franceschi

The Value of Information in Human-AI Decision-making

Ziyang Guo ⋅ Yifan Wu ⋅ Jason Hartline ⋅ Jessica Hullman

SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing

Anjali Parashar ⋅ Yingke Li ⋅ Eric Yu ⋅ Fei Chen ⋅ James Neidhoefer ⋅ devesh upadhyay ⋅ Chuchu Fan

Self-Consistency Improves the Trustworthiness of Self-Interpretable GNNs

Wenxin Tai ⋅ Ting Zhong ⋅ Goce Trajcevski ⋅ Fan Zhou

Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning

Martina G. Vilas ⋅ Safoora Yousefi ⋅ Besmira Nushi ⋅ Eric Horvitz ⋅ Vidhisha Balachandran

Mechanism of Task-oriented Information Removal in In-context Learning

Hakaze Cho ⋅ Haolin Yang ⋅ Gouki Minegishi ⋅ Naoya Inoue

Dyslexify: A Mechanistic Defense Against Typographic Attacks in CLIP

Lorenz Hufe ⋅ Constantin Venhoff ⋅ Erblina Purelku ⋅ Maximilian Dreyer ⋅ Sebastian Lapuschkin ⋅ Wojciech Samek

f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness

Subhodip Panda ⋅ Dhruv Tarsadiya ⋅ Shashwat Sourav ⋅ Prathosh AP ⋅ Sai Karimireddy

Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning

Xinting Huang ⋅ Michael Hahn

Tackling the XAI Disagreement Problem with Adaptive Feature Grouping

Gabriel Laberge ⋅ Ola Ahmad

Faithful Bi-Directional Model Steering via Distribution Matching and Distributed Interchange Interventions

Yuntai Bao ⋅ Xuhong Zhang ⋅ Jintao Chen ⋅ Ge Su ⋅ Yuxiang Cai ⋅ Hao Peng ⋅ SUN Bing ⋅ Haiqin Weng ⋅ Liu Yan ⋅ Jianwei Yin

Counterfactual Explanations on Robust Perceptual Geodesics

Eslam Zaher ⋅ Maciej Trzaskowski ⋅ Quan Nguyen ⋅ Fred Roosta

Language Models Use Lookbacks to Track Beliefs

Nikhil Prakash ⋅ Natalie Shapira ⋅ Arnab Sen Sharma ⋅ Christoph Riedl ⋅ Yonatan Belinkov ⋅ Tamar Shaham ⋅ David Bau ⋅ Atticus Geiger

DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models

Zherui Li ⋅ Zheng Nie ⋅ Zhenhong Zhou ⋅ Yue Liu ⋅ Yitong Zhang ⋅ Yu Cheng ⋅ Qingsong Wen ⋅ Kun Wang ⋅ Yufei Guo ⋅ Jiaheng Zhang

ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks

Zhaorun Chen ⋅ Xun Liu ⋅ Mintong Kang ⋅ Jiawei Zhang ⋅ Minzhou Pan ⋅ Shuang Yang ⋅ Bo Li

Eliciting Harmful Capabilities by Fine-Tuning on Safeguarded Outputs

Jackson Kaunismaa ⋅ John Hughes ⋅ Christina Knight ⋅ Avery Griffin ⋅ Mrinank Sharma ⋅ Erik Jones

Adaptive Logit Adjustment for Debiasing Multimodal Language Models

Hoin Jung ⋅ Junyi Chai ⋅ Xiaoqian Wang

Preference Leakage: A Contamination Problem in LLM-as-a-judge

Dawei Li ⋅ Renliang Sun ⋅ Yue Huang ⋅ Ming Zhong ⋅ Bohan Jiang ⋅ Jiawei Han ⋅ Xiangliang Zhang ⋅ Wei Wang ⋅ huan liu

When AI Agents Collude Online: Financial Fraud Risks by Collaborative LLM Agents on Social Platforms

Qibing Ren ⋅ Zhijie Zheng ⋅ Jiaxuan Guo ⋅ Junchi Yan ⋅ Lizhuang Ma ⋅ Jing Shao

How Dark Patterns Manipulate Web Agents

Phil Cuvin ⋅ Hao Zhu ⋅ Diyi Yang

CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives

Ayoung Lee ⋅ Ryan Kwon ⋅ Peter Railton ⋅ Lu Wang

Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language Models

Liangsheng Liu ⋅ Si Chen ⋅ Jiamin Wu ⋅ Weiwei Feng ⋅ Zhixin Cheng ⋅ Xiaotian Yin ⋅ Wenfei Yang ⋅ Tianzhu Zhang

A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models

Wonje Jeung ⋅ Sangyeon Yoon ⋅ Yoonjun Cho ⋅ Dongjae Jeon ⋅ Sangwoo Shin ⋅ Hyesoo Hong ⋅ Albert No

SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety

Geon-Hyeong Kim ⋅ Yu Jin Kim ⋅ Byoungjip Kim ⋅ Honglak Lee ⋅ Kyunghoon Bae ⋅ Youngsoo Jang ⋅ Moontae Lee

No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted Embeddings

Joonsung Jeon ⋅ Woo Jae Kim ⋅ Suhyeon Ha ⋅ Sooel Son ⋅ Sung-eui Yoon

Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer

Simon Schrodi ⋅ Elias Kempf ⋅ Fazl Barez ⋅ Thomas Brox

Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs

Alexander Panfilov ⋅ Evgenii Kortukov ⋅ Kristina Nikolić ⋅ Matthias Bethge ⋅ Sebastian Lapuschkin ⋅ Wojciech Samek ⋅ Ameya Prabhu ⋅ Maksym Andriushchenko ⋅ Jonas Geiping

Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots

Erfan Shayegani ⋅ G M Shahariar ⋅ Sara Abdali ⋅ Lei Yu ⋅ Nael Abu-Ghazaleh ⋅ Yue Dong

Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization

Igor Maljkovic ⋅ Maria Rosaria Briglia ⋅ Iacopo Masi ⋅ Antonio Emanuele Cinà ⋅ Fabio Roli

Uncertainty Estimation via Hyperspherical Confidence Mapping

Eunseo Choi ⋅ Ho-Yeon Kim ⋅ Jaewon Lee ⋅ Taeyong jo ⋅ Myungjun lee ⋅ Heejin Ahn

Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMs

Hyejun Jeong ⋅ Shiqing Ma ⋅ Amir Houmansadr

Beyond Linear Probes: Dynamic Safety Monitoring for Language Models

James Oldfield ⋅ Philip Torr ⋅ Ioannis Patras ⋅ Adel Bibi ⋅ Fazl Barez

MCP-SafetyBench: A Benchmark for Safety Evaluation of Large Language Models with Real-World MCP Servers

Xuanjun Zong ⋅ Zhiqi Shen ⋅ Lei Wang ⋅ Yunshi Lan ⋅ yang chao

PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities

Zicheng Liu ⋅ Lige Huang ⋅ Jie Zhang ⋅ Dongrui Liu ⋅ Yuan Tian ⋅ Jing Shao

A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models

Shihab Ahamed ⋅ Udaya Sampath K Perera Miriya Thanthrige ⋅ Ranga Rodrigo ⋅ Muhammad Haris Khan

PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives

Zhaowei Zhang ⋅ Xiaobo Wang ⋅ Minghua Yi ⋅ Mengmeng Wang ⋅ Fengshuo Bai ⋅ Zilong Zheng ⋅ Yipeng Kang ⋅ Yaodong Yang

SumRA: Parameter Efficient Fine-tuning with Singular Value Decomposition and Summed Orthogonal Basis

Chin Yuen Kwok ⋅ Yongsen Zheng ⋅ Jia Qi Yip ⋅ Kwok Yan Lam ⋅ Ensiong Chng

Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity

Amir Joudaki ⋅ Giulia Lanzillotta ⋅ Mohammad Samragh ⋅ Iman Mirzadeh ⋅ Keivan Alizadeh-Vahid ⋅ Thomas Hofmann ⋅ Mehrdad Farajtabar ⋅ Fartash Faghri

Online Learning and Equilibrium Computation with Ranking Feedback

Mingyang Liu ⋅ Yongshan Chen ⋅ Zhiyuan Fan ⋅ Gabriele Farina ⋅ Asuman Ozdaglar ⋅ Kaiqing Zhang

Activation Function Design Sustains Plasticity in Continual Learning

Lute Lillo ⋅ Nick Cheney

Co-LoRA: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients

Minhyuk Seo ⋅ Taeheon Kim ⋅ Hankook Lee ⋅ Jonghyun Choi ⋅ Tinne Tuytelaars

PAS: Estimating the target accuracy before domain adaptation

Raphaella Diniz ⋅ Jackson de Faria ⋅ Martin Ester

Designing Rules to Pick a Rule: Aggregation by Consistency

Ratip Emin Berker ⋅ Ben Armstrong ⋅ Vincent Conitzer ⋅ Nihar Shah

Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence

Bingji Yi ⋅ Qiyuan Liu ⋅ Yuwei Cheng ⋅ Haifeng Xu

Overparametrization bends the landscape: BBP transitions at initialization in simple Neural Networks

Brandon Annesi ⋅ Dario Bocchi ⋅ Chiara Cammarota

Good Allocations from Bad Estimates

Sílvia Casacuberta ⋅ Moritz Hardt

Why High-rank Neural Networks Generalize?: An Algebraic Framework with RKHSs

Yuka Hashimoto ⋅ Sho Sonoda ⋅ Isao Ishikawa ⋅ Masahiro Ikeda

Towards a Sharp Analysis of Offline Policy Learning for $f$-Divergence-Regularized Contextual Bandits

Qingyue Zhao ⋅ Kaixuan Ji ⋅ Heyang Zhao ⋅ Tong Zhang ⋅ Quanquan Gu

Polynomial Convergence of Riemannian Diffusion Models

Xingyu Xu ⋅ Ziyi Zhang ⋅ Yorie Nakahira ⋅ Guannan Qu ⋅ Yuejie Chi

A Theoretical Analysis of Mamba’s Training Dynamics: Filtering Relevant Features for Generalization in State Space Models

Mugunthan Shandirasegaran ⋅ Hongkang Li ⋅ Songyang Zhang ⋅ Meng Wang ⋅ Shuai Zhang

Why DPO is a Misspecified Estimator and How to Fix It

Aditya Gopalan ⋅ Sayak Ray Chowdhury ⋅ Debangshu Banerjee

On the Spectral Differences Between NTK and CNTK and Their Implications for Point Cloud Recognition

yuanqu Mou ⋅ Chang Gou ⋅ Haiyang Bai ⋅ Jia Liu

Expressive Power of Implicit Models: Rich Equilibria and Test-Time Scaling

Jialin Liu ⋅ Lisang Ding ⋅ Stanley J Osher ⋅ Wotao Yin

Understanding the Dynamics of Forgetting and Generalization in Continual Learning via the Neural Tangent Kernel

Guodong Zheng ⋅ Peng Wang ⋅ Shengchao Hu ⋅ Quan Zheng ⋅ Li Shen

Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for Transformers

Peter Shaw ⋅ James Cohan ⋅ Jacob Eisenstein ⋅ Kristina Toutanova

InfoNCE Induces Gaussian Distribution

Roy Betser ⋅ Eyal Gofer ⋅ Meir Yossef Levi ⋅ Guy Gilboa

Tight Bounds for Schrodinger Potential Estimation in Unpaired Data Translation

Nikita Puchkin ⋅ Denis Suchkov ⋅ Aleksei Naumov ⋅ Denis Belomestny

Sublinear Spectral Clustering Oracle with Little Memory

Ranran Shen ⋅ Xiaoyi Zhu ⋅ Pan Peng ⋅ Zengfeng Huang

PCF Learned Sort: a Learning Augmented Sort Algorithm with O(nloglogn) Expected Complexity

Atsuki Sato · Yusuke Matsui

Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective

Zhihao Zhang ⋅ Qiaole Dong ⋅ Qi Zhang ⋅ Enyu Zhou ⋅ Jun Zhao ⋅ Zhiheng Xi ⋅ Senjie Jin ⋅ Xiaoran Fan ⋅ Yuhao Zhou ⋅ Mingqi Wu ⋅ Yanwei Fu ⋅ Tao Ji ⋅ Tao Gui ⋅ Xuanjing Huang ⋅ Kai Chen

Matched Data, Better Models: Target Aligned Data Filtering with Sparse Autoencoders

Arnav Das ⋅ Gantavya Bhatt ⋅ Sahil Verma ⋅ Yiping Wang ⋅ Viswa Virinchi Muppirala ⋅ Jeff Bilmes

Path Channels and Plan Extension Kernels: a Mechanistic Description of Planning in a Sokoban RNN

Mohammad Taufeeque ⋅ Aaron Tucker ⋅ Adam Gleave ⋅ Adrià Garriga-Alonso

Learning multimodal dictionary decompositions with group-sparse autoencoders

Chiraag Kaushik ⋅ Davis Barch ⋅ Andrea Fanelli

On the Expressiveness of State Space Models via Temporal Logics

Eric Alsmann ⋅ Lowejatan Noori ⋅ Martin Lange

Two (narrow) heads are better than (an arbitrarily wide) one

Amanuel Tesfaye ⋅ Zeno Kujawa ⋅ Rajmohan Rajaraman ⋅ Ravi Sundaram

Efficient Estimation of Kernel Surrogate Models for Task Attribution

Zhenshuo Zhang ⋅ Minxuan Duan ⋅ Hongyang Zhang

Influence Dynamics and Stagewise Data Attribution

Jin Hwa Lee ⋅ Matthew Smith ⋅ Maxwell Adam ⋅ Jesse Hoogland

The Deleuzian Representation Hypothesis

Clément Cornet ⋅ Romaric Besançon ⋅ Hervé Le Borgne

Strong Correlations Induce Cause Only Predictions in Transformer Training

Haihan Zhang ⋅ Yimu Zhang ⋅ Cong Fang

DADA: Dual Averaging with Distance Adaptation

Mohammad Moshtaghifar ⋅ Anton Rodomanov ⋅ Daniil Vankov ⋅ Sebastian Stich

Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms

Spyros Angelopoulos ⋅ Christoph Dürr ⋅ Georgii Melidi

Beyond Short Steps in Frank-Wolfe Algorithms

David Martinez-Rubio ⋅ Sebastian Pokutta

Single-Loop Byzantine-Resilient Federated Bilevel Optimization

Yangnan Li ⋅ Shenghui Song ⋅ Xuanyu Cao

Optimizing Data Augmentation through Bayesian Model Selection

Madi Matymov ⋅ Ba-Hien Tran ⋅ Michael Kampffmeyer ⋅ Markus Heinonen ⋅ Maurizio Filippone

Action Chunking and Data Augmentation Yield Exponential Improvements in Behavior Cloning for Continuous Spaces

Thomas T. Zhang ⋅ Daniel Pfrommer ⋅ Chaoyi Pan ⋅ Nikolai Matni ⋅ Max Simchowitz

Risk-Sensitive Agent Compositions

Guruprerana Shabadi ⋅ Rajeev Alur

Queue Length Regret Bounds for Contextual Queueing Bandits

Seoungbin Bae ⋅ Garyeong Kang ⋅ Dabeen Lee

Analysis of approximate linear programming solution to Markov decision problem with log barrier function

Donghwan Lee ⋅ Hyukjun Yang ⋅ Bumgeun Park

Replicable Reinforcement Learning with Linear Function Approximation

ERIC EATON ⋅ Marcel Hussing ⋅ Michael Kearns ⋅ Aaron Roth ⋅ Sikata Sengupta ⋅ Jessica Sorrell

On the Reasoning Abilities of Masked Diffusion Language Models

Anej Svete ⋅ Ashish Sabharwal

The Expressive Limits of Diagonal SSMs for State-Tracking

Mehran Shakerinava ⋅ Behnoush Khavari ⋅ Siamak Ravanbakhsh ⋅ Sarath Chandar

Defining and quantifying compositional structure

Eric Elmoznino ⋅ Guillaume Lajoie

Beyond Pairwise: Empowering LLM Alignment With (Ranked) Choice Modeling

Yuxuan Tang ⋅ Yifan Feng

Trajectory Generation with Conservative Value Guidance for Offline Reinforcement Learning

Tieru Wang ⋅ Kunbao Wu ⋅ Guoshun Nan

In-Context Compositional Q-Learning for Offline Reinforcement Learning

Qiushui Xu ⋅ Yuhao Huang ⋅ Yushu Jiang ⋅ Wenliang Zheng ⋅ Lei Song ⋅ Jinyu Wang ⋅ Jiang Bian

Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning

Jiayu Chen ⋅ Le Xu ⋅ Wen-Tse Chen ⋅ Jeff Schneider

Koopman-Assisted Trajectory Synthesis: A Data Augmentation Framework for Offline Imitation Learning

Jin Wang ⋅ Pengcheng He ⋅ Ke Jiang ⋅ Xiaoyang Tan

Masked Skill Token Training for Hierarchical Off-Dynamics Transfer

Zeyu Feng ⋅ Haiyan Yin ⋅ Yew-Soon Ong ⋅ Harold Soh

MOBODY: Model-Based Off-Dynamics Offline Reinforcement Learning

Yihong Guo ⋅ Yu Yang ⋅ Pan Xu ⋅ Anqi Liu

Multiplayer Nash Preference Optimization

Fang Wu ⋅ Xu Huang ⋅ Weihao Xuan ⋅ Zhiwei Zhang ⋅ Yijia Xiao ⋅ Frank Wan ⋅ Xiaomin Li ⋅ Bing Hu ⋅ Peng Xia ⋅ Jure Leskovec ⋅ Yejin Choi

On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning

Yifan Zhang ⋅ Yifeng Liu ⋅ Rina Hughes ⋅ Yang Yuan ⋅ Quanquan Gu ⋅ Andrew Yao

Training Large Reasoning Models Efficiently via Progressive Thought Encoding

Zeliang Zhang ⋅ Xiaodong Liu ⋅ Hao Cheng ⋅ Hao Sun ⋅ Chenliang Xu ⋅ Jianfeng Gao

Simplicial Embeddings Improve Sample Efficiency in Actor–Critic Agents

Johan S Obando Ceron ⋅ Walter Mayor ⋅ Samuel Lavoie ⋅ Scott Fujimoto ⋅ Aaron Courville ⋅ Pablo Samuel Castro

Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning

Luckeciano Carvalho Melo ⋅ Alessandro Abate ⋅ Yarin Gal

APPLE: Toward General Active Perception via Reinforcement Learning

Tim Schneider ⋅ Cristiana de Farias ⋅ Roberto Calandra ⋅ Liming Chen ⋅ Jan Peters

QuRL: Low-Precision Reinforcement Learning for Efficient Reasoning

Yuhang Li ⋅ Reena Elangovan ⋅ Xin Dong ⋅ Priyadarshini Panda ⋅ Brucek Khailany

Native Reasoning Models: Training Language Models to Reason on Unverifiable Data

Yuanfu Wang ⋅ Zhixuan Liu ⋅ Xiangtian Li ⋅ Chaochao Lu ⋅ yang chao

Representation-Based Exploration for Language Models: From Test-Time to Post-Training

Jens Tuyls ⋅ Dylan Foster ⋅ Akshay Krishnamurthy ⋅ Jordan Ash

Reinforcement Learning via Value Gradient Flow

Haoran Xu ⋅ Kaiwen Hu ⋅ Somayeh Sojoudi ⋅ Amy Zhang

A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning

Ying-Tu Chen ⋅ Wei Hung ⋅ Bing-Shu Wu ⋅ Zhang-Wei Hong ⋅ Ping-Chun Hsieh

ContextIF: Enhancing Instruction-Following through Context Reward

Yule Zhong ⋅ Jiacheng Yao ⋅ Guoxiu He

Reference Grounded Skill Discovery

Seungeun (Ross) Rho ⋅ Aaron Trinh ⋅ Danfei Xu ⋅ Sehoon Ha

Demystifying The Mechanisms Behind Emergent Exploration in Goal-Conditioned RL

Mahsa Bastankhah ⋅ Grace Liu ⋅ Dilip Arumugam ⋅ Thomas L. Griffiths ⋅ Benjamin Eysenbach

The Art of Scaling Reinforcement Learning Compute for LLMs

Devvrit Khatri ⋅ Lovish Madaan ⋅ Rishabh Tiwari ⋅ Rachit Bansal ⋅ Venkata Sai Surya Subramanyam Duvvuri ⋅ Manzil Zaheer ⋅ Inderjit Dhillon ⋅ David Brandfonbrener ⋅ Rishabh Agarwal

RL Grokking Recipe: How Does RL Unlock and Transfer New Algorithms in LLMs?

Yiyou Sun ⋅ Yuhan Cao ⋅ Pohao Huang ⋅ Haoyue Bai ⋅ Hanna Hajishirzi ⋅ Nouha Dziri ⋅ Dawn Song

Octax: Accelerated CHIP-8 Arcade Environments for Reinforcement Learning in JAX

Waris Radji ⋅ Thomas Michel ⋅ Hector Piteau

Jackpot: Align Actor-Policy Distribution for scalable and stable RL for LLM

Zhuoming Chen ⋅ Hongyi Liu ⋅ Yang Zhou ⋅ Haizhong Zheng ⋅ Beidi Chen

Bridging the performance-gap between target-free and target-based reinforcement learning

Théo Vincent ⋅ Yogesh Tripathi ⋅ Tim Faust ⋅ Abdullah Akgül ⋅ Yaniv Oren ⋅ Melih Kandemir ⋅ Jan Peters ⋅ Carlo D Eramo

Policy Newton Algorithm in Reproducing Kernel Hilbert Space

Yixian Zhang ⋅ Huaze Tang ⋅ Changxu Wei ⋅ Chao Wang ⋅ Wenbo Ding

GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning

Silvia Sapora ⋅ R Devon Hjelm ⋅ Omar Attia ⋅ Alexander Toshev ⋅ Bogdan Mazoure

Learning to Answer from Correct Demonstrations

Nirmit Joshi ⋅ Gene Li ⋅ Siddharth Bhandari ⋅ Shiva Kasiviswanathan ⋅ Cong Ma ⋅ Nathan Srebro

Heterogeneous Agent Q-weighted Policy Optimization

Bor Jiun Lin ⋅ Chun-Yi Lee

MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow

Ziyue Wang ⋅ Junde Wu ⋅ Linghan Cai ⋅ Chang Low ⋅ Xihong Yang ⋅ Qiaxuan Li ⋅ Yueming Jin

Language and Experience: A Computational Model of Social Learning in Complex Tasks

Cédric Colas ⋅ Tracey Mills ⋅ Ben Prystawski ⋅ Michael Tessler ⋅ Noah Goodman ⋅ Jacob Andreas ⋅ Joshua B Tenenbaum

From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

Cheng Yang ⋅ Jiaxuan Lu ⋅ Haiyuan Wan ⋅ Junchi Yu ⋅ Feiwei Qin

MARSHAL: Incentivizing Multi-Agent Reasoning via Self-Play with Strategic LLMs

Huining Yuan ⋅ Zelai Xu ⋅ Zheyue Tan ⋅ Xiangmin Yi ⋅ Mo Guang ⋅ Kaiwen Long ⋅ Haojia Hui ⋅ BOXUN LI ⋅ Xinlei Chen ⋅ Bo Zhao ⋅ Xiao-Ping Zhang ⋅ Chao Yu ⋅ Yu Wang

Matching Multiple Experts: On the Exploitability of Multi-Agent Imitation Learning

Antoine Bergerault ⋅ Volkan Cevher ⋅ Negar Mehr

GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent System

Yiqin Yang ⋅ Xu Yang ⋅ Yuhua Jiang ⋅ Ni Mu ⋅ Hao Hu ⋅ Runpeng Xie ⋅ Ziyou Zhang ⋅ Siyuan Li ⋅ Yuan-Hua Ni ⋅ Qianchuan Zhao ⋅ Bo XU

Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations

Chengzhi Liu ⋅ Yuzhe YANG ⋅ Kaiwen Zhou ⋅ Zhen Zhang ⋅ Yue Fan ⋅ Yanan Xie ⋅ Peng Qi ⋅ Xin Wang

Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning

Naoki Shitanda ⋅ Motoki Omura ⋅ Tatsuya Harada ⋅ Takayuki Osa

RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling

Yang Liu ⋅ Jiaqi Li ⋅ Zilong Zheng

EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems

Yufei He ⋅ Juncheng Liu ⋅ Yue Liu ⋅ Yibo Li ⋅ Tri Cao ⋅ Zhiyuan Hu ⋅ Xinxing Xu ⋅ Bryan Hooi

ATGen: Adversarial Reinforcement Learning for Test Case Generation

Qingyao Li ⋅ Xinyi Dai ⋅ Weiwen Liu ⋅ Xiangyang Li ⋅ Yasheng Wang ⋅ Ruiming Tang ⋅ Yong Yu ⋅ Weinan Zhang

LogicReward: Incentivizing LLM Reasoning via Step-Wise Logical Supervision

Jundong Xu ⋅ Hao (Scofield) Fei ⋅ Huichi Zhou ⋅ Xin Quan ⋅ Qijun Huang ⋅ Shengqiong Wu ⋅ William Wang ⋅ Mong-Li Lee ⋅ Wynne Hsu

GEM: A Gym for Generalist LLMs

Zichen Liu ⋅ Anya Sims ⋅ Keyu Duan ⋅ Changyu Chen ⋅ Simon Yu ⋅ Xiangxin Zhou ⋅ Haotian Xu ⋅ Shaopan Xiong ⋅ Bo Liu ⋅ Chenmien Tan ⋅ Weixun Wang ⋅ Hao Zhu ⋅ Weiyan Shi ⋅ Diyi Yang ⋅ Michael Qizhe Shieh ⋅ Yee Whye Teh ⋅ Wee Sun Lee ⋅ Min Lin

BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning

Qianli Shen ⋅ Daoyuan Chen ⋅ Yilun Huang ⋅ Zhenqing Ling ⋅ Yaliang Li ⋅ Bolin Ding ⋅ Jingren Zhou

Geometric-Mean Policy Optimization

Yuzhong Zhao ⋅ Yue Liu ⋅ Junpeng Liu ⋅ Jingye Chen ⋅ xun wu ⋅ Yaru Hao ⋅ Tengchao Lv ⋅ Shaohan Huang ⋅ Lei Cui ⋅ Qixiang Ye ⋅ Fang Wan ⋅ Furu Wei

KL-Regularized Reinforcement Learning for Generative Modelling is Designed to Mode Collapse

Anthony GX-Chen ⋅ Jatin Prakash ⋅ Jeff Guo ⋅ Rob Fergus ⋅ Rajesh Ranganath

CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs

Yongcheng Zeng ⋅ Zexu Sun ⋅ Bokai Ji ⋅ Erxue Min ⋅ Hengyi Cai ⋅ Shuaiqiang Wang ⋅ Dawei Yin ⋅ Haifeng Zhang ⋅ Xu Chen ⋅ Jun Wang

Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits

Donghao Li ⋅ Chengshuai Shi ⋅ Weijuan Ou ⋅ Cong Shen ⋅ Jing Yang

Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards

Xuan Zhang ⋅ Ruixiao Li ⋅ Zhijian Zhou ⋅ Long Li ⋅ Yulei Qin ⋅ Ke Li ⋅ Xing Sun ⋅ Xiaoyu Tan ⋅ Chao Qu ⋅ Yuan Qi

Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs

Haoming Meng ⋅ Kexin Huang ⋅ Shaohang Wei ⋅ Chiyu Ma ⋅ Shuo Yang ⋅ xue wang ⋅ Guoyin Wang ⋅ Bolin Ding ⋅ Jingren Zhou

JustRL: Scaling a 1.5B LLM with a Simple RL Recipe

Bingxiang He ⋅ Zekai Qu ⋅ Zeyuan Liu ⋅ Yinghao Chen ⋅ Yuxin Zuo ⋅ Cheng Qian ⋅ Kaiyan Zhang ⋅ Weize Chen ⋅ Chaojun Xiao ⋅ Ganqu Cui ⋅ Ning Ding ⋅ Zhiyuan Liu

OptimSyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation

Zhiting Fan ⋅ Ruizhe Chen ⋅ Tianxiang Hu ⋅ Ru Peng ⋅ Zenan Huang ⋅ Haokai Xu ⋅ Yixin Chen ⋅ JIAN Wu ⋅ Junbo Zhao ⋅ Zuozhu Liu

Is On-Policy Data always the Best Choice for Direct Preference Optimization-Based LM Alignment?

Zetian Sun ⋅ dongfang li ⋅ Xuhui Chen ⋅ Baotian Hu ⋅ Min Zhang

TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate

Amir Zandieh ⋅ Majid Daliri ⋅ Majid Hadian ⋅ Vahab Mirrokni

OR-PRM: A Process Reward Model for Algorithmic Problem in Operations Research

Yilin Wang ⋅ Heng Zhou ⋅ Dongxing Mao ⋅ Linjie Li ⋅ Jingru Tan ⋅ Haochen Han ⋅ Zhengyuan Yang ⋅ Alex Jinpeng Wang ⋅ Min Li

What Happens Next? Anticipating Future Motion by Generating Point Trajectories

Gabrijel Boduljak ⋅ Laurynas Karazija ⋅ Iro Laina ⋅ Christian Rupprecht ⋅ Andrea Vedaldi

IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction

昊李 ⋅ Zhengyu Zou ⋅ Fangfu Liu ⋅ zhang xuanyang ⋅ Fangzhou Hong ⋅ Yukang Cao ⋅ Yushi LAN ⋅ Manyuan Zhang ⋅ Gang Yu ⋅ Dingwen Zhang ⋅ Ziwei Liu

To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models

Eran Malach ⋅ Omid Saremi ⋅ Sinead Williamson ⋅ Arwen Bradley ⋅ Aryo Lotfi ⋅ Emmanuel Abbe ⋅ Joshua Susskind ⋅ Etai Littwin

Vision-Zero: Scalable VLM Self-Evolution via Multi-Agent Self-Play

Qinsi Wang ⋅ Bo Liu ⋅ Tianyi Zhou ⋅ Jing Shi ⋅ Yueqian Lin ⋅ Yiran Chen ⋅ Hai Li ⋅ Kun Wan ⋅ Wentian Zhao

$PhyWorldBench$: A Comprehensive Evaluation of Physical Realism in Text-to-Video Models

Jing Gu ⋅ Xian Liu ⋅ Yu Zeng ⋅ Ashwin Nagarajan ⋅ Fangrui Zhu ⋅ Daniel Hong ⋅ Yue Fan ⋅ Qianqi Yan ⋅ Kaiwen Zhou ⋅ Ming-Yu Liu ⋅ Xin Wang

OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment

Liang Lin ⋅ Zhihao Xu ⋅ Junhao Dong ⋅ Jian Zhao ⋅ Yuchen Yuan ⋅ Guibin Zhang ⋅ Miao Yu ⋅ Yiming Zhang ⋅ Zhengtao Yao ⋅ Huahui Yi ⋅ HAICHUAN TANG ⋅ Dongrui Liu ⋅ Xinfeng Li ⋅ Kun Wang

Language-Instructed Vision Embeddings for Controllable and Generalizable Perception

Chengzhi Mao ⋅ Xudong Lin ⋅ Wen-Sheng Chu

Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning

Weipu Zhang ⋅ Adam Jelley ⋅ Trevor McInroe ⋅ Amos Storkey ⋅ Gang Wang

Emergent Misalignment is Easy, Narrow Misalignment is Hard

Anna Soligo ⋅ Edward Turner ⋅ Senthooran Rajamanoharan ⋅ Neel Nanda

Reinforcing General Reasoning Without Verifiers

Xiangxin Zhou ⋅ Zichen Liu ⋅ Anya Sims ⋅ Haonan Wang ⋅ Tianyu Pang ⋅ Chongxuan Li ⋅ Liang Wang ⋅ Min Lin ⋅ Chao Du

Context Tokens are Anchors: Understanding the Repeat Curse in dMLLMs from an Information Flow Perspective

Qiyan Zhao ⋅ Xiaofeng Zhang ⋅ Shuochen Chang ⋅ Qianyu Chen ⋅ Xiaosong Yuan ⋅ Xuhang Chen ⋅ LUOQI LIU ⋅ Jiajun Zhang ⋅ Xu-yao Zhang ⋅ Da-Han Wang

PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting

Jiaming Ma ⋅ Qihe Huang ⋅ Haofeng Ma ⋅ Guanjun Wang ⋅ Sheng Huang ⋅ Zhengyang Zhou ⋅ Pengkun Wang ⋅ Xu Wang ⋅ Binwu Wang ⋅ Yang Wang

AlphaAgentEvo: Evolution-Oriented Alpha Mining via Self-Evolving Agentic Reinforcement Learning

Ziyi Tang ⋅ Xuexiong Yin ⋅ Weixing Chen ⋅ Zechuan Chen ⋅ Yongsen Zheng ⋅ Wenxuan Ye ⋅ Keze Wang ⋅ Liang Lin

IF-VidCap: Can Video Caption Models Follow Instructions?

Shihao Li ⋅ Yuanxing Zhang ⋅ Jiangtao Wu ⋅ Zhide Lei ⋅ Yiwen He ⋅ Runzhe Wen ⋅ Chenxi Liao ⋅ Chengkang Jiang ⋅ An Ping ⋅ Shuo Gao ⋅ Suhan Wang ⋅ Zhaozhou Bian ⋅ Zijun Zhou ⋅ Jingyi Xie ⋅ Jiayi Zhou ⋅ Jing Wang ⋅ Yifan Yao ⋅ Weihao Xie ⋅ Yingshui Tan ⋅ Yanghai Wang ⋅ Qianqian Xie ⋅ Zhaoxiang Zhang ⋅ JIAHENG LIU

Towards Multimodal Data-Driven Scientific Discovery Powered by LLM Agents

Fan Liu ⋅ Xiaozhao Zeng ⋅ Hao Liu

House Of Dextra : Cross-Embodied Co-Design for Dexterous Hands

Kehlani Fay ⋅ Darin Djapri ⋅ Anya Zorin ⋅ James Clinton ⋅ Ali El Lahib ⋅ Hao Su ⋅ Michael Tolley ⋅ Sha Yi ⋅ Xiaolong Wang

Graph Tokenization for Bridging Graphs and Transformers

Zeyuan Guo ⋅ Enmao Diao ⋅ Cheng Yang ⋅ Chuan Shi

PreferThinker: Reasoning-based Personalized Image Preference Assessment

Shengqi Xu ⋅ Xinpeng Zhou ⋅ Yabo Zhang ⋅ Ming Liu ⋅ Tao Liang ⋅ Tianyu Zhang ⋅ Yalong Bai ⋅ Zuxuan Wu ⋅ Wangmeng Zuo

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation

Yifu Yuan ⋅ Haiqin Cui ⋅ Yaoting Huang ⋅ Yibin Chen ⋅ Fei Ni ⋅ Zibin Dong ⋅ Pengyi Li ⋅ YAN ZHENG ⋅ Hongyao Tang ⋅ Jianye Hao

CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer

Wenbo Nie ⋅ Zixiang Li ⋅ Renshuai Tao ⋅ Bin WU ⋅ Yunchao Wei ⋅ Yao Zhao

CPQS-Tuning: A Model Self-Perception-Based Data Filtering Algorithm for Efficient Instruction Fine-Tuning

YI REN ⋅ Yanhui Li ⋅ Tianyi Zhang ⋅ Diandong Liu

Physics-Informed Inference Time Scaling for Solving High-Dimensional Partial Differential Equations

Zexi Fan ⋅ Yan Sun ⋅ Shihao Yang ⋅ Yiping Lu

Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test

Ziyue Li ⋅ Chenrui Fan ⋅ Tianyi Zhou

StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models

Chenyu Zhou ⋅ Tianyi Xu ⋅ Jianghao Lin ⋅ Dongdong Ge

Topological Anomaly Quantification for Semi-supervised Graph Anomaly Detection

Ting Guo ⋅ Yangrui Fan ⋅ Caixia Cui ⋅ Jiye Liang ⋅ Jiao Zhao ⋅ Da Wang

GuardAlign: Test-time Safety Alignment in Multimodal Large Language Models

Xingyu Zhu ⋅ Beier Zhu ⋅ Junfeng Fang ⋅ Shuo Wang ⋅ Yin Zhang ⋅ Xiang Wang ⋅ Xiangnan He

Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs

Feng Hong ⋅ Geng Yu ⋅ Yushi Ye ⋅ Haicheng Huang ⋅ Huangjie Zheng ⋅ Ya Zhang ⋅ Yanfeng Wang ⋅ Jiangchao Yao

Quasi-Equivariant Metanetworks

Viet-Hoang Tran ⋅ An Nguyen ⋅ Benoît Guérand ⋅ Thieu Vo ⋅ Tan Nguyen

Evaluating and Improving Cultural Awareness of Reward Models for LLM Alignment

Hongbin Zhang ⋅ Kehai Chen ⋅ Xuefeng Bai ⋅ Yang Xiang ⋅ Min Zhang

Helmsman: Autonomous Synthesis of Federated Learning Systems via Collaborative LLM Agents

Haoyuan Li ⋅ Mathias Funk ⋅ Aaqib Saeed

GIQ: Benchmarking 3D Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra

Mateusz Michalkiewicz ⋅ Anekha Sokhal ⋅ Tadeusz Michalkiewicz ⋅ Piotr Pawlikowski ⋅ Mahsa Baktashmotlagh ⋅ Varun Jampani ⋅ Guha Balakrishnan

Learning to Orchestrate Agents in Natural Language with the Conductor

Stefan Nielsen ⋅ Edoardo Cetin ⋅ Peter Schwendeman ⋅ Qi Sun ⋅ Jinglue Xu ⋅ Yujin Tang

Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation

Dian XIE ⋅ Shitong Shao ⋅ Lichen Bai ⋅ zikai zhou ⋅ Bojun Cheng ⋅ Shuo Yang ⋅ JUN WU ⋅ Zeke Xie

Data-to-Energy Stochastic Dynamics

Kirill Tamogashev ⋅ Nikolay Malkin

Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data

Yasi Zhang ⋅ Tianyu Chen ⋅ Zhendong Wang ⋅ Yingnian Wu ⋅ Mingyuan Zhou ⋅ Oscar Leong

Anchored Supervised Fine-Tuning

He Zhu ⋅ Junyou Su ⋅ Peng Lai ⋅ Ren Ma ⋅ Wenjia Zhang ⋅ Linyi Yang ⋅ Guanhua Chen

UrbanFeel：A Comprehensive Benchmark for Temporal and Perceptual Understanding of City Scenes through Human Perspective

Jun He ⋅ Yi Lin ⋅ Zilong Huang ⋅ Jiacong Yin ⋅ Junyan Ye ⋅ Yuchuan Zhou ⋅ Weijia Li ⋅ Xiang Zhang

MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with Holistic Platform and Adaptive Hybrid Policy Optimization

Xiangyu Zhao ⋅ Lin ⋅ Tianhao Liang ⋅ Yifan Zhou ⋅ Wenhao Chai ⋅ Yuzhe Gu ⋅ Weiyun Wang ⋅ Kai Chen ⋅ Gen Luo ⋅ Junchi Yan ⋅ Wenwei Zhang ⋅ Hua Yang ⋅ Haodong Duan ⋅ Xue Yang

PrefDisco: Benchmarking Proactive Personalized Reasoning

Stella Li ⋅ Avinandan Bose ⋅ Faeze Brahman ⋅ Simon Du ⋅ Pang Wei Koh ⋅ Maryam Fazel ⋅ Yulia Tsvetkov

Arbitrary-Order Block SignSGD for Memory-Efficient LLM Fine-Tuning

Yijie Zhou ⋅ Shi Pu

Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of Experts

Ruofeng Yang ⋅ Yongcan Li ⋅ Bo Jiang ⋅ Cheng Chen ⋅ Shuai Li

InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression

WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

Kuan Li ⋅ Zhongwang Zhang ⋅ Huifeng Yin ⋅ Rui Ye ⋅ Yida Zhao ⋅ Liwen Zhang ⋅ Litu Ou ⋅ Ding-Chu Zhang ⋅ Xixi Wu ⋅ Xinmiao Yu ⋅ Jialong Wu ⋅ Xinyu Wang ⋅ Zile Qiao ⋅ Zhen Zhang ⋅ Yong Jiang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Zhiqin Xu ⋅ Shuai Wang ⋅ Minhao Cheng ⋅ Jingren Zhou

TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture

Yongchao Chen ⋅ Jiefeng Chen ⋅ Rui Meng ⋅ Ji Yin ⋅ Na Li ⋅ Chuchu Fan ⋅ Chi Wang ⋅ Tomas Pfister ⋅ Jinsung Yoon

A General Framework for Black-Box Attacks Under Cost Asymmetry

Mahdi Salmani ⋅ Alireza Abdollahpoorrostam ⋅ Seyed-Mohsen Moosavi-Dezfooli

Faithfulness Under the Distribution: A New Look at Attribution Evaluation

Zhiyu Zhu ⋅ Zhibo Jin ⋅ Jiayu Zhang ⋅ Bartlomiej Sobieski ⋅ Przemyslaw Biecek ⋅ Fang Chen ⋅ Jianlong Zhou

MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference

Kaiyan Zhang ⋅ Kai Tian ⋅ Runze Liu ⋅ Sihang Zeng ⋅ Xuekai Zhu ⋅ Guoli Jia ⋅ Yuchen Fan ⋅ Xingtai Lv ⋅ Yuxin Zuo ⋅ Che Jiang ⋅ Yuru wang ⋅ Jianyu Wang ⋅ Ermo Hua ⋅ Xinwei Long ⋅ Junqi Gao ⋅ Youbang Sun ⋅ Zhiyuan Ma ⋅ Ganqu Cui ⋅ Ning Ding ⋅ Biqing Qi ⋅ Bowen Zhou

Don't Settle Too Early: Self-Reflective Remasking for Diffusion Language Models

Zemin Huang ⋅ Yuhang Wang ⋅ Zhiyang Chen ⋅ Guo-Jun Qi

Mixing Importance with Diversity: Joint Optimization for KV Cache Compression in Large Vision-Language Models

Xuyang Liu ⋅ Xiyan Gui ⋅ Yuchao Zhang ⋅ Linfeng Zhang

Multi-Marginal Flow Matching with Adversarially Learnt Interpolants

Oskar Kviman ⋅ Kirill Tamogashev ⋅ Nicola Branchini ⋅ Víctor Elvira ⋅ Jens Lagergren ⋅ Nikolay Malkin

RLP: Reinforcement as a Pretraining Objective

Ali Hatamizadeh ⋅ Syeda Nahida Akter ⋅ Shrimai Prabhumoye ⋅ Jan Kautz ⋅ Mostofa Patwary ⋅ Mohammad Shoeybi ⋅ Bryan Catanzaro ⋅ Yejin Choi

Asynchronous Matching with Dynamic Sampling for Multimodal Dataset Distillation

Ding Qi ⋅ Jian Li ⋅ Shuguang Dou ⋅ Zifan Song ⋅ Junyao Gao ⋅ Yabiao Wang ⋅ Chengjie Wang ⋅ Cai Zhao

Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance

Zhuo Li ⋅ Pengyu Cheng ⋅ Zhechao Yu ⋅ FeifeiTong ⋅ Anningzhe Gao ⋅ Tsung-Hui Chang ⋅ Xiang Wan ⋅ erchao.zec ⋅ xiaoxi jiang ⋅ guanjunjiang

Optimizing Canaries for Privacy Auditing with Metagradient Descent

Matteo Boglioni ⋅ Terrance Liu ⋅ Andrew Ilyas ⋅ Steven Wu

PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models

Soufiane Hayou ⋅ Nikhil Ghosh ⋅ Bin Yu

AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning

Yi Zhang ⋅ An Zhang ⋅ XiuYu Zhang ⋅ Leheng Sheng ⋅ Yuxin Chen ⋅ Zhenkai Liang ⋅ Xiang Wang

MICLIP: Learning to Interpret Representation in Vision Models

Yingdong Shi ⋅ Zhiyu Yang ⋅ Changming Li ⋅ Jingyi Yu ⋅ Kan Ren

Fast-dLLM v2: Efficient Block-Diffusion LLM

Chengyue Wu ⋅ Hao Zhang ⋅ Shuchen Xue ⋅ Shizhe Diao ⋅ Yonggan Fu ⋅ Zhijian Liu ⋅ Pavlo Molchanov ⋅ Ping Luo ⋅ Song Han ⋅ Enze Xie

Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens

Yunlong Deng ⋅ Boyang Sun ⋅ Yan Li ⋅ Zeyu Tang ⋅ Lingjing Kong ⋅ Kun Zhang ⋅ Guangyi Chen

Reassessing Layer Pruning in LLMs: New Insights and Methods

Yao Lu ⋅ Hao Cheng ⋅ Yujie Fang ⋅ Zeyu Wang ⋅ Jiaheng Wei ⋅ Dongwei Xu ⋅ Qi Xuan ⋅ Zhaowei Zhu

Revisiting the NetHack Learning Environment

Michael Matthews ⋅ Pierluca D'Oro ⋅ Anssi Kanervisto ⋅ Scott Fujimoto ⋅ Jakob Foerster ⋅ Mikael Henaff

Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified?

Olawale Elijah Salaudeen · Nicole Chiou · Shiny Weng · Sanmi Koyejo

Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE

Lokesh Nagalapatti · Pranava Singhal · Avishek Ghosh · Sunita Sarawagi

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