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

Oral

Oral Session 5A

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

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

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 · Guancheng 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 · Youngsoo Jang · Yu Jin Kim · Byoungjip Kim · Honglak Lee · Kyunghoon Bae · 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

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

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 · Ying Wei · Fei Han · Qingfu Zhang · Hisao Ishibuchi

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Oral

Oral Session 5F

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 · Francesca Cacucci · Joshua Bassett · Hui Tan · Thomas Wills · Caswell Barry

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Poster

Poster Session 5

10:30 AM - 1:00 PM

895 Events in this session

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

3DGEER: 3D Gaussian Rendering Made Exact and Efficient for Generic Cameras

Zixun Huang · Cho-Ying Wu · Yuliang Guo · Xinyu Huang · Liu Ren

3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion Models

Tianmeng Hu · Yongzheng Cui · Biao Luo · Ke Li

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

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

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

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

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

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

Ce Hao · Xuanran Zhai · Yaohua Liu · Harold Soh

Accelerating Materials Design via LLM-Guided Evolutionary Search

Nikhil Abhyankar · sanchit kabra · Saaketh Desai · Chandan Reddy

ACE-Bench: Benchmarking Agentic Coding in End-to-End Development of Complex Features

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

Achieving Approximate Symmetry Is Exponentially Easier than Exact Symmetry

Behrooz Tahmasebi · Melanie Weber

Achieving low-bit Muon through subspace preservation and grid quantization

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

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

Jingyu Lu · Haonan Wang · Qixiang ZHANG · Xiaomeng Li

Activation Steering with a Feedback Controller

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

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

Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic Segmentation

Wangkai Li · Zhaoyang Li · Yuwen Pan · Rui Sun · Yujia Chen · Tianzhu Zhang

Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning

Wei Yang · Defu Cao · Jiacheng Pang · Muyan Weng · Yan Liu

Adaptive Conformal Guidance for Learning under Uncertainty

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

Adaptive Conformal Prediction via Mixture-of-Experts Gating Similarity

Jingsen Kong · Wenlu Tang · Dezheng Kong · Guangren Yang · Linglong Kong · Bei Jiang

Adaptive Logit Adjustment for Debiasing Multimodal Language Models

Hoin Jung · Junyi Chai · Xiaoqian Wang

Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models

Kailash Gopal Darmasubramanian · Akash Pareek · Arindam Khan · Arpit Agarwal

Advancing 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

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

Muleilan Pei · Shaoshuai Shi · Shaojie Shen

Adversarial Robustness of Graph Transformers

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

AEGIS: Adversarial Target–Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models

Fengpeng Li · Kemou Li · Qizhou Wang · Bo Han · Jiantao Zhou

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

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

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

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

A Hidden Semantic Bottleneck in Conditional Embeddings of Diffusion Transformers

Trung X. Pham · Kang Zhang · Ji Woo Hong · Chang Yoo

Align Once, Benefit Multilingually: Enforcing Multilingual Consistency for LLM Safety Alignment

Yuyan Bu · Xiaohao Liu · ZhaoXing Ren · Yaodong Yang · Juntao Dai

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

Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges

Hamin Koo · Minseon Kim · Jaehyung Kim

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

Xudong Wang · Gan Li · Zhiyu Liu · Yao Wang · Lianqing Liu · Zhi Han

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

Alternating Diffusion for Proximal Sampling with Zeroth Order Queries

Hirohane Takagi · Atsushi Nitanda

AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations

Cheng Jiayang · Dongyu Ru · Lin Qiu · Yiyang Li · Xuezhi Cao · Yangqiu Song · Xunliang Cai

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

An efficient, provably optimal, practical algorithm for the 0-1 loss linear classification problem

Xi He · Max Little

Angle K-Means

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

An Optimal Diffusion Approach to Quadratic Rate-Distortion Problems: New Solution and Approximation Methods

Dror Freirich · Nir Weinberger

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

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

Arbitrary Generative Video Interpolation

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

Are Deep Speech Denoising Models Robust to Adversarial Noise?

Will Schwarzer · Andrea Fanelli · Philip Thomas · Xiaoyu Liu

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

Jiayi Guo · Haoxuan Li · YE TIAN · Peng Wu

ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping

Shuang Chen · Hangyu Guo · Yimeng Ye · Shijue Huang · Wenbo Hu · Haoxi Li · Manyuan Zhang · Jiayu Chen · Song Guo · Nanyun (Violet) Peng

A Revisit of Active Sequential Prediction-Powered Mean Estimation

Maria-Eleni Sfyraki · Jun-Kun Wang

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

jindong tian · Yifei Ding · Ronghui Xu · Hao Miao · Guo · Bin Yang

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

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

A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions

Nishant Jain · Tong Zhang

ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide Imaging

Linfeng Ye · Shayan Mohajer Hamidi · Zhixiang Chi · Guang Li · Mert Pilanci · Takahiro Ogawa · Miki Haseyama · Konstantinos Plataniotis

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

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

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

Shuo Xie · Tianhao Wang · Beining Wu · Zhiyuan Li

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

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

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

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

A universal compression theory: Lottery ticket hypothesis and superpolynomial scaling laws

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

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

AutoLibra: Agent Metric Induction from Open-Ended Human Feedback

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

Automated Interpretability Metrics Do Not Distinguish Trained and Random Transformers

Thomas Heap · Tim Lawson · Lucy Farnik · Laurence Aitchison

Automated Stateful Specialization for Adaptive Agent Systems

Myan Vu · Harrish Ayyanar · PANG JIANG · Anwiketh Reddy · Mayank Goel

Automating the Refinement of Reinforcement Learning Specifications

Tanmay Sadanand Ambadkar · Djordje Zikelic · Abhinav Verma

Autonomous Play with Correspondence-Driven Trajectory Warping

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

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

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

AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism

Ahan Gupta · Zhihao Wang · Neel Dani · Masahiro Tanaka · Olatunji Ruwase · Minjia Zhang

back arrowGo to TMLR homepage Slicing the Gaussian Mixture Wasserstein Distance

Moritz Piening · Robert Beinert

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

Bandit Learning in Matching Markets Robust to Adversarial Corruptions

Zheshun Wu · Jinhang Zuo · Zenglin Xu · Fang Kong

Bandits with Single-Peaked Preferences and Limited Resources

Gur Keinan · Rotem Torkan · Omer Ben-Porat

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

Batch Pruning by Activation Stability

Md Mustakin Alam · Shaker Islam · Aminul Islam

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

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

Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization

Simon Zhan · Qingyuan Wu · Zhaofeng Wang · Frank Yang · Xiangyu Shi · Chao Huang · Qi Zhu

Benchmarking LLM Tool-Use in the Wild

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

Benchmarking Overton Pluralism in LLMs

Elinor Poole-Dayan · Jiayi Wu · Taylor Sorensen · Jiaxin Pei · Michiel Bakker

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

Beyond Frequency: Scoring-Driven Debiasing for Object Detection via Blueprint-Prompted Image Synthesis

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

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

Wenqi Guo · Shikui Tu · Lei Xu

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

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

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

Bi-Criteria Metric Distortion

Kiarash Banihashem · Diptarka Chakraborty · Shayan Jahan · Iman Gholami · MohammadTaghi Hajiaghayi · Mohammad Mahdavi · Max Springer

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

Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts

Yujie Lin · Kunquan Li · YiXuan Liao · Xiaoxin Chen · Jinsong Su

Bilinear relational structure fixes reversal curse and enables consistent model editing

Dong-Kyum Kim · Minsung Kim · Jea Kwon · Nakyeong Yang · Meeyoung Cha

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

BoGrape: Bayesian optimization over graphs with shortest-path encoded

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

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

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

Boosting for Predictive Sufficiency

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

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

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

Breaking Barriers: Do Reinforcement Fine-tuning Gains Transfer To Unseen Domains?

Chuxuan Hu · Yuxuan Zhu · Antony Kellermann · Caleb Biddulph · Suppakit Waiwitlikhit · Jason Benn · Daniel Kang

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

Jingquan Yan · Yuwei Miao · Peiran Yu · Junzhou Huang

Bridging Successor Measure and Online Policy Learning with Flow Matching-Based Representations

Haosen Shi · Jianda Chen · Sinno Jialin Pan

Bridging the Gap Between Promise and Performance for FP4 Quantization

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

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

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

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

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

BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching

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

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

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

Capturing Visual Environment Structure Correlates with Control Performance

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

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

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

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

Yuheng Shi · Xiaohuan Pei · Minjing Dong · Chang Xu

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

Causal Interpretation of Neural Network Computations with Contribution Decomposition (CODEC)

Joshua Melander · Zaki Alaoui · Shenghua Liu · Surya Ganguli · Stephen Baccus

Cautious Weight Decay

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

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

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

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

C-Evolve: Consensus-based Evolution for Prompt Groups

Tiancheng Li · Yuhang Wang · Zhiyang Chen · Zijun Wang · Liyuan Ma · Guo-Jun Qi

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

Xianglong Hou · Xinquan Huang · Paris Perdikaris

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

Yike Wu · Yiwei Wang · Yujun Cai

Characterizing Deep Research: A Benchmark and Formal Definition

Abhinav Java · Ashmit Khandelwal · Sukruta Midigeshi · Aaron Halfaker · Amit Jayant Deshpande · Navin Goyal · Ankur Gupta · Nagarajan Natarajan · Amit Sharma

Characterizing Human Semantic Navigation in Concept Production as Trajectories in Embedding Space

Felipe Toro-Hernández · Jesuino Vieira Filho · Rodrigo Cabral-Carvalho

CheckMate! Watermarking Graph Diffusion Models in Polynomial Time

Roberto Gheda · Abele Mălan · Robert Birke · Maksim Kitsak · Lydia Chen

Choices Speak Louder than Questions

Gyeongje Cho · Yeonkyoung So · Jaejin Lee

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

Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns

Dong Tian · Onur Celik · Gerhard Neumann

Circuit Insights: Towards Interpretability Beyond Activations

Elena Golimblevskaia · Aakriti Jain · Bruno Puri · Ammar Elsaid Mohamed Mohamed Ibrahim · Wojciech Samek · Sebastian Lapuschkin

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

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

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

CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer

Wenbo Nie · Zixiang Li · Renshuai Tao · Bin WU · Yunchao Wei · Yao Zhao

CoDA: Agentic Systems for Collaborative Data Visualization

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

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

Letian Zhou · Songhua Liu · Xinchao Wang

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

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

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

Kartik Sharma · Rakshit Trivedi

Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizer

Yecong Wan · Mingwen Shao · Renlong Wu · Wangmeng Zuo

Combinatorial Rising Bandits

Seokbin Song · Youngsik Yoon · Siwei Wang · Wei Chen · Jungseul Ok

Command-V: Training-Free Representation Finetuning Transfer

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

Communication-Efficient Decentralized Optimization via Double-Communication Symmetric ADMM

JINRUI HUANG · Runxiong Wu · Dong Liu · Jingguo Lan · Xueqin Wang

COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning

Xindi Wu · Hee Seung Hwang · Polina Kirichenko · Esin Tureci · Olga Russakovsky

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

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

Alessandro Trenta · Andrea Cossu · Davide Bacciu

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

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

CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs

Jiwan Kim · Kibum Kim · Sangwoo Seo · Chanyoung Park

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

Composition-Grounded Instruction Synthesis for Visual Reasoning

Xinyi Gu · Jiayuan Mao · Zhang-Wei Hong · Zhuoran Yu · Pengyuan Li · Dhiraj Joshi · Rogerio Feris · Zexue He

Composition of Memory Experts for Diffusion World Models

Sebastian Stapf · Pablo Acuaviva · Aram Davtyan · Paolo Favaro

Concept-based Adversarial Attack: a Probabilistic Perspective

Andi Zhang · Xuan Ding · Steven McDonagh · Samuel Kaski

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

CONCUR: A Framework for Continual Constrained and Unconstrained Routing

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

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

Confident and Adaptive Generative Speech Recognition via Conformal Risk Control

Amit Damri · Bracha Laufer-Goldshtein

Conformalized Survival Counterfactuals Prediction for General Right-Censored Data

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

Conformal Robustness Control: A New Strategy for Robust Decision

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

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

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

Consistency Geodesic Bridge: Image Restoration with Pretrained Diffusion Models

Jinhui HOU · Zhiyu Zhu · Junhui Hou

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

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

Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges

Andrea Testa · Søren Hauberg · Tamim Asfour · Leonel Rozo

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

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

Convergence of Muon with Newton-Schulz

Gyu Yeol Kim · Min-hwan Oh

Convex Efficient Coding

Will Dorrell · Peter Latham · James Whittington

CooperTrim: Adaptive Data Selection for Uncertainty-Aware Cooperative Perception

Shilpa Mukhopadhyay · Amit Roy-Chowdhury · Hang Qiu

Cortical Policy: A Dual-Stream View Transformer for Robotic Manipulation

Xuening Zhang · Qi Lv · Xiang Deng · Miao Zhang · Xingbo Liu · Liqiang Nie

COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting

Jeonghwan Im · Hyuk-Yoon Kwon

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

CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs

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

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

Covariate-Guided Clusterwise Linear Regression for Generalization to Unseen Data

Dohyun Bu · Hyunho Kim · JONGSEOK LEE

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

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

Lingfeng Zhou · Junhao Shi · Jin Gao · Dequan Wang

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

Cross-Domain Policy Optimization via Bellman Consistency and Hybrid Critics

Ming-Hong Chen · Kuan-Chen Pan · You-De Huang · Xi Liu · Ping-Chun Hsieh

Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets

Haruki Abe · Takayuki Osa · YUSUKE Mukuta · Tatsuya Harada

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

Grégoire DHIMOÏLA · Thomas Fel · Victor Boutin · Agustin Picard

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

Weining Fu · Kai Shu · Kui Xu · Qiangfeng Zhang

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

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

CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale

Zhun Wang · Tianneng Shi · Jingxuan He · Matthew Cai · Jialin Zhang · Dawn Song

DADA: Dual Averaging with Distance Adaptation

Mohammad Moshtaghifar · Anton Rodomanov · Daniil Vankov · Sebastian Stich

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

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

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

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

Dataset Distillation for Memorized Data: Soft Labels can Leak Held-Out Teacher Knowledge

Freya Behrens · Lenka Zdeborová

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

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

DCFold: Efficient Protein Structure Generation with Single Forward Pass

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

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

Arkadiy Saakyan · Najoung Kim · Smaranda Muresan · Tuhin Chakrabarty

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

Shuhua Yu · Dusan Jakovetic · Soummya Kar

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

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

KIHUN HONG · Sejun Park · Ganguk Hwang

Deep Learning with Learnable Product-Structured Activations

Saanjali S. Maharaj · Prasanth Nair

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

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

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

Delay Flow Matching

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

Demystifying Emergent Exploration in Goal-Conditioned RL

Mahsa Bastankhah · Grace Liu · Dilip Arumugam · Thomas L. Griffiths · Benjamin Eysenbach

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

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

Designing Affine-Invariant Neural Networks for Photometric Corruption Robustness and Generalization

Mounir Messaoudi · Quentin Rapilly · Sébastien Herbreteau · Anaïs Badoual · Charles Kervrann

Detection of unknown unknowns in autonomous systems

Ayan Banerjee · Sandeep Gupta

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

Yebo Wu · Jingguang Li · Zhijiang Guo · Li Li

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

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

Xiang Liu · Xuming Hu · Xiaowen Chu · Eunsol Choi

Differentiable Model Predictive Control on the GPU

Emre Adabag · Marcus Greiff · John Subosits · Thomas Lew

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

Differentially Private Equilibrium Finding in Polymatrix Games

Mingyang Liu · Gabriele Farina · Asuman Ozdaglar

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

Long Hoang · Wenxuan Zhang · Wei Lu

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Shansan Gong · Ruixiang Zhang · Huangjie Zheng · Jiatao Gu · Navdeep Jaitly · Lingpeng Kong · Yizhe Zhang

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

Zihao Zhao · Christopher Yeh · Lingkai Kong · Kai Wang

Diffusion Language Models are Provably Optimal Parallel Samplers

Haozhe Jiang · Nika Haghtalab · Lijie 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

Directional Textual Inversion for Personalized Text-to-Image Generation

Kunhee Kim · NaHyeon Park · Kibeom Hong · Hyunjung Shim

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

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

Bryon Tjanaka · Henry Chen · Matthew Fontaine · Stefanos Nikolaidis

Discovering alternative solutions beyond the simplicity bias in recurrent neural networks

William Qian · Cengiz Pehlevan

Discovering Diverse Behaviors via Temporal Contrastive Learning

Faisal Mohamed · Catherine Ji · Benjamin Eysenbach · Glen Berseth

Discrete Bayesian Sample Inference for Graph Generation

Ole Petersen · Marcel Kollovieh · Marten Lienen · Stephan Günnemann

Disentangled representation learning through unsupervised symmetry group discovery

Barthélémy Dang-Nhu · Louis Annabi · Sylvain ARGENTIERI

Disentangling Length Bias in Preference Learning via Response-Conditioned Modeling

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

Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models

Jiaming Zhang · CHE WANG · Yang Cao · Longtao Huang · Wei Yang Bryan Lim

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

Sachin Goyal · David Lopez-Paz · Kartik Ahuja

DistillKac: Few-Step Image Generation via Damped Wave Equations

Weiqiao Han · Chenlin Meng · Christopher Manning · Stefano Ermon

Distractor-free Generalizable 3D Gaussian Splatting

Yanqi Bao · Jing Liao · Jing Huo · Yang Gao

Distributional Consistency Loss: Beyond Pointwise Data Terms in Inverse Problems

George Webber · Andrew Reader

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

Diversity-Aware Online Prompt Assignment to Generative Models

Donya Jafari · Farzan Farnia

Divide and Abstract: Autoformalization via Decomposition and Abstraction Learning

Marcus Min · Yeqi Gao · Wilson Sy · Zhaoyu Li · Xujie Si · Osbert Bastani

dLLM - Rethinking Generation Beyond Autoregressive Models

Suhas Pai · Xiaojun Ren

DNOD: Deformable Neural Operators for Object Detection in SAR Images

GVS Mothish · J Rishi · Shobhit Kumar Shukla · Deepak Subramani

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

Xu Wang · Yan Hu · Wang Benyou · Difan Zou

Draft-based Approximate Inference for LLMs

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

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

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

Xiandong Zou · Ruihao Xia · Hongsong Wang · Pan Zhou

DRIFT: Decompose, Retrieve, Illustrate, then Formalize Theorems

Meiru Zhang · Philipp Borchert · Milan Gritta · Gerasimos Lampouras

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

Dr.LLM: Dynamic Layer Routing in LLMs

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

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

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

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

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

EAMET: ROBUST MASSIVE MODEL EDITING VIA EMBEDDING ALIGNMENT OPTIMIZATION

Yanbo Dai · Zhenlan Ji · Zongjie Li · Shuai Wang

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

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

Xiaofeng Tan · Wanjiang Weng · Haodong Lei · Hongsong Wang

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

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

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

Efficient Agent Training for Computer Use

Yanheng He · Jiahe Jin · Pengfei Liu

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

Efficient Learning on Large Graphs using a Densifying Regularity Lemma

Jonathan Kouchly · Ben Finkelshtein · Michael Bronstein · Ron Levie

Efficient Morphology–Control Co-Design via Stackelberg PPO under Non-Differentiable Leader–Follower Interfaces

Yanning Dai · Yuhui Wang · Dylan Ashley · Jürgen Schmidhuber

Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation

Fei Wu · Jia Hu · Geyong Min · Shiqiang Wang

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

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

Efficient Regression-based Training of Normalizing Flows for Boltzmann Generators

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

Efficient Testing for Correlation Clustering: Improved Algorithms and Optimal Bounds

Chengyuan Deng · Jie Gao · Songhua He · Chen Wang

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

Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking

Ali Saheb Pasand · Elvis Dohmatob

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

Nan Jiang · Ziyi Wang · Yexiang Xue

Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL

Manuel Serra Nunes · Atabak Dehban · Yiannis Demiris · José Santos-Victor

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

Junho Park · Andrew Ye · Taein Kwon

Elastic Optimal Transport: Theory, Application, and Empirical Evaluation

Pei Yang · Yuhang Zhuang · Qi Tan

Embedding-Based Context-Aware Reranker

Ye Yuan · Mohammad Amin Shabani · Siqi Liu

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

Emergent Coordination in Multi-Agent Language Models

Christoph Riedl

Empowering LLM Tool Invocation with Tool-call Reward Model

Da Ma · Ziyue Yang · Hongshen Xu · Haotian Fang · Lu Chen · Kai Yu

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

Enhancing Agentic Search via Data Synthesis on Hierarchical Constraint Satisfaction

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

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

Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval

Fanpu Cao · Lu Dai · Jindong Han · Hui Xiong

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

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

Enhancing Trustworthiness of Fine-Tuned LLMs via Regularized Subset Selection

Kumar Shubham · Nishant Sharma · Karn Tiwari · Prathosh AP

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

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

Escaping Policy Contraction: Contraction-Aware PPO (CaPPO) for Stable Language Model Fine-Tuning

Dun Yuan · Di Wu · Xue Liu

Estimating Dimensionality of Neural Representations from Finite Samples

Chanwoo Chun · Abdulkadir Canatar · SueYeon Chung · Daniel Lee

Evaluating Data Influence in Meta Learning

Chenyang Ren · Huanyi Xie · Shu Yang · Meng Ding · Dongrui Liu · Lijie Hu · Di Wang

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

Richard Strunk · Karnik Ram · Daniel Cremers

Evaluating SAE interpretability without generating explanations

Gonçalo Paulo · Nora Belrose

EventFlash: Towards Efficient MLLMs for Event-Based Vision

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

Evidence for Limited Metacognition in LLMs

Christopher Ackerman

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

Nathaniel Imel · Noga Zaslavsky

Exo-Plore: Exploring Exoskeleton Control Space through Human-aligned Simulation

Geonho Leem · Jaedong Lee · Jehee Lee · Seungmoon Song · Jungdam Won

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

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

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

Experience-based Knowledge Correction for Robust Planning in Minecraft

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

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

Explainable LLM Unlearning through Reasoning

Junfeng Liao · Qizhou Wang · Shanshan Ye · Xin Yu · Ling Chen · Zhen Fang

Explainable Mixture Models through Differentiable Rule Learning

Matthias Wilms · Sascha Xu · Jilles Vreeken

Explaining Grokking and Information Bottleneck through Neural Collapse Emergence

Keitaro Sakamoto · Issei Sato

Exploring Real-Time Super-Resolution: Benchmarking and Fine-Tuning for Streaming Content

Evgeney Bogatyrev · Khaled Abud · Ivan Molodetskikh · Nikita Alutis · Dmitriy Vatolin

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

Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding

Yoav Gelberg · Koshi Eguchi · Takuya Akiba · Edoardo Cetin

FACET: A Fragment-Aware Conformer Ensemble Transformer

Duy Nguyen · Trung Quoc 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

Fair Conformal Classification via Learning Representation-Based Groups

Senrong Xu · Yanke Zhou · Yuhao Tan · Zenan Li · Yuan Yao · Taolue Chen · Feng Xu · Xiaoxing Ma

Fair Policy Aggregation from Standard Policy Optimization

Ezgi Korkmaz

FALCON: Few-step Accurate Likelihoods for Continuous Flows

Danyal Rehman · Tara Akhound-Sadegh · Artem Gazizov · Yoshua Bengio · Alexander Tong

FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning

Liheng Yu · Zhe Zhao · Yuxuan Wang · Pengkun Wang · Xiaofeng Cao · Binwu Wang · Yang Wang

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

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

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

Faster Gradient Methods for Highly-smooth Stochastic Bilevel Optimization

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

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

Feature segregation by signed weights in artificial vision systems and biological models

Giordano Ramos-Traslosheros · Carlos Ponce

Federated Graph-Level Clustering Network with Dual Knowledge Separation

Xiaobao Wang · Renda Han · Ronghao Fu · Di Jin

Federated Learning of Quantile Inference under Local Differential Privacy

Leheng Cai · Qirui Hu · Shuyuan Wu

FERD: Fairness-Enhanced Data-Free Adversarial Robustness Distillation

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

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

Fine-Grained Iterative Adversarial Attacks with Limited Computation Budget

Zhichao Hou · Weizhi Gao · Xiaorui Liu

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

Hulingxiao He · Zijun Geng · Yuxin Peng

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

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

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

Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models

Anirudh Bharadwaj · Chaitanya Malaviya · Nitish Joshi · Mark Yatskar

Flipping the Dialogue: Training and Evaluating User Language Models

Tarek Naous · Philippe Laban · Wei Xu · Jennifer Neville

Flow Actor-Critic for Offline Reinforcement Learning

Jongseong Chae · Jongeui Park · Yongjae Shin · Gyeongmin Kim · Seungyul Han · Youngchul Sung

Flow-based Conformal Prediction for Multi-dimensional Time Series

Junghwan Lee · Chen Xu · Yao Xie

Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning

Prajwal Koirala · Cody Fleming

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

Yeonwoo Cha · Semin Kim · Jinhyeon Kwon · Seunghoon Hong

FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching

Bernardo Perrone Ribeiro · Jana Faganeli Pucer

Flow Expansion via Verifier-Constrained Noised State Space Exploration

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

FoNE: Precise Single-Token Number Embeddings via Fourier Features

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

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

Forget Forgetting: Continual Learning in a World of Abundant Memory

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

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

Foundation Models for Causal Inference via Prior-Data Fitted Networks

Yuchen Ma · Dennis Frauen · Emil Javurek · Stefan Feuerriegel

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

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

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

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

From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers

Jingtong Su · Julia Kempe · Karen Ullrich

From Curiosity to Caution: Mitigating Reward Hacking for Best-of-$N$ with Pessimism

Zhuohao Yu · Steven Wu · Adam Block

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

From Trajectories to Operators — A Unified Flow Map Perspective on Generative Modeling

Anbu Huang

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

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

Fernando Ruiz-Mazo · Vikas Garg

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

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

Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification

Hwa Hui Tew · Junn Yong Loo · Leong Yu · Julia Lau · Ding Fan · Hernando Ombao · Raphaël Phan · Chee Tan · Chee-Ming Ting

FutureMind: Equipping Small Language Models with Strategic Thinking-Pattern Priors via Adaptive Knowledge Distillation

Shaoxiong Yang · Junting Li · Mengyuan Zhang · Chao Li · WEI LIU · Jian Luan

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

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

GaitSnippet: Gait Recognition Beyond Unordered Sets and Ordered Sequences

Saihui Hou · Chenye Wang · Wenpeng Lang · Zhengxiang Lan · Yongzhen Huang

GAS: Enhancing Reward-Cost Balance of Generative Model-assisted Offline Safe RL

Zifan LIU · Xinran Li · Shibo Chen · Jun Zhang

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

Valentyn Melnychuk · Stefan Feuerriegel

GenCP: Towards Generative Modeling Paradigm of Coupled physics with Application to Fluid-Structure Interaction

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

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

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

General search techniques without common knowledge for imperfect-information games, and application to superhuman Fog of War chess

Brian Zhang · Tuomas Sandholm

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

Generative AI Archaeology

Desmond Elliott

Generative View Stitching

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

Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later

Arnaud Vadeboncoeur · Gregory Duthé · Mark Girolami · Eleni Chatzi

GhostEI-Bench: Do Mobile Agent Resilience to Environmental Injection in Dynamic On-Device Environments?

Chiyu Chen · Xinhao Song · Yunkai Chai · Yang Yao · Haodong Zhao · Lijun Li · Jie Li · Yan Teng · Gongshen Liu · Yingchun Wang

GOOD: Geometry-guided Out-of-Distribution Modeling for Open-set Test-time Adaptation in Point Cloud Semantic Segmentation

Tianpei Zou · Sanqing Qu · Guo Yu · Ya Wu · Fan Lu · Eric Zhongcong Xu · Zhang Bo · Ziqiao Wang · Guang Chen

GPS: Directed Acyclic Graph guided Proactive Information Seeking in Large Language Models

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

Gradient Descent with Large Step Sizes: Chaos and Fractal Convergence Region

Shuang Liang · Guido Montufar

Gradient-Normalized Smoothness for Optimization with Approximate Hessians

Andrei Semenov · Martin Jaggi · Nikita Doikov

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

Graph homophily booster: Rethinking the role of discrete features on heterophilic graphs

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

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

Robert Calef · Arthur Liang · Manolis Kellis · Marinka Zitnik

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

Siyuan Chen · Hang Ding · Xiaoyu Kang · Jiechao Gao

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

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

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

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

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

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

GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time

Divij Handa · Mihir Parmar · Aswin RRV · Md Nayem Uddin · Hamid Palangi · Chitta Baral

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

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

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

Weixuan Wang · Minghao Wu · Barry Haddow · Alexandra Birch

Healthcare Insurance Fraud Detection via Continual Fiedler Vector Graph Model

Yehan Zhang · Huaidong Zhang · Xuandi Luo · Shengfeng He

HEEGNet: Hyperbolic Embeddings for EEG

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

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

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

Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving

Chang Su · Zhongkai Hao · Zeyu Xia · Zhizhou Zhang · Youjia Wu · Hang Su · Jun Zhu

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

Devvrat Joshi · Islem Rekik

HiddenEcho: Mitigating Noise Amplification in Differentially Private LLMs with Hidden-State Correction

Wenhao Li · Kunhao Li · Lei Yang

Hierarchical Concept-based Interpretable Models

Oscar Hill · Mateo Espinosa Zarlenga · Mateja Jamnik

Hierarchical Encoding Tree with Modality Mixup for Cross-modal Hashing

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

Hierarchical Multi-Stage Recovery Framework for Kronecker Compressed Sensing

Yanbin He · Geethu Joseph

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

HiPO: Self-Hint Policy Optimization for RLVR

Deng Qiyuan · Kehai Chen · Min Zhang · Zhongwen Xu

HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation

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

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

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

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

HOTA: Hamiltonian framework for Optimal Transport Advection

Nazar Buzun · Daniil Shlenskii · Maksim Bobrin · Dmitry Dylov

How Dark Patterns Manipulate Web Agents

Phil Cuvin · Hao Zhu · Diyi Yang

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

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

How reinforcement learning after next-token prediction facilitates learning

Nikolaos Tsilivis · Eran Malach · Karen Ullrich · Julia Kempe

How to Lose Inherent Counterfactuality in Reinforcement Learning

Ezgi Korkmaz

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

Human-AI Curation Synergy: Scaling Preference Data Curation via Human-Guided AI Feedback

Yuhao Liu · Liang Zeng · Yuzhen Xiao · Jujie He · Jiacai Liu · Chaojie Wang · Rui Yan · Wei Shen · Fuxiang Zhang · Jiacheng Xu · Yang Liu

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

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

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

Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization

Yunzhe Hu · Difan Zou · Dong Xu

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

Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models

Wonjeong Choi · Sejong Ryu · JungMoon Lee · Dong-Jun Han · Jaekyun Moon

Identity-Free Deferral For Unseen Experts

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

Imitation Learning as Return Distribution Matching

Filippo Lazzati · Alberto Maria Metelli

Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime

Beomhan Baek · Minhak Song · Chulhee Yun

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

Francesco D'Amico · Dario Bocchi · Matteo Negri

Improved Adversarial Diffusion Compression for Real-World Video Super-Resolution

Bin Chen · Weiqi Li · Shijie Zhao · Xuanyu Zhang · Junlin Li · Li zhang · Jian Zhang

Improving LLM Alignment with References

Kejian Shi · Yixin Liu · Peifeng Wang · Alexander Fabbri · Shafiq Joty · Arman Cohan

Improving Text-guided CAD Prototyping via Modality-Specific Tokenization

Ruiyu Wang · Shizhao Sun · Weijian Ma · Jiang Bian

Incentives in Federated Learning with Heterogeneous Agents

Ariel Procaccia · Han Shao · Itai Shapira

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

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

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

In Context Semi-Supervised Learning

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

In-Context Watermarks for Large Language Models

Yepeng Liu · Xuandong Zhao · Christopher Kruegel · Dawn Song · Yuheng Bu

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

Yiqing Li · Xiaofei Wang · Boyang Sun · Yewei Xia · Kun 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

Inference-Time Scaling of Discrete Diffusion Models via Importance Weighting and Optimal Proposal Design

Zijing Ou · Chinmay Pani · Yingzhen Li

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

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

InfGen: Scenario Generation as Next Token Group Prediction

Zhenghao Peng · Yuxin Liu · Bolei Zhou

Intention-Conditioned Flow Occupancy Models

Chongyi Zheng · Seohong Park · Sergey Levine · Benjamin Eysenbach

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

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

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

Is Pure Exploitation Sufficient in Exogenous MDPs with Linear Function Approximation?

Hao Liang · Jiayu Cheng · Sean Sinclair · Yali Du

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

Boshi Wang · Huan Sun

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

IterResearch: Rethinking Long-Horizon Agents via Markovian State Reconstruction

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

JailbreakLoRA: Your Downloaded LoRA from Sharing Platforms might be Unsafe

Fanjunduo Wei · Zhenheng Tang · Rongfei Zeng · Tongliang Liu · Chengqi Zhang · Xiaowen Chu · Bo Han

Jailbreak Transferability Emerges from Shared Representations

Rico Angell · Jannik Brinkmann · He He

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

Joint Distribution–Informed Shapley Values for Sparse Counterfactual Explanations

Lei You · Yijun Bian · Lele Cao

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

Gust Verbruggen · Chris Parnin · Vu Le · Sumit Gulwani

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

KANO: Kolmogorov-Arnold Neural Operator

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

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

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

Yinyi Luo · Zhexian Zhou · Hao Chen · Kai Qiu · Marios Savvides · Yixuan Li · Jindong Wang

KnowProxy: Adapting Large Language Models by Knowledge-guided Proxy

Gukhyeon Lee · Yeachan Kim · SANGKEUN LEE

KV-Cache Transform Coding for Compact Storage in LLM Inference

Konrad Staniszewski · Adrian Lancucki

Language-guided Open-world Video Anomaly Detection under Weak Supervision

Zihao Liu · Xiaoyu Wu · Jianqin Wu · Xuxu Wang · Linlin Yang

Latent Concept Disentanglement in Transformer-based Language Models

Guan Zhe Hong · Bhavya Vasudeva · Vatsal Sharan · Cyrus Rashtchian · Prabhakar Raghavan · Rina Panigrahy

Latent Fourier Transform

Mason Wang · Anna Huang

Latent Geometry-Driven Network Automata for Complex Network Dismantling

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

Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better

Ji Zhao · Shitong Shao · Yufei Gu · Xun Zhou · liang xiang · Zeke Xie

LayerSync: Self-aligning Intermediate Layers

Yasaman Haghighi · Bastien Van Delft · Mariam Hassan · Alexandre Alahi

Lean Finder: Semantic Search for Mathlib That Understands User Intents

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

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

Alaa Nfissi · Wassim Bouachir · Nizar Bouguila · Brian Mishara

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

Learning-Augmented Moment Estimation on Time-Decay Models

Soham Nagawanshi · Shalini Panthangi · Chen Wang · David Woodruff · Samson Zhou

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

Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching

Junn Yong Loo · Fang Yu Leong · Michelle Adeline · Julia Kaiwen Lau · Hwa Hui Tew · Arghya Pal · Vishnu Monn Baskaran · Chee-Ming Ting · Raphaël C.-W. Phan

Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects

Shishir Adhikari · Sourav Medya · Elena Zheleva

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

Jan Tönshoff · Martin Grohe

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

Yuanfan Li · Qi Zhou · Zexuan Xie

Learning From the Past with Cascading Eligibility Traces

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

Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme

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

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

Vahid Shahverdi · Giovanni Luca Marchetti · Kathlén Kohn

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

Lu Sun · Jun Sakuma

Learning to Adapt: In-Context Learning Beyond Stationarity

Zhen Qin · Jiachen Jiang · Zhihui Zhu

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

Learning to Reason over Continuous Tokens with Reinforcement Learning

Yiran Zhao · Yuhui Xu · Doyen Sahoo · Caiming Xiong · Junnan Li

Learning to Segment for Vehicle Routing Problems

Wenbin Ouyang · Sirui Li · Yining Ma · Cathy Wu

Learning to Weight Parameters for Data Attribution

Shuangqi Li · Hieu Le · Jingyi Xu · Mathieu Salzmann

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

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

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 · Mustafa Shukor · Jess Moss · Alexander Soare · Dana Aubakirova · Quentin Lhoest · Quentin Gallouédec · Thomas Wolf

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

Lifelong Learning with Behavior Consolidation for Vehicle Routing

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

Lightweight Spatio-Temporal Modeling via Temporally Shifted Distillation for Real-Time Accident Anticipation

Patrik Patera · Yie-Tarng Chen · Wen-Hsien Fang

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

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

LinguaMap: Which Layers of LLMs Speak Your Language and How to Tune Them?

J. Ben Tamo · Daniel Carlander-Reuterfelt · Jonathan Rubin · Dezhi Hong · Mingxian Wang · Oleg Poliannikov

LiteGuard: Efficient Task-Agnostic Model Fingerprinting with Enhanced Generalization

Guang Yang · Ziye Geng · Yihang Chen · Changqing Luo

LiveWeb-IE: A Benchmark For Online Web Information Extraction

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

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

LLM DNA: Tracing Model Evolution via Functional Representations

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

Loc$^{2}$: Interpretable Cross-View Localization via Depth-Lifted Local Feature Matching

Zimin Xia · Chenghao Xu · Alexandre Alahi

Local Geometry Attention for Time Series Forecasting under Realistic Corruptions

Dongbin Kim · Youngjoo Park · Woojin Jeong · Jaewook Lee

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

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

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

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

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

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

LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards

Guanzheng Chen · Michael Qizhe Shieh · Lidong Bing

Low-Latency Neural LiDAR Compression with 2D Context Models

Rui Song · Yan Wang · Tongda Xu · Zhening Liu · Zehong Lin · Jun Zhang

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

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

Rui Lv · 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

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

Yongliang Jiang · Huaidong Zhang · Xuandi Luo · Shengfeng He

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

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

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

Maximizing Asynchronicity in Event-based Neural Networks

Haiqing Hao · Nikola Zubic · Weihua He · Zhipeng Sui · Davide Scaramuzza · Wenhui Wang

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

Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark

Xinjie Shen · Mufei Li · Pan Li

Mechanistic Detection and Mitigation of Hallucination in Large Reasoning Models

Zhongxiang Sun · Qipeng Wang · Haoyu Wang · Xiao Zhang · Jun Xu

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

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

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

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

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

Membrane Potential Perturbation Dynamic Is Total Variation

Zhao-Rong Lai · Xiwen Yuan · Ziliang Chen · Liangda Fang · Yongsen Zheng

Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning

Egor Cherepanov · Nikita Kachaev · Alexey Kovalev · Aleksandr Panov

Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models

Yujin Jo · Taesup Kim

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

Fuli Qiao · Mehrdad Mahdavi

Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering

Akash Gupta · Amos Storkey · Mirella Lapata

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

Minimax Optimal Adversarial Reinforcement Learning

Yudan Wang · Kaiyi Ji · Ming Shi · Shaofeng Zou

MiSS: Revisiting the Trade-off in LoRA with an Efficient Shard-Sharing Structure

Jiale Kang · Qingyu Yin

Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity

Noa Rubin · Orit Davidovich · Zohar Ringel

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

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

MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models

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

MobileCLIP2: Improving Multi-Modal Reinforced Training

Fartash Faghri · Pavan Kumar Anasosalu Vasu · Cem Koc · Vaishaal Shankar · Alexander T Toshev · Oncel Tuzel · Hadi Pouransari

MobileIPL: Enhancing Mobile Agents Thinking Process via Iterative Preference Learning

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

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

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

Monitoring Decomposition Attacks with Lightweight Sequential Monitors

Chen Yueh-Han · Nitish Joshi · Yulin Chen · Maksym Andriushchenko · Rico Angell · He He

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

Multi-Bellman operator for convergence of Q-learning with linear function approximation

Diogo S. Carvalho · Pedro A. Santos · Francisco S. Melo

Multi-Condition Conformal Selection

Qingyang Hao · Wenbo Liao · Bingyi Jing · Hongxin Wei

Multi-Resolution Score-Based Variational Graphical Diffusion for Causal Inference on Latent Systems

Xuechun Li · Shan Gao · Susu Xu

MuonBP: Faster Muon via Block-Periodic Orthogonalization

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

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

MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning

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

Naming to Learn: Class Incremental Learning for Vision-Language Model with Unlabeled Data

Qiwei Li · Xiaochen Yang · Jiahuan Zhou

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

NatADiff: Adversarial Boundary Guidance for Natural Adversarial Diffusion

Max Collins · Jordan Vice · Tim French · Ajmal Mian

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

Near-Optimal Sample Complexity Bounds for Constrained Average-Reward MDPs

Yukuan Wei · Xudong Li · Lin Yang

Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning

Shangzhe Li · Dongruo Zhou · Weitong Zhang

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

NePTune: A Neuro-Pythonic Framework for Tunable Compositional Reasoning on Vision-Language

Danial Kamali · Parisa Kordjamshidi

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

Ekaterina Borodich · Dmitry Kovalev

Neural Compression of 3D Meshes using Sparse Implicit Representation

Jianqiang Wang · Siyu Ren · Junhui Hou

Neural Graduated Assignment for Maximum Common Edge Subgraphs

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

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

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

Neuron-Level Analysis of Cultural Understanding in Large Language Models

Taisei Yamamoto · Ryoma Kumon · Danushka Bollegala · Hitomi Yanaka

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

Shaocong Ma · Peiran Yu · Heng Huang

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

Slavomir Hanzely · Farshed Abdukhakimov · Martin Takáč

NIMO: a Nonlinear Interpretable MOdel

Shijian Xu · Marcello Negri · Volker Roth

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

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

Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning

Hengwei Zhao · Zhengzhong Tu · Zhuo Zheng · Wei Wang · Junjue Wang · Rusty Feagin · Wenzhe Jiao

Non-Asymptotic Analysis of (Sticky) Track-and-Stop

Riccardo Poiani · Martino Bernasconi · Andrea Celli

Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds

Sujoy Bhore · Liana Khazaliya · Fionn Mc Inerney

Non-Collaborative User Simulators for Tool Agents

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

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

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

Not All Bits Are Equal: How Model Scale Changes Memory-Optimal Reasoning

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

Nüwa: Mending the Spatial Integrity Torn by VLM Token Pruning

Yihong Huang · Fei Ma · Yihua Shao · Jingcai Guo · Zitong YU · Laizhong Cui · Qi Tian

Object-Centric Refinement for Enhanced Zero-Shot Segmentation

Srinivasa Rao Nandam · Sara Atito · Zhenhua Feng · Josef Kittler · Muhammad Awais

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

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning

Aravind Venugopal · Jiayu Chen · Xudong Wu · Chongyi Zheng · Benjamin Eysenbach · Jeff Schneider

Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?

Aochong Li · Tanya Goyal

OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning

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

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

On Discovering Algorithms for Adversarial Imitation Learning

Shashank Reddy Chirra · Jayden Teoh · Praveen Paruchuri · Pradeep Varakantham

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

One Skill, Many Websites: Learning Generalizable Skills Through Polymorphic Abstraction

Simon Yu · Gang Li · Weiyan Shi · Peng Qi

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

One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Learning

Xuan Thanh Nguyen · Chang Yoo

On Fairness of Task Arithmetic: The Role of Task Vectors

Laura Gomezjurado Gonzalez · Hiroki Naganuma · Kotaro Yoshida · Takafumi Horie · Yuji Naraki · Ryotaro Shimizu

Online Learning and Equilibrium Computation with Ranking Feedback

Mingyang Liu · Yongshan Chen · Zhiyuan Fan · Gabriele Farina · Asuman Ozdaglar · Kaiqing Zhang

On Natural Ways to Generate and Their Provable Power

Chenxiao Yang · Cai Zhou · David Wipf · Zhiyuan Li

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

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 · Xianglong Liu · Qi Dou · Yaodong Yang · Huijie Zhao · Weifeng Lv · Simin Li

On the Alignment Between Supervised and Self-Supervised Contrastive Learning

Achleshwar Luthra · Priyadarsi Mishra · Tomer Galanti

On the Bayes Inconsistency of Disagreement Discrepancy Surrogates

Neil G Marchant · Andrew Cullen · Feng Liu · Sarah Erfani

On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation

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 Expressive Power of GNNs for Boolean Satisfiability

Saku Peltonen · Roger Wattenhofer

On the Impact of the Utility in Semivalue-based Data Valuation

Mélissa Tamine · Benjamin Heymann · Patrick Loiseau · Maxime Vono

On the Interpolation Effect of Score Smoothing in Diffusion Models

Zhengdao Chen

On the Predictive Power of Representation Dispersion in Language Models

Yanhong Li · Ming Li · Karen Livescu · Jiawei Zhou

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

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

OpenEstimate: Evaluating LLMs on Probabilistic Estimation with Real-World Data

Alana Marzoev · Jacob Andreas · Jillian Ross

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

Opponent Shaping in LLM Agents

Marta Emili Garcia Segura · Stephen Hailes · Mirco Musolesi

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

Optimistic Task Inference for Behavior Foundation Models

Thomas Rupf · Marco Bagatella · Marin Vlastelica · Andreas Krause

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

Out of the Memory Barrier: A Highly Memory-Efficient Training System for LLMs with Million-Token Contexts

Wenhao Li · Daohai Yu · Gen Luo · Yuxin Zhang · Yifan Wu · Jiaxin Liu · Ziyang Gong · Zimu Liao · Fei Chao · Rongrong Ji

Outrageously Large Context Windows via RACE Attention -- A Family of Non-Linear Attention that can be calculated in Strictly Linear-Time

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

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

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

Panda: A pretrained forecast model for chaotic dynamics

Jeffrey Lai · Anthony Bao · William Gilpin

Panoptic Pairwise Distortion Graph

Muhammad Kamran Janjua · Abdul Wahab · Bahador Rashidi

Parameterized Hardness of Zonotope Containment and Neural Network Verification

Vincent Froese · Moritz Grillo · Christoph Hertrich · Moritz Stargalla

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

Patching Gaps In LLM Reasoning With Interventional Training

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

Path Matters: Unveiling Geometric Implicit Bias via Curvature-Aware Sparse View Optimization

Canran Xiao · Liaoyuan Fan · Yanbin Li · Jing Tang · Peilai Yu

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

Qiwei Tian · Chenhao Lin · Zhengyu Zhao · Chao Shen

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

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

Performative Prediction made practical

Javier Sanguino Bautiste · Thomas Kehrenberg · Carlos Rosety · Jose A. Lozano · Novi Quadrianto

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

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

PERSISTENCE SPHERES: BI-CONTINUOUS REPRESENTATIONS OF PERSISTENCE DIAGRAMS.

Matteo Pegoraro

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

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

PetaGAIL++: Utility Optimized Private Trajectory Generation with Imitation Learning

Yingjie Ma · Bijal Bharadva · Xin Zhang · Joann Qiongna Chen

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

Daiki Yoshikawa · Takashi Matsubara

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

PICS: Pairwise Image Compositing with Spatial Interactions

Hang Zhou · Xinxin Zuo · Sen Wang · Li Cheng

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

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

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

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

Pitfalls in Evaluating Language Model Forecasters

Daniel Paleka · Shashwat Goel · Jonas Geiping · Florian Tramer

Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction

Simon Giebenhain · Tobias Kirschstein · Martin Rünz · Lourdes Agapito · Matthias Niessner

PLAGUE: Plug-and-play Framework for Lifelong Adaptive Generation of Multi-turn Exploits

Neeladri Bhuiya · Madhav Aggarwal · Diptanshu Purwar

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

PMI: Flow-Based Inversion Correction via Proximal Operator

Chenru Wang · Beier Zhu · Chi Zhang

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

Rishikesh Srinivasan · Dheeraj Nagaraj

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

Sayak Chakrabarti · Toniann Pitassi · Josh Alman

Polychromic Objectives for Reinforcement Learning

Jubayer Hamid · Ifdita Orney · Ellen Xu · Chelsea Finn · Dorsa Sadigh

PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression

Fabian Fumagalli · R. Teal Witter · Christopher Musco

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

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

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

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

Probability Distributions Computed by Hard-Attention Transformers

Andy Yang · Anej Svete · Jiaoda Li · Anthony W. Lin · Jonathan Rawski · Ryan Cotterell · David Chiang

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

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

ProxyThinker: Test-Time Guidance through Small Visual Reasoners

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

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

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

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

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

Pyramid Patchification Flow for Visual Generation

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

Q&C: When Quantization Meets Cache in Efficient Generation

Xin Ding · Xin Li · Haotong Qin · Zhibo Chen

Q-Learning with Fine-Grained Gap-Dependent Regret

Haochen Zhang · Zhong Zheng · Lingzhou Xue

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

Shihao Zhang · Haoyu Zhang · Ian Colbert · Rayan Saab

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

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

QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification

Weilun Feng · Chuanguang Yang · Haotong Qin · Mingqiang Wu · Yuqi Li · Xiangqi Li · Zhulin An · Libo Huang · Yulun Zhang · Michele Magno · Yongjun Xu

Quantum machine learning advantages beyond hardness of evaluation

Riccardo Molteni · Simon Marshall · Vedran Dunjko

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

Quotient-Space Diffusion Model

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

QuRL: Rubrics As Judge For Open-Ended Question Answering

Xiyu Wei · Qingwei Zong · Xiaoguang Li · Eugene Yu · Sujian Li

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

R2-Dreamer: Redundancy-Reduced World Models without Decoders or Augmentation

Naoki Morihira · Amal Nahar · Kartik Bharadwaj · Yasuhiro Kato · Akinobu Hayashi · Tatsuya Harada

RAG4DMC: Retrieval-Augmented Generation for Data-Level Modality Completion

Ningxin He · Yongheng Deng · Sheng Yue · Yongjian Fu · Zhangzehui · Tiegang Gao

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

Xinyao Wu · Zhe Xu · Raymond Kai-yu Tong

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

RATE-DISTORTION OPTIMIZED COMMUNICATION FOR COLLABORATIVE PERCEPTION

Genjia Liu · Anning Hu · Yue Hu · Wenjun Zhang · Siheng Chen

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

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

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

RealBench: 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

Real-Time Motion-Controllable Autoregressive Video Diffusion

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

Real-Time Robot Execution with Masked Action Chunking

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

Reasoning Boosts Opinion Alignment in LLMs

Frédéric Berdoz · Yann Billeter · Yann Vonlanthen · Roger Wattenhofer

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

Reconciling Visual Perception and Generation in Diffusion Models

Liulei Li · Yi Yang · Wenguan Wang

ReDDiT: Rehashing Noise for Discrete Visual Generation

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

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

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

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

Jiaxuan Chen · Yu Qi · Yueming Wang · Gang Pan

ReFeR: Improving Evaluation and Reasoning through Hierarchy of Models

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

Reinforcement Learning for Machine Learning Engineering Agents

Sherry Yang · Joy He-Yueya · Percy Liang

Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems

Zhangchi Zhu · Wei Zhang

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

Relative Entropy Pathwise Policy Optimization

Claas Voelcker · Axel Brunnbauer · Marcel Hussing · Michal Nauman · Pieter Abbeel · Radu Grosu · ERIC EATON · Amir-massoud Farahmand · Igor Gilitschenski

Relatron: Automating Relational Machine Learning over Relational Databases

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

Reliable Weak-to-Strong Monitoring of LLM Agents

Neil Kale · Chen Bo Calvin Zhang · Kevin Zhu · Ankit Aich · Paula Rodriguez · Christina Knight · Zifan Wang

Representation-Based Exploration for Language Models: From Test-Time to Post-Training

Jens Tuyls · Dylan Foster · Akshay Krishnamurthy · Jordan Ash

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

Repurposing Foundation Model for Generalizable Medical Time Series Classification

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

Rescue: Retrieval Augmented Secure Code Generation

Jiahao Shi · Tianyi Zhang

Residual Feature Integration is Sufficient to Prevent Negative Transfer

Yichen Xu · Ryumei Nakada · Linjun Zhang · Lexin Li

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

Youngho Yoon · Kuk-Jin Yoon

Rethinking Causal Mask Attention for Vision-Language Inference

Xiaohuan Pei · Tao Huang · Yanxiang Ma · Chang Xu

Rethinking Continual Learning with Progressive Neural Collapse

Zheng Wang · Wanhao Yu · Li Yang · Sen Lin

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

Rethinking Model Calibration through Spectral Entropy Regularization in Medical Image Segmentation

Kun Cheng · Yukun Zhang · William Nailon · Tonggang Zhao

Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval

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

Reverse Distillation: Disentangling and Scaling Protein Language Model Representations

Darius Catrina · Christian Bepler · Samuel Sledzieski · Rohit Singh

Revisiting [CLS] and Patch Token Interaction in Vision Transformers

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

Revisiting Confidence Calibration for Misclassification Detection in VLMs

Jincheng Huang · Jie Xu · Xiaoshuang Shi · Ping Hu · Lei Feng · Xiaofeng Zhu

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

Revisiting Multimodal Positional Encoding in Vision–Language Models

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

Revisiting Nonstationary Kernel Design for Multi-Output Gaussian Processes

Qiaochu Xu · Zi Yang · Ying Li · Michael Minyi Zhang · Pablo Olmos

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

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

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 · Matthias Keicher · Nassir Navab

Reward Models Inherit Value Biases from Pretraining

Brian Christian · Jessica Thompson · Elle Michelle Yang · Vincent Adam · Hannah Kirk · Christopher Summerfield · Tsvetomira Dumbalska

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

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

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

Riemannian Federated Learning via Averaging Gradient Streams

Zhenwei Huang · Wen Huang · Pratik Jawanpuria · Bamdev Mishra

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

Artavazd Maranjyan · Peter Richtarik

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

Jiping Li · Rishi Sonthalia

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

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

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

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

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

Robust Decision-Making with Partially Calibrated Forecasters

Shayan Kiyani · Hamed Hassani · George Pappas · Aaron Roth

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

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

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

Desong Zhang · Jia Hu · Geyong Min

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

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

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

Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs

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

RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation

Jane Luo · Xin Zhang · Steven Liu · Jie Wu · Yiming Huang · Yangyu Huang · Chengyu Yin · Ying Xin · Jianfeng Liu · Yuefeng Zhan · Hao Sun · Qi Chen · Scarlett Li · Mao Yang

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

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

Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form

Xuefeng Wang · Lei Zhang · Henglin Pu · Husheng Li · Ahmed Hussain Qureshi

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

Mingyu Kim · Young-Heon Kim · Mijung Park

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

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

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

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

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

Sampling-aware Adversarial Attacks Against Large Language Models

Tim Beyer · Yan Scholten · Leo Schwinn · Stephan Günnemann

Scalable Exploration for High-Dimensional Continuous Control via Value-Guided Flow

Yunyue Wei · Chenhui Zuo · Yanan Sui

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

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

Scaling Direct Feedback Learning with Theoretical Guarantees

Paul Caillon · Erwan Fagnou · Blaise Delattre · Alexandre Allauzen

Scaling Laws and Symmetry, Evidence from Neural Force Fields

Nhat Khang Ngo · Siamak Ravanbakhsh

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

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

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

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

Search Self-Play: Pushing the Frontier of Agent Capability without Supervision

Hongliang Lu · Yuhang Wen · Pengyu Cheng · Ruijin Ding · Haotian Xu · Jiaqi Guo · Chutian Wang · Haonan Chen · xiaoxi jiang · guanjunjiang

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

Seeing What’s Wrong: A Trajectory-Guided Approach to Caption Error Detection

Gabriel Afriat · Ryan Lucas · Xiang Meng · Yufang Hou · Yada Zhu · Rahul Mazumder

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

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

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

Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning

Daniel Lawson · Adriana Hugessen · Charlotte Cloutier · Glen Berseth · Khimya Khetarpal

Self-Supervised Learning from Structural Invariance

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

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

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

Semi-Parametric Contextual Pricing with General Smoothness

Yuxuan Han · Xiaocong Xu · Yuxiao Wen · Yanjun Han · Ilan Lobel · Zhengyuan Zhou

Sem-MoE: Semantic-aware Model-Data Collaborative Scheduling for Efficient MoE Inference

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

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

Puria Radmard · Paul Bays · Máté Lengyel

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

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

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

YEJUN SOUN · Hosung Lee · Suyoung Park · U Kang

Signal in the Noise: Polysemantic Interference Transfers and Predicts Cross-Model Influence

Bofan Gong · Shiyang Lai · James Evans · Dawn Song

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

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

SketchEvo: Leveraging Drawing Dynamics for Enhanced Image Synthesis

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

Skirting Additive Error Lower Bounds for Private Turnstile Streams

Anders Aamand · Justin Chen · Sandeep Silwal

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 · Jun Zhu · Jianfei Chen

sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals

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

Slicing Wasserstein over Wasserstein via Functional Optimal Transport

Moritz Piening · Robert Beinert

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

Yuhan Liu · Lianhui Qin · Shenji Wan

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

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

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

Smooth Calibration Error: Uniform Convergence and Functional Gradient Analysis

Futoshi Futami · Atsushi Nitanda

SNAPHARD CONTRAST LEARNING

Changpu Meng · Jie Yang · Wanqing Li · Yi Guo

Social Agents: Collective Intelligence Improves LLM Predictions

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

Soft-Di[M]O: Improved one-step Image Discrete Model

Yuanzhi Zhu · Xi WANG · Stéphane Lathuilière · Vicky Kalogeiton

Soft Equivariance Regularization for Invariant Self-Supervised Learning

Joohyung Lee · Changhun Kim · Hyunsu Kim · Kwanhyung Lee · Juho Lee

Softmax is not Enough (for Adaptive Conformal Classification)

Navid Akhavan Attar · Hesam Asadollahzadeh · Ling Luo · Uwe Aickelin

Soft Tokens, Hard Truths

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

Solving General-Utility Markov Decision Processes in the Single-Trial Regime with Online Planning

Pedro Santos · Alberto Sardinha · Francisco S. Melo

Some Neural Networks Inherently Preserve Subspace Clustering Structure

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

Sparling: End-to-End Spatial Concept Learning via Extremely Sparse Activations

Kavi Gupta · Osbert Bastani · Armando Solar-Lezama

Sparsity Forcing: Reinforcing Token Sparsity of MLLMs

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

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

Sungho Park · Jueun Kim · Wook-Shin Han

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

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

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

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

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

Spherical Watermark: Encryption-Free, Lossless Watermarking for Diffusion Models

Xiaoxiao Hu · Jiaqi Jin · Sheng Li · Wanli Peng · Xinpeng Zhang · Zhenxing Qian

Splat Regression Models

Mara Daniels · Philippe Rigollet

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

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

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

Sedjro Salomon Hotegni · Sebastian Peitz

Square Peg, Round Hole: Plugging Non-Sequential Data into Sequential Language Models

Julia Balla · Hannah Lawrence

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

SR-Scientist: Scientific Equation Discovery With Agentic AI

Shijie Xia · Yuhan Sun · Pengfei Liu

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

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

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

Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game

Barna Pásztor · Thomas Kleine Buening · Andreas Krause

STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure TransFormer for Offline Mulit-task Multi-agent Reinforcement Learning

Jiwon Jeon · Myungsik Cho · Youngchul Sung

Statistical Guarantees for Offline Domain Randomization

Arnaud Fickinger · Abderrahim Bendahi · Stuart Russell

Steering Embedding Models with Geometric Rotation: Mapping Semantic Relationships Across Languages and Models

Michael Freenor · Lauren Alvarez

Steering Evaluation-Aware Language Models To Act Like They Are Deployed

Tim Hua · Andrew Qin · Samuel Marks · Neel Nanda

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

STEM: SCALING TRANSFORMERS WITH EMBEDDING MODULES

Ranajoy Sadhukhan · Sheng Cao · Harry Dong · Changsheng Zhao · Attiano Purpura-Pontoniere · Yuandong Tian · Zechun Liu · Beidi Chen

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

StoryAlign: Evaluating and Training Reward Models for Story Generation

Haotian Xia · Hao Peng · Yunjia Qi · Xu Bin · Lei Hou · Juanzi Li

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

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

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

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

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

Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling

Matthieu Blanke · Yongquan Qu · Sara Shamekh · Pierre Gentine

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

Structural Inference: Interpreting Small Language Models with Susceptibilities

Garrett Baker · George Wang · Jesse Hoogland · Vinayak Pathak · Daniel Murfet

Structured Flow Autoencoders: Learning Structured Probabilistic Representations with Flow Matching

Yidan Xu · Yixin Wang · XuanLong Nguyen

Structured Reasoning for LLMs: A Unified Framework for Efficiency and Explainability

Yubo Dong · Hehe Fan · Linchao Zhu · Yi Yang

Subquadratic Algorithms and Hardness for Attention with Any Temperature

Shreya Gupta · Boyang Huang · Barna Saha · Yinzhan Xu · Christopher Ye

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

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

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

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

SUSD: Structured Unsupervised Skill Discovery through State Factorization

Seyed Mohammad Hadi Hosseini · Mahdieh Baghshah

Swap-guided Preference Learning for Personalized Reinforcement Learning from Human Feedback

Gihoon Kim · Euntai Kim

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

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

Systematic Biosafety Evaluation of DNA Language Models under Jailbreak Attacks

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

Talking Points: Describing and Localizing Pixels

Matan Rusanovsky · Shimon Malnick · Shai Avidan

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

Taming Polysemanticity in LLMs: Theory-Grounded Feature Recovery via Sparse Autoencoders

Siyu Chen · Heejune Sheen · Xuyuan Xiong · Tianhao Wang · Zhuoran Yang

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

Task-free Adaptive Meta Black-box Optimization

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

Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models

Ron Vainshtein · Zohar Rimon · Shie Mannor · Chen Tessler

Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insights

Haolin Yang · Hakaze Cho · Kaize Ding · Naoya Inoue

TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning

Marco Bagatella · Matteo Pirotta · Ahmed Touati · Alessandro Lazaric · Andrea Tirinzoni

Teaching LLMs to Admit Uncertainty in OCR

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

TEDM: Time Series Forecasting with Elucidated Diffusion Models

Edgardo Solano Carrillo · Sreerag Vadakkemeppully Naveenachandran · Julia Niebling

Tell me Habibi, is it Real or Fake?

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

Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning

Haoran Dang · Cuiling Lan · Hai Wan · Xibin Zhao · Yan Lu

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

Temporally Detailed Hypergraph Neural ODE for Type 2 Diabetes Progression Modeling

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

Temporal Slowness in Central Vision Drives Semantic Object Learning

Timothy Schaumlöffel · Arthur Aubret · Gemma Roig · Jochen Triesch

Terminal Velocity Matching

Linqi Zhou · Mathias Parger · Ayaan Haque · Jiaming Song

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

Harris Abdul Majid · Pietro Sittoni · Francesco Tudisco

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

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

Arpan Mukherjee · Marcello Bullo · Debabrota Basu · Deniz Gunduz

Text2Grad: Reinforcement Learning from Natural Language Feedback

Hanyang Wang · Lu Wang · Chaoyun Zhang · Tianjun Mao · Si Qin · Qingwei Lin · Saravan Rajmohan · Dongmei Zhang

Text-Aware Image Restoration with Diffusion Models

Jaewon Min · Jin Kim · Paul Cho · Jaeeun Lee · Jihye Park · Hyunhee Park · Seungryong Kim · Park Kyu · Sangpil Kim

Textual Equilibrium Propagation for Deep Compound AI Systems

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

The effect of feature resolution on embedding dimension

Louise Beyers · Ruan van der Merwe

The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics

Fabio Turazza · Marco Picone · Marco Mamei

The Geometry and Topology of Circuits: the Manifolds of Modular Addition

Gabriela Moisescu-Pareja · Gavin McCracken · Harley Wiltzer · Colin Daniels · Vincent Létourneau · Doina Precup · Jonathan Love

The Geometry of Reasoning: Flowing Logics in Representation Space

Yufa Zhou · Yixiao Wang · Xunjian Yin · Shuyan Zhou · Anru Zhang

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

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

Johann Birnick

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

The Limits of Inference Scaling Through Resampling

Benedikt Stroebl · Sayash Kapoor · Arvind Narayanan

Theory-Grounded Evaluation of Human-Like Fallacy Patterns in LLM Reasoning

Andrew Richardson · Ryan Kearns · Sean Moss · Vincent Wang · Philipp Koralus

The Price of Robustness: Stable Classifiers Need Overparameterization

Jonas von Berg · Adalbert Fono · Massimiliano Datres · Sohir Maskey · Gitta Kutyniok

There Was Never a Bottleneck in Concept Bottleneck Models

Antonio Almudévar · José Miguel Hernández Lobato · Alfonso Ortega

THE SELF-RE-WATERMARKING TRAP: FROM EXPLOIT TO RESILIENCE

Vithurabiman Senthuran · Yong Xiang · Iynkaran Natgunanathan · Uthayasanker Thayasivam

The Spacetime of Diffusion Models: An Information Geometry Perspective

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

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

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

Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners

Xin Xu · Clive Bai · Kai Yang · Tianhao Chen · Yang Wang · Saiyong Yang · Can Yang

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

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

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

Token-level Data Selection for Safe LLM Fine-tuning

Yanping Li · Zhening Liu · Zijian Li · Zehong Lin · Jun 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

Toward Complex-Valued Neural Networks for Waveform Generation

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

Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections

Zhuo Liu · Tao Chen

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

Shojiro Yamabe · Jun Sakuma

Towards a Universally Transferable Acceleration Method for Density Functional Theory

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

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

Ce Zhang · Bin Zhang · Guoliang Fan

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

Towards Efficient, Adaptive, and Unified Reinforcement Mid-Training

Yijun Tian · Shaoyu Chen · Zhichao Xu · Yawei Wang · Jinhe Bi · Peng Han · Wei Wang

Towards Improved Sentence Representations using Token Graphs

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

Towards Interpretable Visual Decoding with Attention to Brain Representations

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

Towards Learned Optimization Free Lunch

Abhinav Moudgil · Boris Knyazev · Eugene Belilovsky

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

Towards Real-World Routing with Neural Combinatorial Optimization

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

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

Towards Text-Mask Consistency in Medical Image Segmentation

Jie Gui · HangTu · Wen Sha · Xiuquan Du

Towards Understanding the Shape of Representations in Protein Language Models

Kosio Beshkov · Anders Malthe-Sorenssen

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

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

Train-before-Test Harmonizes Language Model Rankings

Guanhua Zhang · Ricardo Dominguez-Olmedo · Moritz Hardt

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

Training Dynamics of Learning 3D-Rotational Equivariance

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

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

Sheng Jia · Xiao Wang · Shiva Kasiviswanathan

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

Sebastian Bordt · Martin Pawelczyk

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

Transferable and Stealthy Adversarial Attacks on Large Vision-Language Models

Zhewen Yao · Yao Zhu · Shiliang Zhang

Transformers as a Measure-Theoretic Associative Memory: A Statistical Perspective

Ryotaro Kawata · Taiji Suzuki

Transitive RL: Value Learning via Divide and Conquer

Seohong Park · Aditya Oberai · Pranav Atreya · Sergey Levine

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

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

Tree-sliced Sobolev IPM

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

TrimR: Verifier-based Training-Free Thinking Trimming for Efficient Test-Time Scaling

Weizhe Lin · Xing Li · Zhiyuan Yang · Xiaojin Fu · Huiling Zhen · Yaoyuan Wang · Xianzhi Yu · Wulong Liu · Xiaosong Li · Mingxuan Yuan

Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms?

Zijian Zhao · Sen Li

TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks

Amira Guesmi · Bassem Ouni · Muhammad Shafique

Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling

Yuan Wang · Yuhao Wan · Siming Zheng · Bo Li · Qibin Hou · Peng-Tao Jiang

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

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 · Cunxiang Wang · Zhen Wu · Xin-Yu Dai · Yue Zhang · Wei Ye · Shikun Zhang

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

Yuanyuan Yang · Ruimin Zhang · Jamie Morgenstern · Haifeng Xu

TusoAI: Agentic Optimization for Scientific Methods

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

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

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

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

UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes

Mark C. Eid · Ana Namburete · Joao F. Henriques

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

Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning

Mara Daniels · Liam Hodgkinson · Michael W Mahoney

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

Uncertainty-driven Embedding Convolution

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

Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders

Maty Bohacek · Thomas Fel · Maneesh Agrawala · Ekdeep Singh Lubana

Uncovering Robot Vulnerabilities through Semantic Potential Fields

Som Sagar · Jiafei Duan · Sreevishakh Vasudevan · Yifan Zhou · Heni Ben Amor · Dieter Fox · Ransalu Senanayake

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

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

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

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

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

UNIVERSAL AND EFFICIENT LOADING BALANCING FOR RL TRAINING OF LARGE MULTIMODAL MODELS

Zerui Wang · Qinghao Hu · Jiecheng Zhou · Chang Chen · Haojie Duanmu · Xingcheng Zhang · Peng Sun · Dahua Lin

Universal Multi-Domain Translation via Diffusion Routers

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

Universal Value-Function Uncertainties

Moritz Akiya Zanger · Max Weltevrede · Yaniv Oren · Pascal Van der Vaart · Caroline Horsch · Wendelin Boehmer · Matthijs T. J. Spaan

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

Anindya Sundar Das · Kangjie Chen · Monowar Bhuyan

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

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

Ruihua Chen · Yisi Luo · Bangyu Wu · Deyu Meng

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

Value Flows

Perry Dong · Chongyi Zheng · Chelsea Finn · Dorsa Sadigh · Benjamin Eysenbach

Variational Deep Learning via Implicit Regularization

Jonathan Wenger · Beau Coker · Juraj Marusic · John Cunningham

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

VenusX: Unlocking Fine-Grained Functional Understanding of Proteins

Yang Tan · Wenrui Gou · Bozitao Zhong · Huiqun Yu · liang hong · Bingxin Zhou

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

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

András Balogh · Márk Jelasity

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

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

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

VideoAnchor: Reinforcing Subspace-Structured Visual Cues for Coherent Visual-Spatial Reasoning

Zhaozhi Wang · Tong Zhang · Mingyue Guo · Yaowei Wang · Qixiang Ye

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

VIRTUE: Visual-Interactive Text-Image Universal Embedder

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

VisionTrim: Unified Vision Token Compression for Training-Free MLLM Acceleration

Hanxun Yu · Wentong Li · Xuan Qu · Song Wang · Junbo Chen · Jianke Zhu

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

Visual Autoregressive Modeling for Instruction-Guided Image Editing

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

Visual Jigsaw Post-Training Improves MLLMs

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

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

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

VLMgineer: Vision-Language Models as Robotic Toolsmiths

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

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

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

Ori Shem-ur · Khen Cohen · Yaron Oz

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

Chunyang Li · Yilun Zheng · Xinting Huang · Tianqing Fang · Jiahao Xu · Lihui Chen · Yangqiu Song · Han Hu

WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection

Guanzhong He · Zhen Yang · Jinxin Liu · Xu Bin · Lei Hou · Juanzi Li

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

WFR-FM: Simulation-Free Dynamic Unbalanced Optimal Transport

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

What Exactly Does Guidance Do in Masked Discrete Diffusion Models

Ye He · Kevin Rojas · Molei Tao

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

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

What Matters for Batch Online Reinforcement Learning in Robotics?

Perry Dong · Suvir Mirchandani · Dorsa Sadigh · Chelsea Finn

What Scales in Cross-Entropy Scaling Law?

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

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 · Jun Wang · Zhihui Fu · Tianyu Du · Shouling Ji

When Large Multimodal Models Confront Evolving Knowledge: Challenges and Explorations

Kailin Jiang · yuntao du · Yukai Ding · Yuchen Ren · Ning Jiang · Zhi Gao · Zilong Zheng · Lei Liu · Bin Li · Qing Li

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

Ren Fujiwara · Yasuko Matsubara · Yasushi Sakurai

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

Where’s the Chicken? Unpacking Spatial Awareness in Vision-Language Models

Jiyoon Pyo · Yao-Yi Chiang

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

WIMLE: Uncertainty‑Aware World Models with IMLE for Sample‑Efficient Continuous Control

Mehran Aghabozorgi · Yanshu Zhang · Alireza Moazeni · Ke Li

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

WorldGym: World Model as An Environment for Policy Evaluation

Julian Quevedo · Ansh Kumar Sharma · Yixiang Sun · Varad Suryavanshi · Percy Liang · Sherry Yang

WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs

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

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

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

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

Daniel Beaglehole · David Holzmüller · Adityanarayanan Radhakrishnan · Misha Belkin

Your Language Model Secretly Contains Personality Subnetworks

Ruimeng Ye · Zihan Wang · Zinan Ling · Yang Xiao · Manling Li · Xiaolong Ma · Bo Hui

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Oral

Oral Session 6A

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

3:15 PM - 4:45 PM

7 Events in this session

TabStruct: Measuring Structural Fidelity of Tabular Data

Xiangjian Jiang · Nikola Simidjievski · Mateja Jamnik

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

PetaGAIL++: 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

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

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

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 · Han Hu

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Oral

Oral Session 6F

3:15 PM - 4:45 PM

6 Events in this session

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

Quotient-Space Diffusion Model

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

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

3:15 PM - 5:45 PM

890 Events in this session

$PhyWorldBench$: 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

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

Runyan Tan · Shuang Wu · Phillip Howard

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

A^2TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene Representation

Sheng-Chi Hsu · Ting-Yu Yen · Shih-Hsuan Hung · Hung-Kuo Chu

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

Accelerated co-design of robots through morphological pretraining

Luke Strgar · Sam Kriegman

Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter

Hong Wang · Jie Wang · Jian Luo · huanshuo dong · Yeqiu Chen · Runmin Jiang · Zhen Huang

Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation

Xiaohuan Pei · Yuxing Chen · Siyu Xu · Yunke Wang · Yuheng Shi · Chang Xu

Action Chunking and Data Augmentation Yield Exponential Improvements for Imitation Learning in Continuous Spaces

Thomas T. Zhang · Daniel Pfrommer · Chaoyi Pan · Nikolai Matni · Max Simchowitz

Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting

Asher Hancock · Xindi Wu · Lihan Zha · Olga Russakovsky · Anirudha Majumdar

Activation Function Design Sustains Plasticity in Continual Learning

Lute Lillo · Nick Cheney

Activation Steering for LLM Alignment via a Unified ODE-Based Framework

Hongjue Zhao · Haosen Sun · Jiangtao Kong · Xiaochang Li · Qineng Wang · Liwei Jiang · Qi Zhu · Tarek Abdelzaher · Yejin Choi · Manling Li · Huajie Shao

Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models

Giang Ngo · Dat Phan Trong · Dang Nguyen · Sunil Gupta · Svetha Venkatesh

Adaptive Hopfield Network: Rethinking Similarities in Associative Memory

Shurong Wang · Yuqi Pan · Zhuoyang Shen · Meng Zhang · Hongwei Wang · Guoqi Li

Addressing divergent representations from causal interventions on neural networks

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

ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning

Jinyang Zhang · Yue Fang · Hongxin Ding · Weibin Liao · Muyang Ye · Xu Chu · Junfeng Zhao · Yasha 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

AesCoder: Code Aesthetics with Agentic Reward Feedback

Bang Xiao · Lingjie Jiang · Shaohan Huang · Tengchao Lv · Yupan Huang · xun wu · Lei Cui · Furu Wei

A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components

Michael Ibrahim · Nagi Gebraeel · Weijun Xie

A Function-Centric Graph Neural Network Approach for Predicting Electron Densities

Manuel Viktor Klockow · Marc Ickler · Peter Lippmann · Fred A Hamprecht

A General Framework for Black-Box Attacks Under Cost Asymmetry

Mahdi Salmani · Alireza Abdollahpoorrostam · Seyed-Mohsen Moosavi-Dezfooli

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

Yue Wu · Jialin Zhao · Carlo Vittorio Cannistraci

A Genetic Algorithm for Navigating Synthesizable Molecular Spaces

Alston Lo · Connor Coley · Wojciech Matusik

Agentic Collaboration as an Information Bottleneck Problem

Shizhe He · Avanika Narayan · Ishan Khare · Christopher Re · Scott Linderman · Dan Biderman

Agentic Context Engineering: Learning Comprehensive Contexts for Self-Improving Language Models

Qizheng Zhang · Changran Hu · Shubhangi Upasani · Boyuan Ma · Fenglu Hong · Vamsidhar Kamanuru · Jay Rainton · Chen Wu · Mengmeng Ji · Hanchen Li · Urmish Thakker · James Y Zou · Kunle Olukotun

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 · Han Hu · Yansong Tang

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

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

Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation

Min-Seop Kwak · Junho Kim · Sangdoo Yun · Taekyung Kim · Dongyoon Han · Seungryong Kim · Jin-Hwa Kim

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

Alignment-Weighted DPO: A principled reasoning approach to improve alignment

Mengxuan Hu · Vivek Datla · Anoop Kumar · Zihan Guan · Sheng Li · Alfy Samuel · Daben Liu

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

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

AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning

Yi Zhang · An Zhang · XiuYu Zhang · Leheng Sheng · Yuxin Chen · Zhenkai Liang · Xiang Wang

Analysis of approximate linear programming solution to Markov decision problem with log barrier function

Donghwan Lee · Hyukjun Yang · Bumgeun Park

Anchored Supervised Fine-Tuning

He Zhu · Junyou Su · Peng Lai · Ren Ma · Wenjia Zhang · Linyi Yang · Guanhua Chen

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

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

Animating the Uncaptured: Humanoid Mesh Animation with Video Diffusion Models

Marc Benedi San Millan · Angela Dai · Matthias Niessner

An Improved Model-free Decision-estimation Coefficient with Applications in Adversarial MDPs

Haolin Liu · Chen-Yu Wei · Julian Zimmert

Any-Subgroup Equivariant Networks via Symmetry Breaking

Abhinav Goel · Derek Lim · Hannah Lawrence · Stefanie Jegelka · Ningyuan Huang

Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Model

Yang Yang · Siming Zheng · Qirui Yang · Jinwei Chen · Boxi Wu · Xiaofei He · Deng Cai · Bo Li · Peng-Tao Jiang

AnyUp: Universal Feature Upsampling

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

A One-shot Framework for Directed Evolution of Antibodies

Sai Pooja Mahajan · Natasa Tagasovska · Stefania Vasilaki · Arian Jamasb · Andrew Watkins · Rajesh Ranganath

APPLE: Toward General Active Perception via Reinforcement Learning

Tim Schneider · Cristiana de Farias · Roberto Calandra · Liming Chen · Jan Peters

AQER: A Scalable and Efficient Data Loader for Digital Quantum Computers

Kaining Zhang · Xinbiao Wang · Yuxuan Du · Min-Hsiu Hsieh · Dacheng Tao

Arbitrary-Order Block SignSGD for Memory-Efficient LLM Fine-Tuning

Yijie Zhou · Shi Pu

Arbitrary-Shaped Image Generation via Spherical Neural Field Diffusion

Jiyuan Xia · Yuanshen Guan · Ruikang Xu · Zhiwei Xiong

Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified?

Olawale Elijah Salaudeen · Nicole Chiou · Shiny Weng · Sanmi Koyejo

A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning

Ying-Tu Chen · Wei Hung · Bing-Shu Wu · Zhang-Wei Hong · Ping-Chun Hsieh

Are we measuring oversmoothing in graph neural networks correctly?

Kaicheng Zhang · Piero Deidda · Desmond Higham · Francesco Tudisco

ARFlow: Auto-regressive Optical Flow Estimation for Arbitrary-Length Videos via Progressive Next-Frame Forecasting

Jiuming Liu · Mengmeng Liu · Siting Zhu · Yunpeng Zhang · Jiangtao Li · Michael Yang · Francesco Nex · Hao Cheng · Hesheng Wang

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

A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration

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

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

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

A tale of two tails: Preferred and anti-preferred natural stimuli in visual cortex

Rabia Gondur · Patricia Stan · Matthew A Smith · Benjamin Cowley

AtC: Aggregate-then-Calibrate for Human-centered Assessment

Zejun Xie · Xintong Li · Guang Wang · Desheng Zhang

ATGen: Adversarial Reinforcement Learning for Test Case Generation

Qingyao Li · Xinyi Dai · Weiwen Liu · Xiangyang Li · Yasheng Wang · Ruiming Tang · Yong Yu · Weinan Zhang

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

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

ATLAS: Alibaba Dataset and Benchmark for Learning-Augmented Scheduling

Zhiyun Jiang · Tianming Zhao · Chunqiu xia · Albert Zomaya

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM

Haoyu Huang · Hong Ting Tsang · Jiaxin Bai · Xi Peng · Gong Zhang · Yangqiu Song

Atomic HINs: Entity-Attribute Duality for Heterogeneous Graph Modeling

Shao-En Lin · Ming-Yi Hong · Miao-Chen Chiang · Chih-Yu Wang · Che Lin

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

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

Attention Is All You Need for KV Cache in Diffusion LLMs

Quan Nguyen-Tri · Mukul Ranjan · Zhiqiang Shen

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

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

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

Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models

Yanjiang Liu · Shuheng Zhou · Yaojie Lu · Huijia Zhu · Weiqiang Wang · Hongyu Lin · Ben He · Xianpei Han · Le Sun

BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models

Yupeng Chang · Yi Chang · Yuan Wu

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

Batch and Sequential Unlearning for Neural Networks

Nhung Bui · Xinyang Lu · Rachael Hwee Ling Sim · See-Kiong Ng · Bryan Kian Hsiang Low

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

Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning

Jiayu Chen · Le Xu · Wentse Chen · Jeff Schneider

Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs

Xuwei Tan · Ziyu Hu · Xueru Zhang

Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation

Hongtao Yu · Xiu-Shen Wei · Yuxin Peng · Serge Belongie

BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training

Luca Colombo · Fabrizio Pittorino · Daniele Zambon · Carlo Baldassi · Manuel Roveri · Cesare Alippi

Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning

Ethan Rathbun · Wo Wei Lin · Alina Oprea · Christopher Amato

BeyondBench: Benchmark-Free Evaluation of Reasoning in Language Models

Gaurav Srivastava · Aafiya Hussain · Zhenyu Bi · Swastik Roy · Priya Pitre · Meng Lu · Morteza Ziyadi · Xuan Wang

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

Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models

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

Beyond Linear Probes: Dynamic Safety Monitoring for Language Models

James Oldfield · Philip Torr · Ioannis Patras · Adel Bibi · Fazl Barez

Beyond Pairwise: Empowering LLM Alignment With (Ranked) Choice Modeling

Yuxuan Tang · Yifan Feng

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval

Haike Xu · Tong Chen

Beyond Short Steps in Frank-Wolfe Algorithms

David Martinez-Rubio · Sebastian Pokutta

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

Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers

Xuanhao Pan · Chenguang Wang · Chaolong Ying · Ye XUE · Tianshu Yu

Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMs

Hyejun Jeong · Shiqing Ma · Amir Houmansadr

Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation

Yilang Zhang · Abraham Jaeger Mountain · Bingcong Li · Georgios B Giannakis

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

Chenqi Li · Yu Liu · Timothy Denison · Tingting Zhu

Bird's-eye-view Informed Reasoning Driver

Yinuo Wang · Yuanxin Zhong · Mining Tan · Wang zhitao · Siyuan Cheng

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

Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer

Roman Beliy · Amit Zalcher · Jonathan Kogman · navve wasserman · michal Irani

Branched Schrödinger Bridge Matching

Sophia Tang · Yinuo Zhang · Alexander Tong · Pranam Chatterjee

Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for Transformers

Peter Shaw · James Cohan · Jacob Eisenstein · Kristina Toutanova

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

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

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

Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks

Yuan Hua · Jilin Zhang · Yingtao Zhang · Leyi You · Baobo Xiong · Carlo Vittorio Cannistraci · Hong Chen

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

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

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

Cascadia: An Efficient Cascade Serving System for Large Language Models

YOUHE JIANG · Fangcheng Fu · Wanru Zhao · Stephan Rabanser · Jintao Zhang · Nic Lane · Binhang Yuan

Catalog-Native LLM: Speaking Item-ID dialect with Less Entanglement for Recommendation

Reza Shirkavand · Xiaokai Wei · Chen Wang · Zheng Hui · Heng Huang · Michelle Gong

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

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

Causal Discovery via Quantile Partial Effect

Yikang Chen · Xingzhe Sun · Dehui du

Causal-Steer: Disentangled Continuous Style Control without Parallel Corpora

Qingsong Wang · Chang Yao · Jingyuan Chen

ChainGPT: Dual-Reasoning Model with Recurrent Depth and Multi-Rank State Updates

Yunao Zheng · Xiaojie Wang · Lei Ren · Chen Wei

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

Channel-Aware Mixed-Precision Quantization for Efficient Long-Context Inference

Chengxi Liao · Zeyi Wen

Characterizing the Discrete Geometry of ReLU Networks

Blake Gaines · Jinbo Bi

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

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

ChunkTabPFN: Training-free Long Context

Renat Sergazinov · Shao-An Yin

CircuitSense: A Hierarchical Circuit System 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

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

CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives

Ayoung Lee · Ryan Kwon · Peter Railton · Lu Wang

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

CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow-Map Models

Zheyuan Hu · Chieh-Hsin Lai · Yuki Mitsufuji · Stefano Ermon

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

CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning

Monoshi Roy · Simin Chen · Benjamin Steenhoek · Jinjun Peng · Gail Kaiser · Baishakhi Ray · Wei Le

CoDi: Subject-Consistent and Pose-Diverse Text-to-Image Generation

Zhanxin Gao · Beier Zhu · Liangyao · Jian Yang · Ying Tai

CollectiveKV: Decoupling and Sharing Collaborative Information in Sequential Recommendation

Jingyu Li · Zhaocheng Du · Qianhui Zhu · kaiyuan Li · ZHICHENG ZHANG · Wu · Chaolang Li · Pengwen Dai

CompassNav: Steering From Path Imitation to Decision Understanding In Navigation

LinFeng Li · Jian Zhao · Yuan Xie · Xin Tan · Xuelong Li

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

Composable Sparse Subnetworks via Maximum-Entropy Principle

Francesco Caso · Samuele Fonio · Nicola Saccomanno · Simone Monaco · Fabrizio Silvestri

Compositional Generalization through Gradient Search in Nonparametric Latent Space

Haruki Shirakami · James Henderson

Computer Use Survey - A Visual Survey of Computer Use Agents

Kenneth Marino · Farhan Ishmam · Ana Marasovic

CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition

Bruno Viti · Elias Karabelas · Martin Holler

Consolidating Reinforcement Learning for Multimodal Discrete Diffusion Models

Tianren Ma · Mu Zhang · Yibing Wang · Qixiang Ye

Constraint-guided Hardware-aware NAS through Gradient Modification

Gregory De Ruyter · Mathias Verbeke · Hans Hallez

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

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

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

ContextIF: Enhancing Instruction-Following through Context Reward

Yule Zhong · Jiacheng Yao · Guoxiu He

Context Tokens are Anchors: Understanding the Repetition Curse in Diffusion MLLMs 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

Contextual and Seasonal LSTMs for Time Series Anomaly Detection

Lingpei Zhang · Qingming Li · Yong Yang · Jiahao Chen · Rui Zeng · Chenyang Lyu · Shouling Ji

Continuous Space-Time Video Super-Resolution with 3D Fourier Fields

Alexander Becker · Julius Erbach · Dominik Narnhofer · Konrad Schindler

Controllable Video Generation with Provable Disentanglement

Yifan Shen · Peiyuan Zhu · Zijian Li · Shaoan Xie · Namrata Deka · Zongfang Liu · Zeyu Tang · Guangyi Chen · Kun Zhang

CortiLife: A Unified Framework for Cortical Representation Learning across the Lifespan

Pengcheng Xue · Dong Nie · Jie Luo · Daoqiang Zhang · Xuyun Wen

Count Bridges enable Modeling and Deconvolving Transcriptomics

Nic Fishman · Gokul Gowri · Tanush Kumar · Jiaqi Lu · Valentin De Bortoli · Jonathan Gootenberg · Omar Abudayyeh

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

Counterfactual Explanations on Robust Perceptual Geodesics

Eslam Zaher · Maciej Trzaskowski · Quan Nguyen · Fred Roosta

Counterfactual Reasoning for Retrieval-Augmented Generation

Huaiyu Qin · Chunyu Wei · Yueguo Chen · Yunhai Wang

CPQS-Tuning: A Model Self-Perception-Based Data Filtering Algorithm for Efficient Instruction Fine-Tuning

YI REN · Yanhui Li · Tianyi Zhang · Diandong Liu

Critique-RL: Training Critiquing Language Models Through Two-Stage RL for Improved Discrimination and Constructive Feedback

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

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

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

Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning

Dariush Wahdany · Matthew Jagielski · Adam Dziedzic · Franziska Boenisch

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

Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence

Alexander Semenenko · Ivan Butakov · Alexey Frolov · Ivan Oseledets

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

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

Data-to-Energy Stochastic Dynamics

Kirill Tamogashev · Nikolay Malkin

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

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

Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms

Spyros Angelopoulos · Christoph Dürr · Georgii Melidi

Declarative Audio Editing with Audio Language Model

Zitong Lan · Yiduo Hao · Mingmin Zhao

DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning

Ke Guo · Haochen Liu · XIAOJUN WU · Chen Lv

Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning

Xinting Huang · Michael Hahn

Deconstructing Positional Information: From Attention Logits to Training Biases

Zihan Gu · Ruoyu Chen · Han Zhang · Hua Zhang · Yue Hu

Defining and quantifying compositional structure

Eric Elmoznino · Guillaume Lajoie

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

DeRaDiff: Denoising Time Realignment of Diffusion Models

Ratnavibusena Don Shahain Manujith · Yang Zhang · Teoh Tzun · Kenji Kawaguchi

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

Designing Rules to Pick a Rule: Aggregation by Consistency

Ratip Emin Berker · Ben Armstrong · Vincent Conitzer · Nihar Shah

Designing Time Series Experiments in A/B Testing with Transformer Reinforcement Learning

Xiangkun Wu · Qianglin Wen · Yingying Zhang · Hongtu Zhu · Ting Li · Chengchun Shi

DES-LOC: Desynced Low Communication Adaptive Optimizers for Foundation Models

Alex Iacob · Lorenzo Sani · Mher Safaryan · Paris Giampouras · Samuel Horváth · Meghdad Kurmanji · Andrej Jovanovic · Preslav Aleksandrov · William Shen · Xinchi Qiu · Nic Lane

DiCache: Let Diffusion Model Determine Its Own Cache

Jiazi Bu · Pengyang Ling · Yujie Zhou · Yibin Wang · Yuhang Zang · Dahua Lin · Jiaqi Wang

Difference-Aware Retrieval Polices for Imitation Learning

Quinn Pfeifer · Ethan Pronovost · Paarth Shah · Khimya Khetarpal · Abhishek Gupta · Siddhartha Srinivasa

Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective

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

DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models

Zherui Li · Zheng Nie · Zhenhong Zhou · Yufei Guo · Yue Liu · Yitong Zhang · Yu Cheng · Qingsong Wen · Kun Wang · Jiaheng Zhang

Diffusion Alignment as Variataional Expectation-Maximization

Jaewoo Lee · Minsu Kim · Sanghyeok Choi · Inhyuck Song · Sujin Yun · Hyeongyu Kang · Woocheol Shin · Taeyoung Yun · Kiyoung Om · Jinkyoo Park

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

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

Diffusion Models as Dataset Distillation Priors

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

Discovering Novel LLM Experts via Task-Capability Coevolution

Andrew Dai · Boris Meinardus · Ciaran Regan · Yingtao Tian · Yujin Tang

Discrete Adjoint Matching

Oswin So · Brian Karrer · Chuchu Fan · Ricky T. Q. Chen · Guan-Horng Liu

Discrete Latent Features Ablate Adversarial Attack: A Robust Prompt Tuning Framework for VLMs

YANG CHEN · Yanbin Wei · James Kwok · Yu Zhang

Disentangled Hierarchical VAE for 3D Human-Human Interaction Generation

Zichen Geng · Zeeshan Hayder · Wei Liu · Bo Miao · Jian Liu · Ajmal Mian

Disentanglement of Variations with Multimodal Generative Modeling

Yijie Zhang · Yiyang Shen · Weiran Wang

Disentangling Knowledge Representations for Large Language Model Editing

Mengqi Zhang · Zisheng Zhou · Xiaotian Ye · Qiang Liu · Zhaochun Ren · Zhumin Chen · Pengjie Ren

Displacement-Resistant Extensions of DPO with Nonconvex $f$-Divergences

Idan Pipano · Shoham Sabach · Kavosh Asadi · Mohammad Ghavamzadeh

DiSRouter: Distributed Self-Routing for LLM Selections

Hang Zheng · Hongshen Xu · Yongkai LIN · Shuai Fan · Lu Chen · Kai Yu

Dissecting Representation Misalignment in Contrastive Learning via Influence Function

Lijie Hu · Chenyang Ren · Huanyi Xie · Khouloud Saadi · Shu Yang · Zhen Tan · Jingfeng Zhang · Di Wang

DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials

Kevin Han · Bowen Deng · Amir Barati Farimani · Gerbrand Ceder

DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick

Mohammad Vali · Tom Bäckström · Arno Solin

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

Yepeng Tang · Weining Wang · Longteng Guo · Zijia Zhao · Wenxuan Wang · Chunjie Zhang · Jing Liu

DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction

Jiayang Shi · Daniel Pelt · Joost Batenburg

Do Large Language Models Know What They Are Capable Of?

Casey Barkan · Sidney Black · Oliver Sourbut

Don’t Pass@$k$: A Bayesian Framework for Large Language Model Evaluation

Mohsen Hariri · Amirhossein Samandar · Michael Hinczewski · Vipin Chaudhary

Don't Throw Away Your Pretrained Model

Shangbin Feng · Wenhao Yu · Yike Wang · Hongming Zhang · Yulia Tsvetkov · Dong Yu

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

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

Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models

Dang Nguyen · Jiping Li · Jinghao Zheng · Baharan Mirzasoleiman

DP-Fusion: Token-Level Differentially Private Inference for Large Language Models

Rushil Thareja · Preslav Nakov · Praneeth Vepakomma · Nils Lukas

DreamPhase: Offline Imagination and Uncertainty-Guided Planning for Large-Language-Model Agents

Shayan Mohajer Hamidi · Linfeng Ye · Konstantinos Plataniotis

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

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

Jiayi Li · Flora Salim

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

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

DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving

Yang Zhou · Hao Shao · Letian Wang · Zhuofan Zong · Hongsheng Li · Steven Waslander

DR-Submodular Maximization with Stochastic Biased Gradients: Classical and Quantum Gradient Algorithms

Shengminjie Chen · Xiaoming Sun · Wenguo Yang · Jialin Zhang · Zihan 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

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

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

DTP: Delta-Guided Two Stage Pruning for Mamba-based Multimodal Large Language Models

Seong Yeol Park · Min Kwon · XIANGHUA PIAO · Yeong Hyeon Gu

Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations

William Sharpless · Dylan Hirsch · Sander Tonkens · Nikhil Shinde · Sylvia Herbert

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

Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models

Jianghao Yin · Qin Chen · Kedi Chen · Jie Zhou · Xingjiao Wu · Liang He

Dynamic Novel View Synthesis in High Dynamic Range

Kaixuan Zhang · Zhipeng Xiong · Minxian Li · Mingwu Ren · Jiankang Deng · Xiatian Zhu

Dyslexify: A Mechanistic Defense Against Typographic Attacks in CLIP

Lorenz Hufe · Constantin Venhoff · Maximilian Dreyer · Erblina Purelku · Sebastian Lapuschkin · Wojciech Samek

Echoes as Anchors: Probabilistic Costs and Attention Refocusing in LLM Reasoning

Zhuoyuan Hao · Zhuo Li · Wu Li · Fangming Liu · Min Zhang · Jing Li

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

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

Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo

Advait Parulekar · Litu Rout · Karthikeyan Shanmugam · Sanjay Shakkottai

Efficient Ensemble Conditional Independence Test Framework for Causal Discovery

Zhengkang Guan · Kun Kuang

Efficient Estimation of Kernel Surrogate Models for Task Attribution

Zhenshuo Zhang · Minxuan Duan · Hongyang Zhang

Efficient Multimodal Spatial Reasoning via Dynamic and Asymmetric Routing

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

Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits

Donghao Li · Chengshuai Shi · Weijuan Ou · Cong Shen · Jing Yang

Efficient-SAM2: Accelerating SAM2 with Object-Aware Visual Encoding and Memory Retrieval

Jing Zhang · Zhikai Li · Xuewen Liu · Qingyi Gu

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization

Manish Acharya · David Hyde

Eigen-1: Scientific Reasoning through Adaptive Multi-Agent Refinement and Monitor-based RAG

Xiangru Tang · Wanghan Xu · Yujie Wang · Zijie Guo · Daniel Shao · Cixuan Zhang · Ziyi Wang · Lixin Zhang · Guancheng Wan · Zhenfei Yin · Wenlong Zhang · LEI BAI · Philip Torr · Hanrui Wang · Di Jin

EigenScore: OOD Detection using Posterior Covariance in Diffusion Models

Shirin Shoushtari · Yi Wang · Xiao Shi · M. Salman Asif · Ulugbek Kamilov

Einstein Fields: A Neural Perspective To Computational General Relativity

Sandeep Cranganore · Andrei Bodnar · Arturs Berzins · Johannes Brandstetter

Eliciting Harmful Capabilities by Fine-Tuning on Safeguarded Outputs

Jackson Kaunismaa · John Hughes · Christina Knight · Avery Griffin · Mrinank Sharma · Erik Jones

Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance

Zhuo Li · Pengyu Cheng · FeifeiTong · Zhechao Yu · Anningzhe Gao · Tsung-Hui Chang · Xiang Wan · erchao.zec · xiaoxi jiang · guanjunjiang

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

Emergent Misalignment is Easy, Narrow Misalignment is Hard

Anna Soligo · Edward Turner · Senthooran Rajamanoharan · Neel Nanda

Enabling arbitrary inference in spatio-temporal dynamic systems: A physics-inspired perspective

Yan Ge · Zhengyang Zhou · Qihe Huang · Yuxuan Liang · Yang Wang

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

Yunseok Lee · Seulki Lee

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

End-to-End Probabilistic Framework for Learning with Hard Constraints

Utkarsh Utkarsh · Danielle Maddix · Ruijun Ma · Michael W Mahoney · Bernie Wang

Enhancing Geometric Perception in VLMs via Translator-Guided Reinforcement Learning

Hao Yu · Shuning Jia · Guanghao Li · Wenhao Jiang · Chun Yuan

Enhancing Shortcut Models with Cumulative Self-Consistency Loss for One-Step Diffusion

Paribesh Regmi · Sandesh Ghimire · Rui Li

Epistemic Uncertainty Quantification To Improve Decisions From Black-Box Models

Sébastien Melo · Marine Le Morvan · Gael Varoquaux

Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence

Bingji Yi · Qiyuan Liu · Yuwei Cheng · Haifeng Xu

Estimating Worst-Case Frontier Risks of Open-Weight LLMs

Eric Wallace · Olivia Watkins · Miles Wang · Kai Chen · Chris Koch

Evaluating and Improving Cultural Awareness of Reward Models for LLM Alignment

Hongbin Zhang · Kehai Chen · Xuefeng Bai · Yang Xiang · Min Zhang

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

EVALUATING MEMORY IN LLM AGENTS VIA INCRE- MENTAL MULTI-TURN INTERACTIONS

Yuanzhe Hu · Yu Wang · Julian McAuley

EVLP: Learning Unified Embodied Vision-Language Planner with Reinforced Supervised Fine-Tuning

xinyan cai · Shiguang Wu · DaFeng Chi · Yuzheng Zhuang · Xingyue Quan · Jianye HAO · Qiang Guan

Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model

Anirud Aggarwal · Abhinav Shrivastava · Matthew Gwilliam

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

Expert Heads: Robust Evidence Identification for Large Language Models

Qi Wu · Jianfeng Qu · Ximing Li · Zhixu Li

Explainable $ K $-means Neural Networks for Multi-view Clustering

Yalan Qin · Xinpeng Zhang · Guorui Feng

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

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

Exploring Diverse Generation Paths via Inference-time Stiefel Activation Steering

Dongxuan Zhu · Ly Khanh · Andy Yat-Ming Cheung · Man-Chung Yue · Viet Anh Nguyen

Exploring the Basin-Like Loss Landscape in Large Language Models

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

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

Expressive and Invariant Graph Learning via Canonical Tree Cover Neural Networks

Michael Ito · Danai Koutra · Jenna Wiens

Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs

Cheng Jing · Uvini Balasuriya Mudiyanselage · Abhishek Verma · Kallol Bera · Shahid Rauf · Kookjin Lee

FACM: Flow-Anchored Consistency Models

Yansong Peng · Kai Zhu · Yu Liu · Pingyu Wu · Hebei Li · Xiaoyan Sun · Feng Wu

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

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

Faithfulness Under the Distribution: A New Look at Attribution Evaluation

Zhiyu Zhu · Zhibo Jin · Jiayu Zhang · Bartlomiej Sobieski · Przemyslaw Biecek · Fang Chen · Jianlong Zhou

FARTrack: Fast Autoregressive Visual Tracking with High Performance

Guijie Wang · Tong Lin · Yifan Bai · Anjia Cao · Shiyi Liang · Wangbo Zhao · Xing Wei

Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry

Ziheng Chen · Yue Song · Xiaojun Wu · Nicu Sebe

Faster Vision Transformers with Adaptive Patches

Rohan Choudhury · JungEun Kim · Jinhyung Park · Eunho Yang · Laszlo A. Jeni · Kris Kitani

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

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

FedMuon: Federated Learning with Bias-corrected LMO-based Optimization

Yuki Takezawa · Anastasia Koloskova · Xiaowen Jiang · Sebastian Stich

Financial fraud collusion among generative AI agents in social networks

Qibing Ren · Zhijie Zheng · Jiaxuan Guo · Junchi Yan · Lizhuang Ma · Jing Shao

f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness

Subhodip Panda · Dhruv Tarsadiya · Shashwat Sourav · Prathosh AP · Sai Karimireddy

FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents

Qinglong Yang · Haoming Li · Haotian Zhao · Xiaokai Yan · Jingtao Ding · Fengli Xu · Yong Li

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

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

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

FlashWorld: High-quality 3D Scene Generation within Seconds

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

Flatness Guided Test-Time Adaptation for Vision-Language Models

aodi Li · Liansheng Zhuang · Xiao Long · Houqiang Li · Shafei Wang

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

FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation

Muqing Liu · Chongjie Si · Yuheng Jia

FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding

Janghoon Cho · Jungsoo Lee · Munawar Hayat · Kyuwoong Hwang · Fatih Porikli · Sungha Choi

FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment

Chuiyang Meng · Ming Tang · Vincent Wong

Flow2GAN: Hybrid Flow Matching and GAN with Multi-Resolution Network for One-/Two-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

Fluent Alignment with Disfluent Judges: Post-training for lower-resource languages

David Samuel · Lilja Øvrelid · Erik Velldal · Andrey Kutuzov

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

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

Following the Navigation: Enhancing Small Language Models Contextual Reasoning with LLM Guidance

Xiaoqi Ni · Jie Wang · Lin Yang · Yiyang Lu · Hanzhu Chen · Rui Liu · Jianye HAO

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

Forest-Based Graph Learning for Semi-Supervised Node Classification

Jin Li · Shenghao Gao · Kaichen Zhang · Xinlong Chen · Ying Sun · Hui Xiong

Fostering Video Reasoning via Next-Event Prediction

Haonan Wang · Hongfu Liu · Xiangyan Liu · Chao Du · Kenji Kawaguchi · Ye Wang · Tianyu Pang

Fresh in memory: Training-order recency is linearly encoded in language model activations

Dmitrii Krasheninnikov · Richard E Turner · David Krueger

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

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation

Han Song · Yucheng Zhou · Jianbing Shen · Yu Cheng

From Evaluation to Defense: Advancing Safety in Video Large Language Models

Yiwei Sun · Peiqi Jiang · Chuanbin Liu · Luohao Lin · Zhiying Lu · Hongtao Xie

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

From Gradient Volume to Shapley Fairness: Towards Fair Multi-Task Learning

Xiao Wang · Yuying Han · Dazi Li · Fei Zhang · Min Tang

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

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

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

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

From Predictors to Samplers via the Training Trajectory

Soumya Ram · Akhila Ram

From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting

Xilin Dai · Zhijian Xu · Wanxu Caii · Qiang Xu

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

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

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

From Vicious to Virtuous Cycles: Synergistic Representation Learning for Unsupervised Video Object-Centric Learning

Hyun Seok Seong · WonJun Moon · Jae-Pil Heo

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

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

Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition

Qinyuan Ye · Robin Jia · Xiang Ren

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

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

GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care

Ruirui Wang · Yanke Li · Manuel Günther · Diego Paez-Granados

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

GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning

Jie Peng · Jiarui Ji · Runlin Lei · Zhewei Wei · Yongchao Liu · Chuntao Hong

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

GenCompositor: Generative Video Compositing with Diffusion Transformer

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

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

Generalization of RLVR Using Causal Reasoning as a Testbed

Zhichu Lu · Hongyu Zhao · Shuo Sun · Hao Peng · Rui Ding · Hongyuan Mei

Generating metamers of human scene understanding

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

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

Geometry-aware 4D Video Generation for Robot Manipulation

Zeyi Liu · Shuang Li · Eric Cousineau · Siyuan Feng · Benjamin Burchfiel · Shuran Song

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

Getting Your LLMs Ready for Reinforcement Learning with Lightweight SFT

Xinran Li · Guangda Huzhang · Siqi Shen · Qing-Guo Chen · Zhao Xu · Weihua Luo · Kaifu Zhang · Jun Zhang

GGBall: Graph Generative Model on Poincaré Ball

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

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

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

Rahul Thomas · Arka Pal

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

G-Merging: Graph Models Merging for Parameter-Efficient Multi-Task Knowledge Consolidation

Jun Chen · Ziyue Qiao · Qin Zhang · Kaize Ding · Xiao Luo

GNN-as-Judge: Unleashing the Power of LLMs for Graph Few-shot Semi-supervised Learning with GNN Feedback

Ruiyao Xu · Kaize Ding

Good allocations from bad estimates

Sílvia Casacuberta · Moritz Hardt

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching

Guinan Su · Li Shen · Lu Yin · Shiwei Liu · Yanwu Yang · Jonas Geiping

GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning

Silvia Sapora · R Devon Hjelm · Omar Attia · Alexander Toshev · Bogdan Mazoure

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

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

Gradient-Direction-Aware Density Control for 3D Gaussian Splatting

Zheng Zhou · Yu-Jie Xiong · Jia-Chen Zhang · Chun-Ming Xia · Xihe Qiu · Hongjian Zhan

Graph-based Nearest Neighbors with Dynamic Updates via Random Walk-Based Analysis

Lichen Zhang · Yonatan Naamad · Tal Wagner · Nina Mishra

Graph Tokenization for Bridging Graphs and Transformers

Zeyuan Guo · Enmao Diao · Cheng Yang · Chuan Shi

GraphUniverse: Enabling Systematic Evaluation of Inductive Generalization

Louis Emiel T Van Langendonck · Guillermo Bernardez · Nina Miolane · Pere Barlet-Ros

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

Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test

Ziyue Li · Chenrui Fan · Tianyi Zhou

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

GuardAlign: Robust Safety Alignment in Multimodal Large Language Models

Xingyu Zhu · Beier Zhu · Junfeng Fang · Shuo Wang · Yin Zhang · Xiang Wang · Xiangnan He

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

Guidance Watermarking for Diffusion Models

Enoal Gesny · Eva Giboulot · Teddy Furon · Vivien Chappelier

H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning

Yiyang Lu · Yufeng Tian · Zhecheng Yuan · Xianbang Wang · Pu Hua · Zhengrong Xue · Huazhe Xu

Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization

Igor Maljkovic · Maria Rosaria Briglia · Iacopo Masi · Antonio Emanuele Cinà · Fabio Roli

Helmsman: Autonomous Synthesis of Federated Learning Systems via Multi-Agent Collaboration

Haoyuan Li · Mathias Funk · Aaqib Saeed

Heterogeneous Agent Q-weighted Policy Optimization

Bor Jiun Lin · Chun-Yi Lee

Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation

Zikai Zhang · Rui Hu · Jiahao Xu

Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion

Dan Haramati · Carl Qi · Tal Daniel · Amy Zhang · Aviv Tamar · George D Konidaris

High-dimensional Mean-Field Games by Particle-based Flow Matching

Jiajia Yu · Junghwan Lee · Yao Xie · Xiuyuan Cheng

HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models

Seyedmorteza Sadat · Farnood Salehi · Romann Weber

Hilbert-Guided Sparse Local Attention

Yunge Li · Lanyu Xu

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

Histopathology-Genomics Multi-modal Structural Representation Learning for Data-Efficient Precision Oncology

KUN WU · Zhiguo Jiang · Xinyu Zhu · Jun Shi · Yushan Zheng

Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning

Ling Zhang · Xianliang Yang · Juwon Yu · Park Cheonyoung · Lei Song · Jiang Bian

Hot PATE: Private Aggregation of Distributions for Diverse Tasks

Edith Cohen · Benjamin Cohen-Wang · Xin Lyu · Jelani Nelson · Tamas Sarlos · Uri Stemmer

How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data

Bhavya Vasudeva · Puneesh Deora · Yize Zhao · Vatsal Sharan · Christos Thrampoulidis

How to Square Tensor Networks and Circuits Without Squaring Them

Lorenzo Loconte · Adrián Javaloy · Antonio Vergari

HSIC Bottleneck for Cross-Generator and Domain-Incremental Synthetic Image Detection

CHIN-CHIA YANG · Yung-Yu Chuang · Hwann-Tzong Chen · Tyng-Luh Liu

HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion

Sixu Lin · Guanren Qiao · Yunxin Tai · Ang Li · Kui Jia · Guiliang Liu

ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference

Sunghyeon Woo · Hoseung Kim · Jaeeun Kil · Minsub Kim · Joonghoon Kim · Ahreum Seo · Sungjae Lee · Minjung Jo · Jiwon Ryu · baeseong park · Se Jung Kwon · Dongsoo Lee

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

Identifiability Challenges in Sparse Linear Ordinary Differential Equations

Cecilia Casolo · Sören Becker · Niki Kilbertus

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

IF-VidCap: Can Video Caption Models Follow Instructions?

Shihao Li · Yuanxing Zhang · Jiangtao Wu · Zhide Lei · Chenxi Liao · An Ping · Zhaozhou Bian · Yiwen He · Suhan Wang · Runzhe Wen · Chengkang Jiang · Shuo Gao · Jiayi Zhou · Jing Wang · Yifan Yao · Weihao Xie · Yanghai Wang · Zijun Zhou · Jingyi Xie · Yingshui Tan · Qianqian Xie · Zhaoxiang Zhang · JIAHENG LIU

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

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

Implicit Models: Expressive Power Scales with Test-Time Compute

Jialin Liu · Lisang Ding · Wotao Yin · Stanley J Osher

Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis

Tyler Farghly · Patrick Rebeschini · George Deligiannidis · Arnaud Doucet

ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases

Ziqian Zhong · Aditi Raghunathan · Nicholas Carlini

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

Improved Quality, Synchrony, and Preference Alignment for Joint Audio-Video Generation

Kai Liu · Yanhao Zheng · Kai Wang · Shengqiong Wu · Rongjunchen Zhang · Jiebo Luo · Dimitrios Hatzinakos · Ziwei Liu · Tat-Seng Chua · Hao Fei

Improving Autoregressive Video Modeling with History Understanding

Wenyang Luo · Haina Qin · Bing Li · Jiwen Lu · Xin Tao · Pengfei Wan · Kun Gai

Improving Online-to-Nonconvex Conversion for Smooth Optimization via Double Optimism

Francisco Patitucci · Ruichen Jiang · Aryan Mokhtari

Improving Set Function Approximation with Quasi-Arithmetic Neural Networks

Tomas Tokar · Scott Sanner

In Agents We Trust, but Who Do Agents Trust? Latent Preferences Steer LLM Generations

Mohammad Aflah Khan · Mahsa Amani · Soumi Das · Bishwamittra Ghosh · Qinyuan Wu · Krishna Gummadi · Manish Gupta · Abhilasha Ravichander

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

In-Context Compositional Q-Learning for Offline Reinforcement Learning

Qiushui Xu · Yu-Hao Huang · Yushu Jiang · Wenliang Zheng · Lei Song · Jinyu Wang · Jiang Bian

IncVGGT: Incremental VGGT for Memory-Bounded Long-Range 3D Reconstruction

Keyu Fang · Changchun Zhou · Yuzhe Fu · Hai Li · Yiran Chen

Inference-time scaling of diffusion models through classical search

XiangCheng Zhang · Haowei Lin · Haotian Ye · James Y Zou · Jianzhu Ma · Yitao Liang · Yilun Du

Influence Dynamics and Stagewise Data Attribution

Jin Hwa Lee · Matthew Smith · Maxwell Adam · Jesse Hoogland

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

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

InfoNCE Induces Gaussian Distribution

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

Information Estimation with Discrete Diffusion

Alberto Foresti · Giulio Franzese · Pietro Michiardi

InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression

Inheriting Generalizable Knowledge from LLMs to Diverse Vertical Tasks

Chang Liu · boyu shi · xu yang · Qiufeng Wang · Xin Geng

Initialization Schemes for Kolmogorov–Arnold Networks: An Empirical Study

Spyros Rigas · Dhruv Verma · Georgios Alexandridis · Yixuan Wang

Inlier-Centric Post-Training Quantization for Object Detection Models

Minsu Kim · Dongyeun Lee · Jaemyung Yu · jiwan hur · Giseop Kim · Junmo Kim

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

Interaction-aware Representation Modeling With Co-Occurrence Consistency for Egocentric Hand-Object Parsing

Yuejiao Su · Yi Wang · Lei Yao · Yawen Cui · Lap-Pui Chau

Interactive Agents to Overcome Underspecificity in Software Engineering

Sanidhya Vijayvargiya · Xuhui Zhou · Akhila Yerukola · Maarten Sap · Graham Neubig

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

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

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

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

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

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra

Heewoong Noh · Namkyeong Lee · Gyoung S. Na · Kibum Kim · Chanyoung Park

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

Is In-Context Learning Learning?

Adrian de Wynter

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

Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design

Xingyu Su · Xiner Li · Masatoshi Uehara · Sunwoo Kim · Yulai Zhao · Gabriele Scalia · Ehsan Hajiramezanali · Tommaso Biancalani · Degui Zhi · Shuiwang Ji

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization

Ali Behrouz · Meisam Razaviyayn · Peilin Zhong · Vahab Mirrokni

Jacobian Aligned Random Forests

Sarwesh Rauniyar

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

Jet Expansions: Restructuring LLM Computation for Model Inspection

Yihong Chen · Luca Franceschi · Xiangxiang Xu · Pontus Stenetorp · Sebastian Riedel

Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation

Jinpeng Lu · Linghan Cai · Yinda Chen · Guo Tang · Songhan Jiang · Haoyuan Shi · Zhiwei Xiong

JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation

Jianghan Chao · jianzhang gao · Wenhui Tan · Yuchong Sun · Ruihua Song · Liyun Ru

Joint Shadow Generation and Relighting via Light-Geometry Interaction Maps

Shan Wang · Peixia Li · Chenchen Xu · Ziang Cheng · Jiayu Yang · Hongdong Li · Pulak Purkait

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

KaVa: Latent Reasoning via Compressed KV-Cache Distillation

Anna Kuzina · Maciej Pióro · Babak Ehteshami Bejnordi

KinemaDiff: Towards Diffusion for Coherent and Physically Plausible Human Motion Prediction

Ye Lu · Jie Wang · Tianyi Liu · Jianjun Gao · Kim-Hui Yap

KLAS: Using Similarity to Stitch Neural Networks for an Improved Accuracy-Efficiency Tradeoff

Debopam Sanyal · Anantharaman S. Iyer · Alind Khare · Trisha Jain · Akshay Jajoo · Myungjin Lee · James Kerce · Alexey Tumanov

Knowledge Exchange with Confidence: Cost-Effective LLM Integration for Reliable and Efficient Visual Question Answering

Mahsa Mozaffari · Hitesh Sapkota · Xumin Liu · Qi Yu

Koopman-Assisted Trajectory Synthesis: A Data Augmentation Framework for Offline Imitation Learning

Jin Wang · Pengcheng He · Ke Jiang · Xiaoyang Tan

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

Landing with the Score: Riemannian Optimization through Denoising

Andrey Kharitenko · Zebang Shen · Riccardo De Santi · Niao He · Florian Dorfler

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

Language-Instructed Vision Embeddings for Controllable and Generalizable Perception

Chengzhi Mao · Xudong Lin · Wen-Sheng Chu

Language Models Use Lookbacks to Track Beliefs

Nikhil Prakash · Natalie Shapira · Arnab Sen Sharma · Christoph Riedl · Yonatan Belinkov · Tamar Shaham · David Bau · Atticus Geiger

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

Latent Wavelet Diffusion For Ultra High-Resolution Image Synthesis

Luigi Sigillo · Shengfeng He · Danilo Comminiello

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

LeanForPhysics: Comprehensive Reasoning Framework for University-level Physics in Lean4

Yuxin Li · Minghao LIU · Ruida WANG · JI WenZhao · Zhitao He · Rui Pan · Junming Huang · Tong Zhang · Yi R. Fung

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

Learning Escorted Protocols For Multistate Free-Energy Estimation

Lars Holdijk · Nithishwer Anand · Michael Bronstein · Max Welling

Learning multimodal dictionary decompositions with group-sparse autoencoders

Chiraag Kaushik · Davis Barch · Andrea Fanelli

Learning Part-Aware Dense 3D Feature Field For Generalizable Articulated Object Manipulation

Yue Chen · Muqing Jiang · Ruihai Wu · Kaifeng Zheng · Jiaqi Liang · Chenrui Tie · Haoran Lu · Hao Dong

Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability

Tao Tao · Maissam Barkeshli

Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting

Boyuan Li · Zhen Liu · Yicheng Luo · Qianli Ma

Learning to Answer from Correct Demonstrations

Nirmit Joshi · Gene Li · Siddharth Bhandari · Shiva Kasiviswanathan · Cong Ma · Nathan Srebro

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

Learning to Generate Unit Test via Adversarial Reinforcement Learning

Dongjun Lee · Changho Hwang · Kimin Lee

Learning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs

Abed K. Musaffar · Anand Gokhale · Sirui Zeng · Rasta Tadayontahmasebi · Xifeng Yan · Ambuj K Singh · Francesco Bullo

Learning to Orchestrate Agents in Natural Language with the Conductor

Stefan Nielsen · Edoardo Cetin · Peter Schwendeman · Qi Sun · Jinglue Xu · Yujin Tang

Learning to Reason in Structured In-context Environments with Reinforcement Learning

Peng Yu · Zeyuan Zhao · Shao Zhang · Luoyi Fu · Xinbing Wang · Ying Wen

Learning to Reason without External Rewards

Xuandong Zhao · Zhewei Kang · Aosong Feng · Sergey Levine · Dawn Song

Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions

Lu Ma · Hao Liang · Meiyi Qiang · Lexiang Tang · Xiaochen Ma · Zhen Wong · Junbo Niu · Chengyu Shen · Runming He · Yanhao Li · Wentao Zhang · Bin CUI

LearnPruner: Rethinking Attention-based Token Pruning in Vision Language Models

Rinyoichi Takezoe · Yaqian Li · Zi-Hao Bo · Anzhou Hou · Mo Guang · Kaiwen Long

LEGACY: A Lightweight Dynamic Gradient Compression Strategy for Distributed Deep Learning

Mostapha Essoullami · El Houcine Bergou · Aritra Dutta

LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR

Guang Yang · Victoria Ebert · Nazif Tamer · Brian Zheng · Luiza Pozzobon · Noah Smith

Less is more: Clustered Cross-Covariance Control for Offline RL

Nan Qiao · Sheng Yue · Shuning Wang · Yongheng Deng · Ju Ren

LeSTD: LLM Compression via Learning-based Sparse Tensor Decomposition

Yi Li · Zhichun Guo · Miao Yin · Bingzhe Li

Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement

Yu-Che Tsai · Kuan-Yu Chen · Yuan-Chi Li · Yuan-Hao Chen · Ching-Yu Tsai · Shou-De Lin

Let OOD Feature Exploring Vast Predefined Classifiers

Kewen Xia · Xiaodong Yue · WeiZhipeng · Yaxin Peng · Zihao Li · Jianxiang Zhu · Jie Shi · PeilinXu

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

Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE

Lokesh Nagalapatti · Pranava Singhal · Avishek Ghosh · Sunita Sarawagi

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

Libra: Effective yet Efficient Load Balancing for Large-scale MoE Inference

Jaehoon Yang · Yushin Kim · Seokwon Moon · Yeonhong Park · Jae W. Lee

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

Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling

Junyi Yao · Parham Eftekhar · Gene Cheung · Xujin Liu · Yao Wang · Wei Hu

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

LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion

Clara Xue · Zizheng Yan · Zhenning Shi · Yuhang Yu · Jingyu Zhuang · Qi Zhang · Jinwei Chen · Qingnan Fan

LiveResearchBench: Benchmarking Single- and Multi-Agent Systems for Citation-Grounded Deep Research

Jiayu Wang · Yifei Ming · Riya Dulepet · Qinglin Chen · Austin Xu · Zixuan Ke · Frederic Sala · Aws Albarghouthi · Caiming Xiong · Shafiq Joty

LLMs Must Think Thrice to Solve Executable Counterfactuals

Aniket Vashishtha · Qirun Dai · Hongyuan Mei · Amit Sharma · Chenhao Tan · Hao Peng

LLM Unlearning with LLM Beliefs

Kemou Li · Qizhou Wang · Yue Wang · Fengpeng Li · Jun Liu · Bo Han · Jiantao Zhou

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

LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning

Nurbek Tastan · Stefanos Laskaridis · Martin Takáč · Karthik Nandakumar · Samuel Horváth

Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall

Mingyu Jo · Jaesik Yoon · Justin Deschenaux · Caglar Gulcehre · Sungjin Ahn

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

Low-pass Personalized Subgraph Federated Recommendation

Wooseok Sim · Hogun Park

Low rank adaptation of chemical foundation models generate effective odorant representations

Grant McConachie · Emily Duniec · Florence Guerina · Meg Younger · Brian DePasquale

LRIM: a Physics-Based Benchmark for Provably Evaluating Long-Range Capabilities in Graph Learning

Joël Mathys · Henrik Christiansen · Federico Errica · Takashi Maruyama · Francesco Alesiani

LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer

Song Fei · Tian Ye · Lujia Wang · Lei Zhu

LUMINA: Detecting Hallucinations in RAG System with Context–Knowledge Signals

Min-Hsuan Yeh · Yixuan Li · Tanwi Mallick

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

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

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

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

MambaVoiceCloning: Efficient and Expressive Text-to-Speech via State-Space Modeling and Diffusion Control

Sahil Kumar · Namrataben Patel · Honggang Wang · Youshan Zhang

MARS - A Foundational Map Auto-Regressor

Qi Zhang · Suvam Bag · Rupanjali Kukal · Mikael Figueroa · Rishi Madhok · Nikolaos Karianakis · Fuxun Yu

MARS: Reinforcing Multi-Agent Reasoning of LLMs through Self-Play in Strategic Games

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

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

Masked Skill Token Training for Hierarchical Off-Dynamics Transfer

Zeyu Feng · Haiyan Yin · Yew-Soon Ong · Harold Soh

Matched Data, Better Models: Target Aligned Data Filtering with Sparse Features

Arnav Das · Gantavya Bhatt · Sahil Verma · Yiping Wang · Viswa Virinchi Muppirala · Jeff Bilmes

Matching multiple experts: on the exploitability of multi-agent imitation learning

Antoine Bergerault · Volkan Cevher · Negar Mehr

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

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

Mechanism of Task-oriented Information Removal in In-context Learning

Hakaze Cho · Haolin Yang · Gouki Gouki · Naoya Inoue

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

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

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

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

MergOPT: A Merge-Aware Optimizer for Robust Model Merging

Enneng Yang · Qun Yang · Peng Wang · Anke Tang · Guibing Guo · Li Shen · Xiaochun Cao

MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse

Zhenyu Pan · Han Liu

Metis: Training LLMs with FP4 Quantization

Hengjie Cao · Mengyi Chen · Yifeng Yang · Ruijun Huang · Fang Dong · Jixian Zhou · Anrui Chen · Mingzhi Dong · Yujiang Wang · Jinlong Hou · Yuan Cheng · FAN WU · Fan Yang · Tun Lu · Ning Gu · Li Shang

MICLIP: Learning to Interpret Representation in Vision Models

Yingdong Shi · Zhiyu Yang · Changming Li · Jingyi Yu · Kan Ren

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

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

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

Misalignments and RL Failure Modes in the Early Stage of Superintelligence

Shu Yang · Hanqi Yan · Di Wang

Mitigating Mismatch within Reference-based Preference Optimization

Suqin Yuan · Xingrui Yu · Jiyang Zheng · Lei Feng · Dadong Wang · Ivor Tsang · Tongliang Liu

Mixing Importance with Diversity: Joint Optimization for KV Cache Compression in Large Vision-Language Models

Xuyang Liu · Xiyan Gui · Yuchao Zhang · Linfeng Zhang

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

MLP Memory: A Retriever-Pretrained Memory for Large Language Models

Rubin Wei · Jiaqi Cao · Jiarui Wang · Jushi Kai · Qipeng Guo · Bowen Zhou · Zhouhan Lin

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

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

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

MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs

Zhenyan Lu · Daliang Xu · Dongqi Cai · Zexi Li · WEI LIU · Jian Luan · Fangming Liu · Shangguang Wang · Mengwei Xu

MOBODY: Model-Based Off-Dynamics Offline Reinforcement Learning

Yihong Guo · Yu Yang · Pan Xu · Anqi Liu

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds

Wei Wu · Xiaomeng Fan · Yuwei Wu · Zhi Gao · Pengxiang Li · Yunde Jia · Mehrtash Harandi

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

Modeling Interference for Treatment Effect Estimation in Network Dynamic Environment

Qiang Huang · Jin Tian

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

Model Tensor Planning

Model Tensor Planning Download PDF An Thai Le · Khai Nguyen · Minh Nhat VU · Joao Carvalho · Jan Peters

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

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

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

Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening

Wooseok Jeon · Seunghyun Shin · Dongmin Shin · Hae-Gon Jeon

MotionStream: Real-Time Video Generation with Interactive Motion Controls

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

MRAD: Zero-Shot Anomaly Detection with Memory-Driven Retrieval

Chaoran Xu · Chengkan Lv · Qiyu Chen · Feng Zhang · Zhengtao Zhang

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

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

Multifidelity Simulation-based Inference for Computationally Expensive Simulators

Anastasia Krouglova · Hayden Johnson · Basile Confavreux · Michael Deistler · Pedro J Goncalves

Multi-Marginal Flow Matching with Adversarially Learnt Interpolants

Oskar Kviman · Kirill Tamogashev · Nicola Branchini · Víctor Elvira · Jens Lagergren · Nikolay Malkin

Multiplayer Nash Preference Optimization

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

Multiple-Prediction-Powered Inference

Charlie Cowen-Breen · Alekh Agarwal · Stephen Bates · William W. Cohen · Jacob Eisenstein · Amir Globerson · Adam Fisch

Multiplicative Diffusion Models: Beyond Gaussian Latents

Robert Gruhlke · Valentin Resseguier · Merveille Talla

Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of Experts

Ruofeng Yang · Yongcan Li · Bo Jiang · Cheng Chen · Shuai Li

Native Reasoning Models: Training Language Models to Reason on Unverifiable Data

Yuanfu Wang · Zhixuan Liu · Xiangtian Li · Chaochao Lu · yang chao

Navigating the Latent Space Dynamics of Neural Models

Marco Fumero · Luca Moschella · Emanuele Rodolà · Francesco Locatello

Negative Pre-activations Differentiate Syntax

Linghao Kong · Angelina Ning · Micah Adler · Nir Shavit

NeMo-map: Neural Implicit Flow Fields for Spatio-Temporal Motion Mapping

Yufei Zhu · Shih-Min Yang · Andrey Rudenko · Tomasz Kucner · Achim Lilienthal · Martin Magnusson

Neodragon: Mobile Video Generation Using Diffusion Transformer

Animesh Karnewar · Denis Korzhenkov · Ioannis Lelekas · Noor Fathima · Adil Karjauv · Mohsen Ghafoorian · Amirhossein Habibian

Neologism Learning for Controllability and Self-Verbalization

John Hewitt · Oyvind Tafjord · Robert Geirhos · Been Kim

NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward Networks

Nandan Kumar Jha · Brandon Reagen

NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization

Xiyuan Wei · Chih-Jen Lin · Tianbao Yang

Neural Collapse in Multi-Task Learning

Youjun Wang · Boqi Li · Xin Zou · Weiwei Liu

Neural Message-Passing on Attention Graphs for Hallucination Detection

Fabrizio Frasca · Guy Bar-Shalom · Yftah Ziser · Haggai Maron

Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers

Nico Pelleriti · Christoph Spiegel · Shiwei Liu · David Martinez-Rubio · Max Zimmer · Sebastian Pokutta

Neural Theorem Proving for Verification Conditions: A Real-World Benchmark

Qiyuan Xu · Xiaokun Luan · Renxi Wang · Joshua Leang · Peixin Wang · Haonan Li · Wenda Li · Conrad Watt

No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted Embeddings

Joonsung Jeon · Woo Jae Kim · Suhyeon Ha · Sooel Son · Sung-eui Yoon

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization

Siqi Wang · Aoming Liu · Bryan Plummer

Noise Stability of Transformer Models

Themistoklis Haris · Zihan Zhang · Yuichi Yoshida

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

No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks

Yehonathan Refael · Guy Smorodinsky · Ofir Lindenbaum · Itay Safran

Not All Clients Are Equal: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients

Minhyuk Seo · Taeheon Kim · Hankook Lee · Jonghyun Choi · Tinne Tuytelaars

Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning

Rongjin Li · Zichen Tang · Xianghe Wang · Xinyi Hu · Zhengyu Wang · Zhengyu Lu · Yiling Huang · Jiayuan Chen · Weisheng Tan · Jiacheng Liu · Zhongjun Yang · Haihong E

Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning

Weipu Zhang · Adam Jelley · Trevor McInroe · Amos Storkey · Gang Wang

Octax: Accelerated CHIP-8 Arcade Environments for Reinforcement Learning in JAX

Waris Radji · Thomas Michel · Hector Piteau

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

ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting

Daniel Wang · Patrick Rim · Tian Tian · Dong Lao · Alex Wong · Ganesh Sundaramoorthi

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

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

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs

Caorui Li · Yu Chen · Yiyan Ji · Jin Xu · Zhenyu Cui · Shihao Li · Yuanxing Zhang · Jiafu Tang · Zhenghao Song · Dingling Zhang · Ying He · Haoxiang Liu · Yuxuan Wang · Qiufeng Wang · 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

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

One-Shot Exemplars for Class Grounding in Self-Supervised Learning

Haowen Cui · Shuo Chen · Jun Li · Jian Yang

One step further with Monte-Carlo sampler to guide diffusion better

Minsi Ren · Wenhao Deng · Ruiqi Feng · Tailin Wu

Online Rounding and Learning Augmented Algorithms for Facility Location

Silvio Lattanzi · Debmalya Panigrahi · Ola Svensson

On the Convergence Direction of Gradient Descent

Shuo Chen · Xiaolong Li · Jiaying Peng · Yao Zhao

On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning

Yifan Zhang · Yifeng Liu · Rina Hughes · Yang Yuan · Quanquan Gu · Andrew Yao

On the Expressiveness of State Space Models via Temporal Logics

Eric Alsmann · Lowejatan Noori · Martin Lange

On The Expressive Power of GNN Derivatives

Yam Eitan · Moshe Eliasof · Yoav Gelberg · Fabrizio Frasca · Guy Bar-Shalom · Haggai Maron

On The Fragility of Benchmark Contamination Detection in Reasoning Models

Han Wang · Haoyu Li · Brian Ko · Huan Zhang

On the Reasoning Abilities of Masked Diffusion Language Models

Anej Svete · Ashish Sabharwal

On the Spectral Differences Between NTK and CNTK and Their Implications for Point Cloud Recognition

yuanqu Mou · Chang Gou · Haiyang Bai · Jia Liu

On the Universality and Complexity of GNN for Solving Second-order Cone Programs

Ruizhe Li · Enming Liang · Minghua Chen

Open-Set Semantic Gaussian Splatting SLAM with Expandable Representation

Yan · Chen Liang · Wenguan Wang · Yi Yang

Optimal transport unlocks end-to-end learning for single-molecule localization

Romain Seailles · Jean Masson · Jean Ponce · Julien Mairal

Optimizer Choice Matters For The Emergence of Neural Collapse

Jim Zhao · Tin Sum Cheng · Wojciech Masarczyk · Aurelien Lucchi

Optimizing Canaries for Privacy Auditing with Metagradient Descent

Matteo Boglioni · Terrance Liu · Andrew Ilyas · Steven Wu

Optimizing Data Augmentation through Bayesian Model Selection

Madi Matymov · Ba-Hien Tran · Michael Kampffmeyer · Markus Heinonen · Maurizio Filippone

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

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

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

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

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

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

Brandon Annesi · Dario Bocchi · Chiara Cammarota

Overtone: Cyclic Patch Modulation for Cleaner, Faster Physics Emulators

Payel Mukhopadhyay · Michael McCabe · Ruben Ohana · Miles Cranmer

PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection

Jinju Park · Seokho Kang

PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities

Zicheng Liu · Lige Huang · Jie Zhang · Dongrui Liu · Yuan Tian · Jing Shao

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

Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing

Iskander Azangulov · Teodora Pandeva · Niranjani Prasad · Javier Zazo · Sushrut Karmalkar

Parallel Token Generation for Language Models

Justus Will · Felix Draxler · Farrin Sofian · THEOFANIS KARALETSOS · Sameer Singh · Stephan Mandt

Pareto Variational Autoencoder

Mincheol Cho · Yedarm Seong · Joong-Ho Won

Part-level Semantic-guided Contrastive Learning for Fine-grained Visual Classification

Zhijian Lin · Hong Han

PAS: Estimating the target Accuracy before domain adaptation

Raphaella Diniz · Jackson de Faria · Martin Ester

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

Path Channels and Plan Extension Kernels: a Mechanistic Description of Planning in a Sokoban RNN

Mohammad Taufeeque · Aaron Tucker · Adam Gleave · Adrià Garriga-Alonso

Pay Attention to CTC: Fast and Robust Pseudo-Labelling for Unified Speech Recognition

Alexandros Haliassos · Rodrigo Mira · Stavros Petridis

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

PCF Learned Sort: a Learning Augmented Sort Algorithm with O(nloglogn) Expected Complexity

Atsuki Sato · Yusuke Matsui

PCLR: Progressively Compressed LoRA for Multimodal Continual Instruction Tuning

weicheng meng · Jingyang Qiao · Zhizhong Zhang · Shaohui Liu · Yuan Xie

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

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

Personalized Reasoning: Just-in-time Personalization and Why LLMs Fail at It

Stella Li · Avinandan Bose · Faeze Brahman · Simon Du · Pang Wei Koh · Maryam Fazel · Yulia Tsvetkov

Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models

Leander Girrbach · Stephan Alaniz · Genevieve Smith · trevor darrell · Zeynep Akata

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

PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting

Jiaming Ma · Guanjun Wang · Qihe Huang · Sheng Huang · Haofeng Ma · Zhengyang Zhou · Pengkun Wang · Xu Wang · Binwu Wang · Yang Wang

Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models

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

Physics-Informed Inference Time Scaling for Solving High-Dimensional Partial Differential Equations

Zexi Fan · Yan Sun · Shihao Yang · Yiping Lu

Physics-Inspired All-Pair Interaction Learning for 3D Dynamics Modeling

Kai Yang · Yuqi Huang · Junheng Tao · Wanyu Wang · Qitian Wu

PhysLLM: Harnessing Large Language Models for Cross-Modal Remote Physiological Sensing

Yiping Xie · bo zhao · Mingtong Dai · Jian-Ping Zhou · Yue Sun · Tao Tan · Weicheng Xie · Linlin Shen · Zitong YU

PI-Light: Physics-Inspired Diffusion for Full-Image Relighting

Zhexin Liang · Zhaoxi Chen · Yongwei Chen · Tianyi Wei · Tengfei Wang · Xingang Pan

PILOT-Bench: Probabilistic Interaction for LLM Operations in Tool-driven Scenarios

Ruicheng Ao · Zeping Min · Tingyu Zhu · Wotao Yin · Xinshang Wang

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

Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models

Junhong Lin · Xinyue Zeng · Jie Zhu · Song Wang · Julian Shun · Jun Wu · Dawei Zhou

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

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

Play to Generalize: Learning to Reason Through Game Play

Yunfei Xie · Yinsong Ma · Shiyi Lan · Alan Yuille · Junfei Xiao · Chen Wei

PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models

Soufiane Hayou · Nikhil Ghosh · Bin Yu

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

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

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

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

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

Policy Newton Algorithm in Reproducing Kernel Hilbert Space

Yixian Zhang · Huaze Tang · Changxu Wei · Chao Wang · Wenbo Ding

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

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

Post-training Large Language Models for Diverse High-Quality Responses

Yilei Chen · Souradip Chakraborty · Lorenz Wolf · Ioannis Paschalidis · Aldo Pacchiano

Post-Training Quantization for Video Matting

Tianrui Zhu · Houyuan Chen · Ruihao Gong · Michele Magno · Haotong Qin · Kai Zhang

Practical estimation of the optimal classification error with soft labels and calibration

Ryota Ushio · Takashi Ishida · Masashi Sugiyama

PreciseCache: Precise Feature Caching for Efficient and High-fidelity Video Generation

Jiangshan Wang · Kang Zhao · Jiayi Guo · Jiayu Wang · Hang Guo · Chenyang Zhu · Xiangyu Yue · Xiu Li

Predictability Shapes Adaptation: An Evolutionary Perspective on Modes of Learning in Transformers

Alexander Ku · Thomas L. Griffiths · Stephanie Chan

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

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

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

Premise Selection for a Lean Hammer

Thomas Zhu · Joshua Clune · Jeremy Avigad · Qiaochu Jiang · Sean Welleck

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

Primary-Fine Decoupling for Action Generation in Robotic Imitation

Xiaohan Lei · Min Wang · Wengang Zhou · Xingyu Lu · Houqiang Li

PRISM: Controllable Diffusion for Compound Image Restoration with Scientific Fidelity

Rupa Kurinchi-Vendhan · Pratyusha Sharma · Antonio Torralba · Sara Beery

Private Rate-Constrained Optimization with Applications to Fair Learning

Mohammad Yaghini · Tudor Cebere · Michael Menart · Aurélien Bellet · Nicolas Papernot

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

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

Prompt-MII: Meta-Learning Instruction Induction for LLMs

Emily Xiao · Yixiao Zeng · Ada Chen · Chin-Jou Li · Amanda Bertsch · Graham Neubig

ProofFlow: A Dependency Graph Approach to Faithful Proof Autoformalization

Rafael Cabral · Tuan Manh · Xuejun Yu · Wai Ming Tai · Zijin Feng · Shen Xin

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

ProRe: A Proactive Reward System for GUI Agents via Reasoner–Actor Collaboration

Gaole Dai · Shiqi Jiang · Ting Cao · Yuqing Yang · Yuanchun Li · Rui Tan · Mo Li · Lili Qiu

ProReGen: Progressive Residual Generation under Attribute Correlations

Ruby Shrestha · Ajay Gopi · Casey Meisenzahl · Bipin Lekhak · Linwei Wang

PROTDYN: A FOUNDATION PROTEIN LANGUAGE MODEL FOR THERMODYNAMICS AND DYNAMICS GENERATION

Yikai Liu · Haoyang Zheng · Lining Mao · Yanbin Wang · Ming Chen · Guang Lin

ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting

Ziheng Peng · Shijie Ren · Xinyue Gu · Linxiao Yang · Xiting Wang · Liang Sun

ProxyAttn: Guided Sparse Attention via Representative Heads

Yixuan Wang · Huang He · Siqi Bao · hua wu · Haifeng Wang · Qingfu Zhu · Wanxiang Che

Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity

Zhengyao Fang · Pengyuan Lyu · Chengquan Zhang · Guangming Lu · Jun Yu · Wenjie Pei

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

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

QuaMo: Quaternion Motions for Vision-based 3D Human Kinematics Capture

Cuong Le · Pavlo Melnyk · Urs Waldmann · Mårten Wadenbäck · Bastian Wandt

Quasi-Equivariant Metanetworks

Viet-Hoang Tran · An Nguyen · Benoît Guérand · Thieu Vo · Tan Nguyen

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

Queue Length Regret Bounds for Contextual Queueing Bandits

Seoungbin Bae · Garyeong Kang · Dabeen Lee

QuRL: Low-Precision Reinforcement Learning for Efficient Reasoning

Yuhang Li · Reena Elangovan · Xin Dong · Priyadarshini Panda · Brucek Khailany

QVGen: Pushing the Limit of Quantized Video Generative Models

Yushi Huang · Ruihao Gong · Jing Liu · Yifu Ding · Chengtao Lv · Haotong Qin · Jun Zhang

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

RankFlow: Property-aware Transport for Protein Optimization

Lu Yu · Wei Xiang · Kang Han · Gaowen Liu · Ramana Kompella

ReactID: Synchronizing Realistic Actions and Identity in Personalized Video Generation

Wei Li · Yiheng Zhang · Fuchen Long · Zhaofan Qiu · Ting Yao · Xiaoyan Sun · Tao Mei

REAP the Experts: Why Pruning Prevails for One-Shot MoE compression

Mike Lasby · Ivan Lazarevich · Nish Sinnadurai · Sean Lie · Yani Ioannou · Vithursan Thangarasa

reAR: Rethinking Visual Autoregressive Models via Token-wise Consistency Regularization

Qiyuan He · Yicong Li · Haotian Ye · Jinghao Wang · Xinyao Liao · Pheng-Ann Heng · Stefano Ermon · James Y Zou · Angela Yao

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

RECODE: 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

Reconstructing KV Caches with Cross-Layer Fusion for Enhanced Transformers

Hongzhan Lin · Zhiqi Bai · Xinmiao Zhang · Siran Yang · Jiamang Wang · Yunlong Xu · JIAHENG LIU · Yongchi Zhao · Xiang Li · Yuchi Xu · wenbo su · Bo Zheng

Rectifying LLM Thought from Lens of Optimization

Junnan Liu · Hongwei Liu · Songyang Zhang · Kai Chen

Recurrent Action Transformer with Memory

Egor Cherepanov · Aleksei Staroverov · Alexey Kovalev · Aleksandr Panov

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

Reference Guided Skill Discovery

Seungeun Rho · Aaron Trinh · Danfei Xu · Sehoon Ha

Referring Layer Decomposition

Fangyi Chen · Yaojie Shen · Lu Xu · Ye Yuan · Shu Zhang · Yulei Niu · Longyin Wen

Refine Drugs, Don’t Complete Them: Uniform-Source Discrete Flows for Fragment-Based Drug Discovery

Benno Kaech · Luis Wyss · Karsten Borgwardt · Gianvito Grasso

RefTool: Reference-Guided Tool Creation for Knowledge-Intensive Reasoning

Xiao Liu · Da Yin · Zirui Wu · Yansong Feng

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

RegionReasoner: Region-Grounded Multi-Round Visual Reasoning

Wenfang Sun · Hao Chen · Yingjun Du · Yefeng Zheng · Cees G Snoek

Reinforcement Learning Fine-Tuning Enhances Activation Intensity and Diversity in the Internal Circuitry of LLMs

Honglin Zhang · Qianyue Hao · Fengli Xu · Yong Li

Reinforcing General Reasoning Without Verifiers

Xiangxin Zhou · Zichen Liu · Anya Sims · Haonan Wang · Tianyu Pang · Chongxuan Li · Liang Wang · Min Lin · Chao Du

Remotely Detectable Robot Policy Watermarking

Michael Amir · Manon Flageat · Amanda Prorok

Replicable Reinforcement Learning with Linear Function Approximation

ERIC EATON · Marcel Hussing · Michael Kearns · Aaron Roth · Sikata Sengupta · Jessica Sorrell

Representing local protein environments with machine learning force fields

Meital Bojan · Sanketh Vedula · Sai Advaith Maddipatla · Nadav Sellam · Anar Rzayev · Federico Napoli · Paul Schanda · Alexander Bronstein

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 · Yong Jiang · Kewei Tu · Pengjun Xie · Fei Huang · Jingren Zhou

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

RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States

Xiangjie Xiao · Zhiguang Cao · Cong Zhang · Wen Song

ResCP: Reservoir Conformal Prediction for Time Series Forecasting

Roberto Neglia · Andrea Cini · Michael Bronstein · Filippo Maria Bianchi

RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration

Sudarshan Rajagopalan · Kartik Narayan · Vishal Patel

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

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

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

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

Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models

JIN LIU · Ning Xi · Yinbin Miao · Junkang Liu

Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning

Naoki Shitanda · Motoki Omura · Tatsuya Harada · Takayuki Osa

Rethinking the Diffusion Model from a Langevin Perspective

Candi Zheng · Yuan Lan

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

Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation

Jianlong Chen · Zhiming Zhou

Revisiting the NetHack Learning Environment

Michael Matthews · Pierluca D'Oro · Anssi Kanervisto · Scott Fujimoto · Jakob Foerster · Mikael Henaff

Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts

Minh Le · Anh Nguyen · Huy Nguyen · Chau Nguyen · Anh T Tran · Nhat Ho

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

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

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

Risk-Sensitive Agent Compositions

Guruprerana Shabadi · Rajeev Alur

RLP: Reinforcement as a Pretraining Objective

Ali Hatamizadeh · Syeda Nahida Akter · Shrimai Prabhumoye · Jan Kautz · Mostofa Patwary · Mohammad Shoeybi · Bryan Catanzaro · Yejin Choi

RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs

Kohsei Matsutani · Shota Takashiro · Gouki Gouki · Takeshi Kojima · Yusuke Iwasawa · Yutaka Matsuo

RL's Razor: Why Online Reinforcement Learning Forgets Less

Idan Shenfeld · Jyothish Pari · Pulkit Agrawal

RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers

Md Zesun Ahmed Mia · Malyaban Bal · Abhronil Sengupta

RobotArena $\infty$: Unlimited 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

Robust Multi-Objective Controlled Decoding of Large Language Models

Seongho Son · William Bankes · Sangwoong Yoon · Shyam Sundhar Ramesh · Xiaohang Tang · Ilija Bogunovic

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

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

Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition

Dongyuan Li · Shun Zheng · Chang XU · Jiang Bian · Renhe Jiang

RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling

Yang Liu · Jiaqi Li · Zilong Zheng

S2GO: Streaming Sparse Gaussian Occupancy

Jinhyung Park · Chensheng Peng · yihan hu · Wenzhao Zheng · Kris Kitani · Wei Zhan

SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt Learning

Momin Khan · Yasra Chandio · Fatima Anwar

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

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

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

SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions

Jeongyong Yang · Seunghwan Jang · SooJean Han

SAGE: Spatial-visual Adaptive Graph Exploration for Visual Place Recognition

Shunpeng Chen · Changwei Wang · Rongtao Xu · xingtianPei · yukun Song · Jinzhou Lin · Wenhao Xu · jingyizhang · Li Guo · Shibiao Xu

SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation

Qianzhong Chen · Justin Yu · Mac Schwager · Pieter Abbeel · Fred Shentu · Philipp Wu

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

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

SCAD: Super-Class-Aware Debiasing for Long-Tailed Semi-Supervised Learning

Sunguk Jang · Jinwoo Jeon · Byung-Jun Lee

Scalable Oversight via Partitioned Human Supervision

Ren Yin · Takashi Ishida · Masashi Sugiyama

Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization

Yifan Chang · Jie Qin · Limeng Qiao · Xiaofeng Wang · Zheng Zhu · Lin Ma · Xingang Wang

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

ScalingCache: Extreme Acceleration of DiTs through Difference Scaling and Dynamic Interval Caching

Lihui Gu · Jingbin He · Lianghao Su · Kang He · Wenxiao Wang · Yuliang Liu

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

Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining

Anirudh Subramanyam · Yuxin Chen · Robert Grossman

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

Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data

Yasi Zhang · Tianyu Chen · Zhendong Wang · Yingnian Wu · Mingyuan Zhou · Oscar Leong

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

Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management

Mo Li · L.H. Xu · Qitai Tan · Long Ma · Ting Cao · Yunxin Liu · Hongyong Song

Secret-Protected Evolution for Differentially Private Synthetic Text Generation

Tianze Wang · Zhaoyu Chen · Jian Du · Yingtai Xiao · Linjun Zhang · Qiang Yan

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

SeeDNorm: Self-Rescaled Dynamic Normalization

Wenrui Cai · Defa Zhu · Siyuan Qiao · Qingjie Liu · Qiyang Min

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

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

Self-Consistency Improves the Trustworthiness of Self-Interpretable GNNs

Wenxin Tai · Ting Zhong · Goce Trajcevski · Fan Zhou

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

Justin Cui · Jie Wu · Ming Li · Tao Yang · Xiaojie Li · Rui Wang · Andrew Bai · Yuanhao Ban · Cho-Jui Hsieh

Self-Guided Low Light Object Detection Framework

Gwangik Shin · Jaeha Song · Soonmin Hwang

Self-Speculative Decoding Accelerates Lossless Inference in Any-Order and Any-Subset Autoregressive Models

Gabe Guo · Stefano Ermon

Self-Speculative Masked Diffusions

Andrew Campbell · Valentin De Bortoli · Jiaxin Shi · Arnaud Doucet

Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems

Giacomo Turri · Luigi Bonati · Kai Zhu · massimiliano pontil · Pietro Novelli

Semi-Supervised Preference Optimization with Limited Feedback

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

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

SeRI: Gradient-Free Sensitive Region Identification in Decision-Based Black-Box Attacks

Feiyang Wang · Xingquan Zuo · Hai Huang · Gang Chen · Hangwei Qian

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

Set Representation Auxiliary Learning with Adversarial Encoding Perturbation and Optimization

Yankai Chen · Xinni Zhang · Henry Peng Zou · Bowei He · Yangning Li · Philip Yu · Irwin King · Xue Liu

ShapeGen4D: Towards High Quality 4D Shape Generation from Videos

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

ShieldedCode: Learning Robust Representations for Virtual Machine Protected Code

Mingqiao Mo · Yunlong Tan · Hao Zhang · Heng Zhang · Yangfan He

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

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

SiMO: Single-Modality-Operable Multimodal Collaborative Perception

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

Simplicial Embeddings Improve Sample Efficiency in Actor–Critic Agents

Johan S Obando Ceron · Walter Mayor · Samuel Lavoie · Scott Fujimoto · Aaron Courville · Pablo Samuel Castro

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

Single-Loop Byzantine-Resilient Federated Bilevel Optimization

Yangnan Li · Shenghui Song · Xuanyu Cao

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

SMixer: Rethinking Efficient-Training and Event-Driven SNNs

Yijie Lu · Zhaokun Zhou · Yixing Zhang · Zhiyan Wang · Xinhao Luo · Wentao Li · Yanhan Wang · Zhi Liu · Guoqi Li

SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model

Dongli Xu · Aleksei Tiulpin · Matthew Blaschko

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

SongEcho: Cover Song Generation via Instance-Adaptive Element-wise Linear Modulation

Sifei Li · Yang Li · Zizhou Wang · Yuxin Zhang · Fuzhang Wu · Oliver Deussen · Tong-Yee Lee · Weiming Dong

SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling

Elisabetta Fedele · Francis Engelmann · Ian Huang · Or Litany · Marc Pollefeys · Leonidas Guibas

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

Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model

Fuhao Li · Wenxuan Song · Han Zhao · Jingbo Wang · Pengxiang Ding · Donglin Wang · Long ZENG · Haoang Li

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

SpectraLLM: Uncovering the Ability of LLMs for Molecule Structure Elucidation from Multi-Spectra

YUNYUE SU · Jiahui Chen · Zao Jiang · Zhenyi Zhong · Liang Wang · Qiang Liu · Zhaoxiang Zhang

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

SPELL: Self-Play Reinforcement Learning for evolving Long-Context Language Models

Ziyi Yang · Weizhou Shen · Chenliang Li · Ruijun Chen · Fanqi Wan · Ming Yan · Xiaojun Quan · Fei Huang

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

SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMs

Yuyou Zhang · Radu Corcodel · Chiori Hori · Anoop Cherian · DING ZHAO

SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus

Ming Zhao · Wenhui Dong · Yang Zhang · wangyou · Zhonghao Zhang · Zian Zhou · YUNZHI GUAN · Liukun Xu · Wei Peng · Zhaoyang Gong · Zhicheng Zhang · Dachuan li · Xiaosheng Ma · Yuli Ma · Jianing Ni · Changjiang Jiang · Lixia Tian · Chen Qixin · Xia Kaishun · Pingping Liu · Tongshun Zhang · ZhiqiangLiu · Zhongan Bi · Chenyang Si · Tiansheng Sun · Caifeng Shan

SPRIG: Improving Large Language Model Performance by System Prompt Optimization

Lechen Zhang · Tolga Ergen · Lajanugen Logeswaran · Moontae Lee · David Jurgens

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

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

Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning

Luckeciano Carvalho Melo · Alessandro Abate · Yarin Gal

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

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

STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling Models

Jiliang Ni · Jiachen Pu · Zhongyi Yang · Jingfeng Luo · Conggang Hu

Steering Language Models with Weight Arithmetic

constanza fierro · Fabien Roger

Step-Aware Residual-Guided Diffusion for EEG Spatial Super-Resolution

Hongjun Liu · Leyu Zhou · Zijianghao Yang · Chao Yao

StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models

Chenyu Zhou · Tianyi Xu · Jianghao Lin · Dongdong Ge

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

Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs

Dong Yan · Jian Liang · Ran He · Tieniu Tan

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

StreamingThinker: Large Language Models Can Think While Reading

Junlong Tong · Yingqi Fan · Anhao Zhao · Yunpu Ma · Xiaoyu Shen

Streaming Visual Geometry Transformer

Dong Zhuo · Wenzhao Zheng · Jiahe Guo · Yuqi Wu · Jie Zhou · Jiwen Lu

Strong Correlations Induce Cause Only Predictions in Transformer Training

Haihan Zhang · Yimu Zhang · Cong Fang

Strongly Convex Sets in Riemannian Manifolds

Damien Scieur · David Martinez-Rubio · thomas Kerdreux · Alexandre d'Aspremont · Sebastian Pokutta

Sublinear Spectral Clustering Oracle with Little Memory

Ranran Shen · Xiaoyi Zhu · Pan Peng · Zengfeng Huang

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

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

Synchronizing Probabilities in Model-Driven Lossless Compression

Jennifer Tang · Aviv Adler

Syncphony: Synchronized Audio-to-Video Generation with Diffusion Transformers

Jibin Song · Mingi Kwon · Jaeseok Jeong · Youngjung Uh

Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking

Shengqiong Wu · Bobo Li · Xinkai Wang · Xiangtai Li · Lei Cui · Furu Wei · Shuicheng YAN · Hao Fei · Tat-Seng Chua

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

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

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

TableMaster: A Recipe to Advance Table Understanding with Language Models

Lang Cao · Hanbing Liu

Tackling the XAI Disagreement Problem with Adaptive Feature Grouping

Gabriel Laberge · Ola Ahmad

Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs

Tian Tang · Kan Zhu · Qinyu Xu · Zhan Jin · Yile Gu · Zhichen Zeng · Rohan Kadekodi · Liangyu Zhao · Ang Li · Arvind Krishnamurthy · Baris Kasikci

Take Note: Your Molecular Dataset Is Probably Aligned

Peter Lippmann · Roman Remme · Manuel Viktor Klockow · Fred A Hamprecht

Taming the Fragility of KV Cache Eviction in LLM Inference

yuan feng · Haoyu Guo · Junlin Lv · Xike Xie · S Kevin Zhou

TAMMs:~Change Understanding and Forecasting in Satellite Image Time Series with a Temporal-Aware Multimodal Model

Zhongbin Guo · Yuhao Wang · Ping Jian · Chengzhi Li · Xinyue Chen · Zhen Yang · Ertai E

Teach to Reason Safely: Policy-Guided Safety Tuning for MLRMs

Jingyu Zhang · Kun Yang · Ming Wen · Zhuoer Xu · Zeyang Sha · shiwen cui · Zhaohui Yang

Temporal Geometry of Deep Networks: Hyperbolic Representations of Training Dynamics for Intrinsic Explainability

Ambarish Moharil

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

Test-Time Iterative Error Correction for Efficient Diffusion Models

Yunshan Zhong · Weiqi Yan · Yuxin Zhang

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

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

The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward

Long Li · JIARAN HAO · Jason Liu · Zhijian Zhou · Yanting Miao · Wei Pang · Xiaoyu Tan · Wei Chu · Zhe Wang · Shirui Pan · Chao Qu · Yuan Qi

The Deleuzian Representation Hypothesis

Clément Cornet · Romaric Besançon · Hervé Le Borgne

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

The Expressive Limits of Diagonal SSMs for State-Tracking

Mehran Shakerinava · Behnoush Khavari · Siamak Ravanbakhsh · Sarath Chandar

The First Impression Problem: Internal Bias Triggers Overthinking in Reasoning Models

Renfei Dang · Zhening Li · Shujian Huang · Jiajun Chen

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

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

The Mind's Transformer: Computational Neuroanatomy of LLM-Brain Alignment

Cheng-Yeh Chen · Raghupathy Sivakumar

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

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

The Natural Geometry of Code: Hyperbolic Representation Learning for Program Reasoning

Weilin Zhou

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

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

The Value of Information in Human-AI Decision-making

Ziyang Guo · Yifan Wu · Jason Hartline · Jessica Hullman

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

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

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

TIGaussian: Disentangle Gaussians for Spatial-Awared Text-Image-3D Alignment

Jiarun Liu · Qifeng Chen · Yiru Zhao · Minghua Liu · Baorui Ma · Sheng Yang

Tight Bounds for Schrodinger Potential Estimation in Unpaired Data Translation

Nikita Puchkin · Denis Suchkov · Aleksei Naumov · Denis Belomestny

Time-Gated Multi-Scale Flow Matching for Time-Series Imputation

Hangtian Wang · Mahito Sugiyama

Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models

Wen Wang · Bozhen Fang · Chenchen Jing · Yongliang Shen · Yangyi Shen · Qiuyu Wang · Hao Ouyang · Hao Chen · Chunhua Shen

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

(Token-Level) \textbf{InfoRMIA}: Stronger Membership Inference and Privacy Assessment for LLMs

Jiashu Tao · Reza Shokri

Topological Anomaly Quantification for Semi-supervised Graph Anomaly Detection

Ting Guo · Yangrui Fan · Caixia Cui · Jiye Liang · Jiao Zhao · Da Wang

Topological Causal Effects

Kwangho Kim · Hajin Lee

Topology Matters in RTL Circuit Representation Learning

Mingyu Zhao · Xun He · Jiawei Liu · Jianwang Zhai · Chuan Shi

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

TOUCH: Text-guided Controllable Generation of Free-Form Hand-Object Interactions

Guangyi Han · Wei Zhai · Yuhang Yang · Yang Cao · Zheng-Jun Zha

Towards a Sharp Analysis of Learning Offline $f$-Divergence-Regularized Contextual Bandits

Qingyue Zhao · Kaixuan Ji · Heyang Zhao · Tong Zhang · Quanquan Gu

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

Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning

Siyang Li · Yize Chen · Yan Guo · Ming Huang · Hui Xiong

Towards Multimodal Data-Driven Scientific Discovery Powered by LLM Agents

Fan Liu · Xiaozhao Zeng · Hao Liu

Towards Personalized Deep Research: Benchmarks and Evaluations

Yuan Liang · Jiaxian Li · Yuqing Wang · WANG PIAOHONG · Motong Tian · Pai Liu · Shuofei Qiao · Runnan Fang · He Zhu · Ge Zhang · Minghao Liu · Yuchen Jiang · Ningyu Zhang · Wangchunshu Zhou

Towards Quantization-Aware Training for Ultra-Low-Bit Reasoning LLMs

Yasuyuki Okoshi · Hikari Otsuka · Daichi Fujiki · Masato Motomura

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

Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer

Simon Schrodi · Elias Kempf · Fazl Barez · Thomas Brox

TPDiff: Temporal Pyramid Video Diffusion Model

Lingmin Ran · Mike Zheng Shou

Traceable Black-Box Watermarks For Federated Learning

Jiahao Xu · Rui Hu · Olivera Kotevska · Zikai Zhang

TRACE: Your Diffusion Model is Secretly an Instance Edge Detector

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

Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning

Martina G. Vilas · Safoora Yousefi · Besmira Nushi · Eric Horvitz · Vidhisha Balachandran

Tractability via Low Dimensionality: The Parameterized Complexity of Training Quantized Neural Networks

Robert Ganian · Frank Sommer · Manuel Sorge

Training Deep Normalization-Free Spiking Neural Networks with Lateral Inhibition.

Peiyu Liu · Jianhao Ding · Zhaofei Yu

Training-Free Reward-Guided Image Editing via Trajectory Optimal Control

Jinho Chang · Jaemin Kim · Jong Chul YE

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

Training Large Reasoning Models Efficiently via Progressive Thought Encoding

Zeliang Zhang · Xiaodong Liu · Hao Cheng · Hao Sun · Chenliang Xu · Jianfeng Gao

Training LLMs with LogicReward for Faithful and Rigorous Reasoning

Jundong Xu · Hao Fei · Huichi Zhou · Xin Quan · Qijun Huang · Shengqiong Wu · William Wang · Mong-Li Lee · Wynne Hsu

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

Trajectory Generation with Conservative Value Guidance for Offline Reinforcement Learning

Tieru Wang · Kunbao Wu · Guoshun Nan

TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning

Shenzhi Yang · Guangcheng Zhu · Xing Zheng · Yingfan MA · Zhongqi Chen · Bowen Song · Weiqiang Wang · Junbo Zhao · Gang Chen · Haobo Wang

Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks

Ruohao Guo · Afshin Oroojlooyjadid · Roshan Sridhar · Miguel Ballesteros · Alan Ritter · Dan Roth

TreeGRPO: Tree-Advantage GRPO for Online RL Post-Training of Diffusion Models

Zheng Ding · Weirui Ye

Tree Search for LLM Agent Reinforcement Learning

Yuxiang Ji · Ziyu Ma · Yong Wang · Guanhua Chen · Xiangxiang Chu · Liaoni Wu

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

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

Trinity: An Evolved LLM Coordinator

Jinglue Xu · Qi Sun · Peter Schwendeman · Stefan Nielsen · Edoardo Cetin · Yujin Tang

TROLL: Trust Regions Improve Reinforcement Learning for Large Language Models

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

TS-Attn: Temporal-wise Separable Attention for Multi-Event Video Generation

Hongyu Zhang · Yufan Deng · Zilin Pan · Peng-Tao Jiang · Bo Li · Qibin Hou · Zhiyang Dou · Zhen Dong · Zhou Daquan

TTOM: Test-Time Optimization and Memorization for Compositional Video Generation

Leigang Qu · Ziyang Wang · Na Zheng · Wenjie Wang · Liqiang Nie · Tat-Seng Chua

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

TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate

Amir Zandieh · Majid Daliri · Majid Hadian · Vahab Mirrokni

Two (narrow) heads are better than (an arbitrarily wide) one

Amanuel Tesfaye · Zeno Kujawa · Rajmohan Rajaraman · Ravi Sundaram

UFO-4D: Unposed Feedforward 4D reconstruction from Two Images

Junhwa Hur · Charles Herrmann · Songyou Peng · Philipp Henzler · Zeyu Ma · Todd Zickler · Deqing Sun

Uncertainty Estimation via Hyperspherical Confidence Mapping

Eunseo Choi · Ho-Yeon Kim · Jaewon Lee · Taeyong jo · Myungjun lee · Heejin Ahn

Uncover Underlying Correspondence for Robust Multi-view Clustering

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

Understanding and improving Shampoo and SOAP via Kullback-Leibler Minimization

Wu Lin · Scott C Lowe · Felix Dangel · Runa Eschenhagen · Zikun Xu · Roger Grosse

Understanding the Dynamics of Forgetting and Generalization in Continual Learning via the Neural Tangent Kernel

Guodong Zheng · Shengchao Hu · Peng Wang · Quan Zheng · Li Shen

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

Unified 3D Scene Understanding Through Physical World Modeling

Wanhee Lee · Klemen Kotar · Rahul Venkatesh · Jared Watrous · Honglin Chen · Khai Loong Aw · Daniel Yamins

UniHand: A Unified Model for Diverse Controlled 4D Hand Motion Modeling

Zhihao Sun · Tong Wu · Ruirui Tu · Daoguo Dong · Zuxuan Wu

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

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

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

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

Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting

Siyuan Wang · Peng Chen · Yihang Wang · Wanghui Qiu · Yang Shu · Guo · Bin Yang

UnLoc: Leveraging Depth Uncertainties for Floorplan Localization

Matthias Wüest · Francis Engelmann · Ondrej Miksik · Marc Pollefeys · Daniel Barath

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

Unsupervised Invariant Risk Minimization

Yotam Norman · Ron Meir

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

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

Using maximal information auxiliary variables to improve synthetic data generation based on TabPFN foundation models

Elias Chaibub Neto

Value Gradient Flow: Behavior-Regularized RL without Regularization

Haoran Xu · Kaiwen Hu · Somayeh Sojoudi · Amy Zhang

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

Variation-aware Flexible 3D Gaussian Editing

Hao Qin · Yukai Sun · Meng Wang · Ming Kong · Mengxu Lu · Qiang Zhu

Variation in Verification: Understanding Verification Dynamics in Large Language Models

Yefan Zhou · Austin Xu · Yilun Zhou · Janvijay Singh · Jiang Gui · Shafiq Joty

VERINA: Benchmarking Verifiable Code Generation

Zhe Ye · Zhengxu Yan · Jingxuan He · Timothe Kasriel · Kaiyu Yang · Dawn Song

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

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

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

Video-As-Prompt: Unified Semantic Control for Video Generation

Yuxuan Bian · Xin Chen · Zenan Li · Tiancheng Zhi · Shen Sang · Linjie Luo · Qiang Xu

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

Video Scene Segmentation with Genre and Duration Signals

Jungu Cho · Seong Jong Ha · Hae-Gon Jeon

Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Qinsi Wang · Bo Liu · Tianyi Zhou · Jing Shi · Yueqian Lin · Yiran Chen · Hai Li · Kun Wan · Wentian Zhao

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

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

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

ViTSP: A Vision Language Models Guided Framework for Large-Scale Traveling Salesman Problems

Zhuoli Yin · Yi Ding · Reem Khir · Hua Cai

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models

Jianke Zhang · Xiaoyu Chen · Yanjiang Guo · Yucheng Hu · Jianyu Chen

VOGUE: Unified Understanding, Generation, and Editing for Videos

Cong Wei · Quande Liu · Zixuan Ye · Qiulin Wang · Xintao WANG · Pengfei Wan · Kun Gai · Wenhu Chen

WAFT: Warping-Alone Field Transforms for Optical Flow

Yihan Wang · Jia Deng

WARP: Weight Teleportation for Attack-Resilient Unlearning Protocols

Mohammad M Maheri · Xavier Cadet · Peter Chin · Hamed Haddadi

Weak-to-Strong Generalization with Failure Trajectories

Ruimeng Ye · Zihan Wang · Yang Xiao · Zinan Ling · Manling Li · Bo Hui

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

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

What Happens Next? Anticipating Future Motion by Generating Point Trajectories

Gabrijel Boduljak · Laurynas Karazija · Iro Laina · Christian Rupprecht · Andrea Vedaldi

What happens when generative AI models train recursively on each others' outputs?

Hung Vu · Galen Reeves · Emily Wenger

When and Where to Reset Matters for Long-Term Test-Time Adaptation

Taejun Lim · Joong-Won Hwang · Kibok Lee

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

Why Adversarially Train Diffusion Models?

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

Why DPO is a Misspecified Estimator and How to Fix It

Aditya Gopalan · Sayak Ray Chowdhury · Debangshu Banerjee

Why High-rank Neural Networks Generalize?: An Algebraic Framework with RKHSs

Yuka Hashimoto · Sho Sonoda · Isao Ishikawa · Masahiro Ikeda

Why is Your Language Model a Poor Implicit Reward Model?

Noam Razin · Yong Lin · Jiarui Yao · Sanjeev Arora

Why Keep Your Doubts to Yourself? Trading Visual Uncertainties in Multi-Agent Bandit Systems

jusheng zhang · Yijia Fan · Kaitong Cai · Jing Yang · Jiawei Yao · Jian Wang · Guanlong Qu · Ziliang Chen · Keze Wang

Why Less is More (Sometimes): A Theory of Data Curation

Elvis Dohmatob · Mohammad Pezeshki · Reyhane Askari Hemmat

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

WILD-Diffusion: A WDRO Inspired Training Method for Diffusion Models under Limited Data

Xianglu Wang · Wanlin Zhang · Hu Ding

WIMFRIS: WIndow Mamba Fusion and Parameter Efficient Tuning for Referring Image Segmentation

Seunghun Moon · Hyunwoo Yu · Haeuk Lee · Suk-Ju Kang

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

Zero-shot Forecasting by Simulation Alone

Boris Oreshkin · Mayank Jauhari · Ravi Kiran Selvam · Malcolm Wolff · Shankar Ramasubramanian · KIN GUTIERREZ · Tatiana Konstantinova · Andres Potapczynski · Wenhao Pan · Mengfei Cao · Dmitry Efimov · Michael W Mahoney · Andrew Gordon Wilson

Zero-shot Human Pose Estimation using Diffusion-based Inverse solvers

Sahil Bhandary Karnoor · Romit Roy Choudhury

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