ICLR 2026 Thursday 04/23

Timezone: America/Sao_Paulo

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

Oral

Oral Session 1A

10:30 AM - 12:00 PM

6 Events in this session

Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling

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

$\mathbf{T^3}$: Reducing Belief Deviation in Reinforcement Learning for Active Reasoning

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

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

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

Verifying Chain-of-Thought Reasoning via its Computational Graph

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

Revela: Dense Retriever Learning via Language Modeling

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

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

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

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Oral

Oral Session 1B

10:30 AM - 12:00 PM

7 Events in this session

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

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

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

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

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

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

DiffusionNFT: Online Diffusion Reinforcement with Forward Process

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

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

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

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

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

Neon: Negative Extrapolation From Self-Training Improves Image Generation

sina alemohammad · Zhangyang Wang · Richard Baraniuk

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Oral

Oral Session 1C

10:30 AM - 12:00 PM

4 Events in this session

Mastering Sparse CUDA Generation through Pretrained Models and Deep Reinforcement Learning

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

RefineStat: Efficient Exploration for Probabilistic Program Synthesis

Madhav Kanda · Shubham Dipak Ugare · Sasa Misailovic

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

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

TileLang: Bridge Programmability and Performance in Modern Neural Kernels

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

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Oral

Oral Session 1D

10:30 AM - 12:00 PM

7 Events in this session

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

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

Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering

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

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

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

Multi-Domain Transferable Graph Gluing for Building Graph Foundation Models

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

Modality-free Graph In-context Alignment

Wei Zhuo · Siqiang Luo

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

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

Exchangeability of GNN Representations with Applications to Graph Retrieval

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

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Oral

Oral Session 1E

10:30 AM - 12:00 PM

7 Events in this session

Information Shapes Koopman Representation

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

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

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

Similarity-aware Non-Convex Federated Optimization

Xiaowen Jiang · Anton Rodomanov · Sebastian Stich

On the Wasserstein Geodesic Principal Component Analysis of probability measures

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

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

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

Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport

Harry Amad · Mihaela van der Schaar

Gaussian certified unlearning in high dimensions: A hypothesis testing approach

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

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Oral

Oral Session 1F

10:30 AM - 12:00 PM

7 Events in this session

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models

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

Invisible Safety Threat: Malicious Finetuning for LLM via Steganography

Guangnian Wan · Xinyin Ma · Gongfan Fang · Xinchao Wang

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

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

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

Thibaud Gloaguen · Mark Vero · Robin Staab · Martin Vechev

LLM Fingerprinting via Semantically Conditioned Watermarks

Thibaud Gloaguen · Robin Staab · Nikola Jovanović · Martin Vechev

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

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

Every Language Model Has a Forgery-Resistant Signature

Matthew Finlayson · Xiang Ren · Swabha Swayamdipta

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Poster

Poster Session 1

10:30 AM - 1:00 PM

891 Events in this session

$\ell_1$ Latent Distance based Continuous-time Graph Representation

Zhao-Rong Lai · Zheng-Sen Zhou · Liangda Fang · Yongsen Zheng · Ziliang Chen

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

Yuandong Tian

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

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

$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation

Junhao Chen · Yulia Tsvetkov · Xiaochuang Han

A Bayesian Nonparametric Framework For Learning Disentangled Representations

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

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

Raghav Singhal · Kaustubh Ponkshe · Rohit Vartak · Praneeth Vepakomma

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

Ganzhao Yuan

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

Qianyi Bai · Wang · Qiang YU

AbsTopK: Rethinking Sparse Autoencoders For Bidirectional Features

Xudong Zhu · Mohammad Mahdi Khalili · Zhihui Zhu

AB-UPT: Scaling Neural CFD Surrogates for High- Fidelity Automotive Aerodynamics Simulations via Anchored- Branched Universal Physics Transformers

Benedikt Alkin · Maurits Bleeker · Richard Kurle · Tobias Kronlachner · Reinhard Sonnleitner · Matthias Dorfer · Johannes Brandstetter

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

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

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

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

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

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

A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization

Xuan Tang · Jichu Li · Difan Zou

Action-Guided Attention for Video Action Anticipation

Tsung-Ming Tai · Sofia Casarin · Andrea Pilzer · Werner Nutt · Oswald Lanz

ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment

Xiaoqiang Lin · Arun Verma · Zhongxiang Dai · Daniela Rus · See-Kiong Ng · Bryan Kian Hsiang Low

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

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

AdAEM: An Adaptively and Automated Extensible Evaluation Method of LLMs' Value Difference

Jing Yao · Shitong Duan · Xiaoyuan Yi · Dongkuan Xu · Peng Zhang · Tun Lu · Ning Gu · Zhicheng Dou · Xing Xie

Adaptive Concept Discovery for Interpretable Few-Shot Text Classification

Lifang ZHENG · Hanmo Liu · Kani Chen

Adaptive Gaussian Expansion for On-the-fly Category Discovery

Chunming Li · Shidong Wang · Haofeng Zhang

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

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

Adaptive Nonlinear Compression for Large Foundation Models

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

Adaptive Width Neural Networks

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

AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning

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

AdaSpec: Adaptive Spectrum for Enhanced Node Distinguishability

Fangbing Liu · Qing Wang

A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond

Nikos Tsikouras · Yorgos Pantis · Ioannis Mitliagkas · Christos Tzamos

AdS-GNN - a Conformally Equivariant Graph Neural Network

Maksim Zhdanov · Nabil Iqbal · Erik Bekkers · Patrick Forré

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

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

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

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

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

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

Algorithmic Guarantees for Distilling Supervised and Offline RL Datasets

Aaryan Gupta · Rishi Saket · Aravindan Raghuveer

AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal Transport

Lingkai Kong · Molei Tao · Yang Liu · Bryan Wang · Jinmiao Fu · Chien-Chih Wang · Huidong Liu

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

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

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

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

Amortising Inference and Meta-Learning Priors in Neural Networks

Tommy Rochussen · Vincent Fortuin

Analyzing and Evaluating Unbiased Language Model Watermark

Yihan Wu · Xuehao Cui · Ruibo Chen · Heng Huang

An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models

Changwoo Baek · Jouwon Song · Sohyeon Kim · Kyeongbo Kong

A New Initialization to Control Gradients in Sinusoidal Neural Networks

Andrea Combette · Nelly Pustelnik · Antoine Venaille

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

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

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

Po-Chen Kuo · Edgar Walker

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

Shyam Venkatasubramanian · Sean Moushegian · Ahmed Aloui · Vahid Tarokh

AntigenLM: Structure-Aware DNA Language Modeling for Influenza

YUE PEI · Xuebin Chi · Yu KANG

AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs

Gunho Park · Jeongin Bae · Beomseok Kwon · Byeongwook Kim · Se Jung Kwon · Dongsoo Lee

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

Peng Sun · Tao Lin

AnyTouch 2: General Optical Tactile Representation Learning For Dynamic Tactile Perception

Ruoxuan Feng · Yuxuan Zhou · Siyu Mei · Dongzhan Zhou · Pengwei Wang · Shaowei Cui · Bin Fang · Guocai Yao · Di Hu

A Problem-Oriented Perspective and Anchor Verification for Code Optimization

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

A Recovery Guarantee for Sparse Neural Networks

Sara Fridovich-Keil · Mert Pilanci

A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization

Hideaki Kim · Tomoharu Iwata

ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning

Roger Creus Castanyer · Faisal Mohamed · Pablo Samuel Castro · Cyrus Neary · Glen Berseth

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

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

A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control

Louis Claeys · Artur Goldman · Zebang Shen · Niao He

ASGuard: Activation-Scaling Guard to Mitigate Targeted Jailbreaking Attack

Yein Park · Jungwoo Park · Jaewoo Kang

ASIDE: Architectural Separation of Instructions and Data in Language Models

Egor Zverev · Evgenii Kortukov · Alexander Panfilov · Alexandra Volkova · Soroush Tabesh · Sebastian Lapuschkin · Wojciech Samek · Christoph Lampert

Assessing Robustness via Score-Based Adversarial Image Generation

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

AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer

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

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

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

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

Philip Müller · Friederike Jungmann · Georgios Kaissis · Daniel Rueckert

Asynchronous Policy Gradient Aggregation for Efficient Distributed Reinforcement Learning

Alexander Tyurin · Andrei Spiridonov · Varvara Rudenko

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

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

Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models

Runze Liu · Jiakang Wang · Yuling Shi · Zhihui Xie · Chenxin An · Kaiyan Zhang · Jian Zhao · Xiaodong Gu · Lei Lin · Wenping Hu · Xiu Li · Fuzheng Zhang · Guorui Zhou · Kun Gai

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

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

AudioTrust: Benchmarking The Multifaceted Trustworthiness of Audio Large Language Models

Kai Li · Can Shen · Yile Liu · Jirui Han · Kelong zheng · Xuechao Zou · Lionel WANG · Shun Zhang · Xingjian Du · Hanjun Luo · Yingbin Jin · Xinxin Xing · Ziyang Ma · Yue Liu · YiFan Zhang · Junfeng Fang · Kun Wang · Yibo Yan · Gelei Deng · Haoyang LI · Yiming Li · Xiaobin Zhuang · Tianlong Chen · Qingsong Wen · Tianwei Zhang · Yang Liu · Haibo Hu · Zhizheng Wu · Xiaolin Hu · Ensiong Chng · Wenyuan Xu · XiaoFeng Wang · Wei Dong · Xinfeng Li

Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test

Xiaoyuan Zhu · Yaowen Ye · Tianyi Qiu · Hanlin Zhu · Sijun Tan · Ajraf Mannan · Jonathan Michala · Raluca Popa · Willie Neiswanger

A Unification of Discrete, Gaussian, and Simplicial Diffusion

Nuria Chandra · Yucen Li · Alan Amin · Alex Ali · Joshua Rollins · Sebastian W. Ober · Aniruddh Raghu · Andrew Gordon Wilson

Aurora: Towards Universal Generative Multimodal Time Series Forecasting

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

AutoCode: LLMs as Problem Setters for Competitive Programming

Shang Zhou · Zihan Zheng · Kaiyuan Liu · Zeyu Shen · Zerui Cheng · Zexing Chen · Hansen He · Jianzhu Yao · Huanzhi Mao · Qiuyang Mang · Tianfu Fu · Beichen Li · Dongruixuan Li · Wenhao Chai · Zhuang Liu · Aleksandra Korolova · Peter Henderson · Natasha Jaques · Pramod Viswanath · Saining Xie · Jingbo Shang

AutoDA-Timeseries: Automated Data Augmentation for Time Series

Zijun Dou · Zhenhe Yao · Zhe Xie · Xidao Wen · Tong Xiao · Dan Pei

AutoDrive-R²: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving

Zhenlong Yuan · Chengxuan Qian · Jing Tang · Rui Chen · Zijian Song · Lei Sun · Xiangxiang Chu · Yujun Cai · Dapeng Zhang · Shuo Li

Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors

Xin Liu · Runsong Zhao · Pengcheng Huang · Xinyu Liu · Junyi Xiao · chunyang xiao · Tong Xiao · Shengxiang Gao · Zhengtao Yu · JingBo Zhu

Automata Learning and Identification of the Support of Language Models

Satwik Bhattamishra · Michael Hahn · Varun Kanade

AutoMetrics: Approximate Human Judgments with Automatically Generated Evaluators

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

Autoregressive Visual Decoding from EEG Signals

Sicheng Dai · Hongwang Xiao · Shan Yu · Qiwei Ye

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

Or Tal · Felix Kreuk · Yossi Adi

AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization

Ashutosh Chaubey · Jiacheng Pang · Maksim Siniukov · Mohammad Soleymani

Bayesian Influence Functions for Hessian-Free Data Attribution

Philipp Alexander Kreer · Wilson Wu · Maxwell Adam · Zach Furman · Jesse Hoogland

Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!

Zhexin Zhang · Yuhao Sun · Junxiao Yang · Shiyao Cui · yuanchao zhang · Hongning Wang · Minlie Huang

Behavior Learning

Zhenyao Ma · Yue Liang · Dongxu Li

Benchmarking ECG Foundational Models: A Reality Check Across Clinical Tasks

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

Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks

Andrii Kliachkin · Jana Lepšová · Gilles Bareilles · Jakub Marecek

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis

Gholamali Aminian · Idan Shenfeld · Amir Reza Asadi · Ahmad Beirami · Youssef Mroueh

Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models

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

Beyond Distributions: Geometric Action Control for Continuous Reinforcement Learning

Zhihao Lin

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

Qian Chen · Jinyu Zhang · Ling Chen

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

Haomiao Chen · Keith Jamison · Mert Sabuncu · Amy Kuceyeski

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

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

Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE

Guancheng Wan · Lucheng Fu · Haoxin Liu · Yiqiao Jin · Hui Leong · Eric Jiang · Hejia Geng · Jinhe Bi · Yunpu Ma · Xiangru Tang · B. Aditya Prakash · Yizhou Sun · Wei Wang

Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring

Zhibo Hou · Zhiyu An · Wan Du

Beyond Outliers: A Study of Optimizers Under Quantization

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

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

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

Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts

Zhaomin Wu · Mingzhe Du · See-Kiong Ng · Bingsheng He

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

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

BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models

Thierry Blankenstein · Jialin Yu · Zixuan Li · Vassilis Plachouras · Sunando Sengupta · Philip Torr · Yarin Gal · Alasdair Paren · Adel Bibi

BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses

Xin Xu · Xunzhi He · Churan Zhi · Ruizhe Chen · Julian McAuley · Zexue He

Boosting Open Set Recognition Performance through Modulated Representation Learning

Amit Kumar Kundu · Vaishnavi Patil · Joseph JaJa

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary

Zhiwei Zhang · Hui Liu · Xiaomin Li · Zhenwei Dai · Jingying Zeng · Fali Wang · Minhua Lin · Ramraj Chandradevan · Linlin Wu · Zhen Li · Chen Luo · Zongyu Wu · Xianfeng Tang · Qi He · Suhang Wang

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

Wenshuo Wang · Fan Zhang

Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code Generation

Lei Chen · Xuanle Zhao · Zhixiong Zeng · Jing Huang · Liming Zheng · Yufeng Zhong · Lin Ma

Bridging Degradation Discrimination and Generation for Universal Image Restoration

Jiakui Hu · Zhengjian Yao · Lujia Jin · Yanye Lu

Bridging Draft Policy Misalignment: Group Tree Optimization for Speculative Decoding

Shijing Hu · Jingyang Li · Zhihui Lu · Pan Zhou

Bridging ML and algorithms: comparison of hyperbolic embeddings

Dorota Celińska-Kopczyńska · Eryk Kopczyński

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

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

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

JoonKyu Park · Kyoung Mu Lee

Budget Alignment: Making Models Reason in the User's Language

Shan Chen · Jirui Qi · Zidi Xiong · Timothy Miller · Arianna Bisazza · Raquel Fernández · Danielle Bitterman

Byzantine-Robust Federated Learning with Learnable Aggregation Weights

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

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

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

cadrille: Multi-modal CAD Reconstruction with Reinforcement Learning

Maksim Kolodiazhnyi · Denis Tarasov · Dmitrii Zhemchuzhnikov · Alexander Nikulin · Ilya Zisman · Anna Vorontsova · Anton Konushin · Vladislav Kurenkov · Danila Rukhovich

CAGE: A Framework for Culturally Adaptive Red-Teaming Benchmark Generation

Chaeyun Kim · YongTaek Lim · Kihyun Kim · Junghwan Kim · Minwoo Kim

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

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

Can LLMs Reason Soundly in Law? Auditing Inference Patterns for Legal Judgment

Lu Chen · Yuxuan Huang · Yixing Li · Dongrui Liu · Qihan Ren · ShuaiZhao · Kun Kuang · Zilong Zheng · Quanshi Zhang

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

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

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

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

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

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

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

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

Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks

Songyao Jin · Biwei Huang

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models

Runpeng Dai · Linfeng Song · Haolin Liu · Zhenwen Liang · Dian Yu · Haitao Mi · Zhaopeng Tu · Rui Liu · Tong Zheng · Hongtu Zhu · Dong Yu

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

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

CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detections

Boyang Dai · Zeng Fan · Zihao Qi · Meng Lou · Yizhou Yu

Characterizing and Mitigating Reasoning Drift in Large Language Models

Yufeng Zhang · Xuepeng Wang · Lingxiang Wu · Jinqiao Wang

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

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

ChemEval: A Multi-level and Fine-grained Chemical Capability Evaluation for Large Language Models

Yuqing Huang · Rongyang Zhang · Xuesong He · Xuyang Zhi · Hao Wang · Nuo Chen · Zongbo Liu · Xin Li · Feiyang Xu · Deguang Liu · Huadong Liang · YiLi · Jian Cui · Yin Xu · Shijin Wang · Guiquan Liu · Qi Liu · Defu Lian · Enhong Chen

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

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

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

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

CIAR: Interval-based Collaborative Decoding for Image Generation Acceleration

Keming Ye · Zhou Zhao · Fan Wu · Shengyu Zhang

CIMemories: A Compositional Benchmark For Contextual Integrity In LLMs

Niloofar Mireshghallah · Neal Mangaokar · Narine Kokhlikyan · Arman Zharmagambetov · Manzil Zaheer · Saeed Mahloujifar · Kamalika Chaudhuri

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

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

CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk

Ilia Azizi · Juraj Bodik · Jakob Heiss · Bin Yu

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

Darina Koishigarina · Arnas Uselis · Seong Joon Oh

Closed-form $\ell_r$ norm scaling with data for overparameterized linear regression and diagonal linear networks under $\ell_p$ bias

Shuofeng Zhang · Ard Louis

CNN Interpretability with Multivector Tucker Saliency Maps for Self-Supervised Models

Aymene Mohammed Bouayed · Samuel Deslauriers-gauthier · Adrian IACOVELLI · David Naccache

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

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

CoFact: Conformal Factuality Guarantees for Language Models under Distribution Shift

Zirui Hu · Zheng Zhang · Yingjie Wang · Leszek Rutkowski · Dacheng Tao

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

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

CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control

Zirui Yuan · Siqi Lai · Hao Liu

Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition

Jiahang Cao · Yize Huang · Hanzhong Guo · Qiang Zhang · Rui Zhang · Weijian Mai · Mu Nan · Jiaxu Wang · Hao Cheng · Jingkai SUN · Gang Han · Wen Zhao · Yijie Guo · Qihao Zheng · Xiao Li · Chunfeng Song · Ping Luo · Andrew Luo

Composite Optimization with Error Feedback: the Dual Averaging Approach

Yuan Gao · Anton Rodomanov · Jeremy Rack · Sebastian Stich

Compositional-ARC: Assessing Systematic Generalization in Abstract Spatial Reasoning

Philipp Mondorf · Shijia Zhou · Monica Riedler · Barbara Plank

Compositional Visual Planning via Inference-Time Diffusion Scaling

Yixin Zhang · Yunhao Luo · Utkarsh Mishra · Woo Shin · Yongxin Chen · Danfei Xu

Conditional Independent Component Analysis For Estimating Causal Structure with Latent Variables

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

Conditioned Initialization for Attention

Hemanth Saratchandran · Simon Lucey

ConRep4CO: Contrastive Representation Learning of Combinatorial Optimization Instances across Types

Ziao Guo · Yang Li · Shiyue Wang · Junchi Yan

Consistent Low-Rank Approximation

David Woodruff · Samson Zhou

Constitutional Classifiers++: Production-Grade Defenses against Universal Jailbreaks

Hoagy Cunningham · Jerry Wei · Zihan Wang · Andrew Persic · Alwin Peng · Jordan Abderrachid · Raj Agarwal · Bobby Chen · Andy Dau · Alek Dimitriev · Logan Howard · Yijin Hua · Rob Gilson · Mu Lin · Christopher Liu · Vladimir Mikulik · Rohit Mittapalli · Clare O'Hara · Jin Pan · Nikhil Saxena · Alex Silverstein · Yue Song · Giulio Zhou · Jan Leike · Jared Kaplan · Ethan Perez · Mrinank Sharma

Constrained Diffusion for Protein Design with Hard Structural Constraints

Jacob K. Christopher · Austin Seamann · Jingyi Cui · Sagar Khare · Ferdinando Fioretto

Content-Aware Mamba for Learned Image Compression

Yunuo Chen · Zezheng Lyu · Bing He · Hongwei Hu · Qi Wang · Yuan Tian · Li Song · Wenjun Zhang · Guo Lu

Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective

Justin Lee · Zheda Mai · Jinsu Yoo · Chongyu Fan · Cheng Zhang · Wei-Lun Chao

Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning

Zhuoxu Huang · Mengxi Jia · Hao Sun · Jungong Han · Xuelong Li

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

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

Cooperative Sheaf Neural Networks

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

CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning Segmentation

Zhenyu Lu · Liupeng Li · Jinpeng Wang · Yan Feng · Bin Chen · Ke Chen · Yaowei Wang

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

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

CORE: Concept-Oriented Reinforcement for Bridging the Definition–Application Gap in Mathematical Reasoning

Zijun Gao · Zhikun Xu · Xiao Ye · Ben Zhou

COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations

Pandula Thennakoon · Avishka Ranasinghe · Mario De Silva · Buwaneka Epakanda · Roshan Godaliyadda · Mervyn Ekanayake · Vijitha Herath

Cost-Aware Dynamic Tree Construction for Efficient Large Language Model Inference

Yinrong Hong · Zhiquan Tan · Kai Hu

Critical attention scaling in long-context transformers

Shi Chen · Zhengjiang Lin · Yury Polyanskiy · Philippe Rigollet

Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning

Chi Ruan · Dongfu Jiang · Yubo Wang · Wenhu Chen

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

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

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

Nam Nguyen · Thinh Nguyen · Bella Bose

CryoSplat: Gaussian Splatting for Cryo-EM Homogeneous Reconstruction

Suyi Chen · Haibin Ling

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

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

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

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

CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model

Xinran Xu · Xiuyi Fan

Curvature-Guided Task Synergy for Skeleton based Temporal Action Segmentation

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

CyclicReflex: Improving Reasoning Models via Cyclical Reflection Token Scheduling

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

DA$^2$: Depth Anything in Any Direction

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

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

Yingxu Wang · Shiqi Fan · Mengzhu Wang · Siyang Gao · Chao Wang · Nan Yin

D-AR: Diffusion via Autoregressive Models

Ziteng Gao · Mike Zheng Shou

Debugging Concept Bottleneck Models through Removal and Retraining

Eric Enouen · sainyam galhotra

Deep-ICE: The first globally optimal algorithm for empirical risk minimization of two-layer maxout and ReLU networks

Xi He · Yi Miao · Max Little

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Xinyan Guan · Jiali Zeng · Fandong Meng · Chunlei Xin · Yaojie Lu · Hongyu Lin · Xianpei Han · Le Sun · Jie Zhou

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents

Mingxuan Du · Benfeng Xu · Chiwei Zhu · Licheng Zhang · Xiaorui Wang · Zhendong Mao

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

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

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

Ya Shen · Gang Chen · Hui Ma · Mengjie Zhang

DELTA-Code: How RL Unlocks and Transfers New Programming Algorithms in LLMs

Yiyou Sun · Yuhan Cao · Pohao Huang · Haoyue Bai · Hanna Hajishirzi · Nouha Dziri · Dawn Song

DeNOTS: Stable Deep Neural ODEs for Time Series

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

Dens3R: A Foundation Model for 3D Geometry Prediction

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

Depth Anything 3: Recovering the Visual Space from Any Views

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

DepthLM: Metric Depth from Vision Language Models

zhipeng cai · Ching-Feng Yeh · Hu Xu · Zhuang Liu · Gregory P. Meyer · Xinjie Lei · Changsheng Zhao · Shang-Wen Li · Vikas Chandra · Yangyang Shi

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

Fanfan Ji · Xiaotong Yuan

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

Yiwen Wang · Diana Benavides-Prado · Yun Sing Koh

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

Rohan Asthana · Vasileios Belagiannis

Detective SAM: Adaptive AI-Image Forgery Localization

Gert Lek · Nicolas van Schaik · Chaoyi Zhu · Pin-Yu Chen · Robert Birke · Lydia Chen

Diagnosing and Improving Diffusion Models by Estimating Optimal Loss Value

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

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

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

Differentially Private Domain Discovery

Vinod Raman · Travis Dick · Matthew Joseph

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

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

Directed Exploration in Reinforcement Learning from Linear Temporal Logic

Marco Bagatella · Andreas Krause · Georg Martius

Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval

Wenhao Yang · Sifan Yang · Lijun Zhang

DiscoX: Benchmarking Discourse-Level Translation in Expert Domains

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

Discrete Audio Tokens: More Than a Survey!

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

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

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

Dissecting Non-Determinism in Large Language Models

Mateus da Silveira · Ronaldinho Vega Centeno Olivera · Alejandro Núñez Arroyo · Allan M. de Souza · JULIO DOS REIS

DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging

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

Distilling to Hybrid Attention Models via KL-Guided Layer Selection

Yanhong Li · Songlin Yang · Shawn Tan · Mayank Mishra · Rameswar Panda · Jiawei Zhou · Yoon Kim

Distributed Algorithms for Euclidean Clustering

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

Distributed Quasi-Newton Method for Fair and Fast Federated Learning

Shayan Mohajer Hamidi · Linfeng Ye

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

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

Diverse Dictionary Learning

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

Does “Do Differentiable Simulators Give Better Policy Gradients?” Give Better Policy Gradients?

Ku Onoda · Paavo Parmas · Manato Yaguchi · Yutaka Matsuo

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

Chenruo Liu · Yijun Dong · Qi Lei

Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?

Ruixin Yang · Ethan Mendes · Arthur Wang · James Hays · Sauvik Das · Wei Xu · Alan Ritter

DPQuant: Efficient and Private Model Training via Dynamic Quantization Scheduling

Yubo Gao · Renbo Tu · Gennady Pekhimenko · Nandita Vijaykumar

DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization

Gang Li · Yan Chen · Ming Lin · Tianbao Yang

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

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

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

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

Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis

Ziquan Zhu · Hanruo Zhu · Si-Yuan Lu · Xiang Li · Yanda Meng · Yunxiao Zhang · Gaojie Jin · Lu Yin · Lijie Hu · Di Wang · Lu Liu · Tianjin Huang

Dual-Path Condition Alignment for Diffusion Transformers

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

DuPO: Enabling Reliable Self-Verification via Dual Preference Optimization

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

DVLA-RL: Dual-Level Vision–Language Alignment with Reinforcement Learning Gating for Few-Shot Learning

Wenhao Li · Xianjing Meng · Qiangchang Wang · Zhongyi Han · Zhibin Wu · Yilong Yin

Dynamic Classifier-Free Diffusion Guidance via Online Feedback

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

Dynamic Reflections: Probing Video Representations with Text Alignment

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

Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models

Yixiu Mao · Yun Qu · Qi Wang · Heming Zou · Xiangyang Ji

Early Signs of Steganographic Capabilities in Frontier LLMs

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

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

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

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

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

Echo: Towards Advanced Audio Comprehension via Audio-Interleaved Reasoning

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

EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget

Liang CHEN · Xueting Han · Qizhou Wang · Bo Han · Jing Bai · Hinrich Schuetze · Kam-Fai Wong

Effect of Parallel Environments and Rollout Steps in PPO

Teerthaa Parakh

Efficient Adversarial Attacks on High-dimensional Offline Bandits

Seyed Mohammad Hadi Hosseini · Amir Najafi · Mahdieh Baghshah

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

Kai Li · Kejun Gao · Xiaolin Hu

Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits

Mengmeng Li · Philipp Schneider · Jelisaveta Aleksic · Daniel Kuhn

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

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

Efficient Spatially-Variant Convolution via Differentiable Sparse Kernel Complex

Zhizhen Wu · Zhe Cao · Yuchi Huo

Efficient Zero-shot Inpainting with Decoupled Diffusion Guidance

Badr MOUFAD · Yazid Janati el idrissi · Navid Bagheri Shouraki · Alain Oliviero Durmus · Thomas Hirtz · Eric Moulines · Jimmy Olsson

EigenBench: A Comparative Behavioral Measure of Value Alignment

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

Eliminating VAE for Fast and High-Resolution Generative Detail Restoration

Yan Wang · Shijie Zhao · Junlin Li · Li zhang

ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework

Yusong Wang · Chuang Yang · Jiawei Wang · Xiaohang Xu · Jiayi Xu · Dongyuan Li · Chuan Xiao · Renhe Jiang

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

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

Emergent Dexterity Via Diverse Resets and Large-Scale Reinforcement Learning

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

Emergent Discrete Controller Modules for Symbolic Planning in Transformers

S M Rafiuddin · Muntaha Khan

Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning

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

EMFuse: Energy-based Model Fusion for Decision Making

Kejie He · Yi-Chen Li · Yang Yu

EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning

Dingdong WANG · Shujie LIU · Tianhua Zhang · Youjun Chen · Jinyu Li · Helen Meng

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

Yingzhao Jian · Zhongan Wang · Yi Yang · Hehe Fan

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

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

Enforcing Axioms for AI Alignment under Loss-Based Rules

Alexandros Hollender · Sonja Kraiczy

Enhanced Generative Model Evaluation with Clipped Density and Coverage

Nicolas Salvy · Hugues Talbot · Bertrand Thirion

Enhancing Complex Symbolic Logical Reasoning of Large Language Models via Sparse Multi-Agent Debate

Haocheng Yang · Fengxiang Cheng · Tianjun Yao · Jiajun Chai · Xiaohan Wang · Guojun Yin · Wei Lin · Mengyue Yang · Yisen Wang · Fenrong Liu · Haoxuan Li · Soummya Kar

Enhancing Image-Conditional Coverage in Segmentation: Adaptive Thresholding via Differentiable Miscoverage Loss

Rui Luo · Jie Bao · Xiaoyi Su · Wen Li · Suqun Cao

Enhancing Multi-Image Understanding through Delimiter Token Scaling

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

Enhancing Vision-Language Model with Unmasked Token Alignment

Jihao Liu · Jinliang Zheng · Boxiao Liu · Yu Liu · Hongsheng Li

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs

Zixuan Ren · Jinliang Lu · Junhong Wu · Yang Zhao · Dai Dai · hua wu · Haifeng Wang · Chengqing Zong

Entropic Confinement and Mode Connectivity in Overparameterized Neural Networks

Luca Di Carlo · Chase Goddard · David J Schwab

Entropy-Monitored Kernelized Token Distillation for Audio-Visual Compression

Hyoungseob Park · Lipeng Ke · Pritish Mohapatra · Huajun Ying · sankar venkataraman · Alex Wong

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

Inho Kong · Sojin Lee · Youngjoon Hong · Hyunwoo Kim

Error Feedback for Muon and Friends

Kaja Gruntkowska · Alexander Gaponov · Zhirayr Tovmasyan · Peter Richtarik

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

Zijian Zhu · Fei Ren · Zhanhong Tan · Kaisheng Ma

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

Puhua Niu · Shili Wu · Xiaoning Qian

Evolving Graph Structured Programs for Circuit Generation with Large Language Models

Yinqi Bai · Jie Wang · Lei Chen · Zhihai Wang · Yumeng Li · Mingxuan Yuan · Jianye HAO · Defu Lian · Enhong Chen

ExGRPO: Learning to Reason from Prior Successes

Runzhe Zhan · Yafu Li · Zhi Wang · Xiaoye Qu · Dongrui Liu · Jing Shao · Derek Wong · Yu Cheng

Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns

Xuemiao Zhang · Can Ren · Chengying Tu · Rongxiang Weng · Shuo Wang · Hongfei Yan · Jingang Wang · Xunliang Cai

Expertise Can Be Helpful for Reinforcement Learning-based Macro Placement

Chengrui Gao · Yunqi Shi · Ke Xue · Ruo-Tong Chen · Siyuan Xu · Mingxuan Yuan · Chao Qian · Zhi-Hua Zhou

Expert Merging in Sparse Mixture of Experts with Nash Bargaining

Dung Viet Nguyen · Anh Thi · Minh Hoang Nguyen · Luc Nguyen · Shiqi Jiang · Ethan Fetaya · Duy Linh Tran · Gal Chechik · Tan Nguyen

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

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

Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems

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

Extracting Model Precision from 20 Logprobs

Yiming Zhang · Javier Rando · Florian Tramer · Daphne Ippolito · Nicholas Carlini

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

Enric Adserà · Neil Mallinar · James Simon · Misha Belkin

Fair Classification by Direct Intervention on Operating Characteristics

Kevin Jiang · Edgar Dobriban

Fair Decision Utility in Human-AI Collaboration: Interpretable Confidence Adjustment for Humans with Cognitive Disparities

Jiashi Gao · Kexin Liu · Xinwei Guo · Junlei Zhou · Jiaxin Zhang · Xiangyu Zhao · Guanhua Chen · Xin Yao · Xuetao Wei

Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs

Yiran Zhao · Lu Zhou · Xiaogang Xu · Liming Fang · Zhe Liu · Jiafei Wu

FARI: Robust One-Step Inversion for Watermarking in Diffusion Models

Jindong Yang · Han Fang · Weiming Zhang · Nenghai Yu · Kejiang Chen

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

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

Fast Data Mixture Optimization via Gradient Descent

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

Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

Chengyue Wu · Hao Zhang · Shuchen Xue · Zhijian Liu · Shizhe Diao · Ligeng Zhu · Ping Luo · Song Han · Enze Xie

Faster Diffusion Through Temporal Attention Decomposition

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

Faster SVD via Accelerated Newton-Schulz Iteration

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

FastVGGT: Fast Visual Geometry Transformer

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

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

Albert Miao · Chenliang Zhou · Jiawei Zhou · Cengiz Oztireli

FedOpenMatch: Towards Semi-Supervised Federated Learning in Open-Set Environments

Hongquan Liu · ChenyuGuo Guo · Yixin Ren · Jihong Guan · Shuigeng Zhou

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

Hussain Alasmawi · Numan Saeed · Mohammad Yaqub

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

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

Fewer Weights, More Problems: A Practical Attack on LLM Pruning

Kazuki Egashira · Robin Staab · Thibaud Gloaguen · Mark Vero · Martin Vechev

Fine-Grained Activation Steering: Steering Less, Achieving More

Zijian Feng · Tianjiao Li · Zixiao Zhu · Hanzhang Zhou · Junlang Qian · Li Zhang · Chua Deryl · Lee Mak · Gee Ng · Kezhi Mao

Fine-Grained Privacy Extraction from Retrieval-Augmented Generation Systems by Exploiting Knowledge Asymmetry

Yufei Chen · Yao Wang · Haibin Zhang · Tao Gu

FineNib: A Query Synthesizer For Static Analysis of Security Vulnerabilities

Claire Wang · Ziyang Li · Saikat Dutta · Mayur Naik

Finite-Time Analysis of Actor-Critic Methods with Deep Neural Network Approximation

Xuyang Chen · Fengzhuo Zhang · Keyu Yan · Lin Zhao

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

Yuhao Liu · Yu Chen · Rui Hu · Longbo Huang

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

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

FlashDLM: Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion

Zhanqiu Hu · Jian Meng · Yash Akhauri · Mohamed Abdelfattah · Jae-sun Seo · Zhiru Zhang · Udit Gupta

FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging

Ziyang Fan · Yulin Li · Ruilong Xing · Keyu Chen · Li Jiang · Zhuotao Tian

FlexProtein: Joint Sequence and Structure Pretraining for Protein Modeling

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

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

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

Flow Along the $K$-Amplitude for Generative Modeling

weitao du · Jiasheng Tang · Shuning Chang · Yu Rong · Fan Wang · Shengchao Liu

Flow Autoencoders are Effective Protein Tokenizers

Rohit Dilip · Evan Zhang · Ayush Varshney · David Van Valen

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

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

Flow Matching Policy Gradients

David McAllister · Songwei Ge · Brent Yi · Chung Min Kim · Ethan Weber · Hongsuk Choi · Haiwen Feng · Angjoo Kanazawa

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

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

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

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

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark

Rongyao Fang · Aldrich Yu · Chengqi Duan · Linjiang Huang · Shuai Bai · Yuxuan Cai · Kun Wang · Si Liu · Xihui Liu · Hongsheng Li

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

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

FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference

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

Frequency-Balanced Retinal Representation Learning with Mutual Information Regularization

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

From Assumptions to Actions: Turning LLM Reasoning into Uncertainty-Aware Planning for Embodied Agents

SeungWon Seo · SooBin Lim · SeongRae Noh · Haneul Kim · HyeongYeop Kang

From Markov to Laplace: How Mamba In-Context Learns Markov Chains

Marco Bondaschi · Ashok Makkuva · Nived Rajaraman · Xiuying Wei · Razvan Pascanu · Caglar Gulcehre · Michael Gastpar

From Observations to Events: Event-Aware World Models for Reinforcement Learning

Peng Zhao-Han · Shaohui Li · Zhi Li · Shulan Ruan · Yu LIU · You He

From Pixels to Semantics: Unified Facial Action Representation Learning for Micro-Expression Analysis

Yicheng Deng · Hideaki Hayashi · Hajime Nagahara

From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarper

Ling Li · Changjie Chen · Yuyan Wang · Jiaqing Lyu · Kenglun Chang · Yiyun Chen · Zhidong Deng

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

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

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

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

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

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

FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning

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

FrugalRAG: Less is More in RL Finetuning for Multi-hop Question Answering

Abhinav Java · Srivathsan Koundinyan · Nagarajan Natarajan · Amit Sharma

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

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

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

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

G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior

Junfeng Ni · Yixin Chen · Zhifei Yang · Yu Liu · Ruijie Lu · Song-Chun Zhu · Siyuan Huang

GAVEL: Towards Rule-Based Safety through Activation Monitoring

Shir Rozenfeld · Rahul Pankajakshan · Itay Zloczower · Eyal Lenga · Gilad Gressel · Yisroel Mirsky

gen2seg: Generative Models Enable Generalizable Instance Segmentation

Om Khangaonkar · Hamed Pirsiavash

GenDR: Lighten Generative Detail Restoration

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

General Exploratory Bonus for Optimistic Exploration in RLHF

Wendi Li · Changdae Oh · Yixuan Li

Generalization of Diffusion Models Arises with a Balanced Representation Space

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

Generative Human Geometry Distribution

Xiangjun Tang · Biao Zhang · Peter Wonka

Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation

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

GeoDiv: Framework for Measuring Geographical Diversity in Text-to-Image Models

Abhipsa Basu · Mohana Singh · Shashank Agnihotri · Margret Keuper · Venkatesh Babu Radhakrishnan

GeoGramBench: Benchmarking the Geometric Program Reasoning in Modern LLMs

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

Geometric Graph Neural Diffusion for Stable Molecular Dynamics

Haokai Hong · Wanyu LIN · Chusong Zhang · KC Tan

Geometric-Mean Policy Optimization

Yuzhong Zhao · Yue Liu · Junpeng Liu · Jingye Chen · xun wu · Yaru Hao · Tengchao Lv · Shaohan Huang · Lei Cui · Qixiang Ye · Fang Wan · Furu Wei

Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness

Tavish McDonald · Bo Lei · Stanislav Fort · Bhavya Kailkhura · Brian Bartoldson

GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs

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

Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning

Vittorio Giammarino · Ahmed Hussain Qureshi

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

Weidong Chen · Helen Meng · Xixin Wu

GOLDILOCS: GENERAL OBJECT-LEVEL DETECTION AND LABELING OF CHANGES IN SCENES

Almog Friedlander · Ariel Shamir · Ohad Fried

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

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

GRACE: Generative Representation Learning via Contrastive Policy Optimization

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

Gradient-Based Program Synthesis with Neurally Interpreted Languages

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

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

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

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

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

Graph Diffusion Transformers are In-Context Molecular Designers

Gang Liu · Jie Chen · Yihan Zhu · Michael Sun · Tengfei Luo · Nitesh Chawla · Meng Jiang

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

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

Graph Random Features for Scalable Gaussian Processes

Matthew Zhang · Jihao Andreas Lin · Krzysztof Choromanski · Adrian Weller · Richard E Turner · Isaac Reid

Graph Representational Learning: When Does More Expressivity Hurt Generalization?

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

GRL-SNAM: Geometric Reinforcement Learning with Differential Hamiltonians for Navigation and Mapping in Unknown Environments

Aditya Ellendula · Yi Wang · Minh Nguyen · Chandrajit Bajaj

Group-Normalized Implicit Value Optimization for Language Models

Yunseon Choi · Junyoung Jang · Chaeyoung Oh · Minchan Jeong · Doo Hwan Hwang · Kee-Eung Kim

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

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

GTool: Graph Enhanced Tool Planning with Large Language Model

Wenjie Chen · Di Yao · Wenbin Li · Xuying Meng · Chang Gong · Jingping Bi

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

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

Gumbel Distillation for Parallel Text Generation

Chi Zhang · Xixi Hu · Bo Liu · Qiang Liu

HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs

Xinyue Zeng · Junhong Lin · Yujun Yan · Feng Guo · Liang Shi · Jun Wu · Dawei Zhou

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

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

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

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

Hedonic Neurons: A Mechanistic Mapping of Latent Coalitions in Transformer MLPs

Tanya Chowdhury · Atharva Nijasure · Yair Zick · James Allan

HeurekaBench: A Benchmarking Framework for AI Co-scientist

Siba Smarak Panigrahi · Jovana Videnović · Maria Brbic

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

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

Heuristic-Based Ideation for Guiding LLMs Toward Structured Creativity

Xiao Liu · Haokun Liu · Chenhao Tan

Hidden Patterns in Chain-of-Thought Reasoning

Gregor Bachmann · Seyed-Mohsen Moosavi-Dezfooli · Yichen Jiang · Moin Nabi

High-dimensional Analysis of Synthetic Data Selection

Parham Rezaei · Filip Kovačević · Francesco Locatello · Marco Mondelli

Highly Efficient and Effective LLMs with Multi-Boolean Architectures

Ba-Hien Tran · Van Minh Nguyen

Hilbert: Recursively Building Formal Proofs with Informal Reasoning

Sumanth Varambally · Thomas Voice · Yanchao Sun · Zhifeng Chen · Rose Yu · Ke Ye

Hippoformer: Integrating Hippocampus-inspired Spatial Memory with Transformers

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

How Catastrophic is Your LLM? Certifying Risk in Conversation

Chengxiao Wang · Isha Chaudhary · Qian Hu · Weitong Ruan · Rahul Gupta · Gagandeep Singh

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

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

How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability

Shawn Im · Changdae Oh · Zhen Fang · Yixuan Li

How Reliable is Language Model Micro-Benchmarking?

Gregory Yauney · Shahzaib Warraich · Swabha Swayamdipta

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

Jianzhe Wei · Siyu Chen · Jianliang He · Zhuoran Yang

Human-LLM Collaborative Feature Engineering for Tabular Data

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

Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning

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

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

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

ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning

Yuxiang Guo · Jiang Liu · Ze Wang · Hao Chen · Ximeng Sun · Yang Zhao · Jialian Wu · Xiaodong Yu · Zicheng Liu · Emad Barsoum

Image Inpainting with Preference Alignment

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

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

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

Implicit Bias and Loss of Plasticity in Matrix Completion: Depth Promotes Low-Rankness

Baekrok Shin · Chulhee Yun

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

Alina Ene · Ta Duy Nguyen · Adrian Vladu

Improving Attributed Long-form Question Answering with Intent Awareness

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

Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies

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

Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization

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

Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards

Jiajun Fan · Roger Ren · Jingyuan Li · Rahul Pandey · Prashanth Gurunath Shivakumar · Yile Gu · Ankur Gandhe · Ge Liu · Ivan Bulyko

IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs

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

Inducing Dyslexia in Vision Language Models

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

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

Wendi Ren · Ke Wan · Junyu Leng · Shuang Li

InfoDet: A Dataset for Infographic Element Detection

Jiangning Zhu · Yuxing Zhou · Zheng Wang · Juntao Yao · Yima Gu · Yuhui Yuan · Shixia Liu

In Good GRACES: Principled Teacher Selection for Knowledge Distillation

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

InnovatorBench: Evaluating Agents’ Ability to Conduct Innovative AI Research

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

INSTANT: Compressing Gradients and Activations for Resource-Efficient Training

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

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

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

Intrinsic Entropy of Context Length Scaling in LLMs

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

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?

Qinyan Zhang · Xinping Lei · Ruijie Miao · FU YU · Haojie Fan · Le Chang · Jiafan Hou · Dingling Zhang · Zhongfei Hou · ZiqiangYang · puchangxin · FEI HU · Jingkai Liu · JIAHENG LIU · Tong Yang · Zaiyuan Wang · Ge Zhang · Xinjie Chen · Jianpeng Jiao · Wenhao Huang

Is it Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort

Xinpeng Wang · Nitish Joshi · Barbara Plank · Rico Angell · He He

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

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

Jackpot: Align Actor-Policy Distribution for scalable and stable RL for LLM

Zhuoming Chen · Hongyi Liu · Yang Zhou · Haizhong Zheng · Beidi Chen

JAPAN: Joint Adaptive Prediction Areas with Normalising Flow

Eshant English · Christoph Lippert

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

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

Joint Discriminative-Generative Modeling via Dual Adversarial Training

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

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

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

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

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

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

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

KDP: Simplifying Representation Dynamics in Kernel Space

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

KL-Regularized Reinforcement Learning is Designed to Mode Collapse

Anthony GX-Chen · Jatin Prakash · Jeff Guo · Rob Fergus · Rajesh Ranganath

Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine

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

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

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

KRAMABENCH: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes

Eugenie Lai · Gerardo Vitagliano · Ziyu Zhang · Om Chabra · SIVAPRASAD SUDHIR · Anna Zeng · Anton Zabreyko · Chenning Li · Ferdi Kossmann · Jialin Ding · Jun Chen · Markos Markakis · Matthew Russo · Weiyang Wang · Ziniu Wu · Mike Cafarella · Lei Cao · Samuel Madden · Tim Kraska

Label Smoothing Improves Machine Unlearning

Zonglin Di · Zhaowei Zhu · Jinghan Jia · Jiancheng Liu · Zafar Takhirov · Bo Jiang · Yuanshun Yao · Sijia Liu · Yang Liu

Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models

(Andrew) Zhanke Zhou · Zhaocheng Zhu · Xuan Li · Mikhail Galkin · Xiao Feng · Sanmi Koyejo · Jian Tang · Bo Han

LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel

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

Laplacian Multi-scale Flow Matching for Generative Modeling

Zelin Zhao · Petr Molodyk · Haotian Xue · Yongxin Chen

Large Language Model Compression with Global Rank and Sparsity Optimization

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

Latent Adaptation of Foundation Policies for Sim-to-Real Transfer

Longchao Da · T Kutralingam · Lirong Xiang · Hua Wei

Latent Denoising Makes Good Visual Tokenizers

Jiawei Yang · Tianhong Li · Lijie Fan · Yonglong Tian · Yue Wang

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

Hanzhu Chen · Lin Yang · Jie Wang · Junhao Yan · Zhe Wang · Xize Liang · Jianye HAO

LatentQA: Teaching LLMs to Decode Activations Into Natural Language

Alexander Pan · Lijie Chen · Jacob Steinhardt

Latent Stochastic Interpolants

Saurabh Singh · Dmitry Lagun

Latent Wasserstein Adversarial Imitation Learning

Siqi Yang · Kai Yan · Alex Schwing · Yu-Xiong Wang

Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus

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

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

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

LDT: Layer-Decomposition Training Makes Networks More Generalizable

Zaizuo Tang · Zongqi Yang · Yu-Bin Yang

Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights

Xingli Fang · Jung-Eun Kim

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

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

Learning Admissible Heuristics for A*: Theory and Practice

Ehsan Futuhi · Nathan Sturtevant

Learning AND–OR Templates for Compositional Representation in Art and Design

Liaoruxing Zhang · Xin Jin · Wenbo Yuan · ChenYu Fan · Song-Chun Zhu

Learning Brain Representation with Hierachical Visual Embeddings

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

Learning Deformable Body Interactions With Adaptive Spatial Tokenization

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

Learning Dynamic Causal Graphs Under Parametric Uncertainty via Polynomial Chaos Expansions

Liang Cao

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

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

Learning from Historical Activations in Graph Neural Networks

Yaniv Galron · Hadar Sinai · Haggai Maron · Moshe Eliasof

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

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

Learning Ising Models under Hard Constraints using One Sample

Rohan Chauhan · Ioannis Panageas

Learning Koopman Representations with Controllability Guarantees

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

Learning Massively Multitask World Models for Continuous Control

Nick Hansen · Hao Su · Xiaolong Wang

Learning Mixtures of Linear Dynamical Systems (MoLDS) via Hybrid Tensor–EM Method

Lulu Gong · Shreya Saxena

Learning Robust Intervention Representations with Delta Embeddings

Panagiotis Alimisis · Christos Diou

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

Wenrui Bao · Zhiben Chen · Dan Xu · Yuzhang Shang

Learning to summarize user information for personalized reinforcement learning from human feedback

HyunJi Nam · Yanming Wan · Mickel Liu · Peter Ahnn · Jianxun Lian · Natasha Jaques

Learning under Quantization for High-Dimensional Linear Regression

Dechen Zhang · Junwei Su · Difan Zou

Learning Unified Representation of 3D Gaussian Splatting

Yuelin Xin · Yuheng Liu · Xiaohui Xie · Xinke Li

LearnIR: Learnable Posterior Sampling for Real-World Image Restoration

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

Leveraging Explanation to Improve Generalization of Meta Reinforcement Learning

Shicheng Liu · Minghui Zhu

LEXam: Benchmarking Legal Reasoning on 340 Law Exams

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

LFQA-E: Carefully Benchmarking Long-form QA Evaluation

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

LightMem: Lightweight and Efficient Memory-Augmented Generation

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

Linear Mechanisms for Spatiotemporal Reasoning in Vision Language Models

Raphaela Kang · Hongqiao Chen · Georgia Gkioxari · Pietro Perona

LipNeXt: Scaling up Lipschitz-based Certified Robustness to Billion-parameter Models

Kai Hu · Haoqi Hu · Matt Fredrikson

Lipschitz Bandits with Stochastic Delayed Feedback

Zhongxuan Liu · Yue Kang · Thomas Lee

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

Amir Sadikov

LLMs Get Lost In Multi-Turn Conversation

Philippe Laban · Hiroaki Hayashi · Yingbo Zhou · Jennifer Neville

LLMs Process Lists With General Filter Heads

Arnab Sen Sharma · Giordano Rogers · Natalie Shapira · David Bau

LMask: Learn to Solve Constrained Routing Problems with Lazy Masking

Tianyou Li · Haijun Zou · JIAYUAN WU · Zaiwen Wen

Local Entropy Search over Descent Sequences for Bayesian Optimization

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

Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving

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

Log-Linear Attention

placeholder · Songlin Yang · Tarushii Goel · Eric P Xing · Tri Dao · Yoon Kim

Long Chain-of-Thought Reasoning Across Languages

Josh Barua · Seun Eisape · Kayo Yin · Alane Suhr

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

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

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

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

Lookup multivariate Kolmogorov-Arnold Networks

Sergey Pozdnyakov · Philippe Schwaller

LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts

Siyuan Wang · Gaokai Zhang · Li Lyna Zhang · Ning Shang · Fan Yang · Dongyao Chen · Mao Yang

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

Ahmadreza Jeddi · Marco Ciccone · Babak Taati

LoRA-S: An Efficient Low Rank Adaptation scheme via Sylvester equation

Jinyang ZHENG · Tong Wu

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

Xu Zhang · Peng Wang · Wei Wang

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

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

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

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

M4PQA: A Comprehensive QA Dataset for AI Research with Instance-Level Evaluation

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

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

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

ManipEvalAgent: Promptable and Efficient Evaluation Framework for Robotic Manipulation Policies

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

Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots

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

Mapping Overlaps in Benchmarks through Perplexity in the Wild

Siyang Wu · Honglin Bao · Sida Li · Ari Holtzman · James Evans

MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems

Kun Wang · Guibin Zhang · ManKit Ye · Xinyu Deng · Dongxia Wang · Xiaobin Hu · Jinyang Guo · Yang Liu · Yufei Guo

MaskCO: Masked Generation Drives Effective Representation Learning and Exploiting for Combinatorial Optimization

Lvda Chen · Yang Li · Junchi Yan

MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs

Yan Sun · Qixin ZHANG · Zhiyuan Yu · Xikun Zhang · Li Shen · Dacheng Tao

Matching without Group Barrier for Heterogeneous Treatment Effect Estimation

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

MCbiF: Measuring Topological Autocorrelation in Multiscale Clusterings via 2-Parameter Persistent Homology

Juni Schindler · Mauricio Barahona

MCP Security Bench (MSB): Benchmarking Attacks Against Model Context Protocol in LLM Agents

Dongsen Zhang · Zekun Li · Xu Luo · Xuannan Liu · Pei Li · Wenjun Xu

Measuring the Intrinsic Dimension of Earth Representations

Arjun Rao · Marc Rußwurm · Konstantin Klemmer · Esther Rolf

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

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

MemGen: Weaving Generative Latent Memory for Self-Evolving Agents

Guibin Zhang · Muxin Fu · Shuicheng YAN

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

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

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

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

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

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

MergeTune: Continued Fine-Tuning of Vision-Language Models

Wenqing Wang · Da Li · Xiatian Zhu · Josef Kittler

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

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

MIAM: Modality Imbalance-Aware Masking for Multimodal Ecological Applications

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

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

Bairan Xiang · Chenguang Zhao · Huan Yu

MIDAS: Multi-Image Dispersion and Semantic Reconstruction for Jailbreaking MLLMs

Yilian Liu · Yang Liu · Guoshun Nan · Jiuyang Lyu · Zhican Chen · Tao Guan · Shuyuan Luo · Zhongyi Zhai · Yang Liu

MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance

Narjes Nourzad · Carlee Joe-Wong

Mitigating Hallucination in Vision-Language Model with Depth and Spatial-aware Key-Value Refinement

Gusang Lee · Soohyun Kim · Donghoon Kim · Kyuhong Shim · Byonghyo Shim

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity

Yide Ran · Wentao Guo · Jingwei Sun · Yanzhou Pan · Xiaodong Yu · Hao Wang · Jianwen Xie · Yiran Chen · Denghui Zhang · Zhaozhuo Xu

Mitigating the Safety Alignment Tax with Null-Space Constrained Policy Optimization

Yifan Niu · Han Xiao · Dongyi Liu · Nuo Chen · Jia Li

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

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

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

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

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

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

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

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

MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs

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

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

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

Modal Aphasia: Can Unified Multimodal Models Describe Images From Memory?

Michael Aerni · Joshua Swanson · Kristina Nikolić · Florian Tramer

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs

Yan Scholten · Sophie Xhonneux · Leo Schwinn · Stephan Günnemann

Model-Guided Microstimulation Steers Primate Visual Behavior

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

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

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

MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation

Weinan Jia · Yuning Lu · Mengqi Huang · Hualiang Wang · Binyuan Huang · Nan Chen · weihao zhou · Jidong Jiang · Zhendong Mao

MoGen: Detailed Neuronal Morphology Generation via Point Cloud Flow Matching

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

MOLM: Mixture of LoRA Markers

Samar Fares · Nurbek Tastan · Noor Hussein · Karthik Nandakumar

MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile Manipulation

Chengshu Li · Mengdi Xu · Arpit Bahety · Hang Yin · Yunfan Jiang · Huang Huang · Josiah Wong · Sujay Garlanka · Cem Gokmen · Ruohan Zhang · Weiyu Liu · Jiajun Wu · Roberto Martín-Martín · Li Fei-Fei

Monocular Normal Estimation via Shading Sequence Estimation

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

MoSA: Mosaic Shared Adaptation of Large Language Models

Xiequn Wang · Zhan ZHUANG · Shengda Luo · Yu Zhang

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

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

MSCR: Exploring the Vulnerability of LLMs’ Mathematical Reasoning Abilities Using Multi-Source Candidate Replacement

Zhishen Sun · Guang Dai · Haishan Ye

Much Ado About Noising: Do Flow Models Actually Make Better Control Policies?

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

Multi-Agent Guided Policy Optimization

yueheng li · Guangming Xie · Zongqing Lu

Multi-LLM Adaptive Conformal Inference for Reliable LLM Response

Kangjun Noh · Seongchan Lee · Ilmun Kim · Kyungwoo Song

Multimodal Policy Internalization for Conversational Agents

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

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

Feiyang Chen · Ruiqiang Guo · Zhibin Gu

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

Zongjiang Shang · Dongliang Cui · Binqing Wu · Ling Chen

Multi-state Protein Design with DynamicMPNN

Alex Abrudan · Sebastian Pujalte Ojeda · Chaitanya Joshi · Matthew Greenig · Felipe Engelberger · Alena Khmelinskaia · Jens Meiler · Michele Vendruscolo · Tuomas Knowles

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models

Lujain Ibrahim · Canfer Akbulut · Rasmi Elasmar · Charvi Rastogi · Minsuk Kahng · Meredith Morris · Kevin McKee · Verena Rieser · Murray Shanahan · Laura Weidinger

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

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

Native Adaptive Solution Expansion for Diffusion-based Combinatorial Optimization

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

NC-Bench and NCfold: A Benchmark and Closed-Loop Framework for RNA Non-Canonical Base-Pair Prediction

Heqin Zhu · Ruifeng Li · Ao Chang · Mingqian Li · Hongyang Chen · Peng Xiong · S Kevin Zhou

Nearly Space-Optimal Graph and Hypergraph Sparsification in Insertion-Only Data Streams

Vincent Cohen-Addad · David Woodruff · Shenghao Xie · Samson Zhou

Nef-Net+: Adapting Electrocardio Panorama in the wild

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

NeoBERT: A Next Generation BERT

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

NeuralOS: Towards Simulating Operating Systems via Neural Generative Models

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

Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning

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

Neural+Symbolic Approaches for Interpretable Actor-Critic Reinforcement Learning

Yue Yang · Fan Yang · Yu Bai · Hao Wang

NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents

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

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

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

NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning

Huayu Chen · Kaiwen Zheng · Qinsheng Zhang · Ganqu Cui · Yin Cui · Haotian Ye · Tsung-Yi Lin · Ming-Yu Liu · Jun Zhu · Haoxiang Wang

Noise Tolerance of Distributionally Robust Learning

Ramzi Dakhmouche · Ivan Lunati · Hossein Gorji

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

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

Nonparametric Contextual Online Bilateral Trade

Emanuele Coccia · Martino Bernasconi · Andrea Celli

No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping

Thanh-Long V. Le · Myeongho Jeon · Kim Vu · Viet Lai · Eunho Yang

Null-Space Filtering for Data-free Continual Model Merging: Preserving Transparency, Promoting Fidelity

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

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

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

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

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

OmniNav: A Unified Framework for Prospective Exploration and Visual-Language Navigation

Xinda Xue · Junjun Hu · Minghua Luo · Shichao Xie · Jintao Chen · Zixun Xie · Quan Kuichen · Wei Guo · Mu Xu · Zedong Chu · Zhengzhou Zhu

OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models

Mengdi Jia · Zekun Qi · Shaochen Zhang · Wenyao Zhang · XinQiang Yu · Jiawei He · He Wang · Li Yi

OmniSTVG: Toward Spatio-Temporal Omni-Object Video Grounding

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

OmniText: A Training-Free Generalist for Controllable Text-Image Manipulation

Agus Gunawan · Samuel Teodoro · Yun Chen · Soo Ye Kim · Jihyong Oh · Munchurl Kim

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

Jinbang Huang · Yixin Xiao · Zhanguang Zhang · Mark Coates · Jianye HAO · Yingxue Zhang

One Model for All Tasks: Leveraging Efficient World Models in Multi-Task Planning

Yuan Pu · Yazhe Niu · Jia Tang · Junyu Xiong · Shuai Hu · Hongsheng Li

On learning linear dynamical systems in context with attention layers

Maria-Luiza Vladarean · Xuhui Zhang · Suvrit Sra

Online Alignment as Perceptual Loss

Sijia Liu · Niklas Muennighoff · Kawin Ethayarajh

Online Decision Making with Generative Action Sets

Jianyu Xu · Vidhi Jain · Bryan Wilder · Aarti Singh

Online Inventory Optimization in Non-Stationary Environment

Koji Ichikawa · Kei Takemura · Tatsuya Matsuoka

Online Prediction of Stochastic Sequences with High Probability Regret Bounds

Matthias Frey · Jonathan Manton · Jingge Zhu

On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting

Wenhao Zhang · Yuexiang Xie · Yuchang Sun · Yanxi Chen · Guoyin Wang · Yaliang Li · Bolin Ding · Jingren Zhou

On the Computational Limits of AI4S-RL : A Unified $\varepsilon$-$N$ Analysis

Qili Shen · Kairui Feng · Ang He · Xuanhong Chen · Dake Zhang

On the Generalization Capacities of MLLMs for Spatial Intelligence

Gongjie Zhang · Wenhao Li · Quanhao Qian · Jiuniu Wang · Deli Zhao · Shijian Lu · Ran Xu

On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Yongliang Wu · Yizhou Zhou · Ziheng Zhou · Yingzhe Peng · Xinyu Ye · Xinting Hu · Wenbo Zhu · Lu Qi · Ming-Hsuan Yang · xu yang

ON THE ROLE OF IMPLICIT REGULARIZATION OF STOCHASTIC GRADIENT DESCENT IN GROUP ROBUSTNESS

Nahal Mirzaie · Alireza Alipanah · Ali Abbasi · Amirmahdi Farzane · Hossein Jafarinia · Erfan Sobhaei · Mahdi Ghaznavi · Amir Najafi · Mahdieh Baghshah · Mohammad Hossein Rohban

Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving

Jianing Huang · Kaixuan Zhang · Youjia Wu · Ze Cheng

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

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

OPPO: Accelerating PPO-based RLHF via Pipeline Overlap

Kaizhuo Yan · YingJie Yu · Yifan Yu · Haizhong Zheng · Fan Lai

OptimalThinkingBench: Evaluating Over and Underthinking in LLMs

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

Optimizing Agent Planning for Security and Autonomy

Aashish Kolluri · Rishi Sharma · Manuel Costa · Boris Köpf · Tobias Nießen · Mark Russinovich · Shruti Tople · Santiago Zanella-Beguelin

ORCaS: Unsupervised Depth Completion via Occluded Region Completion as Supervision

Hyoungseob Park · Runjian Chen · Patrick Rim · Dong Lao · Alex Wong

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

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

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

Subrata Biswas · Mohammad Khan · Bashima Islam

P$^2$-DPO:Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization

ruipeng zhang · Zhihao Li · Haozhang Yuan · C.L.Philip Chen · Tong Zhang

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

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

PALC: Preference Alignment via Logit Calibration

Sanghyun Lee · Hoh In

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

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

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

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

PARD: Accelerating LLM Inference with Low‑Cost PARallel Draft Model Adaptation

Zihao An · Huajun Bai · Ziqiong Liu · Dong Li · Emad Barsoum

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

Zhengquan Zhang · Feng Xu · Mengmi Zhang

PepBenchmark: A Standardized Benchmark for Peptide Machine Learning

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

PerfGuard: A Performance-Aware Agent for Visual Content Generation

Zhipeng Chen · Chao Zhang · zhongrui zhang · Yifan Xu · LAN YANG · Jun Liu · Ke Li · Yi-Zhe Song

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

Zeming Chen · Angelika Romanou · Gail Weiss · Antoine Bosselut

Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method

Masoumeh Sharafi · Soufiane Belharbi · Muhammad Zeeshan · HOUSSEM Salem · Ali Etemad · Alessandro Lameiras Koerich · Marco Pedersoli · Simon L Bacon · Eric Granger

P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling

Pinyi Zhang · Ting-En Lin · Yuchuan Wu · Jingyang Chen · Zongqi Wang · Hua Yang · Bing Zhao · Fei Huang · Yongbin Li · Kai Zhang

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

Jahoon Jeong · Hyunsoo Yoon

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

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

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

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

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

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

Planning with an Embodied Learnable Memory

Priyam Parashar · Jacob Krantz · Matthew Chang · Kavit Shah · Xavier Puig · Roozbeh Mottaghi

PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm

Jing-Jing Li · Joel Mire · Eve Fleisig · Valentina Pyatkin · Anne Collins · Maarten Sap · Sydney Levine

PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints

Jiahao Huo · Shuliang Liu · Bin Wang · Junyan Zhang · Yibo Yan · Aiwei Liu · Xuming Hu · Mingxun Zhou

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

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

PoinnCARE: Hyperbolic Multi-Modal Learning for Enzyme Classification

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

Point Prompting: Counterfactual Tracking with Video Diffusion Models

Ayush Shrivastava · Sanyam Mehta · Daniel Geng · Andrew Owens

PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning

Shunpeng Yang · Ben Liu · Hua Chen

PonderLM: Pretraining Language Models to Ponder in Continuous Space

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

Precise and Interpretable Editing of Code Knowledge in Large Language Models

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

Predicting Kernel Regression Learning Curves from Only Raw Data Statistics

Dhruva Karkada · Joseph Turnbull · Yuxi Liu · James Simon

Predicting LLM Output Length via Entropy-Guided Representations

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

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

Shane Bergsma · Nolan Dey · Joel Hestness

Pretraining Scaling Laws for Generative Evaluations of Language Models

Rylan Schaeffer · Noam Levi · Brando Miranda · Sanmi Koyejo

Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling

Beomgu Kang · Hyunseok Seo

Prior-free Tabular Test-time Adaptation

Rundong He · Jieming Shi

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

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

PRISM: Partial-label Relational Inference with Spatial and Spectral Cues

Yiyang Gu · Wenrui Wu · Yifang Qin · Taian Guo · Tao Zhe · Jiaru Tang · Zhiping Xiao · Weizhi Zhang · Ziyue Qiao · Wei Ju · Dongjie Wang · Xiao Luo · Philip Yu · Ming Zhang

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding

Joseph Fioresi · Ishan Rajendrakumar Dave · Mubarak Shah

Privacy-Protected Causal Survival Analysis Under Distribution Shift

Yi Liu · Alexander Levis · Ke Zhu · Shu Yang · Peter Gilbert · Larry Han

Probabilistic Circuits for Uncertainty Quantification

Maternus Herold · Konstantin von Gaisberg

Probabilistic Kernel Function for Fast Angle Testing

Kejing Lu · Chuan Xiao · Yoshiharu Ishikawa

Probing in the Dark: State Entropy Maximization for POMDPs

Yonatan Ashlag · Mirco Mutti · Aviv Tamar · Kfir Y Levy

Procedural Mistake Detection via Action Effect Modeling

Wenliang Guo · Yujiang Pu · Yu Kong

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

Chi Yan · Dan Xu

Projected Coupled Diffusion for Test-Time Constrained Joint Generation

Hao Luan · Yi Xian Goh · See-Kiong Ng · Chun Kai Ling

Provable Separations between Memorization and Generalization in Diffusion Models

Zeqi Ye · Qijie Zhu · Molei Tao · Minshuo Chen

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

Marien Renaud · Julien Hermant · Deliang Wei · Yu Sun

Provably Explaining Neural Additive Models

Shahaf Bassan · Yizhak Elboher · Tobias Ladner · Volkan Şahin · Jan Kretinsky · Matthias Althoff · Guy Katz

Provably Tracking Equivalent Mechanistic Interpretations Across Neural Networks

Alan Sun · Mariya Toneva

Proximal Diffusion Neural Sampler

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

Proximal Supervised Fine-Tuning

Wenhong Zhu · Ruobing Xie · Rui Wang · Samm Sun · Di Wang · Pengfei Liu

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

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

PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models

Xuewen Liu · Zhikai Li · Jing Zhang · Mengjuan Chen · Jianquan Li · Qingyi Gu

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

Kyle Chickering · Bangzheng Li · Muhao Chen

Q-RAG: Long Context Multi‑Step Retrieval via Value‑Based Embedder Training

Artyom Sorokin · Nazar Buzun · Aleksandr Anokhin · Egor VEDERNIKOV · Petr Anokhin · Mikhail Burtsev · Evgeny Burnaev

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

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

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

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

Quantitative Bounds for Length Generalization in Transformers

Zachary Izzo · Eshaan Nichani · Jason Lee

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

Kun Li · Michael Yang · Sami Sebastian Brandt

Query-Specific Causal Graph Pruning Under Tiered Knowledge

Yizuo Chen · Jane Barker

QuoKA: Query-Oriented KV Selection for Efficient LLM Prefill

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

Radiometrically Consistent Gaussian Surfels for Inverse Rendering

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

Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs

BumJun Kim · Dongjae Jeon · Dueun Kim · Wonje Jeung · Albert No

Random Controlled Differential Equations

Francesco Piatti · Thomas Cass · William Turner

Random-projection ensemble dimension reduction

Wenxing Zhou · Timothy Cannings

RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty

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

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

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

RCPU: Rotation-Constrained Error Compensation for Structured Pruning of a Large Language Model

Shuichiro Haruta · Kazunori Matsumoto · Zhi Li · Yanan Wang · Mori Kurokawa

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

Yixiang Shan · Haipeng Liu · Ting Long · Yi Chang

Reading Images Like Texts: Sequential Image Understanding in Vision-Language Models

Yueyan Li · Chenggong Zhao · Zeyuan Zang · Caixia YUAN · Xiaojie Wang

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

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

REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Reasoning

Hexuan Deng · Wenxiang Jiao · Xuebo Liu · Jun Rao · Min Zhang

Reasoning-Aligned Perception Decoupling for Scalable Multi-modal Reasoning

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

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

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

Reasoning without Training: Your Base Model is Smarter Than You Think

Aayush Karan · Yilun Du

RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data

Zhengkang Guo · Wenhao Liu · Mingchen Xie · Jingwen Xu · Zisu Huang · Muzhao Tian · Jianhan Xu · Yuanzhe Shen · Qi Qian · Muling Wu · Xiaohua Wang · Heda Wang · Yao Hu · Changze Lv · Xuanjing Huang · Xiaoqing Zheng

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

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

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

Chenwei Wang · Zhaoke Huang · ZELIN LI · Wenqi Zhu

Reducing Contextual Stochastic Bilevel Optimization via Structured Function Approximation

Maxime Bouscary · Jiawei Zhang · Saurabh Amin

Reducing information dependency does not cause training data privacy. Adversarially non-robust features do.

Rasmus Torp · Shailen Smith · Adam Breuer

Reevaluating Policy Gradient Methods for Imperfect-Information Games

Max Rudolph · Nathan Lichtlé · Sobhan Mohammadpour · Alexandre M Bayen · Zico Kolter · Amy Zhang · Gabriele Farina · Eugene Vinitsky · Samuel Sokota

Regret-Guided Search Control for Efficient Learning in AlphaZero

Yun-Jui Tsai · Wei-Yu Chen · Yan-Ru Ju · Yu-Hung Chang · Ti-Rong Wu

Regulating Internal Evidence Flows for Robust Learning Under Spurious Correlations

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

Reliability-Adjusted Prioritized Experience Replay

Leonard S. Pleiss · Tobias Sutter · Maximilian Schiffer

Reliable Fine-Grained Evaluation of Natural Language Math Proofs

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

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization

Mingda Zhang · Mingli Zhu · Zihao Zhu · Li Shen · Baoyuan Wu

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

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

Remaining-data-free Machine Unlearning by Suppressing Sample Contribution

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

REMem: Reasoning with Episodic Memory in Language Agent

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

Representational Alignment Across Model Layers and Brain Regions with Hierarchical Optimal Transport

Shaan Shah · Meenakshi Khosla

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

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

Rethinking Expressivity and Degradation-Awareness in Attention for All-in-One Blind Image Restoration

Bin Ren · Runyi Yang · Qi Ma · Xu Zheng · Mengyuan Liu · Danda Pani Paudel · Luc Van Gool · Rita Cucchiara · Nicu Sebe

Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity

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

Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data?

Shaobo Wang · Cong Wang · Wenjie Fu · Yue Min · Mingquan Feng · Isabel Guan · Xuming Hu · Conghui He · Cunxiang Wang · Kexin Yang · Xingzhang Ren · Fei Huang · Dayiheng Liu · Linfeng Zhang

Rethinking LLM Reasoning: From Explicit Trajectories to Latent Representations

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

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

Sheng Cheng · Devika Subramanian

Rethinking Residual Errors in Compensation-based LLM Quantization

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

ReVeal: Self-Evolving Code Agents via Reliable Self-Verification

Yiyang Jin · Kunzhao Xu · Hang Li · Xueting Han · Yanmin Zhou · Cheng Li · Jing Bai

Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training

Jakub Krajewski · Amitis Shidani · Dan Busbridge · Jason Ramapuram · Sam Wiseman

Revisting Node Affinity Prediction In Temporal Graphs

Krishna Sri Ipsit Mantri · Or Feldman · Moshe Eliasof · Chaim Baskin

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

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

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

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

Riemannian High-Order Pooling for Brain Foundation Models

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

Riemannian Optimization on Relaxed Indicator Matrix Manifold

Jh Yuan · Xie Fangyuan · Feiping Nie · Xuelong Li

Riemannian Variational Flow Matching for Material and Protein Design

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

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

Shaocong Ma · Heng Huang

RM-R1: Reward Modeling as Reasoning

Xiusi Chen · Gaotang Li · Ziqi Wang · Bowen Jin · Cheng Qian · Yu Wang · Hongru WANG · Yu Zhang · Denghui Zhang · Tong Zhang · Hanghang Tong · Heng Ji

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

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

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

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

Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning

Charmaine Barker · Daniel Bethell · Simos Gerasimou

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

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

Robust LLM Unlearning via Post Judgment and Multi-round Thinking

Xinrui Chen · Xu Cao · Jianhao Zhang · Pinlong Zhao · Di Gao · Ou Wu

Robust Preference Alignment via Directional Neighborhood Consensus

Ruochen Mao · Yuling Shi · Xiaodong Gu · Jiaheng Wei

ROC-n-reroll: How verifier imperfection affects test-time scaling

Florian Eddie Dorner · Yatong Chen · André F. Cruz · Fanny Yang

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

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

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Anisha Gunjal · Anthony Wang · Elaine Lau · Vaskar Nath · Yunzhong He · Bing Liu · Sean Hendryx

S$^2$-Guidance: Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models

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

Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-Defense

Guobin Shen · Dongcheng Zhao · Haibo Tong · Jindong Li · Feifei Zhao · Yi Zeng

Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning

Yiwei Chen · Yuguang Yao · Yihua Zhang · Bingquan Shen · Gaowen Liu · Sijia Liu

Sample Lottery: Unsupervised Discovery of Critical Instances for LLM Reasoning

Jiaye Xie · Yusheng Zhao · Qixin ZHANG · Wanjia Zhao · Weizhi Zhang · Zhiping Xiao · Xiao Luo · Philip Yu · Ming Zhang

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

Xueyan Li · Guinan Su · Mrinmaya Sachan · Jonas Geiping

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

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

Scalable and Adaptive Trust-Region Learning via Projection Convex Hull

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

Scalable Chain of Thoughts via Elastic Reasoning

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

Scalable Offline Model-Based RL with Action Chunks

Kwanyoung Park · Seohong Park · Youngwoon Lee · Sergey Levine

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

Sawan Kumar · Souvik Chakraborty

Scalable Second-order Riemannian Optimization for $K$-means Clustering

Peng Xu · Chun Ying Hou · Xiaohui Chen · Richard Zhang

Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics

Nima Shoghi · Yuxuan Liu · Yuning Shen · Rob Brekelmans · Pan Li · Quanquan Gu

Scaling Generalist Data-Analytic Agents

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

Scaling Group Inference for Diverse and High-Quality Generation

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

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

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

Score-Based Density Estimation from Pairwise Comparisons

Petrus Mikkola · Luigi Acerbi · Arto Klami

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

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

SDErasure: Concept-Specific Trajectory Shifting for Concept Erasure via Adaptive Diffusion Classifier

Fengyuan Miao · Shancheng Fang · Lingyun Yu · Yadong Qu · Yuhao Sun · Xiaorui Wang · Hongtao Xie

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

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

SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding

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

Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models

Jiaying Wu · Fanxiao Li · Zihang Fu · Min-Yen Kan · Bryan Hooi

Seeing Through Words: Controlling Visual Retrieval Quality with Language

Jianglin Lu · Simon Jenni · Kushal Kafle · Jing Shi · Handong Zhao · Yun Fu

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

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

Selective Rotary Position Embedding

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

Self-Aligned Reward: Towards Effective and Efficient Reasoners

Peixuan Han · ADIT KRISHNAN · Gerald Friedland · Jiaxuan You · Luyang Kong

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

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

SELF-HARMONY: LEARNING TO HARMONIZE SELF-SUPERVISION AND SELF-PLAY IN TEST-TIME REINFORCEMENT LEARNING

Ru Wang · Wei Huang · Qi Cao · Yusuke Iwasawa · Yutaka Matsuo · Jiaxian Guo

Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning

Seungyul Han · Sanghyeon Lee · Sangjun Bae · Yisak Park

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

pragatheeswaran vipulanandan · Kamal Premaratne · Dilip Sarkar

Sequences of Logits Reveal the Low Rank Structure of Language Models

Noah Golowich · Allen Liu · Abhishek Shetty

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

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

SFT Doesn’t Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs

Jiacheng Lin · Zhongruo Wang · Kun Qian · Tian Wang · Arvind Srinivasan · Hansi Zeng · Ruochen Jiao · Xie Zhou · Jiri Gesi · Dakuo Wang · Yufan Guo · Kai Zhong · Weiqi Zhang · sujay sanghavi · Changyou Chen · Hyokun Yun · Lihong Li

SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration

Kaustubh Mani · Yann Pequignot · Vincent Mai · Liam Paull

Sheaves Reloaded: A Direction Awakening

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

Shrinking Proteins with Diffusion

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

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

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

SimpleGVR: A Simple Baseline for Latent-Cascaded Generative Video Super-Resolution

Liangbin Xie · Yu Li · Shian Du · Menghan Xia · Xintao WANG · Fanghua Yu · Ziyan Chen · Pengfei Wan · Jiantao Zhou · Chao Dong

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

Haozhan Li · Yuxin Zuo · Jiale Yu · Yuhao Zhang · Yang Zhaohui · Kaiyan Zhang · Xuekai Zhu · Yuchen Zhang · Tianxing Chen · Ganqu Cui · Dehui Wang · Dingxiang Luo · Yuchen Fan · Youbang Sun · Jia Zeng · Jiangmiao Pang · Shanghang Zhang · Yu Wang · Yao Mu · Bowen Zhou · Ning Ding

Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions

Yue Kang · Mingshuo Liu · Bongsoo Yi · Jing Lyu · Zhi Zhang · Doudou Zhou · Yao Li

SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback

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

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning

Patrik Reizinger · Bálint Mucsányi · Siyuan Guo · Benjamin Eysenbach · Bernhard Schölkopf · Wieland Brendel

SliderQuant: Accurate Post-Training Quantization for LLMs

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

SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks

Seungwon Jeong · Jiwoo Jeong · Hyeonjin Kim · Yunseok Lee · Woojin Lee

SNaX: sparse narrow accelerated mixture of experts

Wentao Guo · Mayank Mishra · Xinle Cheng · Ion Stoica · Tri Dao

SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests

Punya Syon Pandey · Lê Sơn · Devansh Bhardwaj · Zhijing Jin

Soft Quality-Diversity Optimization

Saeed Hedayatian · Stefanos Nikolaidis

Solving Parameter-Robust Avoid Problems with Unknown Feasibility using Reinforcement Learning

Oswin So · Eric Yu · Songyuan Zhang · Matthew Cleaveland · Mitchell Black · Chuchu Fan

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

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

SPACeR: Self-Play Anchoring with Centralized Reference Models

Wei-Jer Chang · Akshay Rangesh · Kevin Joseph · Matthew Strong · Masayoshi Tomizuka · yihan hu · Wei Zhan

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

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

Sparse Autoencoders Trained on the Same Data Learn Different Features

Gonçalo Paulo · Nora Belrose

SpatiaLab: Can Vision–Language Models Perform Spatial Reasoning in the Wild?

Azmine Toushik Wasi · Wahid Faisal · Abdur Rahman · Mahfuz Ahmed Anik · Munem Shahriar · Mohsin Topu · Sadia Tasnim Meem · Rahatun Priti · Sabrina Mitu · Iqramul Hoque · Shahriyar Ridoy · Mohammed Eunus Ali · Majd Hawasly · Mohammad Raza · Md Rizwan Parvez

Spectral Attention Steering for Prompt Highlighting

Waylon Li · Yuchen Niu · Yongxin Yang · Keshuang Li · Tiejun Ma · Shay B Cohen

Spectral Bellman Method: Unifying Representation and Exploration in RL

Ofir Nabati · Shie Mannor · Bo Dai · Guy Tennenholtz

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

Lorenzo Caselli · Marco Mistretta · Simone Magistri · Andrew Bagdanov

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

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

Spilled Energy in Large Language Models

Adrian Robert Minut · Hazem Dewidar · Iacopo Masi

Spotlight on Token Perception for Multimodal Reinforcement Learning

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

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

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

SSD-GS: Scattering and Shadow Decomposition for Relightable 3D Gaussian Splatting

Iris Zheng · Guojun Tang · Alexander Doronin · Paul Teal · Fang-Lue Zhang

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

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

Stability Under Scrutiny: Benchmarking Representation Paradigms for Online HD Mapping

Hao Shan · Ruikai Li · Han Jiang · Yizhe Fan · Ziyang Yan · Bohan Li · Xiaoshuai Hao · Hao Zhao · Zhiyong Cui · Yilong Ren · Haiyang Yu

Stable and Scalable Deep Predictive Coding Networks with Meta Prediction Errors

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

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

Cheng Jin · Qitan Shi · Yuantao Gu

Statistical Advantage of Softmax Attention: Insights from Single-Location Regression

O Duranthon · Pierre Marion · Claire Boyer · Bruno Loureiro · Lenka Zdeborová

STEDiff: Revealing the Spatial and Temporal Redundancy of Backdoor Attacks in Text-to-Image Diffusion Models

Yu Pan · Jiahao Chen · Lin Wang · Bingrong Dai · Wenjie Wang

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment

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

Steering and Rectifying Latent representation manifolds in Frozen Multi-modal LLMs for Video Anomaly Detection

Zhaolin Cai · Fan Li · Huiyu Duan · Lijun He · Guangtao Zhai

Steering Autoregressive Music Generation with Recursive Feature Machines

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

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

Keqing Du · Yufan Kang · Xinyu Yang · Wei Shao

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

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

STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer

Yushi LAN · Yihang Luo · Fangzhou Hong · Shangchen Zhou · Honghua Chen · Zhaoyang Lyu · Bo DAI · Shuai Yang · Chen Change Loy · Xingang Pan

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

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

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning

Seungyul Han · Jaebak Hwang · Sanghyeon Lee · Jeongmo Kim

Stroke3D: Lifting 2D strokes into rigged 3D model via latent diffusion models

Ruisi Zhao · Haoren Zheng · Zongxin Yang · Hehe Fan · Yi Yang

STRONGER TOGETHER: ON-POLICY REINFORCEMENT LEARNING FOR COLLABORATIVE LLMS

Yujie Zhao · Lanxiang Hu · Yang Wang · Minmin Hou · Hao Zhang · Ke Ding · Jishen Zhao

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

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

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

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

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

Ziqi Dai · Xin Zhang · Mingxin Li · yanzhao zhang · Dingkun Long · Pengjun Xie · Meishan Zhang · Wenjie Li · Min Zhang

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

Michael Eichelbeck · Tim Voigt · Matthias Althoff

Synergistic Benefits of Joint Molecule Generation and Property Prediction

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

Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders

Junqi Jiang · Francesco Leofante · Antonio Rago · Francesca Toni

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

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

Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning

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

Synthetic Bootstrapped Pretraining

Zitong Yang · Aonan Zhang · Hong Liu · Tatsunori Hashimoto · Emmanuel Candes · Chong Wang · Ruoming Pang

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

Maria-Teresa De Rosa Palmini · Eva Cetinic

Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts

Kartik Sharma · Yiqiao Jin · Vineeth Rakesh · Yingtong Dou · Menghai Pan · Mahashweta Das · Srijan Kumar

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

Minki Kang · Jongwon Jeong · Jaewoong Cho

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs

Eyal German · Sagiv Antebi · Daniel Samira · Asaf Shabtai · Yuval Elovici

TabStruct: Measuring Structural Fidelity of Tabular Data

Xiangjian Jiang · Nikola Simidjievski · Mateja Jamnik

Tackling Heavy-Tailed Q-Value Bias in Offline-to-Online Reinforcement Learning with Laplace-Robust Modeling

Ruibo Guo · Rui Yang · Lei Liu · Junjie Shen · Guoping Wu · Jie Wang · Bin Li

Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift

Zhiyuan Zhao · Haoxin Liu · B. Aditya Prakash

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

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

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

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

Taming Hierarchical Image Coding Optimization: A Spectral Regularization Perspective

Wuyang Cong · Junqi Shi · Ming Lu · Xu Zhang · Zhan Ma

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

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

TAO-Attack: Toward Advanced Optimization-Based Jailbreak Attacks for Large Language Models

Zhi Xu · Jiaqi Li · Xiaotong Zhang · Hong Yu · Han Liu

TAPTRv3: Spatial and Temporal Context Foster Robust Tracking of Any Point in Long Video

Jinyuan Qu · Hongyang Li · Shilong Liu · Tianhe Ren · Zhaoyang Zeng · Lei Zhang

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

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

Task-Agnostic Amortized Multi-Objective Optimization

Xinyu Zhang · Conor Hassan · Julien Martinelli · Daolang Huang · Samuel Kaski

Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability

Usha Bhalla · Alex Oesterling · Claudio Mayrink Verdun · Hima Lakkaraju · Flavio Calmon

Temporal Test-Time Adaptation with State-Space Models

Mona Schirmer · Dan Zhang · Eric Nalisnick

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

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

Test-Time Alignment for Large Language Models via Textual Model Predictive Control

Kuang-Da Wang · Teng-Ruei Chen · Yu Heng Hung · Guo-Xun Ko · Shuoyang Ding · Yueh-Hua Wu · Yu-Chiang Frank Wang · Chao-Han Huck Yang · Wen-Chih Peng · Ping-Chun Hsieh

Test-time Domain Generalization for Image Super-resolution

Zaizuo Tang · Yu-Bin Yang

Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting

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

Test-Time Training Done Right

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

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

Shivank Garg · Sankalp Mittal · Manish Gupta

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

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

The Counting Power of Transformers

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

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

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

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

Anna Rogers

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

Chenglei Si · Tatsunori Hashimoto · Diyi Yang

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

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

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

Blake Bordelon · Mary Letey · Cengiz Pehlevan

The Overthinking Predicament: When Reasoning Hurts Ranking

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

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

Natalie Abreu · Nikhil Vyas · Sham Kakade · Depen Morwani

The Price of Amortized inference in Sparse Autoencoders

Wenjie Sun · Di Wang · Lijie Hu

The Serial Scaling Hypothesis

Yuxi Liu · Konpat Preechakul · Kananart Kuwaranancharoen · Yutong Bai

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

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

Think Then Embed: Generative Context Improves Multimodal Embedding

Xuanming Cui · Jianpeng Cheng · Hong-You Chen · Satya Narayan Shukla · Abhijeet Awasthi · Xichen Pan · Chaitanya Ahuja · Shlok Mishra · Taipeng Tian · Qi Guo · Ser-Nam Lim · Aashu Singh · Xiangjun Fan

Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders

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

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

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

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

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

Time Optimal Execution of Action Chunk Policies Beyond Demonstration Speed

Sunwoo Kim · Jeongjun Kim · Joseph Lim

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

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

TimeSeriesExamAgent: Creating TimeSeries Reasoning Benchmarks at Scale

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

TIMESLIVER : SYMBOLIC-LINEAR DECOMPOSITION FOR EXPLAINABLE TIME SERIES CLASSIFICATION

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

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

Yubo Li · Ramayya Krishnan · Rema Padman

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

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

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

Zhihao Ding · Jieming Shi · Jinming Li · Shuai Mu

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

Yifan Zhu · 慧强荣 · Haoran Luo

Token-Importance Guided Direct Preference Optimization

Ning Yang · Hai Lin · Yibo Liu · Baoliang Tian · Guoqing Liu · Haijun Zhang

Tokenizing Single-Channel EEG with Time-Frequency Motif Learning

Jathurshan Pradeepkumar · Xihao Piao · Zheng Chen · Jimeng Sun

TokMem: Tokenized Procedural Memory for Large Language Models

Zijun Wu · Yongchang Hao · Lili Mou

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

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

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

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

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

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

Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders

Guangzhi Xiong · Zhenghao He · Bohan Liu · Sanchit Sinha · Aidong Zhang

Towards All-Atom Foundation Models for Biomolecular Binding Affinity Prediction

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

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

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

Towards Dynamic Interleaving Optimizers

Yile Chen · Zeyi Wen · Jian Chen · Jin Huang

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

Wenbo Gong · Meyer Scetbon · Chao Ma · Edward Meeds

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

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

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

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

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

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

Towards Prompt-Robust Machine-Generated Text Detection

Hongyi Zhou · Jin Zhu · Erhan Xu · Kai Ye · Ying Yang · Chengchun Shi

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

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

Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection

Tobias Riedlinger · Kira Maag · Hanno Gottschalk

Towards True Speech-to-Speech Models Without Text Guidance

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

Towards Understanding Valuable Preference Data for Large Language Model Alignment

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

Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Method

Haochen Wang · Xiangtai Li · Zilong Huang · Anran Wang · Jiacong Wang · Tao Zhang · Jiani zheng · Sule Bai · Zijian Kang · Jiashi Feng · Zhuochen Wang · Zhaoxiang Zhang

Trade-offs in LLM Compute for Reasoning-Intensive Information Retrieval

Sreeja Apparaju · Nilesh Gupta

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

Ayush Jain · Andrea Montanari · Eren Sasoglu

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

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

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

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

Translating Flow to Policy via Hindsight Online Imitation

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

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

BINBINLIU · Wenhan Han · Feng Chen · Yifan Zhang · Ping Guo · Haobin Lin · Bingni Zhang · Taifeng Wang · Yin Zheng

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

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

True Self-Supervised Novel View Synthesis is Transferable

Thomas MItchel · Hyunwoo Ryu · Vincent Sitzmann

Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction

Tianyi Qiu · Micah Carroll · Cameron Allen

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

Yaoqi Liu · Jin Wang · HUI WANG · Chuan Shi

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

Gerrit Quaremba · Denny Vrandečić · Elizabeth Black · Elena Simperl

TTS Can Speak in Any Style with Any Voice

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

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

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

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

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

Type-Compliant Adaptation Cascades

Chu-Cheng Lin · Daiyi Peng · Yifeng Lu · Ming Zhang · Eugene Ie

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

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

UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers

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

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

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

UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

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

Uncertainty-Aware 3D Reconstruction for Dynamic Underwater Scenes

Rui Liu · Zhibo Duan · Jianzhe Gao · Yi Yang · Wenguan Wang

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

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

Understanding and Fixing Bottlenecks in State Space Models: What Recency and Over-Smoothing Tell Us

Adrita Das · Dantong Zhu

Understanding and Improving Hyperbolic Deep Reinforcement Learning

Timo Klein · Thomas Lang · Andrii Shkabrii · Alexander Sturm · Kevin Sidak · Lukas Miklautz · Claudia Plant · Yllka Velaj · Sebastian Tschiatschek

Understanding and Relaxing the Limitations of Transformers for Linear Algebra

Andres Potapczynski · Alex Ali · Andrew Gordon Wilson

Understanding Collaboration Mechanism In VAE Recommender Systems

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

Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations

Yuxin Dong · Jiachen Jiang · Zhihui Zhu · Xia Ning

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

Xuanyu Chen · Nan Yang · Shuai Wang · Dong Yuan

Unified Biomolecular Trajectory Generation via Pretrained Variational Bridge

Ziyang Yu · Wenbing Huang · Yang Liu

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

Prerit Gupta · Shourya Verma · Ananth Grama · Aniket Bera

Unified Vision-Language-Action Model

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

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

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

Uniform Discrete Diffusion with Metric Path for Video Generation

Haoge Deng · Ting Pan · Fan Zhang · Yang Liu · Zhuoyan Luo · Yufeng Cui · Wenxuan Wang · Chunhua Shen · Shiguang Shan · Zhaoxiang Zhang · Xinlong Wang

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

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

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

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

Unleashing Perception-Time Scaling to Multimodal Reasoning Models

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

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

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

Unlocking Long-Horizon Agentic Search with Large-Scale End-to-End RL

Jiaxuan Gao · Wei Fu · Minyang Xie · Shusheng Xu · Chuyi He · Zhiyu Mei · Banghua Zhu · Yi Wu

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

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

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

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

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

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

Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection

Yao Xiao · Weiyan Chen · Jiahao Chen · Zijie Cao · Weijian Deng · Binbin Yang · ZiYi Dong · Xiangyang Ji · Wei Ke · Pengxu Wei · Liang Lin

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

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

Unveiling the Potential of Diffusion Large Language Model in Controllable Generation

Zhen Xiong · Yujun Cai · Zhecheng Li · Yiwei Wang

Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling

Tianyu Xie · Shuchen Xue · Zijin Feng · Tianyang Hu · Jiacheng Sun · Zhenguo Li · Cheng Zhang

vCache: Verified Semantic Prompt Caching

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

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

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

VeriEquivBench: An Equivalence Score for Ground-Truth-Free Evaluation of Formally Verifiable Code

Lingfei Zeng · Fengdi Che · Xuhan Huang · Fei Ye · Xu Xu · Binhang Yuan · Jie Fu

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

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

Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning

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

Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

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

Video-GPT via Next Clip Diffusion

Shaobin Zhuang · Zhipeng Huang · Ying Zhang · Fangyikang Wang · Canmiao Fu · Binxin Yang · Chong Sun · Chen Li · Yali Wang

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

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

Video-LevelGauge: Investigating Contextual Positional Bias in Video Language Models.

Hou Xia · Zheren Fu · Fangcan Ling · Jiajun Li · Yi Tu · Zhendong Mao · Yongdong Zhang

VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Video

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

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

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

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

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

VisCoder2: Building Multi-Language Visualization Coding Agents

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

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

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

Vision Language Models are Biased

DAEYOUNG KIM · Khai-Nguyen Nguyen · Mohammad Reza Taesiri · Vy Dang · Anh Nguyen · Daeyoung Kim

Visualizing LLM Latent Space Geometry Through Dimensionality Reduction

Alex Ning · Vainateya Rangaraju · Yen-Ling Kuo

Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow

Xinlei Yu · Chengming Xu · Guibin Zhang · Yongbo He · Zhangquan Chen · Zhucun Xue · Jiangning Zhang · Yue Liao · Xiaobin Hu · Yu-Gang Jiang · Shuicheng YAN

VisualPRM400K: An Effective Dataset for Training Multimodal Process Reward Models

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

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

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

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

Minkyu Kim · Sangheon Lee · Dongmin Park

VQ-Transplant: Efficient VQ-Module Integration for Pre-trained Visual Tokenizers

Xianghong Fang · Yuan Yuan · Dehan Kong · Tim G. J. Rudner

Vulcan: Crafting Compact Class-Specific Vision Transformers For Edge Intelligence

Ziteng Wei · Qiang He · Feifei Chen · Ranjie Duan · Xiaodan Li · Bin Li · YueFeng Chen · Hui Xue' · Hai Jin · Yun Yang

WARC-Bench: Web Archive based Benchmark for GUI Subtask Executions

Sanjari Srivastava · Gang Li · Cheng Chang · Rishu Garg · Manpreet Kaur · Charlene Lee · Yuezhang Li · Yining Mao · Juan Ignacio Cases Martin · Yanan Xie · Peng Qi

WaterDrum: Watermark-based Data-centric Unlearning Metric

Xinyang Lu · Xinyuan Niu · Gregory Kang Ruey Lau · Nhung Bui · Rachael Hwee Ling Sim · John Russell Himawan · Fanyu Wen · Chuan Sheng Foo · See-Kiong Ng · Bryan Kian Hsiang Low

Watermarking Diffusion Language Models

Thibaud Gloaguen · Robin Staab · Nikola Jovanović · Martin Vechev

WebArbiter: A Generative Reasoning Process Reward Model for Web Agents

Yao Zhang · Shijie Tang · Zeyu Li · Zhen Han · Volker Tresp

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

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

Weight-Space Linear Recurrent Neural Networks

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

WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction

Shaobin Zhuang · Yiwei Guo · Fangyikang Wang · Canmiao Fu · Zhipeng Huang · Zeyue Tian · Xiaohui Li · Ying Zhang · Chen Li · Yali Wang

What Lies Beyond the View? Actively Constructing Spatial Beliefs in Foundation Models

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

What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data

Rajiv Movva · Smitha Milli · Sewon Min · Emma Pierson

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

Xiaokun Zhu · Louis Carpentier · Mathias Verbeke

When Machine Learning Gets Personal: Evaluating Prediction and Explanation

Louisa Cornelis · Guillermo Bernardez · Haewon Jeong · Nina Miolane

When Thinking Backfires: Mechanistic Insights into Reason-induced Misalignment

Hanqi Yan · Hainiu Xu · Siya Qi · Shu Yang · Yulan He

Where Did It Go Wrong? Attributing Undesirable LLM Behaviors via Representation Gradient Tracing

Zhe Li · Wei Zhao · Yige Li · Jun Sun

Who Matters Matters: Agent-Specific Conservative Offline MARL

Haosheng Chen · Yun Hua · Wenhao Li · Shiqin Wang · Xiangfeng Wang

World2Minecraft: Occupancy-Driven simulated scenes Construction

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

xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity

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

XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning

Daniel Palenicek · Florian Vogt · Joe Watson · Ingmar Posner · Jan Peters

You Point, I Learn: Online Adaptation of Interactive Segmentation Models for Handling Distribution Shifts in Medical Imaging

Wentian Xu · Ziyun Liang · Harry Anthony · Yasin Ibrahim · Felix Cohen · Guang Yang · Konstantinos Kamnitsas

Zephyrus: An Agentic Framework for Weather Science

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

Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics

Maksim Bobrin · Ilya Zisman · Alexander Nikulin · Vladislav Kurenkov · Dmitry Dylov

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Oral

Oral Session 2A

3:15 PM - 4:45 PM

7 Events in this session

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

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

EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning

Dingdong WANG · Shujie LIU · Tianhua Zhang · Youjun Chen · Jinyu Li · Helen Meng

Token-Importance Guided Direct Preference Optimization

Ning Yang · Hai Lin · Yibo Liu · Baoliang Tian · Guoqing Liu · Haijun Zhang

P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling

Pinyi Zhang · Ting-En Lin · Yuchuan Wu · Jingyang Chen · Zongqi Wang · Hua Yang · Bing Zhao · Fei Huang · Yongbin Li · Kai Zhang

Reasoning without Training: Your Base Model is Smarter Than You Think

Aayush Karan · Yilun Du

LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts

Siyuan Wang · Gaokai Zhang · Li Lyna Zhang · Ning Shang · Fan Yang · Dongyao Chen · Mao Yang

Q-RAG: Long Context Multi‑Step Retrieval via Value‑Based Embedder Training

Artyom Sorokin · Nazar Buzun · Aleksandr Anokhin · Egor VEDERNIKOV · Petr Anokhin · Mikhail Burtsev · Evgeny Burnaev

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Oral

Oral Session 2B

3:15 PM - 4:45 PM

7 Events in this session

High-dimensional Analysis of Synthetic Data Selection

Parham Rezaei · Filip Kovačević · Francesco Locatello · Marco Mondelli

How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability

Shawn Im · Changdae Oh · Zhen Fang · Yixuan Li

Sequences of Logits Reveal the Low Rank Structure of Language Models

Noah Golowich · Allen Liu · Abhishek Shetty

Intrinsic Entropy of Context Length Scaling in LLMs

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

From Markov to Laplace: How Mamba In-Context Learns Markov Chains

Marco Bondaschi · Ashok Makkuva · Nived Rajaraman · Xiuying Wei · Razvan Pascanu · Caglar Gulcehre · Michael Gastpar

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

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

Quantitative Bounds for Length Generalization in Transformers

Zachary Izzo · Eshaan Nichani · Jason Lee

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Oral

Oral Session 2C

3:15 PM - 4:45 PM

7 Events in this session

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

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

Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning

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

On the Generalization Capacities of MLLMs for Spatial Intelligence

Gongjie Zhang · Wenhao Li · Quanhao Qian · Jiuniu Wang · Deli Zhao · Shijian Lu · Ran Xu

DepthLM: Metric Depth from Vision Language Models

zhipeng cai · Ching-Feng Yeh · Hu Xu · Zhuang Liu · Gregory P. Meyer · Xinjie Lei · Changsheng Zhao · Shang-Wen Li · Vikas Chandra · Yangyang Shi

FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging

Ziyang Fan · Yulin Li · Ruilong Xing · Keyu Chen · Li Jiang · Zhuotao Tian

Multimodal Aligned Semantic Knowledge for Unpaired Image-text Matching

Laiguo Yin · Yixin Zhang · YUQING SUN · Lizhen Cui

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

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

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Oral

Oral Session 2D

3:15 PM - 4:45 PM

7 Events in this session

Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts

Zhaomin Wu · Mingzhe Du · See-Kiong Ng · Bingsheng He

Is it Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort

Xinpeng Wang · Nitish Joshi · Barbara Plank · Rico Angell · He He

LLMs Get Lost In Multi-Turn Conversation

Philippe Laban · Hiroaki Hayashi · Yingbo Zhou · Jennifer Neville

How Reliable is Language Model Micro-Benchmarking?

Gregory Yauney · Shahzaib Warraich · Swabha Swayamdipta

AdAEM: An Adaptively and Automated Extensible Evaluation Method of LLMs' Value Difference

Jing Yao · Shitong Duan · Xiaoyuan Yi · Dongkuan Xu · Peng Zhang · Tun Lu · Ning Gu · Zhicheng Dou · Xing Xie

What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data

Rajiv Movva · Smitha Milli · Sewon Min · Emma Pierson

EigenBench: A Comparative Behavioral Measure of Value Alignment

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

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Oral

Oral Session 2E

3:15 PM - 4:45 PM

7 Events in this session

Generative Human Geometry Distribution

Xiangjun Tang · Biao Zhang · Peter Wonka

Depth Anything 3: Recovering the Visual Space from Any Views

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

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

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

Monocular Normal Estimation via Shading Sequence Estimation

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

Radiometrically Consistent Gaussian Surfels for Inverse Rendering

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

True Self-Supervised Novel View Synthesis is Transferable

Thomas MItchel · Hyunwoo Ryu · Vincent Sitzmann

cadrille: Multi-modal CAD Reconstruction with Reinforcement Learning

Maksim Kolodiazhnyi · Denis Tarasov · Dmitrii Zhemchuzhnikov · Alexander Nikulin · Ilya Zisman · Anna Vorontsova · Anton Konushin · Vladislav Kurenkov · Danila Rukhovich

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Oral

Oral Session 2F

3:15 PM - 4:45 PM

7 Events in this session

Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning

Haoyue Dai · Immanuel Albrecht · Peter Spirtes · Kun Zhang

Probabilistic Kernel Function for Fast Angle Testing

Kejing Lu · Chuan Xiao · Yoshiharu Ishikawa

Differentially Private Domain Discovery

Vinod Raman · Travis Dick · Matthew Joseph

Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks

Songyao Jin · Biwei Huang

Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability

Usha Bhalla · Alex Oesterling · Claudio Mayrink Verdun · Hima Lakkaraju · Flavio Calmon

A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization

Hideaki Kim · Tomoharu Iwata

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

Nam Nguyen · Thinh Nguyen · Bella Bose

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Poster

Poster Session 2

3:15 PM - 5:45 PM

914 Events in this session

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

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

$\boldsymbol{\partial^\infty}$-Grid: Differentiable Grid Representations for Fast and Accurate Solutions to Differential Equations

Navami Kairanda · Shanthika Naik · Marc Habermann · Avinash Sharma · Christian Theobalt · Vladislav Golyanik

$\mathbf{T^3}$: Reducing Belief Deviation in Reinforcement Learning for Active Reasoning

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

$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers

Benjamin Thérien · Charles-Étienne Joseph · Boris Knyazev · Edouard Oyallon · Irina Rish · Eugene Belilovsky

$\textbf{Re}^{2}$: Unlocking LLM Reasoning via Reinforcement Learning with Re-solving

Pinzheng Wang · Shuli Xu · Juntao Li · Yu Luo · Dong Li · Jianye HAO · Min Zhang

Accelerated Learning with Linear Temporal Logic using Differentiable Simulation

Alper Kamil Bozkurt · Calin Belta · Ming Lin

Accelerated Parallel Tempering via Neural Transports

Leo Zhang · Peter Potaptchik · Jiajun He · Yuanqi Du · Arnaud Doucet · Francisco Vargas · Hai-Dang Dau · Saifuddin Syed

Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation

Xintong Duan · Yutong (Kelly) He · Fahim Tajwar · Russ Salakhutdinov · Zico Kolter · Jeff Schneider

Achieving Expert-Level Agent from Foundation Model via Complexity Curriculum Reinforcement Learning with Synthetic Data

Haiteng Zhao · Junhao Shen · Yiming Zhang · Songyang Gao · Kuikun Liu · Tianyou Ma · Fan Zheng · Dahua Lin · Wenwei Zhang · Kai Chen

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

Lixin Xiu · Xufang Luo · Hideki Nakayama

ACPBench Hard: Unrestrained Reasoning about Action, Change, and Planning

Harsha Kokel · Michael Katz · Kavitha Srinivas · Shirin Sohrabi

AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm

Minsang Park · Gyuwon Sim · Hyungho Na · Jiseok Kwak · Sumin Lee · Richard Kim · Donghyeok Shin · Byeonghu Na · Yeongmin Kim · Il-chul Moon

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

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

Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols

Mikhail Terekhov · Alexander Panfilov · Daniil Dzenhaliou · Caglar Gulcehre · Maksym Andriushchenko · Ameya Prabhu · Jonas Geiping

AdaRank: Adaptive Rank Pruning for Enhanced Model Merging

Chanhyuk Lee · Jiho Choi · Chanryeol Lee · Donggyun Kim · Seunghoon Hong

Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials

Shi Yin · Zujian Dai · Xinyang Pan · Lixin He

A Formal Controllability Toolkit for Black-Box Generative Models

Emily Cheng · Carmen Amo Alonso · Federico Danieli · Arno Blaas · Luca Zappella · Pau Rodriguez · Xavier Suau

AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents

Jingxu Xie · Dylan Xu · Xuandong Zhao · Dawn Song

Agnostics: Learning to Synthesize Code in Any Programming Language with a Universal Reinforcement Learning Environment

Aleksander Boruch-Gruszecki · Yangtian Zi · Zixuan Wu · Tejas Oberoi · Carolyn Anderson · Joydeep Biswas · Arjun Guha

A Hierarchical Circuit Symbolic Discovery Framework for Efficient Logic Optimization

Yinqi Bai · Jie Wang · Tong Xialiang · Longdi Pan · Jilai Pan · Mingxuan Yuan · Jianye HAO

AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models

Apurba Prasad Padhy · Fernando Camacho · Saibal Mukhopadhyay

Aligner, Diagnose Thyself: A Meta-Learning Paradigm for Fusing Intrinsic Feedback in Preference Alignment

Mengyang Li · Pinlong Zhao · Zhong Zhang

Aligning Deep Implicit Preferences by Learning to Reason Defensively

Peiming Li · Zhiyuan Hu · Yang Tang · Shiyu Li · Xi Chen

Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models

Bowei Chen · Sai Bi · Hao Tan · HE Zhang · Tianyuan Zhang · Zhengqi Li · Yuanjun Xiong · Jianming Zhang · Kai Zhang

AlignSep: Temporally-Aligned Video-Queried Sound Separation with Flow Matching

Xize Cheng · Chenyuhao Wen · Slytherin Wang · Yongqi Wang · zehan wang · Rongjie Huang · Tao Jin · Zhou Zhao

Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics

Aniketh Iyengar · Jiaqi Han · Pengwei Sun · Mingjian Jiang · Jianwen Xie · Stefano Ermon

AlphaBench: Benchmarking Large Language Models in Formulaic Alpha Factor Mining

Haochen Luo · HoTin Ko · Jiandong Chen · David Sun · Yuan Zhang · Chen Liu

AlphaFlow: Understanding and Improving MeanFlow Models

Huijie Zhang · Aliaksandr Siarohin · Willi Menapace · Michael Vasilkovsky · Sergey Tulyakov · Qing Qu · Ivan Skorokhodov

A Memory-Efficient Hierarchical Algorithm for Large-scale Optimal Transport Problems

Wenzhou Xia · Ya-Nan Zhu · Jingwei Liang · Xiaoqun Zhang

AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation

Tongfei Chen · Shuo Yang · Yuguang Yang · Linlin Yang · Runtang Guo · Changbai Li · He Long · Chunyu Xie · Dawei Leng · Baochang Zhang

An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems

Ni Zhang · Zhiguang Cao · Jianan Zhou · Cong Zhang · Yew-Soon Ong

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

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

A Near-Optimal Best-of-Both-Worlds Algorithm for Federated Bandits

Zicheng Hu · Zihao Wang · Cheng Chen

AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs

Xiang Feng · Wentao Jiang · Zengmao Wang · Yong Luo · Pingbo Xu · Baosheng Yu · Hua Jin · Jing Zhang

A New Approach to Controlling Linear Dynamical Systems

Anand Brahmbhatt · Gon Buzaglo · Sofiia Druchyna · Elad Hazan

Annotation-Efficient Honesty Alignment via Confidence Elicitation and Calibration

Shiyu Ni · Keping Bi · Jiafeng Guo · Minghao Tang · Jingtong wu · Zengxin Han · Xueqi Cheng

A Noise is Worth Diffusion Guidance

Donghoon Ahn · Jiwon Kang · Sanghyun Lee · Jaewon Min · Minjae Kim · Wooseok Jang · Hyoungwon Cho · Sayak Paul · SeonHwa Kim · Eunju Cha · Kyong Jin · Seungryong Kim

An Open-Ended Benchmark and Formal Framework for Adjuvant Research with MLLM

Yi Chen · Yu Zhang · Jian Xu · Hua Yue · Xinming Wang · Zequan Lyu · Xu-yao Zhang · Wei Wei · Cheng-lin Liu

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

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

A Physics-Inspired Optimizer: Velocity Regularized Adam

Pranav Vaidhyanathan · Lucas Schorling · Natalia Ares · Michael Osborne

APT: Towards Universal Scene Graph Generation via Plug-in Adaptive Prompt Tuning

Ruikun Luo · Changwei Gu · Jing Yang · Yuan Gao · Jieming Yang · Song Wu · Hai Jin · Xiaoyu Xia

AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions

Jihyoung Jang · Hyounghun Kim

Architecture-Agnostic Test-Time Adaptation via Backprop-Free Embedding Alignment

MA Xiao · Young D. Kwon · Pan Zhou · Dong Ma

Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate Modeling

Kun Liu · Renjun Jia · Ruifeng Yang · Xirui Zeng · Yuqi Liang · Cen Chen

A Resolution-Agnostic Geometric Transformer for Chromosome Modeling Using Inertial Frame

Yize Zhou · Haorui Li · Shengchao Liu

ArtUV: Artist-style UV Unwrapping

yuguang chen · Xinhai Liu · YANG LI · Victor Cheung · Zhuo Chen · Dongyu Zhang · Chunchao Guo

A Statistical Benchmark for Diffusion Posterior Sampling Algorithms

Martin Zach · Youssef Haouchat · Michael Unser

ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting

Xvyuan Liu · Xiangfei Qiu · Hanyin Cheng · Xingjian Wu · Guo · Bin Yang · Jilin Hu

Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning

Jiashun Liu · Johan S Obando Ceron · Han Lu · Yancheng He · Weixun Wang · wenbo su · Bo Zheng · Pablo Samuel Castro · Aaron Courville · Ling Pan

Asymptotic analysis of shallow and deep forgetting in replay with neural collapse

Giulia Lanzillotta · Damiano Meier · Thomas Hofmann

ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics

Luke Thompson · Davy Guan · Slade Matthews · Dai Shi · Junbin Gao · Andi Han

Attention Smoothing Is All You Need For Unlearning

Saleh Zare Zade · Xiangyu Zhou · Sijia Liu · Dongxiao Zhu

Attribution-Guided Decoding

Piotr Komorowski · Elena Golimblevskaia · Reduan Achtibat · Thomas Wiegand · Sebastian Lapuschkin · Wojciech Samek

Augmented Radiance Field: A General Framework for Enhanced Gaussian Splatting

Yixin Yang · Bojian Wu · Yang Zhou · Hui Huang

AutoDV: An End-to-End Deep Learning Model for High-Dimensional Data Visualization

Wei Dai · Jicong Fan

AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning

Bowen Ping · Minnan Luo · Zhuohang Dang · Chenxi Wang · Chengyou Jia

Automatic Dialectic Jailbreak: A Framework for Generating Effective Jailbreak Strategies

Jianghai Yu · Yang Zhou · Zihan Zhou · Lingjuan Lyu · Da Yan · Ruoming Jin · Dejing Dou

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

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

Autoregressive Image Generation with Randomized Parallel Decoding

Haopeng Li · Jinyue Yang · Guoqi Li · Huan Wang

Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models

Zekun Wang · Anant Gupta · Zihan Dong · Christopher MacLellan

BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural Change

Manuela González-González · Soufiane Belharbi · Muhammad Zeeshan · Masoumeh Sharafi · Muhammad Haseeb Aslam · Marco Pedersoli · Alessandro Lameiras Koerich · Simon L Bacon · Eric Granger

Bayesian Ensemble for Sequential Decision-Making

Rui Liu · Enmin Zhao · Lu Wang · Yu Li · Ming Pang · Changping Peng · Zhangang Lin · Ching Law · Jingping Shao

Bayesian Evidence-Driven Prototype Evolution for Federated Domain Adaptation

Xiaoyang Yi · Li Peng · Yuru Bao · Jian Zhang

Bayesian Parameter Shift Rules in Variational Quantum Eigensolvers

Samuele Pedrielli · Christopher J. Anders · Lena Funcke · Karl Jansen · Kim A. Nicoli · Shinichi Nakajima

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models

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

Benchmarking Multi-Agent Reinforcement Learning in Power Grid Operations

Enrico Marchesini · Eva Boguslawski · Alessandro Leite · Christopher Amato · Matthieu DUSSARTRE · Marc Schoenauer · Benjamin Donnot · Priya Donti

Benchmarking Open-ended Segmentation

Cristina González · Santiago Rodriguez · Kevis-Kokitsi Maninis · Jordi Pont-Tuset · Pablo Arbelaez

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

Siwei Wang · Yifei Shen · Haoran Sun · Shi Feng · Shang-Hua Teng · Li Dong · Yaru Hao · Wei Chen

Best-of-Infinity: Asymptotic Performance of Test-Time Compute

Junpei Komiyama · Daisuke Oba · Masafumi Oyamada

Best-of-Majority: Minimax-Optimal Strategy for Pass@k Inference Scaling

Qiwei Di · Kaixuan Ji · Xuheng Li · Heyang Zhao · Quanquan Gu

Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback

Amirhossein Afsharrad · Ruida Zhou · Luca Viano · Sanjay Lall · Mohammad Ghavamzadeh

Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty

Mehul Damani · Isha Puri · Stewart Slocum · Idan Shenfeld · Leshem Choshen · Yoon Kim · Jacob Andreas

Beyond Ensembles: Simulating All-Atom Protein Dynamics in a Learned Latent Space

Aditya Sengar · Jiying Zhang · Pierre Vandergheynst · PATRICK BARTH

Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning

Shenao Zhang · Yaqing Wang · Yinxiao Liu · Tianqi Liu · Peter Grabowski · Eugene Ie · Zhaoran Wang · Yunxuan Li

Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes

Fangyu Ding · Ding Ding · Sijin Chen · Kaibo Wang · Peng Xu · Zijin Feng · Haoli Bai · Kai Han · Youliang Yan · Binhang Yuan · Jiacheng Sun

Beyond Match Maximization and Fairness: Retention-Objectified Two-Sided Matching

Rikiya Takehi · Ren Kishimoto · Koichi Tanaka · Yoji Tomita · Masahiro Nomura · Riku Togashi · Yuta Saito

Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning

Qingjun Wang · Hongtu Zhou · Hang Yu · Junqiao Zhao · Yanping Zhao · Chen Ye · Ziqiao Wang · Guang Chen

Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs

Filip Rydin · Attila Lischka · Jiaming Wu · Morteza Haghir Chehreghani · Balazs Kulcsar

Beyond Student: An Asymmetric Network for Neural Network Inheritance

Yiyun Zhou · Jingwei Shi · Mingjing Xu · Zhonghua Jiang · Jingyuan Chen

Beyond the Known: An Unknown-Aware Large Language Model for Open-Set Text Classification

Xi Chen · Chuan Qin · Ziqi Wang · Shasha Hu · Chao Wang · Hengshu Zhu · Hui Xiong

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

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

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation

Peng Lai · Zhihao Ou · Yong Wang · Longyue Wang · Jian Yang · Yun Chen · Guanhua Chen

Bidirectional Predictive Coding

Gaspard Oliviers · Mufeng Tang · Rafal Bogacz

BioMD: All-atom Generative Model for Biomolecular Dynamics Simulation

Bin Feng · Jiying Zhang · Xinni Zhang · Zijing Liu · Yu Li

Birch SGD: A Tree Graph Framework for Local and Asynchronous SGD Methods

Alexander Tyurin · Danil Sivtsov

BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation

Youping Gu · Xiaolong Li · Yuhao Hu · Chen Minqi · Bohan Zhuang

Block-wise Adaptive Caching for Accelerating Diffusion Policy

Kangye Ji · Yuan Meng · Hanyun Cui · Ye Li · Jianbo Zhou · Shengjia Hua · Lei Chen · Zhi Wang

Boosting Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning

Ran Xu · Jingjing Chen · Jiayu Ye · Yu Wu · Jun Yan · Carl Yang · Hongkun Yu

Boosting Multi-Domain Reasoning of LLMs via Curvature-Guided Policy Optimization

Xize Liang · Lin Yang · Jie Wang · Rui Liu · Yang Lu · Jinliang Zeng · Hanzhu Chen · Dong Li · Jianye HAO

Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning

Adnan Oomerjee · Zafeirios Fountas · Haitham Bou Ammar · Jun Wang

Branch and Bound Search for Exact MAP Inference in Credal Networks

Radu Marinescu · Fabio Cozman · Denis D. Mauá · Debarun Bhattacharjya · Junkyu Lee · Alexander Gray

Breaking and Fixing Defenses Against Control Flow Hijacking in Multi-Agent Systems

Rishi Jha · Harold Triedman · Justin Wagle · Vitaly Shmatikov

Breaking Safety Paradox with Feasible Dual Policy Iteration

Yujie Yang · Jinglin Teh · Ziyu Lin · Kaicheng Yu · Tao Zhang · Shengbo Li

Break the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language Models

Weiqing He · Xiang Li · Li Shen · Weijie Su · Qi Long

BrowseNet: Knowledge Graph-Based Associative Memory for Contextual Information Retrieval

PAVAN KUMAR SANTHANA KRISHNAN · Kiran Nakka · C Reddy · Divyateja Pasupuleti · Prakhar Agarwal · Harpinder Singh · Anshu Avinash · Nirav Bhatt

ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer

Chunyuan Deng · Sanket Lokegaonkar · Colin Lockard · Besnik Fetahu · Nasser Zalmout · Xian Li

Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs

Ngoc Bui · Shubham Sharma · Simran Lamba · Saumitra Mishra · Rex Ying

Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling

Yongchang Hao · Lili Mou

Can SAEs reveal and mitigate racial biases of LLMs in healthcare?

Hiba Ahsan · Byron Wallace

Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice

Jiachen (Tianhao) Wang · Tong Wu · Kaifeng Lyu · James Y Zou · Dawn Song · Ruoxi Jia · Prateek Mittal

Can Speech LLMs Think while Listening?

Yi-Jen Shih · Desh Raj · Chunyang Wu · Wei Zhou · SK Bong · Yashesh Gaur · Jay Mahadeokar · Ozlem Kalinli · Mike Seltzer

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks

Damien Teney · Liangze Jiang · Hemanth Saratchandran · Simon Lucey

Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts

Shwai He · Weilin Cai · Jiayi Huang · Ang Li

CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning

Long Xing · Xiaoyi Dong · Yuhang Zang · Yuhang Cao · Jianze Liang · Qidong Huang · Jiaqi Wang · Feng Wu · Dahua Lin

Captain Cinema: Towards Short Movie Generation

Junfei Xiao · Ceyuan Yang · Lvmin Zhang · Shengqu Cai · Yang Zhao · Yuwei Guo · Gordon Wetzstein · Maneesh Agrawala · Alan Yuille · Lu Jiang

CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework

Yuexi Du · Jinglu Wang · Shujie LIU · Nicha C Dvornek · Yan Lu

CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis

Alexander Baumann · Leonardo Ayala · Silvia Seidlitz · Jan Sellner · Alexander Studier-Fischer · Berkin Özdemir · Lena Maier-Hein · Slobodan Ilic

CARL: Preserving Causal Structure in Representation Learning

Yulong Li · Xiwei Liu · Barrett Tang · Zhixiang Lu · Ming Hu · Yichen Li · Haochen Xue · Peixin Guo · Jionglong Su · Yutong Xie · Eran Segal · Imran Razzak

CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Vision-Language Model

Ruijiang Dong · Zesheng Ye · Feng Liu · Jianzhong Qi · Lei Feng · Gang Niu · Masashi Sugiyama

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

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

Cautious Optimizers: Improving Training with One Line of Code

Kaizhao Liang · Lizhang Chen · Bo Liu · Qiang Liu

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

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

Certified Evaluation of Model-Level Explanations for Graph Neural Networks

Sayan Saha · Sanghamitra Bandyopadhyay

Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPs

Shuangchun Gui · Zhiguang Cao · Suyu Liu · Xuehe Wang

Change Point Localization and Inference in Dynamic Multilayer Networks

Fan Wang · Kyle Ritscher · Yik Lun Kei · Xin Ma · OSCAR HERNAN MADRID PADILLA

Characterizing Pattern Matching and Its Limits on Compositional Task Structures

Hoyeon Chang · Jinho Park · Hanseul Cho · Sohee Yang · Miyoung Ko · Hyeonbin Hwang · Seungpil Won · Dohaeng Lee · Youbin Ahn · Minjoon Seo

Chart Deep Research in LVLMs via Parallel Relative Policy Optimization

Jiajin Tang · Gaoyang · Wenjie Wang · Sibei Yang · Xing Chen

Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs

Hengwei Ye · Yuanting Guan · Yuxuan Ge · Tianying Zhu · Yijia Zhong · YiJing Zhang · Han Zhang · Yingna Wu · Zheng Tian

Chimera: State Space Models Beyond Sequences

Aakash Lahoti · Tanya Marwah · Ratish Puduppully · Albert Gu

ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents

Jie-Jing Shao · Bo-Wen Zhang · Xiao-Wen Yang · Baizhi Chen · Siyu Han · Jinghao Pang · Wen-Da Wei · Guohao Cai · Zhenhua Dong · Lan-Zhe Guo · Yu-Feng Li

CitySeeker: How Do VLMs Explore Embodied Urban Navigation with Implicit Human Needs?

Siqi Wang · Chao Liang · Yunfan Gao · Erxin Yu · Sen Li · Jing Li · Haofen Wang

CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditions

Yuliang Zhan · li jian · Wenbing Huang · Yang Liu · Hao Sun

Closing the Modality Gap Aligns Group-Wise Semantics

Eleonora Grassucci · Giordano Cicchetti · Emanuele Frasca · Aurelio Uncini · Danilo Comminiello

CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics

Weida Wang · Dongchen Huang · Jiatong LI · Tengchao Yang · Ziyang Zheng · Chuyi Peng · Di Zhang · Dong Han · Benteng Chen · Binzhao Luo · Zhiyu Liu · kunling liu · Zhiyuan Gao · Shiqigeng geng · Wei Ma · Jiaming Su · Xin Li · Shuchen Pu · Yuhan Shui · Qianjia Cheng · Zhihao Dou · Dongfei Cui · Changyong He · Jin Zeng · Zeke Xie · Mao Su · Dongzhan Zhou · Yuqiang Li · Wanli Ouyang · Yunqi Cai · Xi Dai · Shufei Zhang · LEI BAI · Jinguang Cheng · Zhong Fang · Hongming Weng

CodeGenGuard: A Robust Watermark for Code Generation Models

Borui Yang · Mingxuan Ma · Liyao Xiang · Nan Chen · Xin Zhang · Linghe Kong · Xinghao Jiang

CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving

Shuhang Chen · Yunqiu Xu · Junjie Xie · Aojun Lu · Tao Feng · ZEYING HUANG · ZHANG NING · Yi Sun · Yi Yang · Hangjie Yuan

COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences

Yixin Liu · Argyris Oikonomou · Weiqiang Zheng · Yang Cai · Arman Cohan

Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering

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

Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond

Wei Guo · Molei Tao · Yongxin Chen

CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting

Sumin In · Youngdong Jang · Utae Jeong · MinHyuk Jang · Hyeongcheol Park · Eunbyung Park · Sangpil Kim

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

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

Compositional Neuro-Symbolic Concepts in Neural Activities

Yanchen Wang · Joy Hsu · Ehsan Adeli · Jiajun Wu

Concept Insertion Success over Time in Diffusion Models through Prompt-Conditioned Interventions

Ada Görgün · Fawaz Sammani · Nikos Deligiannis · Bernt Schiele · Jonas Fischer

Concepts' Information Bottleneck Models

Karim Galliamov · Syed Muhammad Ahsan Raza Kazmi · Adil Khan · Adín Ramírez Rivera

ConfHit: Conformal Generative Design via Nested Testing

Siddhartha Laghuvarapu · Ying Jin · Jimeng Sun

Conformalized Decision Risk Assessment

Wenbin Zhou · Agni Orfanoudaki · Shixiang Zhu

Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive Hashing

Junyu Luo · Jinsheng Huang · Yang Xu · Lutong Zou · Xiao Luo · Bohan Wu · Yifan Wang · Wei Ju · Ming Zhang

Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting

Shai Feldman · Stephen Bates · Yaniv Romano

Consistency-Driven Calibration and Matching for Few-Shot Class Incremental Learning

Qinzhe Wang · Zixuan Chen · Keke Huang · Xiu Su · Chunhua Yang · Chang Xu

Consistent Text-to-Image Generation via Scene De-Contextualization

Song Tang · Peihao Gong · Kunyu LI · Kai Guo · Boyu Wang · Mao Ye · Jianwei Dr. Zhang · Xiatian Zhu

Constant Degree Matrix-Driven Incomplete Multi-View Clustering via Connectivity-Structure and Embedding Tensor Learning

Zhibin Gu · Zhenhao Zhong · Xi Zhang · Bing Li

ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation

Ruihang Xu · Dewei Zhou · Fan Ma · Yi Yang

Context Learning for Multi-Agent Discussion

Xingyuan Hua · Sheng Yue · Xinyi Li · Yizhe Zhao · Jinrui Zhang · Ju Ren

Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning

Yuanzhao Zhang · William Gilpin

Contextual Causal Bayesian Optimisation

Vahan Arsenyan · Antoine Grosnit · Haitham Bou Ammar · Arnak Dalalyan

Continuous multinomial logistic regression for neural decoding

Rupasinghe Arachchige Anuththara Rupasinghe · Jonathan Pillow

Continuum Transformers Perform In-Context Learning by Operator Gradient Descent

Yash Patel · Abhiti Mishra · Ambuj Tewari

Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations

Amin Soleimani Abyaneh · Charlotte Morissette · Mohamad H. Danesh · Anas Houssaini · David Meger · Gregory Dudek · Hsiu-Chin Lin

Control Tax: The Price of Keeping AI in Check

Mikhail Terekhov · Zhen Liu · Caglar Gulcehre · Samuel Albanie

Convergence of Regret Matching in Potential Games and Constrained Optimization

Ioannis Anagnostides · Emanuel Tewolde · Brian Zhang · Ioannis Panageas · Vincent Conitzer · Tuomas Sandholm

ConvT3: Structured State Kernels for Convolutional State Space Models

Jaeyoung Hong · YunYoung Choi · Joohwan Ko · Minseon Gwak

CORDS - Continuous Representations of Discrete Structures

Tin Hadži Veljković · Erik Bekkers · Michael Tiemann · Jan-Willem van de Meent

Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models

Zizhuo Zhang · Jianing ZHU · Xinmu Ge · Zihua Zhao · (Andrew) Zhanke Zhou · Xuan Li · Xiao Feng · Jiangchao Yao · Bo Han

CREPE: Controlling diffusion with REPlica Exchange

Jiajun He · Paul Jeha · Peter Potaptchik · Leo Zhang · José Miguel Hernández Lobato · Yuanqi Du · Saifuddin Syed · Francisco Vargas

CroCoDiLight: Repurposing Cross-View Completion Encoders for Relighting

Alistair J Foggin · William Smith

CRONOS: Continuous time reconstruction for 4D medical longitudinal series

Nico Disch · Saikat Roy · Constantin Ulrich · Yannick Kirchhoff · Maximilian Rokuss · Robin Peretzke · David Zimmerer · Klaus Maier-Hein

CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition

Martijn Bartelds · Ananjan Nandi · Moussa Koulako Bala Doumbouya · Dan Jurafsky · Tatsunori Hashimoto · Karen Livescu

CTRL&SHIFT: High-quality Geometry-Aware Object Manipulation in Visual Generation

Penghui Ruan · Bojia Zi · Xianbiao Qi · Youze Huang · Rong Xiao · Pichao WANG · Jiannong Cao · Yuhui Shi

Ctrl-World: A Controllable Generative World Model for Robot Manipulation

Yanjiang Guo · Lucy Shi · Jianyu Chen · Chelsea Finn

Culture in Action: Evaluating Text-to-Image Models through Social Activities

Sina Malakouti · Boqing Gong · Adriana Kovashka

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning

Shubham Parashar · Shurui Gui · Xiner Li · Hongyi Ling · Sushil Vemuri · Blake Olson · Eric Li · Yu Zhang · James Caverlee · Dileep Kalathil · Shuiwang Ji

DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle

Fangyu Lei · Jinxiang Meng · Junjie zhao · Yiming Huang · Yitong Zhang · Jianwen Luo · Xin Zou · Ruiyi Yang · Wenbo Shi · Yan Gao · Shizhu He · Jun Zhao · Zuo Wang · Qian Liu · YANG WANG · Ke Wang · Kang Liu

DAG-Math: Graph-Guided Mathematical Reasoning in LLMs

Yuanhe Zhang · Ilja Kuzborskij · Jason Lee · Chenlei Leng · Fanghui Liu

DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science

Fan Shu · Yite Wang · Ruofan Wu · Boyi Liu · Zhewei Yao · Yuxiong He · Feng Yan

DataMIL: Selecting Data for Robot Imitation Learning with Datamodels

Shivin Dass · Alaa Khaddaj · Logan Engstrom · Aleksander Madry · Andrew Ilyas · Roberto Martín-Martín

Dataset Distillation as Pushforward Optimal Quantization

Hong Ye Tan · Emma Slade

DeAltHDR: Learning HDR Video Reconstruction from Degraded Alternating Exposure Sequences

Shuohao Zhang · Zhilu Zhang · RongJian Xu · Xiaohe Wu · Wangmeng Zuo

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection

Siheng Wang · Yanshu Li · Bohan Hu · Zhengtao Yao · Zhengdao Li · Linshan Li · HaiboZhan · Weiming Liu · Junhao Dong · Ruizhi Qian · Guangxin Wu · Hao Zhang · Jifeng Shen · Piotr Koniusz · Qiang Sun

Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware SSL

Sangyoon Bae · Mehdi Azabou · Blake A Richards · Jiook Cha

Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading

Hadar · Omer Shubi · Yoav Meiri · Amit Heshes · Yevgeni Berzak

Decomposition of Concept-Level Rules in Visual Scenes

Fan Shi · Yuxuan Liang · Xiaolei Chen · Haiyang Yu · Xu Li · Yi Zheng · Rui Zhu · Xiangyang Xue · Bin Li

Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model Editing

Wootaek Jeong · Junghyo Sohn · Jee Seok Yoon · Heung-Il Suk

Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield

Dongyang Liu · Gao Peng · David Liu · DU · Zhen Li · Qilong Wu · Xin Jin · Sihan Cao · Shifeng Zhang · Steven HOI · Hongsheng Li

Decoupling Positional and Symbolic Attention in Transformers

Felipe Urrutia · Jorge Salas · Alexander Kozachinskiy · Cristian Calderon · Hector Pasten · Cristobal Rojas

Decoupling the Class Label and the Target Concept in Machine Unlearning

Jianing ZHU · Bo Han · Jiangchao Yao · Jianliang Xu · Gang Niu · Masashi Sugiyama

DeepEyesV2: Toward Agentic Multimodal Model

Jack Hong · Chenxiao Zhao · Weiheng Lu · ChengLIn Zhu · Guohai Xu · XingYu

Deep FlexQP: Accelerated Nonlinear Programming via Deep Unfolding

Alex Oshin · Rahul Ghosh · Augustinos Saravanos · Evangelos Theodorou

Deep Global-sense Hard-negative Discriminative Generation Hashing for Cross-modal Retrieval

Kun Cheng · Qibing Qin · Wenfeng Zhang · Lei Huang · Jie Nie

Deep Learning for Subspace Regression

Vladimir Fanaskov · Vladislav Trifonov · Alexander Rudikov · Ekaterina Muravleva · Ivan Oseledets

DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models

Mor Ventura · Michael Toker · Or Patashnik · Yonatan Belinkov · Roi Reichart

DeLiVR: Differential Spatiotemporal Lie Bias for Efficient Video Deraining

Shuning Sun · Jialang Lu · Xiang Chen · Jichao Wang · Dianjie Lu · Guijuan Zhang · Guangwei Gao · Zhuoran Zheng

Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring

Changhun Kim · Yechan Mun · Hyeongwon Jang · Eunseo Lee · Sangchul Hahn · Eunho Yang

DeMo: Decoupled Momentum Optimization

Bowen Peng · Lizhang Chen · Baiyu Su · Jeffrey Quesnelle · Diederik (Durk) Kingma · Qiang Liu

Demystifying Deep Search: A Holistic Evaluation with Hint-free Multi-Hop Questions and Factorised Metrics

Maojia Song · Liu Renhang · Xinyu Wang · Yong Jiang · Pengjun Xie · Fei Huang · Soujanya Poria · Jingren Zhou

DePO: Demonstration-guided Policy Optimization for Molecular Optimization

Xuan Li · (Andrew) Zhanke Zhou · Zongze Li · Jiangchao Yao · Yu Rong · Lu Zhang · Bo Han

Depth Anything with Any Prior

zehan wang · Siyu Chen · Lihe Yang · Jialei Wang · Ziang Zhang · Hengshuang Zhao · Zhou Zhao

Detecting Invariant Manifolds in ReLU-Based RNNs

Lukas Eisenmann · Alena Brändle · Zahra Monfared · Daniel Durstewitz

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

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

Differentiable JPEG-based Input Perturbation for Knowledge Distillation Amplification via Conditional Mutual Information Maximization

SIYU CHEN · Kaixiang Zheng · Ahmed Hussien Salamah · EN-HUI YANG

DiffTrans: Differentiable Geometry-Materials Decomposition for Reconstructing Transparent Objects

Changpu Li · Shuang Wu · Songlin Tang · Guangming Lu · Jun Yu · Wenjie Pei

Diffusion as Infinite HVAEs: Do Diffusion Models Generalize Better than Deep VAEs?

François Bertholom · Khalid Oublal

DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation

Makoto Shing · Masanori Koyama · Takuya Akiba

Diffusion Negative Preference Optimization Made Simple

Joshua Tian Jin Tee · Hee Suk Yoon · Sunjae Yoon · Tri Ton · Chang Yoo

DiffusionNFT: Online Diffusion Reinforcement with Forward Process

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

DiMeR: Disentangled Mesh Reconstruction Model with Normal-only Geometry Training

Lutao Jiang · Jiantao Lin · Kanghao Chen · Wenhang Ge · Xin Yang · Yifan Jiang · Yuanhuiyi Lyu · Xu Zheng · LI JING · Yinchuan Li · YINGCONG CHEN

Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs

Emanuele Mule · Stefano Fiorini · Antonio Purificato · Federico Siciliano · Stefano Coniglio · Fabrizio Silvestri

DirMoE: Dirichlet-Routed Mixture of Experts

Amirhossein Vahidi · Hesam Asadollahzadeh · Navid Akhavan Attar · Marie Moullet · Kevin Ly · Xingyi Yang · Mohammad Lotfollahi

Discern Truth from Falsehood: Reducing Over-Refusal via Contrastive Refinement

Yuxiao Lu · Lin Xu · yang sun · Wenjun Li · Jie Shi

Discrete Variational Autoencoding via Policy Search

Michael Drolet · Firas Al-Hafez · Aditya Bhatt · Jan Peters · Oleg Arenz

DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment

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

Distributionally Robust Cooperative Multi-agent Reinforcement Learning with Value Factorization

Chengrui Qu · Christopher Yeh · Kishan Panaganti · Eric Mazumdar · Adam Wierman

Distribution-informed Online Conformal Prediction

Dongjian Hu · Junxi Wu · Shu-Tao Xia · Changliang Zou

Distributions as Actions: A Unified Framework for Diverse Action Spaces

Jiamin He · A. Rupam Mahmood · Martha White

Diversity-Enhanced Reasoning for Subjective Questions

Yumeng Wang · Zhiyuan Fan · Jiayu Liu · Jen-Tse Huang · Yi R. Fung

Divide, Harmonize, Then Conquer It: Shooting Multi-Commodity Flow Problems with Multimodal Language Models

Xinyu Yuan · Yan Qiao · Zonghui Wang · Wenzhi CHEN

DND: Boosting Large Language Models with Dynamic Nested Depth

Tieyuan Chen · Xiaodong Chen · Haoxing Chen · Zhenzhong Lan · Weiyao Lin · Jianguo Li

DNT: a Deeply Normalized Transformer that can be trained by Momentum SGD

Xianbiao Qi · Marco Chen · Wenjie Xiao · Jiaquan Ye · Yelin He · Chun-Guang Li · Zhouchen Lin

Does FLUX Already Know How to Perform Physically Plausible Image Composition?

Shilin Lu · Zhuming Lian · Zihan Zhou · Shaocong Zhang · Chen Zhao · Adams Kong

Don't Settle Too Early: Self-Reflective Remasking for Diffusion Language Models

Zemin Huang · Yuhang Wang · Zhiyang Chen · Guo-Jun Qi

DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs

Xinyu Yao · Daniel Bourgeois · Abhinav Jain · Yuxin Tang · Jiawen Yao · Zhimin Ding · Arlei Silva · Chris Jermaine

Do We Really Need Permutations? Impact of Width Expansion on Linear Mode Connectivity

Akira Ito · Masanori Yamada · Daiki Chijiwa · Atsutoshi Kumagai

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning

Yicheng Lang · Yihua Zhang · Chongyu Fan · Changsheng Wang · Jinghan Jia · Sijia Liu

Dragging with Geometry: From Pixels to Geometry-Guided Image Editing

Xinyu Pu · Hongsong Wang · Jie Gui · Pan Zhou

DreamSwapV: Mask-guided Subject Swapping for Any Customized Video Editing

Weitao Wang · Zichen Wang · Hongdeng Shen · Yulei Lu · Xirui Fan · Suhui Wu · Jun Zhang · Haoqian Wang · Hao Zhang

D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous Grasping

Haozhe Lou · Mingtong Zhang · Haoran Geng · Hanyang Zhou · Sicheng He · Zhiyuan Gao · Siheng Zhao · Jiageng Mao · Pieter Abbeel · Jitendra Malik · Daniel Seita · Yue Wang

DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion Models

Yinuo Ren · Wenhao Gao · Lexing Ying · Grant Rotskoff · Jiequn Han

Drugging the Undruggable: Benchmarking and Modeling Fragment-Based Screening

Haichuan Tan · Bowen Gao · Jiaxin Li · Yinjun Jia · Wenyu Zhu · Wenxuan Xie · Yihong Liu · Yanwen Huang · Jianhui Wang · Yuanhuan Mo · Ya-Qin Zhang · Wei-Ying Ma · Yanyan Lan

DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations

Chao-Hong Tan · Qian Chen · Wen Wang · Chong Deng · Qinglin Zhang · Luyao Cheng · Hai Yu · Xin Zhang · Xiang Lyu · Tianyu Zhao · Chong Zhang · Yukun Ma · Yafeng Chen · Hui Wang · Jiaqing Liu · Xiangang Li · Jieping Ye

Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts

Zhongjian Qiao · Rui Yang · Jiafei Lyu · Xiu Li · Zhongxiang Dai · Zhuoran Yang · Siyang Gao · Shuang Qiu

Dual-Space Smoothness for Robust and Balanced LLM Unlearning

Han Yan · Zheyuan Liu · Meng Jiang

DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies

Wei Song · Yuran Wang · Zijia Song · Yadong Li · Zenan Zhou · Long Chen · Xu Jhua · Jiaqi Wang · Kaicheng Yu

DUET: DISTILLED LLM UNLEARNING FROM AN EFFICIENTLY CONTEXTUALIZED TEACHER

Yisheng Zhong · Zhengbang Yang · Zhuangdi Zhu

Dynamic Chunking for End-to-End Hierarchical Sequence Modeling

Sukjun Hwang · Brandon Wang · Albert Gu

Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling

Fang Wu · Stan Z. Li

Dynamic Speculative Agent Planning

Yilin Guan · Qingfeng Lan · Fei Sun · Dujian Ding · Devang Acharya · Chi Wang · William Wang · Wenyue Hua

ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models

Chenyu Liu · Yuqiu Deng · Tianyu Liu · Jinan Zhou · XINLIANG ZHOU · Ziyu Jia · Yi Ding

EditAnyShape: Shape-Aware Image Editing via Trajectory-Guided Region Control

Zeqian Long · Mingzhe Zheng · Kunyu Feng · Xinhua Zhang · Hongyu Liu · Harry Yang · Linfeng Zhang · Qifeng Chen · Yue Ma

Edit-Based Flow Matching for Temporal Point Processes

David Lüdke · Marten Lienen · Marcel Kollovieh · Stephan Günnemann

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

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

Efficient Differentiable Contact Model with Long-range Influence

XIAOHAN YE · Kui Wu · Taku Komura · zherong pan

Efficient-LVSM: Faster, Cheaper, and Better Large View Synthesis Model via Decoupled Co-Refinement Attention

Xiaosong Jia · Yihang Sun · Junqi You · songbur wong · Zichen Zou · Junchi Yan · Zuxuan Wu · Yu-Gang Jiang

Efficient Message-Passing Transformer for Error Correcting Codes

Seong-Joon Park · Taewoo Park · Hee-Youl Kwak · Sang-Hyo Kim · Yongjune Kim · Jong-Seon No

Efficient Submodular Maximization for Sums of Concave over Modular Functions

Yang Lv · Guihao Wang · Dachuan Xu · Ruiqi Yang

Efficient Turing Machine Simulation with Transformers

Qian Li · Yuyi Wang

EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark

Deheng Zhang · Yuqian Fu · Runyi Yang · Yang Miao · Tianwen Qian · Xu Zheng · Guolei Sun · Ajad Chhatkuli · Xuanjing Huang · Yu-Gang Jiang · Luc Van Gool · Danda Pani Paudel

EgoTwin: Dreaming Body and View in First Person

Jingqiao Xiu · Fangzhou Hong · Yicong Li · Mengze Li · Wentao Wang · Sirui Han · Liang Pan · Ziwei Liu

ELEPHANT: Measuring and understanding social sycophancy in LLMs

Myra Cheng · Sunny Yu · Cinoo Lee · Pranav Khadpe · Lujain Ibrahim · Dan Jurafsky

ELViS: Efficient Visual Similarity from Local Descriptors that Generalizes Across Domains

Pavel Suma · Giorgos Kordopatis-Zilos · Yannis Kalantidis · Giorgos Tolias

Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking

Zhengwei Tao · Haiyang SHEN · Baixuan Li · Wenbiao Yin · Jialong Wu · Kuan Li · Zhongwang Zhang · Huifeng Yin · Rui Ye · Yun Ma · Zhiqiang Gao · Wentao Zhang · Yong Jiang · Pengjun Xie · Fei Huang · Jingren Zhou

Empowering Small VLMs to Think with Dynamic Memorization and Exploration

Jiazhen Liu · Yuchuan Deng · Long Chen

Enabling True Global Perception in State Space Models for Visual Tasks

Jie Hui · Zhenxiang Zhang · Wenyu Mi · Jianji Wang

Enhancing Diffusion-Based Sampling with Molecular Collective Variables

Juno Nam · Bálint Máté · Artur Toshev · Manasa Kaniselvan · Rafael Gomez-Bombarelli · Ricky T. Q. Chen · Brandon Wood · Guan-Horng Liu · Benjamin Kurt Miller

Enhancing Hallucination Detection through Noise Injection

Litian Liu · Reza Pourreza · Sunny Panchal · Apratim Bhattacharyya · Yubing Jian · Yao Qin · Roland Memisevic

Enhancing Language Model Reasoning with Structured Multi-Level Modeling

Siheng Xiong · Ali Payani · Faramarz Fekri

Enhancing Learning with Noisy Labels via Rockafellian Relaxation

Louis Chen · Bobbie Chern · Eric Eckstrand · Amogh Mahapatra · Johannes Royset

Enhancing Vision Transformers for Object Detection via Context-Aware Token Selection and Packing

Tianyi Zhang · Baoxin Li · Jae-sun Seo · Yu Cao

Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers

Firas Gabetni · Giuseppe Curci · Andrea Pilzer · Subhankar Roy · Elisa Ricci · Gianni Franchi

Entropy-preserving reinforcement learning

Ben Lipkin · Aleksei Petrenko · Kevin Chen · Erik Wijmans · Marco Cusumano-Towner · Raja Giryes · Philipp Krähenbühl

Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs

Kang An · Ziliang Wang · Xuhui Zheng · FaQiang Qian · WeiKun Zhang · Yuhang Wang · Wu Yichao

Escaping Low-Rank Traps: Interpretable Visual Concept Learning via Implicit Vector Quantization

Shujian Gao · Yuan Wang · Chenglong Ma · Xin Gao · Jiangtao Yan · Junzhi Ning · Cheng Tang · Changkai Ji · Huihui Xu · Wei Li · Ziyan Huang · Jiashi Lin · Ming Hu · Jiyao Liu · Wenhao Tang · Ye Du · Tianbin Li · Jin Ye · Junjun He

Evaluating Text Creativity across Diverse Domains: a Dataset and Large Language Model Evaluator

Qian Cao · Xiting Wang · Yuzhuo Yuan · Yahui Liu · Fang Luo · Ruihua Song

Every Language Model Has a Forgery-Resistant Signature

Matthew Finlayson · Xiang Ren · Swabha Swayamdipta

Exchangeability of GNN Representations with Applications to Graph Retrieval

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

EXP-Bench: Can AI Conduct AI Research Experiments?

Patrick Tser Jern Kon · Qiuyi Ding · Jiachen Liu · Xinyi Zhu · Jingjia Peng · Jiarong Xing · Yibo Huang · Yiming Qiu · Jayanth Srinivasa · Myungjin Lee · Mosharaf Chowdhury · Matei Zaharia · Ang Chen

ExpGuard: LLM Content Moderation in Specialized Domains

Minseok Choi · Dongjin Kim · Seungbin Yang · Subin Kim · Youngjun Kwak · Juyoung Oh · Jaegul Choo · Jungmin Son

Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets

Yuchen Yang · Wenze Lin · Enhao Huang · Zhixuan Chu · Hongbin zhou · Lan Tao · Yiming Li · Zhan Qin · Kui Ren

Exploring Interpretability for Visual Prompt Tuning with Cross-layer Concepts

Yubin Wang · Xinyang Jiang · De Cheng · Xiangqian Zhao · Zilong Wang · Dongsheng Li · Cai Zhao

Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts

songping wang · Qinglong Liu · Yueming Lyu · Ning Li · Ziwen He · Caifeng Shan

Expressive yet Efficient Feature Expansion with Adaptive Cross-Hadamard Products

Xuyang Zhang · Xi Zhang · Liang Chen · Hao Shi · Qingshan Guo

Extreme Weather Nowcasting via Local Precipitation Pattern Prediction

Changhoon Song · Teng-Yuan Chang · Youngjoon Hong

Fair Graph Machine Learning under Adversarial Missingness Processes

Debolina Halder Lina · Arlei Silva

Fairness-Aware Multi-view Evidential Learning with Adaptive Prior

Haishun Chen · Cai Xu · Jinlong Yu · Yilin Zhang · Ziyu Guan · Wei Zhao · Fangyuan Zhao · Xin Yang

Fairness via Independence: A General Regularization Framework for Machine Learning

Yezi Liu · Hanning Chen · Wenjun Huang · Yang Ni · Mohsen Imani

FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning

Xu Shen · Song Wang · Zhen Tan · Laura Yao · Xinyu Zhao · Kaidi Xu · Xin Wang · Tianlong Chen

Fantastic Tractor-Dogs and How Not to Find Them With Open-Vocabulary Detectors

Frank Ruis · Gertjan J Burghouts · Hugo J. Kuijf

Faster Parameter-Free Regret Matching Algorithms

Linjian Meng · Youzhi Zhang · Shangdong Yang · Wenbin Li · Tianyu Ding · Yang Gao

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

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

Fast Language Generation through Discrete Diffusion Divergence Instruct

Haoyang Zheng · Xinyang Liu · Xiangrui Kong · Nan Jiang · Zheyuan Hu · Weijian Luo · Wei Deng · Guang Lin

FastVMT: Eliminating Redundancy in Video Motion Transfer

Yue Ma · Zhikai Wang · Tianhao Ren · Mingzhe Zheng · Hongyu Liu · Jiayi Guo · Kunyu Feng · Yuxuan Xue · Zixiang Zhao · Konrad Schindler · Qifeng Chen · Linfeng Zhang

Feedback-driven recurrent quantum neural network universality

Lukas Gonon · Rodrigo Martínez-Peña · Juan-Pablo Ortega

FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring

Xiaoyang Liu · Zhengyan Zhou · Zihang Xu · Jiezhang Cao · Zheng Chen · Yulun Zhang

Fine-Tuning Diffusion Models via Intermediate Distribution Shaping

Gautham Anil · Shaan Ul Haque · Nithish Kannen · Dheeraj Nagaraj · Karthikeyan Shanmugam · Sanjay Shakkottai

Fine-tuning Done Right in Model Editing

Wanli Yang · Fei Sun · Rui Tang · Hongyu Zang · Du Su · Qi Cao · Jingang Wang · Huawei Shen · Xueqi Cheng

Fine-tuning Quantized Neural Networks with Zeroth-order Optimization

Sifeng SHANG · JIAYI ZHOU · Chenyu Lin · Minxian Li · Kaiyang Zhou

Flock: A Knowledge Graph Foundation Model via Learning on Random Walks

Jinwoo Kim · Xingyue Huang · Krzysztof Olejniczak · Kyungbin Min · Michael Bronstein · Seunghoon Hong · Ismail I Ceylan

Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning

Yongjae Shin · Jongseong Chae · Jongeui Park · Youngchul Sung

Flow Matching with Semidiscrete Couplings

Alireza Mousavi-Hosseini · Stephen Zhang · Michal Klein · marco cuturi

FlowNIB: An Information Bottleneck Analysis of Bidirectional vs. Unidirectional Language Models

Md Kowsher · Nusrat Prottasha · Shiyun Xu · Shetu Mohanto · OZLEM GARIBAY · Niloofar Yousefi · Chen Chen

Flow Straight and Fast in Hilbert Space: Functional Rectified Flow

Jianxin Zhang · Clayton Scott

Flow Where You Want

Scott Hawley

Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning

Heming Zou · Yunliang Zang · Wutong Xu · Xiangyang Ji

Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion Models

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

Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster

Grigory Bartosh · Teodora Pandeva · Sushrut Karmalkar · Javier Zazo

Fractional-Order Spiking Neural Network

Chengjie Ge · Yufeng Peng · Zihao Li · Qiyu Kang · Xueyang Fu · Xuhao Li · Qixin ZHANG · Ren Junhao · Zheng-Jun Zha

Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Model

Sangwon Jang · Taekyung Ki · Jaehyeong Jo · Jaehong Yoon · Soo Ye Kim · Zhe Lin · Sung Ju Hwang

FreeAdapt: Unleashing Diffusion Priors for Ultra-High-Definition Image Restoration

Xiaoan Liu · Xinyi Liu · Yongjun Zhang · Yi Wan · Tingyun Li · Dongdong Yue

Free Energy Mixer

Jiecheng Lu · Shihao Yang

Frequency-aware Dynamic Gaussian Splatting

Qiaowei Miao · JinSheng Quan · Kehan Li · Yichao Xu · Yi Yang · Yawei Luo

From Assistant to Independent Developer — Are GPTs Ready for Software Development?

Dezhi Ran · Yuan Cao · Mengzhou Wu · Simin Chen · Yuzhe Guo · Jun Ren · Zihe Song · Hao Yu · Jialei Wei · Linyi Li · Wei Yang · Baishakhi Ray · Tao Xie

From atom to space: A region-based readout function for spatial properties of materials

Jiawen Zou · Weimin Tan · Zhongyao Wang · Hao Qi · Bo Yan

From Cheap Geometry to Expensive Physics: Elevating Neural Operators via Latent Shape Pretraining

Zhizhou Zhang · Youjia Wu · Kaixuan Zhang · Yanjia Wang

From Embedding to Control: Representations for Stochastic Multi-Object Systems

Xiaoyuan Cheng · Yiming Yang · Wei Jiang · Chenyang Yuan · Zhuo Sun · Yukun Hu

From Large to Small: Transferring CUDA Optimization Expertise via Reasoning Graph

Junfeng Gong · Zhiyi Wei · Junying Chen · Cheng Liu · Huawei Li

From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning

Ruilin Luo · Chufan Shi · Yizhen Zhang · Cheng Yang · Songtao Jiang · Tongkun Guan · Ruizhe Chen · Ruihang Chu · Peng Wang · Mingkun Yang · Lei Wang · Yujiu Yang · Junyang Lin · ZhiBo Yang

From Natural Alignment to Conditional Controllability in Multimodal Dialogue

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

From Parameters to Behaviors: Unsupervised Compression of the Policy Space

Davide Tenedini · Riccardo Zamboni · Mirco Mutti · Marcello Restelli

From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking

Gyeongwon J Kim · Alex Wilf · Louis-Philippe Morency · Daniel Fried

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

Yifu Yuan · Haiqin Cui · Yibin Chen · Zibin Dong · Fei Ni · Longxin Kou · Jinyi Liu · Pengyi Li · YAN ZHENG · Jianye HAO

From ``Sure" to ``Sorry": Detecting Jailbreak in Large Vision Language Model via JailNeurons

Yuyou Gan · Qingming Li · Junhao Li · Zhi Chen · Jinbao Li · Xiaoming Li · Shouling Ji

FullPart: Generating each 3D Part at Full Resolution

Lihe Ding · Shaocong Dong · Yaokun Li · Chenjian Gao · Xiao Chen · Rui Han · Yihao Kuang · Hong Zhang · Bo Huang · Zhanpeng Huang · Zibin Wang · Dan Xu · Tianfan Xue

Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology

Minghao Han · Dingkang Yang · Linhao Qu · Zizhi Chen · Gang Li · Han Wang · Jiacong Wang · Lihua Zhang

GAP: Gradient Adjustment with Phase-guidance for Robust Vision-Proprioception Policies in Robotic Manipulation

Jingxian Lu · Wenke Xia · Yuxuan Wu · Zhiwu Lu · Di Hu

GarmentGPT: Compositional Garment Pattern Generation via Discrete Latent Tokenization

Fangsheng Weng · Junhao Chen · Jie Qin · Hanzhong Guo · Xiang Li · ShaochunHao · Xiaoguang Han

GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver

Aleksandr Oganov · Ilya Bykov · Eva Neudachina · Mishan Aliev · Alexander Tolmachev · Alexander Sidorov · Zuev Aleksandr · Andrei Okhotin · Denis Rakitin · Aibek Alanov

Gauge Flow Matching: Efficient Constrained Generative Modeling over General Convex Set and Beyond

Xinpeng Li · Enming Liang · Minghua Chen

Gaussian certified unlearning in high dimensions: A hypothesis testing approach

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

GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception

Xiao Zhao · Chang Liu · Mingxu Zhu · Zheyuan Zhang · Linna Song · Qingliang Luo · Chufan Guo · Kuifeng Su

GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Tejal Patwardhan · Rachel Dias · Elizabeth Proehl · Grace Kim · Michele Wang · Olivia Watkins · Simon Fishman · Marwan Aljubeh · Phoebe Thacker · Laurance Fauconnet · Natalie Kim · Samuel Miserendino · Gildas Chabot · David Li · Patrick Chao · Michael Sharman · Alexandra Barr · Amelia Glaese · Jerry Tworek

Generalization Below the Edge of Stability: The Role of Data Geometry

Tongtong Liang · Alexander Cloninger · Rahul Parhi · Yu-Xiang Wang

Generating Directed Graphs with Dual Attention and Asymmetric Encoding

Alba Carballo Castro · Manuel Madeira · Yiming Qin · Dorina Thanou · Pascal Frossard

Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer

Nilushika Udayangani Hewa Dehigahawattage · Nandakishor Desai · Marimuthu Palaniswami

GeoFAR: Geography-Informed Frequency-Aware Super-Resolution for Climate Data

Chang Xu · Gencer Sumbul · Li Mi · Robin Zbinden · Devis Tuia

Geometric Constraints for Small Language Models to Understand and Expand Scientific Taxonomies

Liri Fang · Dongqi Fu · Jiawei Han · Jingrui He · Vetle Torvik

GeomMotif: A Benchmark for Arbitrary Geometric Preservation in Protein Generation

Pavel Strashnov · Andrey Shevtsov · Viacheslav Meshchaninov · Olga Kardymon · Dmitry P. Vetrov

GEPO: Group Expectation Policy Optimization for Stable Heterogeneous Reinforcement Learning

Han Zhang · Ruibin Zheng · ZEXUAN YI · Zhuo Zhang · Hanyang Peng · HUI WANG · Jiayin Qi · Binxing Fang · Ruifeng Xu · Yue Yu

Gistify: Codebase-Level Understanding via Runtime Execution

Hyunji Lee · Minseon Kim · Chinmay Singh · Matheus Pereira · Atharv Sonwane · Isadora White · Elias Stengel-Eskin · Mohit Bansal · Zhengxiang Shi · Alessandro Sordoni · Marc-Alexandre Cote · Eric Yuan · Lucas Caccia

Glance and Focus Reinforcement for Pan-cancer Screening

Linshan Wu · Jia-Xin Zhuang · Hao CHEN

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

Donald Loveland · Yao-An Yang · Danai Koutra

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

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

GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs

Selim An · Yeseong Kim · Il Suh

GneissWeb: Preparing High Quality Data for LLMs at Scale

Hajar Emami Gohari · Swanand Kadhe · Yousaf Shah · Constantin Adam · Abdulhamid Adebayo · Praneet Adusumilli · Farhan Ahmed · Nathalie Baracaldo · Santosh Borse · Yuan-Chi Chang · Xuan-Hong Dang · Nirmit Desai · Revital Eres · Ran Iwamoto · Alexei Karve · Yan Koyfman · Wei-Han Lee · Changchang Liu · Boris Lublinsky · Takuya Ohko · Pablo Pesce · Maroun Touma · Shiqiang Wang · Shalisha Witherspooon · Herbert Woisetschläger · David Wood · Kun-Lung Wu · Issei Yoshida · Syed Zawad · Petros Zerfos · Yi Zhou · Bishwaranjan Bhattacharjee

Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems

Zherui Li · Yan Mi · Zhenhong Zhou · Houcheng Jiang · Guibin Zhang · Kun Wang · Junfeng Fang

GoalRank: Group-Relative Optimization for a Large Ranking Model

Kaike Zhang · Xiaobei Wang · Shuchang Liu · HailanYang · Xiang Li · Lantao Hu · Han Li · Qi Cao · Fei Sun · Kun Gai

Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments

Di Wen · Lei Qi · Kunyu Peng · Kailun Yang · Fei Teng · Ao Luo · Jia Fu · Yufan Chen · Ruiping Liu · Yitian Shi · M. Sarfraz · Rainer Stiefelhagen

Go-Browse: Training Web Agents with Structured Exploration

Apurva Gandhi · Graham Neubig

Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction

Yong Lin · Shange Tang · Bohan Lyu · Ziran Yang · Jui-Hui Chung · Haoyu Zhao · Lai Jiang · Yihan Geng · Jiawei Ge · Jingruo Sun · Jiayun Wu · Jiri Gesi · Ximing Lu · David Acuna · Kaiyu Yang · Hongzhou Lin · Yejin Choi · Danqi Chen · Sanjeev Arora · Chi Jin

GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies

He Zhang · Ying Sun · Hui Xiong

GRADIEND: Feature Learning within Neural Networks Exemplified through Biases

Jonathan Drechsel · Steffen Herbold

GranViT: A Fine-Grained Vision Model With Autoregressive Perception For MLLMs

Guanghao Zheng · Bowen Shi · Mingxing Xu · Ruoyu Sun · Peisen Zhao · Zhibo Zhang · Wenrui Dai · Junni Zou · Hongkai Xiong · XIAOPENG ZHANG · Qi Tian

Graphon Cross-Validation: Assessing Models on Network Data

Huimin Cheng · Yongkai Chen · Ping Ma · Wenxuan Zhong

GraphShield: Graph-Theoretic Modeling of Network-Level Dynamics for Robust Jailbreak Detection

Sunghee Dong · Sungwon Yi · Kangmin Bae · Jaeyoon Kim · Seongyeop Kim

Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation

Yehjin Shin · Seojin Kim · Noseong Park

Grasp Any Region: Prompting MLLM to Understand the Dense World

Haochen Wang · Yuhao Wang · Tao Zhang · Yikang Zhou · Yanwei Li · Jiacong Wang · Jiani zheng · Ye Tian · Jiahao Meng · Zilong Huang · Guangcan Mai · Anran Wang · Yunhai Tong · Zhuochen Wang · Xiangtai Li · Zhaoxiang Zhang

Grounding and Enhancing Informativeness and Utility in Dataset Distillation

Shaobo Wang · Yantai Yang · Guo Chen · Peiru Li · Kaixin Li · Yufa Zhou · Zhaorun Chen · Linfeng Zhang

Grounding Computer Use Agents on Human Demonstrations

Aarash Feizi · Shravan Nayak · Xiangru Jian · Kevin Qinghong Lin · Kaixin Li · Rabiul Awal · Xing Han Lu · Johan S Obando Ceron · Juan A. Rodriguez · Nicolas Chapados · David Vazquez · Adriana Romero-Soriano · Reihaneh Rabbany · Perouz Taslakian · Christopher Pal · Spandana Gella · Sai Rajeswar Mudumba

Grounding or Guessing? Visual Signals for Detecting Hallucinations in Sign Language Translation

Yasser HAMIDULLAH · Koel Dutta Chowdhury · Yusser Al Ghussin · Shakib Yazdani · Cennet Oguz · Josef Genabith · Cristina España-Bonet

Group Representational Position Embedding

Yifan Zhang · Zixiang Chen · Yifeng Liu · Qin Zhen · Rina Hughes · Kangping Xu · Yang Yuan · Quanquan Gu · Andrew Yao

Group Verification-based Policy Optimization for Interactive Coding Agents

Dai · Haolun Wu · Huanran Zheng · Tao Ji · Yuanbin Wu · Junchi Yan · Dell Zhang · Xiaoling Wang · Xuelong Li · Changzhi Sun

Guided Policy Optimization under Partial Observability

yueheng li · Guangming Xie · Zongqing Lu

Guided Speculative Inference for Efficient Test-Time Alignment of LLMs

Jonathan Geuter · Youssef Mroueh · David Alvarez-Melis

GUIDE: Gated Uncertainty-Informed Disentangled Experts for Long-tailed Recognition

Yuan Dong · Zhe Zhao · Liheng Yu · Di Wu · Pengkun Wang

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

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

Hallucination-aware Intermediate Representation Editing in Large Vision-Lanugage Models

Wei Suo · Hanzu Zhang · Lijun Zhang · Ji Ma · PENG WANG · Yanning Zhang

HAMLET: Hyperadaptive Agent-based Modeling for Live Embodied Theatrics

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

Harmonized Cone for Feasible and Non-conflict Directions in Training Physics-Informed Neural Networks

Dohyun Bu · Yujung Byun · JONGSEOK LEE

HFSTI-Net: Hierarchical Frequency-spatial-temporal Interactions for Video Polyp Segmentation

Yuanqin He · Guilian Chen · Yuhua Zhang · Huisi Wu · Jing Qin

Hidden Breakthroughs in Language Model Training

Sara Kangaslahti · Elan Rosenfeld · Naomi Saphra

HiDivDrop: Vision Token Reduction in MLLMs via Late Injection and Differentiable Top-K

Hao Wu · Yingqi Fan · Dai Jinyang · Junlong Tong · Yunpu Ma · Xiaoyu Shen

Hierarchical Prototype Learning for Semantic Segmentation

Seoha Lim · Jinmyeong Kim · Jieun Kim · Sung-Bae Cho

Hierarchical Value-Decomposed Offline Reinforcement Learning for Whole-Body Control

Zhilong Zhang · Yunpeng Mei · Xinghao Du · Hongjie Cao · Haonan Wang · Pengyuan Min · Chenyu Wang · Pengfei Chen · Chenbo Xin · Yijie Wang · Wenyu Luo · Yihao Sun · Yidi Wang · Lei Yuan · Gang Wang · Yang Yu

High-Dimensional Analysis of Single-Layer Attention for Sparse-Token Classification

Nicholas Barnfield · Hugo Cui · Yue Lu

High Probability Bounds for Non-Convex Stochastic Optimization with Momentum

Shaojie Li · Pengwei Tang · Bowei Zhu · Yong Liu

High-Probability Bounds for the Last Iterate of Clipped SGD

Savelii Chezhegov · Daniela Angela Parletta · Andrea Paudice · Eduard Gorbunov

HippoTune: A Hippocampal Associative Loop–Inspired Fine-Tuning Method for Continual Learning

Yanxi Chen · Xiuxing Li · yuyang Han · Zhuo Wang · Qing Li · Ziyu Li · Xiang Li · Chen Wei · Xia Wu

HLD: Approximate Hierarchical Linguistic Distribution Modeling for LLM-Generated Text Detection

Rui Guo · Weibin Zeng · Fuzhang Wu · Yan Kong · sicheng shen · Yanjun WU · Weiming Dong

HoloPart: Generative 3D Part Amodal Segmentation

Yunhan Yang · Yuanchen Guo · Yukun Huang · Zi-Xin Zou · Zhipeng Yu · Yangguang Li · Yanpei Cao · Xihui Liu

Homeostatic Adaptation of Optimal Population Codes under Metabolic Stress

Yi-Chun Hung · Gregory Schwartz · Emily Cooper · Emma Alexander

How Text Quality Interventions Reshape Neural Scaling Laws for LLMs: Empirical Study

Newsha Ardalani · Feiyang Kang · Michael Kuchnik · Mostafa Elhoushi · Shubho Sengupta · Shang-Wen Li · Carole-Jean Wu

How To Open the Black Box: Modern Models for Mechanistic Interpretability

Juntai Cao · Xiang Zhang · Raymond Li · Jiarui Ding

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks

Rahul Ramachandran · Ali Garjani · Roman Bachmann · Andrei Atanov · Oğuzhan Kar · Amir Zamir

HSG-12M: A Large-Scale Dataset of Spatial Multigraphs from the Energy Spectra of non-Hermitian Crystals

Xianquan Yan · Hakan Akgün · Kenji Kawaguchi · Duane Loh · Ching Lee

Human3R: Everyone Everywhere All at Once

YUE CHEN · Xingyu Chen · Yuxuan Xue · Anpei Chen · Yuliang Xiu · Gerard Pons-Moll

Human-Object Interaction via Automatically Designed VLM-Guided Motion Policy

Zekai Deng · Ye Shi · Kaiyang Ji · Lan Xu · Shaoli Huang · Jingya Wang

HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks

Adnan El Assadi · Isaac Chung · Roman Solomatin · Niklas Muennighoff · Kenneth Enevoldsen

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

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

Hybrid Training for Vision-Language-Action Models

Pietro Mazzaglia · Cansu Sancaktar · Markus Peschl · Daniel Dijkman

HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs

Xingyue Huang · Mikhail Galkin · Michael Bronstein · Ismail I Ceylan

Hyperbolic Aware Minimization: Implicit Bias for Sparsity

Tom Jacobs · Advait Gadhikar · Celia Rubio-Madrigal · Rebekka Burkholz

Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport

Harry Amad · Mihaela van der Schaar

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation

Yujia Cai · Boxuan Li · Chenghao Xu · Jiexi Yan

I2Mole: Interaction-aware Invariant Molecular Learning For Generalizable Property Prediction

Wenjie Du · Jiahui Zhang · Xuqiang Li · Sihan Wang · Zhengyang Zhou · Hongxin Xiang · Jun Xia · Ye Wei · Yang Wang

IAGA: Identity-Aware Gaussian Approximation for Efficient 3D Molecular Generation

Jingxiang Qu · Wenhan Gao · Ruichen Xu · Yi Liu

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

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

ICDiffAD: Implicit Conditioning Diffusion Model for Time Series Anomaly Detection

Fan Zhang · Sinchee Chin · Jing-Hao Xue · Wenming Yang

IceCache: Memory-Efficient KV-cache Management for Long-Sequence LLMs

Yuzhen Mao · Qitong Wang · Martin Ester · Ke Li

ICPO: Provable and Practical In-Context Policy Optimization for Test-Time Scaling

Tianrun Yu · Yuxiao Yang · Zhaoyang Wang · Kaixiang Zhao · Porter Jenkins · Xuchao Zhang · Chetan Bansal · Huaxiu Yao · Weitong Zhang

ICYM2I: The illusion of multimodal informativeness under missingness

Young Sang Choi · Vincent Jeanselme · Pierre Elias · Shalmali Joshi

IDER: IDEMPOTENT EXPERIENCE REPLAY FOR RELIABLE CONTINUAL LEARNING

Zhanwang Liu · Yuting Li · Haoyuan Gao · Yexin Li · Linghe Kong · Lichao Sun · Weiran Huang

ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation

Rotem Shalev-Arkushin · Rinon Gal · Amit Bermano · Ohad Fried

Improving 2D Diffusion Models for 3D Medical Imaging with Inter‑Slice Consistent Stochasticity

Chenhe Du · Qing Wu · Xuanyu Tian · Jingyi Yu · Yuyao Zhang · Hongjiang Wei

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

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

Improving Human-AI Coordination through Online Adversarial Training and Generative Models

Paresh Chaudhary · Yancheng Liang · Daphne Chen · Simon Du · Natasha Jaques

Improving LLM-based Global Optimization with Search Space Partitioning

Andrej Schwanke · Lyubomir Ivanov · David Salinas · Fabio Ferreira · Aaron Klein · Frank Hutter · Arber Zela

Improving Semantic Proximity in English-Centric Information Retrieval through Cross-Lingual Alignment

Seongtae Hong · Youngjoon Jang · Hyeonseok Moon · Jungseob Lee · Heuiseok Lim

IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation

Sunghyun Baek · Jaemyung Yu · Seunghee Koh · Minsu Kim · Hyeonseong Jeon · Junmo Kim

In-Context Algorithm Emulation in Fixed-Weight Transformers

Jerry Yao-Chieh Hu · Hude Liu · Jennifer Zhang · Han Liu

Incorporating Expert Priors into Bayesian Optimization via Dynamic Mean Decay

Chongqi Qu · Meiqin Liu · Jian Lan · Shanling Dong · Zhunga Liu

InfBaGel: Human-Object-Scene Interaction Generation with Dynamic Perception and Iterative Refinement

Yude Zou · Junji Gong · Xing Gao · Zixuan Li · Tianxing Chen · Guanjie Zheng

Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification

Siyi Du · Xinzhe Luo · Declan O'regan · Chen Qin

InfoBridge: Mutual Information estimation via Bridge Matching

Sergei Kholkin · Ivan Butakov · Evgeny Burnaev · Nikita Gushchin · Aleksandr Korotin

InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents

Yaxin Du · Yuanshuo Zhang · Yifan Zhou · Xiyuan Yang · Cheng Wang · Gongyi Zou · Xianghe Pang · WenHao Wang · Menglan Chen · Shuo Tang · Siheng Chen

Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn LLM Agents

Guoqing Wang · Sunhao Dai · Guangze Ye · Zeyu Gan · Wei Yao · Yong Deng · Xiaofeng Wu · zhenzhe ying

Information Shapes Koopman Representation

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

Information Theoretic Guarantees For Policy Alignment In Large Language Models

Youssef Mroueh · Apoorva Nitsure

Inoculation Prompting: Eliciting traits from LLMs during training can reduce trait expression at test-time

Daniel Tan · Anders Woodruff · Niels Warncke · Arun Jose · Maxime Riché · David Demitri Africa · Mia Taylor

InputDSA: Demixing, then comparing recurrent and externally driven dynamics

Ann Huang · Mitchell Ostrow · Satpreet H Singh · Leo Kozachkov · Ila Fiete · Kanaka Rajan

InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search

Kaican Li · Lewei Yao · Jiannan Wu · Tiezheng YU · Jierun Chen · Haoli Bai · LU HOU · Lanqing HONG · Wei Zhang · Nevin Zhang

Interactive Learning of Single-Index Models via Stochastic Gradient Descent

Nived Rajaraman · Yanjun Han

Inter-Agent Relative Representations for Multi-Agent Option Discovery

Raul Steleac · Mohan Sridharan · David Abel

Interference-Isolated Elastic Weight Consolidation and Knowledge Calibration for Incremental Object Detection

De Cheng · Mingyue Zeng · Zhipeng Xu · Di Xu · Nannan Wang · Xinbo Gao

Internal Evaluation of Density-Based Clusterings with Noise

Anna Beer · Lena Krieger · Pascal Weber · Martin Ritzert · Ira Assent · Claudia Plant

Intrinsic training dynamics of deep neural networks

Sibylle Marcotte · Gabriel Peyré · Rémi Gribonval

Invisible Safety Threat: Malicious Finetuning for LLM via Steganography

Guangnian Wan · Xinyin Ma · Gongfan Fang · Xinchao Wang

Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review

Sungduk Yu · Man Luo · Avinash Madasu · Vasudev Lal · Phillip Howard

Iterated Q-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning

Théo Vincent · Daniel Palenicek · Boris Belousov · Jan Peters · Carlo D'Eramo

IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video?

Yang Chen · Minghao Liu · Yufan Shen · Yunwen Li · Tianyuan Huang · Xinyu Fang · Tianyu Zheng · Wenxuan Huang · Cheng Yang · Licheng Wen · Xuemeng Yang · DAOCHENG FU · Jianbiao Mei · Rong Wu · Song Mao · Qunshu Lin · Zhi Yu · Yongliang Shen · Yu Qiao · Botian Shi

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Chenxi Whitehouse · Tianlu Wang · Ping Yu · Xian Li · Jason E Weston · Ilia Kulikov · Swarnadeep Saha

JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation

Guillem Capellera · Luis Ferraz · Antonio Romano · Alexandre Alahi · Antonio Agudo

Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference

Qianyi Chen · Anpeng Wu · Bo Li · Lu Deng · Yong Wang

Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness

Erfan Shayegani · Keegan Hines · Yue Dong · Nael Abu-Ghazaleh · Roman Lutz · Spencer Whitehead · Vidhisha Balachandran · Besmira Nushi · Vibhav Vineet

Knowledge Distillation for Large Language Models through Residual Learning

Thinh On · Hengzhi Pei · Leonard Lausen · George Karypis

Knowledge Externalization: Reversible Unlearning and Modular Retrieval in Multimodal Large Language Models

Jiaqi Li · Zihan You · Ruoyan Shen · Shenyu Zhang · Songlin Zhai · Yongrui Chen · Chuanyi Zhang · Jiahui Geng · Fakhri Karray · Sheng Bi · Guilin Qi

KVComm: Enabling Efficient LLM Communication through Selective KV Sharing

Xiangyu Shi · Marco Chiesa · Gerald Q. Maguire Jr. · Dejan Kostic

Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning

David Bani-Harouni · Chantal Pellegrini · Ege Özsoy · Matthias Keicher · Nassir Navab

Language Identification in the Limit with Computational Trace

Binghui Peng · Amin Saberi · Grigoris Velegkas

Large Depth Completion Model from Sparse Observations

Zhu Yu · zhengyi zhao · Runmin Zhang · Lingteng Qiu · Si-Yuan Cao · Kejie Qiu · Yisheng He · Siyu Zhu · Zilong Dong · Hui-liang Shen

Latent Planning Emerges with Scale

Michael Hanna · Emmanuel Ameisen

Latent Veracity Inference for Identifying Errors in Stepwise Reasoning

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

LaTo: Landmark-tokenized Diffusion Transformer for Fine-grained Human Face Editing

Zhenghao zhang · Ziying Zhang · Junchao Liao · Xiangyu Meng · Qiang Hu · Siyu Zhu · Xiaoyun Zhang · Long Qin · Weizhi Wang

LaVCa: LLM-assisted Visual Cortex Captioning

Takuya Matsuyama · Shinji Nishimoto · Yu Takagi

LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers

Yingheng Wang · Zichen Wang · Gil Sadeh · Luca Zancato · Alessandro Achille · George Karypis · Huzefa Rangwala

Learnable Sparsity for Vision Generative Models

Yang Zhang · Er Jin · Wenzhong Liang · Yanfei Dong · Ashkan Khakzar · Philip Torr · Johannes Stegmaier · Kenji Kawaguchi

Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation

Wei Chen · Xingyu Guo · Shuang Li · Zhao Zhang · Yan Zhong · Fuzhen Zhuang · deqing wang

Learning Boltzmann Generators via Constrained Mass Transport

Christopher von Klitzing · Denis Blessing · Henrik Schopmans · Pascal Friederich · Gerhard Neumann

Learning Concept Bottleneck Models from Mechanistic Explanations

Antonio De Santis · Schrasing Tong · Marco Brambilla · Lalana Kagal

Learning Correlated Reward Models: Statistical Barriers and Opportunities

Yeshwanth Cherapanamjeri · Constantinos C Daskalakis · Gabriele Farina · Sobhan Mohammadpour

Learning Distributions over Permutations and Rankings with Factorized Representations

Daniel Severo · Brian Karrer · Niklas Nolte

Learning from the Electronic Structure of Molecules across the Periodic Table

Manasa Kaniselvan · Benjamin Kurt Miller · Meng Gao · Juno Nam · Daniel Levine

Learning Human Habits with Rule-Guided Active Inference

Gong Zhiren · Chao Yang · Wendi Ren · Shuang Li

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies

Armin Kekić · Jan Schneider · Dieter Büchler · Bernhard Schölkopf · michel besserve

Learning Retrieval Models with Sparse Autoencoders

Thibault Formal · Maxime Louis · Hervé Déjean · Stéphane Clinchant

Learning Self-Critiquing Mechanisms for Region-Guided Chest X-Ray Report Generation

Sixing Yan · Ziao Wang · Kejing Yin · William Kwok-wai Cheung · Ka Chun Cheung · Simon See

Learning Shrinks the Hard Tail: Training‑Dependent Inference Scaling in a Solvable Linear Model

Noam Levi

Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation

Wei Chen · Xingyu Guo · Shuang Li · Yan Zhong · Zhao Zhang · Fuzhen Zhuang · Hongrui Liu · Libang Zhang · Guo Ye · HUIMEI HE

Learning Survival Distributions with Individually Calibrated Asymmetric Laplace Distribution

Deming Sheng · Ricardo Henao

Learning-Time Encoding Shapes Unlearning in LLMs

Ruihan Wu · Konstantin Garov · Kamalika Chaudhuri

Learning to Interpret Weight Differences in Language Models

Avichal Goel · Yoon Kim · Nir Shavit · Tony Wang

Learning to Maximize Rewards via Reaching Goals

Chongyi Zheng · Mahsa Bastankhah · Grace Liu · Benjamin Eysenbach

Learning to Reason for Hallucination Span Detection

Hsuan Su · Ting-Yao Hu · Hema Swetha Koppula · Kundan Krishna · Hadi Pouransari · Cheng-Yu Hsieh · Cem Koc · Joseph Cheng · Oncel Tuzel · Raviteja Vemulapalli

Learning to Recall with Transformers Beyond Orthogonal Embeddings

Nuri Mert Vural · Alberto Bietti · Mahdi Soltanolkotabi · Denny Wu

Learning What Matters Now: Dynamic Preference Inference under Contextual Shifts

Xianwei Cao · Dou Quan · Zhenliang Zhang · Shuang Wang

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

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

Learn to Guide Your Diffusion Model

Alexandre Galashov · Ashwini Pokle · Arnaud Doucet · Arthur Gretton · Mauricio Delbracio · Valentin De Bortoli

Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Wei Liu · Ruochen Zhou · Yiyun Deng · Yuzhen Huang · Junteng LIU · Yuntian Deng · Yizhe Zhang · Junxian He

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models

Ruilin Yao · Bo Zhang · Jirui Huang · Xinwei Long · Yifang Zhang · Tianyu Zou · Shili Xiong · Yi Rong · Yufei Wu · Shichao Su · Yifan Xu · Wenxi Zeng · Zhaoyu Yang · Guoyou Li · Shilan Zhang · Zichan Li · Yaxiong Chen · Shengwu Xiong · Peng Xu · Jiajun Zhang · Bowen Zhou · David Clifton · Luc Van Gool

Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting

Yixing Lao · Xuyang BAI · Xiaoyang Wu · Nuoyuan Yan · Zixin Luo · Tian Fang · Jean-Daniel Nahmias · Yanghai Tsin · Shiwei Li · Hengshuang Zhao

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

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

Let's Explore Step by Step: Generating Provable Formal Statements with Deductive Exploration

Qi Liu · Kangjie Bao · Yue Yang · Xinhao Zheng · Renqiu Xia · Qinxiang Cao · Junchi Yan

Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction

Aditya Sarkar · Yi Li · Jiacheng Cheng · Shlok Mishra · Nuno Vasconcelos

Lifelong Embodied Navigation Learning

Xudong Wang · Jiahua Dong · Baichen Liu · Qi Lyu · Lianqing Liu · Zhi Han

LightCtrl: Training-free Controllable Video Relighting

Yizuo Peng · Xuelin Chen · Kai Zhang · Xiaodong Cun

LiveClin: A Live Clinical Benchmark without Leakage

Xidong Wang · Guo shuqi · YUE SHEN · Junying Chen · Jian Wang · Jinjie Gu · Ping Zhang · Lei Liu · Wang Benyou

LLaVAction: evaluating and training multi-modal large language models for action understanding

Haozhe Qi · Shaokai Ye · Alexander Mathis · Mackenzie Mathis

LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena

Qingchuan Yang · Simon Mahns · Sida Li · Anri Gu · Jibang Wu · Haifeng Xu

LLM Fingerprinting via Semantically Conditioned Watermarks

Thibaud Gloaguen · Robin Staab · Nikola Jovanović · Martin Vechev

LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures

Hai Huang · Yann LeCun · Randall Balestriero

LLM Pretraining with Continuous Concepts

Jihoon Tack · Jack Lanchantin · Jane Dwivedi-Yu · Andrew Cohen · Ilia Kulikov · Janice Lan · Shibo Hao · Yuandong Tian · Jason E Weston · Xian Li

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities

Thomas Schmied · Jörg Bornschein · Jordi Grau-Moya · Markus Wulfmeier · Razvan Pascanu

LLMS ON TRIAL: Evaluating Judicial Fairness For Large Language Models

Yiran HU · Zongyue Xue · Haitao Li · Siyuan Zheng · Qingjing Chen · Shaochun Wang · Xihan Zhang · Ning Zheng · Yun Liu · Qingyao Ai · Yiqun LIU · Charles L. A. Clarke · Weixing Shen

Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation

Peter Baile Chen · Yi Zhang · Dan Roth · Samuel Madden · Jacob Andreas · Mike Cafarella

LogiConBench: Benchmarking Logical Consistencies of LLMs

Zheng Chen · Chuan Zhou · Fengxiang Cheng · Tin Po Yip · Fenrong Liu · Yisen Wang · Jiajun Chai · Xiaohan Wang · Guojun Yin · Wei Lin · Haoxuan Li · Bo Li · Zhouchen Lin

LogiStory: A Logic-Aware Framework for Multi-Image Story Visualization

Chutian Meng · Fan Ma · Chi Zhang · Jiaxu Miao · Yi Yang · Yueting Zhuang

Loneliness as a Case Study for Social Reward Misalignment

Samantha Adorno · Akshata Kishore Moharir · Ratna Kandala

Long-Context Generalization with Sparse Attention

Pavlo Vasylenko · Hugo Pitorro · Andre Martins · Marcos V Treviso

Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs

Zhuowen Liang · Xiaotian Lin · Zhengxuan Zhang · Yuyu Luo · Haixun Wang · Nan Tang

Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents

Yaorui SHI · Yuxin Chen · Siyuan Wang · Sihang Li · Hengxing Cai · Qi GU · Xiang Wang · An Zhang

Lossless Vocabulary Reduction for Auto-Regressive Language Models

Daiki Chijiwa · Taku Hasegawa · Kyosuke Nishida · Shin'ya Yamaguchi · Tomoya Ohba · Tamao Sakao · Susumu Takeuchi

Low-Rank Few-Shot Node Classification by Node-Level Graph Diffusion

Yancheng Wang · Chengshuai Zhao · Dongfang Sun · huan liu · Yingzhen Yang

Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization

Charalampos Shimillas · Kleanthis Malialis · Konstantinos Fokianos · Marios Polycarpou

LSA: Layer-wise Sparsity Allocation for Large Language Model Pruning Based on Minimal Linear Reconstruction Error

Zhiguo Yang · Changjian Deng · Qinke Chen · Zijing Zhou · Jian Cheng

LS-Merge: Merging Language Models in Latent Space

Bedionita Soro · Aoxuan Zhang · Bruno Andreis · Jaehyeong Jo · Song Chong · Sung Ju Hwang

LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration

Alessio Spagnoletti · Andres Almansa · Marcelo Pereyra

MAC-AMP: A Closed-Loop Multi-Agent Collaboration System for Multi-Objective Antimicrobial Peptide Design

Gen Zhou · Sugitha Janarthanan · Lianghong Chen · Pingzhao Hu

Machine Unlearning under Retain–Forget Entanglement

JINGPU CHENG · Ping Liu · Qianxiao Li · CHI ZHANG

MAGO: Beyond Fixed Hyperparameters with Multi-Objective Pareto Optimization for Hybrid LLM Reasoning

Xuanze Zhao · Hongcheng Ding · Ruiting Deng · LIU QINGYU · Deshinta Dewi · Shamsul Abdullah

Mango-GS: Enhancing Spatio-Temporal Consistency in Dynamic Scenes Reconstruction using Multi-Frame Node-Guided 4D Gaussian Splatting

Tingxuan Huang · Haowei Zhu · Jun-Hai Yong · Hao Pan · Bin Wang

MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer

Yanghao Li · Rui Qian · Bowen Pan · Haotian Zhang · Haoshuo Huang · Bowen Zhang · Jialing Tong · Haoxuan You · Xianzhi Du · Zhe Gan · Hyunjik Kim · Chao Jia · Zhenbang Wang · Yinfei Yang · Mingfei Gao · Zi-Yi Dou · Wenze Hu · Chang Gao · Dongxu Li · Philipp Dufter · Zirui Wang · Guoli Yin · Zhengdong Zhang · Chen Chen · Yang Zhao · Ruoming Pang · Zhifeng Chen

Mapping Post-Training Forgetting in Language Models at Scale

Jackson Harmon · Andreas Hochlehnert · Matthias Bethge · Ameya Prabhu

Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs

Minji Kim · Taekyung Kim · Bohyung Han

MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models

Kacper Kapusniak · Cristian Gabellini · Michael Bronstein · Prudencio Tossou · Francesco Di Giovanni

MaRS: Memory-Adaptive Routing for Reliable Capacity Expansion and Knowledge Retention

Gang Yan

MARS-Sep: Multimodal-Aligned Reinforced Sound Separation

Zihan Zhang · Xize Cheng · Zhennan Jiang · Dongjie Fu · Jingyuan Chen · Zhou Zhao · Tao Jin

Masked Generative Policy for Robotic Control

Lipeng Zhuang · Shiyu Fan · Florent P Audonnet · Yingdong Ru · Edmond S. L. Ho · Gerardo Aragon-Camarasa · Paul Henderson

MaskInversion: Localized Embeddings via Optimization of Explainability Maps

Walid Bousselham · Sofian Chaybouti · Christian Rupprecht · Vittorio Ferrari · Hilde Kuehne

Mastering Sparse CUDA Generation through Pretrained Models and Deep Reinforcement Learning

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

MathNet: A Global Multimodal Benchmark for Mathematical Reasoning and Retrieval

Shaden Alshammari · Kevin Wen · Abrar Zainal · Mark Hamilton · Navid Safaei · Albarakati · William Freeman · Antonio Torralba

Maximizing Incremental Information Entropy for Contrastive Learning

Jiansong Zhang · Zhuoqin Yang · Xu Wu · Xiaoling Luo · Peizhong Liu · Linlin Shen

MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use

Zijian Wu · Xiangyan Liu · xinyuan zhang · Lingjun Chen · Fanqing Meng · Lingxiao Du · Yiran Zhao · Fanshi Zhang · Yaoqi Ye · Jiawei Wang · Zirui Wang · Jinjie Ni · Yufan Yang · Arvin Xu · Michael Qizhe Shieh

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

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

Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba

Donghyun Lee · Yuhang Li · Ruokai Yin · Shiting Xiao · Priyadarshini Panda

Membership Inference Attacks Against Fine-tuned Diffusion Language Models

Yuetian Chen · Kaiyuan Zhang · Yuntao Du · Edoardo Stoppa · Charles Fleming · Ashish Kundu · Bruno Ribeiro · Ninghui Li

Memory-Statistics Tradeoff in Continual Learning with Structural Regularization

Haoran Li · Jingfeng Wu · Vladimir Braverman

Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes

Bahti Zakirov · Gasper Tkacik

Meta-Router: Bridging Gold-standard and Preference-based Evaluations in LLM Routing

Yichi Zhang · Fangzheng Xie · Shu Yang · Chong Wu

MetaVLA: Unified Meta Co-Training for Efficient Embodied Adaptation

Chen Li · Zhantao Yang · Han Zhang · Fangyi Chen · Chenchen Zhu · Anudeepsekhar Bolimera · Marios Savvides

MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models

Wenyuan Liu · Haoqian Meng · Yilun Luo · Peng Zhang · Xindian Ma

MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation

Rongsheng Wang · Minghao Wu · Hongru Zhou · Zhihan Yu · Zhenyang Cai · Junying Chen · Wang Benyou

MILCO: Learned Sparse Retrieval Across Languages via a Multilingual Connector

Thong Nguyen · Yibin Lei · Dylan JH Ju · Eugene Yang · Andrew Yates

MILPnet: A Multi-Scale Architecture with Geometric Feature Sequence Representations for Advancing MILP Problems

Ruobing Wang · Xin Li · Mingzhong Wang

MILR: Improving Multimodal Image Generation via Test-Time Latent Reasoning

Yapeng Mi · Henry Li · Yanpeng Zhao · Chenxi Li · Huimin Wu · Xiaojian Ma · Song-Chun Zhu · Yingnian Wu · Qing Li

MIMIC: Mask-Injected Manipulation Video Generation with Interaction Control

Tianxiao Chen · Jintao Rong · Huajin Chen · Jingya Wang · Tao Zhou · Qi Ye · Jiming Chen

MindMix: A Multimodal Foundation Model for Auditory Perception Decoding via Deep Neural-Acoustic Alignment

RUI LIU · Zhige Chen · Pengshu · Wenlong You · Zhi-An Huang · Jibin Wu · KC Tan

Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization

Chaewon Moon · Dongkuk Si · Chulhee Yun

Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains

Yunrui Guan · Krishna Balasubramanian · Shiqian Ma

Missingness Bias Calibration in Feature Attribution Explanations

Shailesh Sridhar · Anton Xue · Eric Wong

MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models

Fan Zhang · Zebang Cheng · Chong Deng · Haoxuan Li · Zheng Lian · Qian Chen · Huadai Liu · Wen Wang · YiFan Zhang · Renrui Zhang · Ziyu Guo · Zhihong Zhu · Hao Wu · Haixin Wang · Yefeng Zheng · Xiaojiang Peng · Xian Wu · Kun Wang · Xiangang Li · Jieping Ye · Pheng-Ann Heng

MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models

Wulin Xie · YiFan Zhang · Chaoyou Fu · Yang Shi · Jianshu Zeng · Bingyan Nie · Hongkai Chen · Zhang Zhang · Liang Wang

MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss

Yunhao Zhang · Wenyao Hu · Jiale Zheng · Lujia Pan · Junchi Yan

MOAI: Module-Optimizing Architecture for Non-Interactive Secure Transformer Inference

Linru Zhang · Xiangning Wang · Jun Jie Sim · Zhicong Huang · Jiahao Zhong · HUAXIONG WANG · Pu Duan · Kwok Yan Lam

MobileKGQA: On-Device KGQA System on Dynamic Mobile Environments

JUNYONG AHN · Hyeongrok Han · Bong Gyun Kang · Jisoo Mok · Byunghan Lee · Sungroh Yoon

Modality-free Graph In-context Alignment

Wei Zhuo · Siqiang Luo

Modeling Others' Minds as Code

Kunal Jha · Aydan Huang · Eric Ye · Natasha Jaques · Max Kleiman-Weiner

MoL: Adaptive Mixture-of-Length Reasoning for Efficient Question Answering with Context

Guocong Li · Jinjian Zhang · Ping Wang · Dongnan Liu · Tian Liang · Qiuyi Qi · Hao Huang · Siyan Guo · Mutian Bao · Wei Zhou · Linjian Mo · Hongxia Xu · JIAN Wu

MoM: Linear Sequence Modeling with Mixture-of-Memories

Jusen Du · Weigao Sun · Disen Lan · Jiaxi Hu · Zhang Tao · Yu Cheng

Monotone Near-Zero-Sum Games

Ruichen Luo · Sebastian Stich · Krishnendu Chatterjee

MoRA: Missing Modality Low-Rank Adaptation for Visual Recognition

Shu Zhao · Nilesh Ahuja · Tan Yu · Tianyi Shen · Vijaykrishnan Narayanan

MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes

Yu Ying Chiu · Michael Lee · Rachel Calcott · Brandon Handoko · Paul de Font-Reaulx · Paula Rodriguez · Chen Bo Calvin Zhang · Ziwen Han · Udari Sehwag · Yash Maurya · Christina Knight · Harry Lloyd · Florence Bacus · Mantas Mazeika · Bing Liu · Yejin Choi · Mitchell Gordon · Sydney Levine

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement

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

MoSA: Motion-Coherent Human Video Generation via Structure-Appearance Decoupling

Haoyu Wang · Hao Tang · Donglin Di · Zhilu Zhang · Wangmeng Zuo · Feng Gao · Siwei Ma · Shiliang Zhang

MTVCraft: Tokenizing 4D Motion for Arbitrary Character Animation

Yanbo Ding · Xirui Hu · Guo Zhi · Yan Zhang · Xinrui Wang · Zhixiang He · Chi Zhang · Yali Wang · Xuelong Li

Multi-Action Self-Improvement For Neural Combinatorial Optimization

Laurin Luttmann · Lin Xie

Multi-Armed Bandits with Minimum Aggregated Revenue Constraints

Ahmed Ben Yahmed · Hafedh Ferchichi · Marc Abeille · Vianney Perchet

Multi-Domain Transferable Graph Gluing for Building Graph Foundation Models

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

Multilingual Routing in Mixture-of-Experts

Lucas Bandarkar · Chenyuan Yang · Mohsen Fayyaz · Junlin Hu · Nanyun (Violet) Peng

MultiMat: Multimodal Program Synthesis for Procedural Materials using Large Multimodal Models

Jonas Belouadi · Tamy Boubekeur · Adrien Kaiser

Multimodal Dataset Distillation via Phased Teacher Models

Shengbin Guo · Hang Zhao · Senqiao Yang · Chenyang Jiang · Yuhang Cheng · Xiangru Peng · Rui Shao · Zhuotao Tian

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs

Yumin Choi · Dongki Kim · Jinheon Baek · Sung Ju Hwang

Multi-objective Large Language Model Alignment with Hierarchical Experts

Zhuo Li · Guodong DU · Weiyang Guo · Yigeng Zhou · Xiucheng Li · Wenya Wang · Fangming Liu · Yequan Wang · Deheng Ye · Min Zhang · Jing Li

Muon Outperforms Adam in Tail-End Associative Memory Learning

Shuche Wang · Fengzhuo Zhang · Jiaxiang Li · Cunxiao Du · Chao Du · Tianyu Pang · Zhuoran Yang · Mingyi Hong · Vincent Tan

NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks

Junliang Ye · Shenghao Xie · Ruowen Zhao · Zhengyi Wang · Hongyu Yan · Wenqiang Zu · Lei Ma · Jun Zhu

NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation

Xiaokun Feng · Haiming Yu · Meiqi Wu · Shiyu Hu · Jintao Chen · Chen Zhu · Jiahong Wu · Xiangxiang Chu · Kaiqi Huang

Narrow Finetuning Leaves Clearly Readable Traces in the Activation Differences

Julian Minder · Clément Dumas · Stewart Slocum · Helena Casademunt · Cameron Holmes · Robert West · Neel Nanda

Navigating the Manifold — A Geometric Perspective on Diffusion-Based Inverse Problems

Anbu Huang

Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information

Nina Balcan · Martino Bernasconi · Matteo Castiglioni · Andrea Celli · Keegan Harris · Steven Wu

Near Optimal Robust Federated Learning Against Data Poisoning Attack

Jingfan Yu · Zhixuan Fang

Neon: Negative Extrapolation From Self-Training Improves Image Generation

sina alemohammad · Zhangyang Wang · Richard Baraniuk

NetArena: Dynamically Generated LLM Benchmarks for Network Applications

Yajie Zhou · Jiajun Ruan · Eric Wang · Sadjad Fouladi · Francis Yan · Tsuwang Hsieh · Zaoxing Liu

Neural Dynamics Self-Attention for Spiking Transformers

Dehao Zhang · Fukai Guo · Shuai Wang · Jingya Wang · Jieyuan Zhang · Yimeng Shan · Malu Zhang · Yang Yang · Haizhou Li

Neural Force Field: Few-shot Learning of Generalized Physical Reasoning

Shiqian Li · Ruihong Shen · Yaoyu Tao · Chi Zhang · Yixin Zhu

Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction

Shilong Tao · Zhe Feng · Shaohan Chen · Weichen Zhang · Zhanxing Zhu · Yunhuai Liu

Never Saddle: Reparameterized Steepest Descent as Mirror Flow

Tom Jacobs · Chao Zhou · Rebekka Burkholz

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization

Xiaoyan Zhao · Juntao Jun · Yang Zhang · Wenjie Wang · Hong Cheng · Fuli Feng · See-Kiong Ng · Tat-Seng Chua

Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning

Setthakorn Tanomkiattikun · ZAIWANG GU · Liangli Zhen · Yingzhi Xia

NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models

Nir Goren · Oren Katzir · Abhinav Nakarmi · Eyal Ronen · Mahmood Sharif · Or Patashnik

``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum Likelihood

Peiyu Yu · Dinghuai Zhang · Hengzhi He · Xiaojian Ma · Sirui Xie · RUIYAO MIAO · Yifan Lu · Yasi Zhang · Deqian Kong · Ruiqi Gao · Jianwen Xie · Guang Cheng · Yingnian Wu

No labels, No Problem: Training Visual Reasoners with Multimodal Verifiers

Damiano Marsili · Georgia Gkioxari

Non-Autoregressive Generation for Agentic Multi-Turn Interaction

Xingshan Zeng · Weiwen Liu · Lingzhi Wang · Liangyou Li · Fei Mi · Yasheng Wang · Lifeng Shang · Xin Jiang · Qun Liu

Nonparametric Teaching of Attention Learners

Chen Zhang · Jianghui Wang · Bingyang Cheng · Zhongtao Chen · Wendong XU · Cong Wang · Marco Canini · Francesco Orabona · Yik-Chung WU · Ngai Wong

No, of Course I Can! Deeper Fine-Tuning Attacks That Bypass Token-Level Safety Mechanisms

Joshua Kazdan · Abhay Puri · Rylan Schaeffer · Lisa Yu · Chris Cundy · Jason Stanley · Sanmi Koyejo · Krishnamurthy Dvijotham

No outlier channels but with outlier blocks

Shanwen Mao · Hao Zhang · Jiasheng Li · Haoyu Qiao · Chenxin Cai · Tingting Wu · Jie Liu

Nudging the Boundaries of LLM Reasoning

Justin Chen · XIANGYU PENG · Prafulla Kumar Choubey · Kung-Hsiang Huang · Jiaxin Zhang · Mohit Bansal · Chien-Sheng Wu

Obfuscated Activations Bypass LLM Latent-Space Defenses

Luke Bailey · Alex Serrano · Abhay Sheshadri · Mikhail Seleznyov · Jordan Taylor · Erik Jenner · Jacob Hilton · Stephen Casper · Carlos Guestrin · Scott Emmons

OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot

Junhan Zhu · Hesong Wang · Mingluo Su · Zefang Wang · Huan Wang

Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies

Koichi Tanaka · Kazuki Kawamura · Takanori Muroi · Yusuke Narita · Yuki Sasamoto · Kei Tateno · Takuma Udagawa · Wei-Wei Du · Yuta Saito

OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis

Tianwei Lin · Zhongwei Qiu · Wenqiao Zhang · Jiang Liu · Yihan Xie · Mingjian Gao · Zhenxuan Fan · Zhaocheng Li · Sijing Li · Zhongle Xie · Peng LU · Yueting Zhuang · Yingda Xia · Ling Zhang · Beng Chin Ooi

OmniCVR: A Benchmark for Omni-Composed Video Retrieval with Vision, Audio, and Text

Junyang Ji · Shengjun Zhang · Da Li · Yuxiao Luo · Yan Wang · Di Xu · Biao Yang · Wei Yuan · Fan Yang · Zhihai He · Wenming Yang

Omni-IML: Towards Unified Interpretable Image Manipulation Localization

Chenfan Qu · Yiwu Zhong · Fengjun Guo · Lianwen Jin

Omni-Weather: Unified Multimodal Foundation Model for Weather Generation and Understanding

Zhiwang Zhou · Yuandong Pu · Xuming He · Yidi Liu · Yixin Chen · Junchao Gong · Xiang Zhuang · Wanghan Xu · Qinglong Cao · SHIXIANG TANG · Yihao Liu · Wenlong Zhang · LEI BAI

One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single Image

Pengfei Wang · Liyi Chen · Zhiyuan Ma · Yanjun Guo · Guowen Zhang · Lei Zhang

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

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

Online Black-Box Prompt Optimization with Regret Guarantees under Noisy Feedback

Jinjie Fang · Runwen You · Wanli Shi · Wenkang Wang · Ganyu Wang · Haozhen Zhang · Bin Gu · Yi Chang

Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits

Federico Cinus · Yuko Kuroki · Atsushi Miyauchi · Francesco Bonchi

Online Navigation Refinement: Achieving Lane-Level Guidance by Associating Standard-Definition and Online Perception Maps

JIAXU WAN · Xu Wang · Mengwei Xie · Xinyuan Chang · Xinran Liu · Zheng Pan · Mu Xu · Hong Zhang · Ding Yuan · Yifan Yang

Online Selective Conformal Inference: Errors and Solutions

Yusuf Sale · Aaditya Ramdas

On Optimal Hyperparameters for Differentially Private Deep Transfer Learning

Aki Rehn · Linzh Zhao · Mikko Heikkilä · Antti Honkela

On the $O(1/T)$ Convergence of Alternating Gradient Descent–Ascent in Bilinear Games

Tianlong Nan · Shuvomoy Das Gupta · Garud Iyengar · Christian Kroer

On the Benefits of Weight Normalization for Overparameterized Matrix Sensing

Yudong Wei · Liang Zhang · Bingcong Li · Niao He

On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime

Shuai Jiang · Eric Cyr · Ben Southworth · Alexey Voronin

On the Design of One-step Diffusion via Shortcutting Flow Paths

Haitao Lin · Peiyan Hu · Minsi Ren · Zhifeng Gao · Zhi-Ming Ma · Guolin Ke · Tailin Wu · Stan Z Li

On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional Study

Shuai Yang · Qi Yang · Luoxi Tang · Yuqiao Meng · Nancy Guo · Jeremy Blackburn · Zhaohan Xi

On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment

Sarah Ball · Greg Gluch · Shafi Goldwasser · Frauke Kreuter · Omer Reingold · Guy Rothblum

On the Interaction of Compressibility and Adversarial Robustness

Melih Barsbey · Antônio Ribeiro · Umut Simsekli · Tolga Birdal

On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for Sets

Giannis Nikolentzos · Konstantinos Skianis

On the stability of gradient descent with second order dynamics for time-varying cost functions

Travis E Gibson · Sawal Acharya · Anjali Parashar · Joseph Emilio Gaudio · Anuradha Annaswamy

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

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

On the Theoretical Limitations of Embedding-Based Retrieval

Orion Weller · Michael Boratko · Iftekhar Naim · Jinhyuk Lee

On the Wasserstein Geodesic Principal Component Analysis of probability measures

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

On Universality of Deep Equivariant Networks

Marco Pacini · Mircea Petrache · Bruno Lepri · Shubhendu Trivedi · Robin Walters

OpenFly: A COMPREHENSIVE PLATFORM FOR AERIAL VISION-LANGUAGE NAVIGATION

Yunpeng Gao · Chenhui Li · Zhongrui You · Junli Liu · Li Zhen · Pengan CHEN · Qizhi Chen · Zhonghan Tang · Liansheng Wang · Yangpenghui · Yiwen Tang · Yuhang Tang · Shuai Liang · Songyi Zhu · Ziqin Xiong · Yifei Su · Xinyi Ye · Jianan Li · Yan Ding · Dong Wang · Zhigang Wang · Bin Zhao · Xuelong Li

Optimal Aggregation of LLM and PRM Signals for Efficient Test-Time Scaling

Peng Kuang · Yanli Wang · Xiaoyu Han · Yaowenqi Liu · Kaidi Xu · Haohan Wang

Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs

Hang Guo · Luca Benini · Yawei Li

Optimal Robust Subsidy Policies for Irrational Agent in Principal-Agent MDPs

Bowen Hu · Yixin Tao

Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards

Shirley Wu · Parth Sarthi · Shiyu Zhao · Aaron Lee · Herumb Shandilya · Adrian Mladenic Grobelnik · Nurendra Choudhary · Edward Huang · Karthik Subbian · Linjun Zhang · Diyi Yang · James Y Zou · Jure Leskovec

Oracle-efficient Hybrid Learning with Constrained Adversaries

Princewill Okoroafor · Robert Kleinberg · Michael Kim

Orbital Transformers for Predicting Wavefunctions in Time-Dependent Density Functional Theory

Xuan Zhang · Haiyang Yu · Chengdong Wang · Jacob Helwig · Xiaofeng Qian · Shuiwang Ji

OrthoSolver: A Neural Proper Orthogonal Decomposition Solver For PDEs

Ying Pang · Jingyuan Wang · Jiahao Ji · Fanhao Mu

Otters: An Energy-Efficient Spiking Transformer via Optical Time-to-First-Spike Encoding

Zhanglu Yan · Jiayi Mao · Qianhui Liu · Fanfan Li · Tao Luo · Gang Pan · Bowen Zhu · Weng-Fai Wong

Out of the Shadows: Exploring a Latent Space for Neural Network Verification

Lukas Koller · Tobias Ladner · Matthias Althoff

Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation

Valentyn Melnychuk · Dennis Frauen · Jonas Schweisthal · Stefan Feuerriegel

Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling

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

OWLEYE: ZERO-SHOT LEARNER FOR CROSSDOMAIN GRAPH DATA ANOMALY DETECTION

Lecheng Zheng · Dongqi Fu · Zihao Li · Jingrui He

PAC-Bayes bounds for cumulative loss in Continual Learning

Lior Friedman · Ron Meir

PACE: Pretrained Audio Continual Learning

Chang Li · Kanglei Zhou · Liyuan Wang

PAMDP: Interact to Persona Alignment via a Partially Observable Markov Decision Process

ZHE YANG · Yi Huang · Si Chen · Xiaoting Wu · Jingyu Yao · Junlan Feng

Paper Copilot: Tracking the Evolution of Peer Review in AI Conferences

Jing Yang · Qiyao Wei · Jiaxin Pei

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs

Wonjun Kang · Kevin Galim · Seunghyuk Oh · Minjae Lee · Yuchen Zeng · Shuibai Zhang · Coleman Hooper · Yuezhou Hu · Hyung Koo · Nam Ik Cho · Kangwook Lee

Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments

Junwoo Chang · Minwoo Park · Joohwan Seo · Roberto Horowitz · Jongmin Lee · Jongeun Choi

PAT3D: Physics-Augmented Text-to-3D Scene Generation

Guying Lin · Kemeng Huang · Michael Liu · Ruihan Gao · Hanke Chen · Lyuhao Chen · Beijia Lu · Taku Komura · Yuan Liu · Jun-Yan Zhu · Minchen Li

PD$^{2}$GS: Part-Level Decoupling and Continuous Deformation of Articulated Objects via Gaussian Splatting

Haowen Wang · Xiaoping Yuan · Zhao Jin · Zhen Zhao · Zhengping Che · Yousong Xue · Jing Tian · Yakun Huang · Jian Tang

Peak-Return Greedy Slicing: Subtrajectory Selection for Transformer-based Offline RL

Zhiwei XU · Miduo Cui · Dapeng Li · Zhihao Liu · Haifeng Zhang · Hangyu Mao · Guoliang Fan · Bin Zhang

PEAR: Phase Entropy Aware Reward for Efficient Reasoning

Chen Huang · Wei Lu · Wenxuan Zhang

PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text

TIANYUAN ZOU · Zinan Lin · Sivakanth Gopi · Yang Liu · Ya-Qin Zhang · Robert Sim · Xin Deng · Sergey Yekhanin

Phantom-Data: Towards a General Subject-Consistent Video Generation Dataset

Zhuowei Chen · Bingchuan Li · Tianxiang Ma · Lijie Liu · Mingcong Liu · Yunsheng Jiang · Li · Xinghui Li · Liyang Chen · SiYu Zhou · Qian HE · Xinglong Wu

PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Generation

Yian Wang · Han Yang · Minghao Guo · Xiaowen Qiu · Johnson (Tsun-Hsuan) Wang · Wojciech Matusik · Joshua B Tenenbaum · Chuang Gan

Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems

Jan Tauberschmidt · Sophie Fellenz · Sebastian Vollmer · Andrew Duncan

PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection

Junseo Hwang · Wonguk Cho · Taesup Kim

Pi-CCA: Prompt-Invariant CCA Certificates for Replay-Free Vision–Language Continual Learning

Jiayu Zhang · Chuangxin Zhao · Ruibo Duan · Canran Xiao · Wenyi Mo · Haoyu Gao · Wenshuo Wang

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

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

PixNerd: Pixel Neural Field Diffusion

Shuai Wang · Ziteng Gao · Chenhui Zhu · Weilin Huang · Limin Wang

PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment

Qi Yu · Zhichen Zeng · Yuchen Yan · Zhining Liu · Baoyu Jing · Ruizhong Qiu · Ariful Azad · Hanghang Tong

POEMetric: The Last Stanza of Humanity

Bingru Li · Han Wang · Hazel Wilkinson

Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation

Ziyu Wang · SHUANGPENG HAN · Mengmi Zhang

Pose-RFT: Aligning MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-Tuning

Bao Li · Xiaomei Zhang · Miao Xu · Zhaoxin Fan · Xiangyu Zhu · Zhen Lei

Positional Preservation Embedding for Multimodal Large Language Models

Mouxiao Huang · Borui Jiang · Dehua Zheng · Hailin Hu · Kai Han · Xinghao Chen

PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs

Yixuan Wu · Yang Zhang · JIAN Wu · Philip Torr · Jindong Gu

Predicting LLM Reasoning Performance with Small Proxy Model

Woosung Koh · Juyoung Suk · Sungjun Han · Se-Young Yun · Jay Shin

Prediction with Expert Advice under Local Differential Privacy

Ben Jacobsen · Kassem Fawaz

Preference-based Policy Optimization from Sparse-reward Offline Dataset

Wenjie Qiu · Guofeng Cui · Shicheng Liu · Yuanlin Duan · He Zhu

Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning

Dexia Chen · Qianjie Zhu · Weibing Li · Yue Yu · Tong Zhang · Ruixuan Wang

Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning

Kazuki Yano · Shun Kiyono · Sosuke Kobayashi · Sho Takase · Jun Suzuki

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

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

Pretrain–Test Task Alignment Governs Generalization in In-Context Learning

Mary Letey · Jacob Zavatone-Veth · Yue Lu · Cengiz Pehlevan

Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters

Zonghang Li · Tao Li · Wenjiao Feng · Rongxing Xiao · Jianshu She · Hong Huang · Mohsen Guizani · Hongfang Yu · Qirong Ho · Wei Xiang · Xue Liu

Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective

Jingyang Ou · Jiaqi Han · Minkai Xu · Shaoxuan Xu · Jianwen Xie · Stefano Ermon · Yi Wu · Chongxuan Li

PRISM: Festina Lente Proactivity—Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents

Yuxuan Fu · Xiaoyu Tan · Teqi Hao · Chen Zhan · Xihe Qiu

PRISM: Progressive Robust Learning for Open-World Continual Category Discovery

Wei Feng · Sijin Zhou · Yiwen Jiang · Zongyuan Ge

PRISON: Unmasking the Criminal Potential of Large Language Models

Xinyi Wu · Geng Hong · Pei Chen · Yueyue Chen · Xudong Pan · Min Yang

Process-Verified Reinforcement Learning for Theorem Proving via Lean

Minsu Kim · Se-Young Yun

PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach

Udari Sehwag · Shayan Shabihi · Alex McAvoy · Vikash Sehwag · Yuancheng Xu · Dalton towers · Furong Huang

Proper Velocity Neural Networks

Ziheng Chen · Zihan Su · Bernhard Schölkopf · Nicu Sebe

ProSafePrune: Projected Safety Pruning for Mitigating Over-Refusal in LLMs

Zijun Chen · Wenbo Hu · Ya Li · Lei Miao · Guoping Hu · Richang Hong

PROS: Towards Compute-Efficient RLVR via Rollout Prefix Reuse

Baizhou Huang · Xiaojun Wan

Provable Guarantees for Automated Circuit Discovery in Mechanistic Interpretability

Itamar Hadad · Guy Katz · Shahaf Bassan

Prune-then-Quantize or Quantize-then-Prune? Understanding the Impact of Compression Order in Joint Model Compression

Minjun Kim · Jaehyeon Choi · Hyunwoo Yang · Jongjin Kim · Jinho Song · U Kang

Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models

Xuan Ding · Pengyu Tong · Ranjie Duan · Yunjian Zhang · Rui Sun · Yao Zhu

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization

Bin Hong · Jiayu Liu · Kai Zhang · Jianwen Sun · Mengdi Zhang · Zhenya Huang

Pulp Motion: Framing-aware multimodal camera and human motion generation

Robin Courant · Xi WANG · David Loiseaux · Marc Christie · Vicky Kalogeiton

PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts

Hengzhi Li · Justin Zhang · Brendon Jiang · Alexander Naehu · Regan Song · Megan Tjandrasuwita · Chanakya Ekbote · Steven-Shine Chen · Adithya Balachandran · Wei Dai · Rebecca Chang · Paul Liang

Q-Learning with Adjoint Matching

Qiyang Li · Sergey Levine

QPrompt-R1: Real-Time Reasoning for Domain-Generalized Semantic Segmentation via Group-Relative Query Alignment

Fengyuan Lu · Zixuan Duan · Xunzhi Xiang · ZHICHENG ZHANG · Wenbin Li · Yang Gao · Qi Fan

Quantized Visual Geometry Grounded Transformer

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

QUEST: A robust attention formulation using query-modulated spherical attention

Hariprasath Govindarajan · Per Sidén · Jacob Roll · Fredrik Lindsten

QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models

Hyesung Jeon · Seojune Lee · Beomseok Kang · Yulhwa Kim · jae-joon kim

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

YiFan Zhang · Xingyu Lu · Xiao Hu · Chaoyou Fu · Bin Wen · Tianke Zhang · Changyi Liu · Kaiyu Jiang · Kaibing Chen · Kaiyu Tang · Haojie Ding · Jiankang Chen · Fan Yang · Zhang Zhang · Tingting Gao · Di ZHANG · Guorui Zhou · Liang Wang

R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability

Runyu Lu · Ruochuan Shi · Yuanheng Zhu · Dongbin Zhao

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

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

Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning

Ziwen Liu · Huawei Lin · Yide Ran · Denghui Zhang · Jianwen Xie · Chuan Li · Weijie Zhao · Zhaozhuo Xu

Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards

Haoran He · Yuxiao Ye · Qingpeng Cai · Chen Hu · Binxing Jiao · Daxin Jiang · Ling Pan

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

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

RAVEN: End-to-end Equivariant Robot Learning with RGB Cameras

David Klee · Boce Hu · Andrew Cole · Heng Tian · Dian Wang · Robert Platt · Robin Walters

ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance Generation

Jingzhong Lin · Xinru Li · Yuanyuan Qi · Bohao Zhang · Wenxiang Liu · Kecheng Tang · Wenxuan Huang · Xiangfeng Xu · Bangyan Li · Changbo Wang · Gaoqi He

Read the Room: Video Social Reasoning with Mental-Physical Causal Chains

Lixing Niu · Jiapeng Li · Xingping Yu · Xinyi Dong · Shu Wang · Ruining Feng · Bo Wu · Ping Wei · Yisen Wang · Lifeng Fan

Ready For General Agents? Let's test it.

Elron Bandel · Asaf Yehudai · Michal Shmueli-Scheuer

Reasoned Safety Alignment: Ensuring Jailbreak Defense via Answer-Then-Check

Chentao Cao · Xiaojun Xu · Bo Han · Hang Li

Reasoning in Space via Grounding in the World

Yiming Chen · Zekun Qi · Wenyao Zhang · Xin Jin · Li Zhang · Peidong Liu

Reasoning Language Model Inference Serving Unveiled: An Empirical Study

Qi Li · Junpan Wu · Xiang Liu · Yuxin Wang · Zeyu Li · Zhenheng Tang · Yuhan CHEN · Shaohuai Shi · Xiaowen Chu

RedacBench: Can AI Erase Your Secrets?

Hyunjun Jeon · Kyuyoung Kim · Jinwoo Shin

RefineBench: Evaluating Refinement Capability in Language Models

Young-Jun Lee · Seungone Kim · Byung-Kwan Lee · Minkyeong Moon · Yechan Hwang · Jong Myoung Kim · Graham Neubig · Sean Welleck · Ho-Jin Choi

RefineStat: Efficient Exploration for Probabilistic Program Synthesis

Madhav Kanda · Shubham Dipak Ugare · Sasa Misailovic

Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM

Rongjie Zhu · Cong Zhang · Zhiguang Cao

ReFocusEraser: Refocusing for Small Object Removal with Robust Context-Shadow Repair

Qingping Zheng · Bo Huang · Yang Liu · Haoyu Zhao · Ling Zheng · Zengmao Wang · Ying Li · Jiankang Deng

Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping

Zhenyu Lei · Qiong Wu · JIANXIONG DONG · Yinhan He · Emily Dodwell · Yushun Dong · Jundong Li

ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization

Guoxin Chen · Wu Jing · Xinjie Chen · Xin Zhao · Ruihua Song · Chengxi Li · Kai Fan · Dayiheng Liu · Minpeng Liao

ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding

Jia-Nan Li · Jian Guan · Wei Wu · Chongxuan Li

Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models

Pranaya Jajoo · Harshit Sikchi · Siddhant Agarwal · Amy Zhang · Scott Niekum · Martha White

Reinforced Latent Reasoning for LLM-based Recommendation

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

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Xumeng Wen · Zihan Liu · Shun Zheng · Shengyu Ye · Zhirong Wu · Yang Wang · Zhijian Xu · Xiao Liang · Junjie Li · Ziming Miao · Jiang Bian · Mao Yang

Reinforcing Diffusion Models by Direct Group Preference Optimization

Yihong Luo · Tianyang Hu · Jing Tang

ResearchRubrics: A Benchmark of Prompts and Rubrics For Deep Research Agents

Manasi Sharma · Chen Bo Calvin Zhang · Chaithanya Bandi · Ankit Aich · Huy Nghiem · Tahseen Rabbani · Ye Htet · Brian Jang · Aishwarya Balwani · Sumana Basu · Denis Peskoff · Clinton Wang · Marcos Ayestaran · Sean Hendryx · Bradley Kenstler · Bing Liu

Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement

Chenyu Lin · Yilin Wen · Du Su · Hexiang Tan · Fei Sun · Muhan Chen · Chenfu Bao · Zhonghou Lv

Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models

Yi Ding · Lijun Li · Bing Cao · Jing Shao

Retrospective Sparse Attention for Efficient Long-Context Generation

Seonghwan Choi · Beomseok Kang · Dongwon Jo · jae-joon kim

Revela: Dense Retriever Learning via Language Modeling

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

Revenue Maximization Under Sequential Price Competition Via The Estimation Of $s$-Concave Demand Functions

Daniele Bracale · Moulinath Banerjee · Yuekai Sun · Cong Shi

Revisiting Long-context Modeling from Context Denoising Perspective

Zecheng Tang · Ji Baibei · Juntao Li · Lijun Wu · Haijia Gui · Min Zhang

RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning

Sicheng Feng · Kaiwen TUO · Song Wang · Lingdong Kong · Jianke Zhu · Huan Wang

RF-DETR: Neural Architecture Search for Real-Time Detection Transformers

Isaac Robinson · Peter Robicheaux · Matvei Popov · Deva Ramanan · Neehar Peri

RigidSSL: Rigidity-based Geometric Pretraining for Protein Generation

Zhanghan Ni · Yanjing Li · Zeju Qiu · Bernhard Schölkopf · Hongyu Guo · Weiyang Liu · Shengchao Liu

RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems

Yuxiao Qu · Anikait Singh · Yoonho Lee · Amrith Setlur · Russ Salakhutdinov · Chelsea Finn · Aviral Kumar

RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents

Zijing Zhang · Ziyang Chen · Mingxiao Li · Zhaopeng Tu · Xiaolong Li

RoboInter: A Holistic Intermediate Representation Suite Towards Robotic Manipulation

Hao Li · ziqin wang · Zi-han Ding · Shuai Yang · Yilun Chen · Yang Tian · Xiaolin Hu · Tai Wang · Dahua Lin · Feng Zhao · Si Liu · Jiangmiao Pang

Robust Reward Modeling via Causal Rubrics

Pragya Srivastava · Harman Singh · Rahul Madhavan · Gandharv Patil · Sravanti Addepalli · Arun Suggala · Rengarajan Aravamudhan · Soumya Sharma · Anirban Laha · Aravindan Raghuveer · Karthikeyan Shanmugam · Doina Precup

Robust Selective Activation with Randomized Temporal K-Winner-Take-All in Spiking Neural Networks for Continual Learning

Jiangrong Shen · Liang Zhao · Qi Xu · Yuqi Yang · Liangjun Chen · Gang Pan · Badong Chen

Robust Spiking Neural Networks Against Adversarial Attacks

Shuai Wang · Malu Zhang · Yulin Jiang · Dehao Zhang · Ammar Belatreche · Yu Liang · Yimeng Shan · Zijian Zhou · Yang Yang · Haizhou Li

RoRE: Rotary Ray Embedding for Generalised Multi-Modal Scene Understanding

Ryan Griffiths · Donald Dansereau

RPM: Reasoning-Level Personalization for Black-Box Large Language Models

Jieyong Kim · Tongyoung Kim · SooJin Yoon · Jaehyung Kim · Dongha Lee

R-Zero: Self-Evolving Reasoning LLM from Zero Data

Chengsong Huang · Wenhao Yu · Xiaoyang Wang · Hongming Zhang · Zongxia Li · Ruosen Li · Jiaxin Huang · Haitao Mi · Dong Yu

Saddle-to-Saddle Dynamics Explains A Simplicity Bias Across Architectures

Yedi Zhang · Andrew Saxe · Peter Latham

SAE as a Crystal Ball: Interpretable Features Predict Cross-domain Transferability of LLMs without Training

Qi Zhang · Yifei Wang · Xiaohan Wang · Jiajun Chai · Guojun Yin · Wei Lin · Yisen Wang

SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network

Huijing Zhang · Muyang Cao · Linshan Jiang · Xin Du · Di Yu · Changze Lv · Shuiguang Deng

Safe Exploration via Policy Priors

Manuel Wendl · Yarden As · Manish Prajapat · Anton Pollak · Stelian Coros · Andreas Krause

Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance

Jiawen Zhang · Lipeng He · Kejia Chen · Jian Lou · Jian Liu · Xiaohu Yang · Ruoxi Jia

Same Content, Different Representations: A Controlled Study for Table QA

Yue Zhang · Seiji Maekawa · Nikita Bhutani

Sample Complexity and Representation Ability of Test-time Scaling Paradigms

Baihe Huang · Shanda Li · Tianhao Wu · Yiming Yang · Ameet Talwalkar · Kannan Ramchandran · Michael Jordan · Jiantao Jiao

Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction

Zain Ulabedeen Farhat · Debamita Ghosh · George Atia · Yue Wang

Sample-efficient evidence estimation of score based priors for model selection

Frederic Wang · Katherine Bouman

Sample Efficient Offline RL via T-Symmetry Enforced Latent State-Stitching

Peng Cheng · Zhihao Wu · Jianxiong Li · Ziteng He · Haoran Xu · Wei Sun · Youfang Lin · Yunxin Liu · Xianyuan Zhan

SAQ: Stabilizer-Aware Quantum Error Correction Decoder

David Zenati · Eliya Nachmani

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

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

Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning

Xichen Zhang · Sitong Wu · Yinghao Zhu · Haoru Tan · Shaozuo Yu · Ziyi He · Jiaya Jia

Scaling Agent Learning via Experience Synthesis

Zhaorun Chen · Zhuokai Zhao · Kai Zhang · Bo Liu · Qi Qi · Yifan Wu · Tarun Kalluri · Xuefei Cao · Yuanhao Xiong · Haibo Tong · Huaxiu Yao · Hengduo Li · Jiacheng Zhu · Xian Li · Dawn Song · Bo Li · Jason E Weston · Dat Huynh

Scaling Laws for Diffusion Transformers

Zhengyang Liang · Hao He · Ceyuan Yang · Bo DAI

Scaling Synthetic Task Generation for Agents via Exploration

Ram Ramrakhya · Andrew Szot · Omar Attia · Bogdan Mazoure · Anh Nguyen · Yuhao Yang · Zhe Gan · Harsh Agrawal · Alexander Toshev

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

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

SceneCOT: Eliciting Chain-of-Thought Reasoning in 3D Scenes

Xiongkun Linghu · Jiangyong Huang · Ziyu Zhu · Baoxiong Jia · Siyuan Huang

SCOPED: Score–Curvature Out-of-distribution Proximity Evaluator for Diffusion

Brett Barkley · Preston Culbertson · David Fridovich-Keil

SCRAPL: Scattering Transform with Random Paths for Machine Learning

Christopher Mitcheltree · Vincent Lostanlen · Emmanouil Benetos · Mathieu Lagrange

Searching for Privacy Risks in LLM Agents via Simulation

Yanzhe Zhang · Diyi Yang

Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes

ZhiYuan Feng · Zhaolu Kang · Qijie Wang · Zhiying Du · Jiongrui Yan · Shubin Shi · Chengbo Yuan · Huizhi Liang · Yu Deng · Qixiu Li · Rushuai Yang · Ruichuan An · Leqi Zheng · Weijie Wang · Shuang Chen · Sicheng Xu · Yaobo Liang · Jiaolong Yang · Baining Guo

Seeing What’s Not There: Negation Understanding Needs More Than Training

Bhuvan Aggarwal · Amit More · Mudit Soni · Srinivasa Divakar Bhat

Self-Destructive Language Models

Yuhui Wang · Rongyi Zhu · Ting Wang

Self-Jailbreaking: Language Models Can Reason Themselves Out of Safety Alignment After Benign Reasoning Training

Zheng Xin Yong · Stephen Bach

SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?

Michael Kirchhof · Luca Füger · Adam Golinski · Eeshan Gunesh Dhekane · Arno Blaas · Seong Joon Oh · Sinead Williamson

SelvaBox: A high‑resolution dataset for tropical tree crown detection

Hugo Baudchon · Arthur Ouaknine · Martin Weiss · Mélisande Teng · Thomas Walla · Antoine Caron-Guay · Christopher Pal · Etienne Laliberté

Semantic-Aware Diffusion LLM Inference With Adaptive Block Size

Guanxi Lu · Hao (Mark) Chen · Yuto Karashima · Zhican Wang · Daichi Fujiki · Hongxiang Fan

Semantic-Enhanced Time-Series Forecasting via Large Language Models

Hao Liu · Zhang xiaoxing · Chun Yang · Xiaobin Zhu

SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation

Xingtong Ge · Xin Zhang · Tongda Xu · Yi Zhang · Xinjie Zhang · Yan Wang · Jun Zhang

Separable Neural Networks: Approximation Theory, NTK Regime, and Preconditioned Gradient Descent

Yisi Luo · Deyu Meng

SERE: Similarity-based Expert Re-routing for Efficient Batch Decoding in MoE Models

Juntong Wu · Jialiang Cheng · Fuyu Lv · Dan Ou · Li Yuan

Setting the Record Straight on Transformer Oversmoothing

Gbètondji J-S Dovonon · Michael Bronstein · Matt J. Kusner

SGD with Adaptive Preconditioning: Unified Analysis and Momentum Acceleration

Dmitry Kovalev

SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense

Yiyang Huang · Liang Shi · Yitian Zhang · Yi Xu · Yun Fu

Short Window Attention Enables Long-Term Memorization

LOIC CABANNES · Maximilian Beck · Maria Lomeli · Gergely Szilvasy · Matthijs Douze · Jade Copet · Pierre-Emmanuel Mazare · Gabriel Synnaeve · Herve Jegou

SIGMA-GEN: STRUCTURE AND IDENTITY GUIDED MULTI-SUBJECT ASSEMBLY FOR IMAGE GENERATION

Oindrila Saha · Vojtech Krs · Radomir Mech · Subhransu Maji · Kevin Blackburn-Matzen · Matheus Gadelha

Signal Structure-Aware Gaussian Splatting for Large-Scale Scene Reconstruction

Weiyi Xue · Fan Lu · Chi Zhang · Tianhang Wang · Sanqing Qu · Zehan Zheng · Boyuan Zheng · Junqiao Zhao · Guang Chen

Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems

Yuhao Wang · Wenjie Qu · Shengfang ZHAI · Yanze Jiang · Liu Zichen · Yue Liu · Yinpeng Dong · Jiaheng Zhang

Similarity-aware Non-Convex Federated Optimization

Xiaowen Jiang · Anton Rodomanov · Sebastian Stich

SimpleFold: Folding Proteins is Simpler than You Think

Yuyang Wang · Jiarui Lu · Navdeep Jaitly · Joshua Susskind · MIGUEL ANGEL BAUTISTA

Singleton-Optimized Conformal Prediction

Tao Wang · Yan Sun · Edgar Dobriban

SinkTrack: Attention Sink based Context Anchoring for Large Language Models

Xu Liu · Guikun Chen · Wenguan Wang

SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models

RUIYANG ZHANG · Dongzhan Zhou · Zhedong Zheng

SMAN-Bench: A Cross-System Benchmark for Mobile Agents under Single- and Multi-path, Ambiguous, and Noisy Tasks

Weikai Xu · Zhizheng Jiang · Yuxuan Liu · Pengzhi Gao · WEI LIU · Jian Luan · Yunxin Liu · Yuanchun Li · Bin Wang · Bo An

SMOTE and Mirrors: Exposing Privacy Leakage from Synthetic Minority Oversampling

Georgi Ganev · MohammadReza Nazari · Rees Davison · Amirhassan Dizche · XINMIN WU · Ralph Abbey · Jorge Silva · Emiliano De Cristofaro

Solving the 2-norm k-hyperplane clustering problem via multi-norm formulations

Stefano Coniglio

SONIC: Spectral Oriented Neural Invariant Convolutions

Gijs Moens · Regina Beets-Tan · Eduardo Pooch

SpaCE-Eval: A Benchmark for Real-World Multi-Modal Reasoning

Xuyou Yang · Yucheng Zhao · Wenxuan Zhang · Immanuel Koh

Sparkle: A Robust and Versatile Representation for Point Cloud-based Human Motion Capture

YIMING REN · YUJING SUN · Aoru Xue · Kwok Yan Lam · Yuexin Ma

Sparse CLIP: Co-Optimizing Interpretability and Performance in Contrastive Learning

Chuan Qin · Constantin Venhoff · Sonia Joseph · Fanyi Xiao · Stefan Scherer

SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization

Taolin Zhang · Hang Guo · Wang Lu · Tao Dai · Shu-Tao Xia · Jindong Wang

Spatial-DISE: A Unified Benchmark for Evaluating Spatial Reasoning in Vision-Language Models

Xinmiao Huang · Qisong He · Zhenglin Huang · Boxuan Wang · Zhuoyun Li · Guangliang Cheng · Yi Dong · Xiaowei Huang

Spatially Guided Training for Vision-Language-Action Model

Jinhui Ye · Fangjing Wang · Ning Gao · Junqiu Yu · Yangkun Zhu · Bin Wang · Jinyu Zhang · Weiyang Jin · Yanwei Fu · Feng Zheng · Yilun Chen · Jiangmiao Pang

Spatially Informed Autoencoders for Interpretable Visual Representation Learning

Dominik Sturm · Hiba Bensalem · Ivo Sbalzarini

Spatial Structure and Selective Text Jointly Facilitate Image Clustering

Feijiang Li · Zizheng Jiu · Jieting Wang · Yuhua Qian · Lu Chen

SpeechJudge: Towards Human-Level Judgment for Speech Naturalness

Xueyao Zhang · Chaoren Wang · Huan Liao · Ziniu Li · Yuancheng Wang · Li Wang · Dongya Jia · Yuanzhe Chen · Xiulin LI · Zhuo Chen · Zhizheng Wu

Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences

Dmitrii Korzh · Dmitrii Tarasov · Artyom Iudin · Elvir Karimov · Matvey Skripkin · Nikita Kuzmin · Andrey Kuznetsov · Oleg Rogov · Ivan Oseledets

SPICE: Submodular Penalized Information–Conflict Selection for Efficient Large Language Model Training

Powei Chang · Jinpeng Zhang · Bowen Chen · Chenyu Wang · Chenlu Guo · Yixing Zhang · Yukang Gao · JianXiang Xiang · Yue Gao · Chaoqun Sun · Yiyi Chen · Dongying kong

SpikePingpong: Spike Vision-based Fast-Slow Pingpong Robot System

Hao Wang · Chengkai Hou · Xianglong Li · Yankai Fu · Chenxuan Li · Ning Chen · Gaole Dai · Jiaming Liu · Tiejun Huang · Shanghang Zhang

SPIKE-RL: Video-LLMs meet Bayesian Surprise

Sahithya Ravi · Aditya Chinchure · Raymond Ng · Leonid Sigal · Vered Shwartz

SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams

Zhuoheng Gao · Yihao Li · Jiyao Zhang · Rui Zhao · Tong Wu · Hao Tang · Zhaofei Yu · Hao Dong · Guozhang Chen · Tiejun Huang

Splat and Distill: Augmenting Teachers with Feed-Forward 3D Reconstruction For 3D-Aware Distillation

David Shavin · Sagie Benaim

Squeeze the Soaked Sponge: Efficient Off-policy RFT for Large Language Model

Jing Liang · Hongyao Tang · Yi Ma · Jinyi Liu · YAN ZHENG · Shuyue Hu · LEI BAI · Jianye HAO

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow

Jufang Duan · Shenglong Xiao · Yuren Zhang

SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation

Youngwoo Shin · jiwan hur · Junmo Kim

Stacked from One: Multi-Scale Self-Injection for Context Window Extension

Wei Han · Pan Zhou · Shuicheng YAN

STARK: Strategic Team of Agents for Refining Kernels

Juncheng Dong · Yang Yang · Tao Liu · Yang Wang · Feng Qi · VAHID TAROKH · Kaushik Rangadurai · Shuang Yang

STAR: Strategy-driven Automatic Jailbreak Red-teaming For Large Language Model

Jianing Liu · Qingming Li · Jiahao Chen · Rui Zeng · Binbin Zhao · Shouling Ji

station2radar: query‑conditioned gaussian splatting for precipitation field

Doyi Kim · Minseok Seo · Changick Kim

STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation

Zijin Liu · Xu Geng · Wenshuai Xu · Xiang Zhao · Yan Xia · You Song

Steering MoE LLMs via Expert (De)Activation

Mohsen Fayyaz · Seyed MohammadAli Modarressi · Hanieh Deilamsalehy · Franck Dernoncourt · Ryan Rossi · Trung Bui · Hinrich Schuetze · Nanyun (Violet) Peng

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

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

STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models

Cheng-Han Chiang · Xiaofei Wang · Linjie Li · Chung-Ching Lin · Kevin Lin · Shujie LIU · Zhendong Wang · Zhengyuan Yang · Hung-yi Lee · Lijuan Wang

Stochastic Neural Networks for Causal Inference with Missing Confounders

Yaxin Fang · Faming Liang

STORM: Synergistic Cross-Scale Spatio-Temporal Modeling for Weather Forecasting

Qihe Huang · Zhengyang Zhou · Yangze Li · Jiaming Ma · Kuo Yang · Binwu Wang · Xu Wang · Yang Wang

Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters

Danqing Wang · Zhuorui Ye · Xinran Zhao · Fei Fang · Lei Li

Strategic Scaling of Test-Time Compute: A Bandit Learning Approach

Bowen Zuo · Yinglun Zhu

StreamingVLM: Real-Time Understanding for Infinite Video Streams

Ruyi Xu · Guangxuan Xiao · Yukang Chen · Liuning He · Kelly Peng · Yao Lu · Song Han

Structure-Aware Graph Hypernetworks for Neural Program Synthesis

Wenhao Li · Yudong Xu · Elias Khalil · Scott Sanner

ST-SimDiff: Balancing Spatiotemporal Similarity and Difference for Efficient Video Understanding with MLLMs

Bingjun Luo · Tony Wang · Chaoqi Chen · Xinpeng Ding

Study of Training Dynamics for Memory-Constrained Fine-Tuning

Aël Quélennec · Nour Hezbri · Pavlo Mozharovskyi · Van-Tam Nguyen · Enzo Tartaglione

ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents

Ido Levy · Ben wiesel · Sami Marreed · Alon Oved · Avi Yaeli · Segev Shlomov

StylOS: Multi-View 3D Stylization with Single-Forward Gaussian Splatting

Hanzhou Liu · Jia Huang · Mi Lu · Srikanth Saripalli · Peng Jiang

Sublinear Time Quantum Algorithm for Attention Approximation

Zhao Song · Jianfei Xue · Jiahao Zhang · Lichen Zhang

Subspace Kernel Learning on Tensor Sequences

Lei Wang · Xi Ding · Yongsheng Gao · Piotr Koniusz

Superficial Safety Alignment Hypothesis

Jianwei Li · Jung-Eun Kim

SuperF: Neural Implicit Fields for Multi-Image Super-Resolution

Sander R. Jyhne · Christian Igel · Morten Goodwin · Per-Arne Andersen · Serge Belongie · Nico Lang

Supporting Multimodal Intermediate Fusion with Informatic Constraint and Distribution Coherence

Yi Li · Fei Song · Changwen Zheng · Jiangmeng Li

SWERank: Software Issue Localization with Code Ranking

Revanth Gangi Reddy · Tarun Suresh · JaeHyeok Doo · Ye Liu · Xuan-Phi Nguyen · Yingbo Zhou · Semih Yavuz · Caiming Xiong · Heng Ji · Shafiq Joty

SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs

Dachuan Shi · Abedelkadir Asi · Keying Li · Xiangchi Yuan · Leyan Pan · Wenke Lee · Wen Xiao

Symmetry-Aware Bayesian Optimization via Max Kernels

Anthony Bardou · Antoine Gonon · Aryan Ahadinia · Patrick Thiran

SYNC: Measuring and Advancing Synthesizability in Structure-Based Drug Design

Yunfan Liu · Lirong Wu · Zhifeng Gao · Yufei Huang · Cheng Tan · Haitao Lin · Zicheng Liu · Changxi Chi · Chang Yu · Stan Z Li

Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking

Dhruv Rohatgi · Abhishek Shetty · Donya Saless · Yuchen Li · Ankur Moitra · Andrej Risteski · Dylan Foster

Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework

Rajesh Shrestha · Xiao Fu

TaskCraft: Automated Generation of Agentic Tasks

Dingfeng Shi · Jingyi Cao · Qianben Chen · Weichen Sun · Weizhen Li · Hongxuan Lu · Fangchen Dong · Tianrui Qin · Zhu · Minghao Liu · Yuchen Jiang · Jian Yang · Ge Zhang · JIAHENG LIU · Changwang Zhang · Jun Wang · Wangchunshu Zhou

TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling

Liang-Hsuan Tseng · Yi-Chang Chen · Kuan Lee · Da-shan Shiu · Hung-yi Lee

TD-MoE: Tensor Decomposition for MoE Models

Yuebin XU · YANHONG WANG · Xuemei Peng · Hui Zang · Minghao Chen · Pengfei Xia · Zeyi Wen

Temporal Generalization: A Reality Check

Divyam Madaan · Sumit Chopra · Kyunghyun Cho

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Mike Merrill · Alexander Shaw · Nicholas Carlini · Boxuan Li · Harsh Raj · Ivan Bercovich · Lin Shi · Jeong Shin · Thomas Walshe · E. Kelly Buchanan · Junhong Shen · Guanghao Ye · Haowei Lin · Jason Poulos · Maoyu Wang · Jenia Jitsev · Marianna Nezhurina · Di Lu · Orfeas Menis Mastromichalakis · Zhiwei Xu · Zizhao Chen · Yue Liu · Robert Zhang · Leon Liangyu Chen · Anurag Kashyap · Jan-Lucas Uslu · Jeffrey Li · Jianbo Wu · Minghao Yan · Song Bian · Vedang Sharma · Ke Sun · Steven Dillmann · Akshay Anand · Andrew Lanpouthakoun · Bardia Koopah · Changran Hu · Etash Guha · Gabriel Dreiman · Jiacheng Zhu · Karl Krauth · Li Zhong · Niklas Muennighoff · Robert Amanfu · Shangyin Tan · Shreyas Pimpalgaonkar · Tushar Aggarwal · Xiangning Lin · Xin Lan · Xuandong Zhao · Yiqing Liang · Yuanli Wang · Zilong (Ryan) Wang · Jason Chou · David Heineman · Hange Liu · Harsh Trivedi · John Yang · Junhong Lin · Manish Shetty · Michael Yang · Nabil Omi · Negin Raoof · Shanda Li · Terry Yue Zhuo · Wuwei Lin · Yiwei Dai · Yuxin Wang · Wenhao Chai · Shang Zhou · Dariush Wahdany · Ziyu She · Jiaming Hu · Zhikang Dong · Yuxuan Zhu · Sasha Cui · Ahson Saiyed · Arinbjörn Kolbeinsson · Christopher Rytting · Ryan Marten · Yixin Wang · Alex Dimakis · Andy Konwinski · Ludwig Schmidt

Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models

Yinglun Zhu · Jiancheng Zhang · Fuzhi Tang

Test-Time Mixture of World Models for Embodied Agents in Dynamic Environments

Jinwoo Jang · Minjong Yoo · Sihyung Yoon · Honguk Woo

Test-Time Poisoned Sample Detection by Exploiting Shallow Malicious Matching in Backdoored CLIP

Zhengyao Song · Meixi Zheng · Ke Xu · Yongqiang Li · Baoyuan Wu

TEST-TIME SCALING IN DIFFUSION LLMS VIA HIDDEN SEMI-AUTOREGRESSIVE EXPERTS

Jihoon Lee · Hoyeon Moon · Kevin Zhai · Arun Chithanar · Anit Kumar Sahu · Soummya Kar · Chul Lee · Souradip Chakraborty · Amrit Bedi

Textual Bayes: Quantifying Uncertainty in LLM-Based Systems

Brendan Ross · Noël Vouitsis · Atiyeh Ashari Ghomi · Rasa Hosseinzadeh · Ji Xin · Zhaoyan Liu · Yi Sui · Shiyi Hou · Kin Kwan Leung · Gabriel Loaiza-Ganem · Jesse Cresswell

Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-Resolution

Qifan Li · Jiale Zou · Jinhua Zhang · Wei Long · Xingyu Zhou · Shuhang Gu

TGM: A Modular and Efficient Library for Machine Learning on Temporal Graphs

Jacob Chmura · Shenyang(Andy) Huang · Tran Gia Bao Ngo · Ali Parviz · Farimah Poursafaei · Jure Leskovec · Michael Bronstein · Guillaume Rabusseau · Matthias Fey · Reihaneh Rabbany

The Achilles’ Heel of LLMs: How Altering a Handful of Neurons Can Cripple Language Abilities

Zixuan Qin · Kunlin Lyu · Qingchen Yu · Yifan Sun · Zhaoxin Fan

The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs

Zichen Wen · Jiashu Qu · Zhaorun Chen · Xiaoya Lu · Dongrui Liu · Zhiyuan Liu · Ruixi Wu · Yicun Yang · Xiangqi Jin · Haoyun Xu · Xuyang Liu · Weijia Li · Chaochao Lu · Jing Shao · Conghui He · Linfeng Zhang

The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators

Mansi Sakarvadia · Kareem Hegazy · Amin Totounferoush · Kyle Chard · Yaoqing Yang · Ian Foster · Michael W Mahoney

The Intricate Dance of Prompt Complexity, Quality, Diversity and Consistency in T2I Models

Zhang Xiaofeng · Aaron Courville · Michal Drozdzal · Adriana Romero-Soriano

Theoretical Guarantees for Causal Discovery on Large Random Graphs

Mathieu Chevalley · Arash Mehrjou · Patrick Schwab

The Power of Small Initialization in Noisy Low-Tubal-Rank Tensor Recovery

Zhiyu Liu · Haobo Geng · Xudong Wang · Yandong Tang · Zhi Han · Yao Wang

The Quest for Generalizable Motion Generation: Data, Model, and Evaluation

Jing Lin · Ruisi Wang · Junzhe Lu · Ziqi Huang · Guorui Song · AILING ZENG · Xian Liu · Chen Wei · Wanqi Yin · Qingping SUN · Zhongang Cai · Lei Yang · Ziwei Liu

The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective

Michael Muehlebach · Zhiyu He · Michael Jordan

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

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

The State of Reinforcement Finetuning for Transformer-based Generative Agents

Shengchao Hu · Guozheng Ma · Shi Fu · Peng Wang · Li Shen · Ya Zhang · Dacheng Tao

The Tutor-Pupil Augmentation: Enhancing Learning and Interpretability via Input Corrections

Darya Biparva · Maarten Schoukens · Donatello Materassi

Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning

Haonan Wang · Chao Du · Kenji Kawaguchi · Tianyu Pang

Thompson Sampling via Fine-Tuning of LLMs

Nicolas Menet · Aleksandar Terzic · Michael Hersche · Andreas Krause · Abbas Rahimi

THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning

Qikai Chang · Zhenrong Zhang · Pengfei Hu · Jun Du · Jiefeng Ma · Yicheng Pan · Jianshu Zhang · Quan Liu · Gao Jianqing

Thought Branches: Interpreting LLM Reasoning Requires Resampling

Uzay Macar · Paul Bogdan · Senthooran Rajamanoharan · Neel Nanda

Thyme: Think Beyond Images

YiFan Zhang · Xingyu Lu · Shukang Yin · Chaoyou Fu · Wei Chen · Xiao Hu · Bin Wen · Kaiyu Jiang · Changyi Liu · Tianke Zhang · Haonan fan · Kaibing Chen · Jiankang Chen · Haojie Ding · Kaiyu Tang · Zhang Zhang · Liang Wang · Fan Yang · Tingting Gao · Guorui Zhou

TileLang: Bridge Programmability and Performance in Modern Neural Kernels

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

Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks

Yi Yu · Qixin ZHANG · Shuhan YE · Xun Lin · Qianshan Wei · Kun Wang · Wenhan Yang · Dacheng Tao · Jiang Xudong

Tina: Tiny Reasoning Models via LoRA

Shangshang Wang · Julian Asilis · Ömer Faruk Akgül · Enes Bilgin · Ollie Liu · Willie Neiswanger

TNT: Improving Chunkwise Training for Test-Time Memorization

Zeman Li · Ali Behrouz · Yuan Deng · Peilin Zhong · Praneeth Kacham · Mahdi Karami · Meisam Razaviyayn · Vahab Mirrokni

To Augment or Not to Augment? Diagnosing Distributional Symmetry Breaking

Hannah Lawrence · Elyssa Hofgard · Vasco Portilheiro · Yuxuan Chen · Tess Smidt · Robin Walters

Token-based Audio Inpainting via Discrete Diffusion

Tali Dror · Iftach Shoham · Moshe Buchris · Oren Gal · Haim Permuter · Gilad Katz · Eliya Nachmani

Tokenisation over Bounded Alphabets is Hard

Violeta Kastreva · Philip Whittington · Dennis Komm · Tiago Pimentel

ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models

Bowen Fang · Wen Ye · YUNYUE SU · Jinghao Zhang · Qiang Liu · Yesheng Liu · Xin Sun · shu wu · Jiabing Yang · Baole Wei · Liang Wang

Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning

Yifei Chen · Guanting Dong · Zhicheng Dou

Toward Enhancing Representation Learning in Federated Multi-Task Settings

Mehdi Setayesh · Mahdi Beitollahi · Yasser Khalil · Hongliang Li

Towards a Foundation Model for Crowdsourced Label Aggregation

Hao Liu · Jiacheng Liu · Feilong Tang · Long Chen · Jiadi Yu · Yanmin Zhu · Qiwen Dong · Yichuan Yu · Xiaofeng Hou

Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment

Cyrus Cousins · Vijay Keswani · Vincent Conitzer · Hoda Heidari · Jana Borg · Walter Sinnott-Armstrong

Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward

Xinyu Tang · Zhenduo Zhang · Yurou Liu · Xin Zhao · zujie wen · Zhiqiang Zhang · JUN ZHOU

Towards Persistent Noise-Tolerant Active Learning of Regular Languages with Class Query

Lekai Chen · Ashutosh Trivedi · Alvaro Velasquez

Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting Without Disclosure

Hanlin Gu · Hong Xi Tae · Lixin Fan · Chee Seng Chan

Towards Revealing the Effect of Batch Size Scheduling on Pre-training

Jinbo Wang · Binghui Li · Zhanpeng Zhou · Mingze Wang · yuxuan sun · Jiaqi Zhang · Xunliang Cai · Lei Wu

Towards Safe and Optimal Online Bidding: A Modular Look-ahead Lyapunov Framework

Hengquan Guo · Haobo Zhang · Junwei Pan · Shudong Huang · Nianhua Xie · Lei Xiao · Haijie Gu · Jie Jiang · Xin Liu

Towards Sampling Data Structures for Tensor Products in Turnstile Streams

Zhao Song · Shenghao Xie · Samson Zhou

TP-Spikformer: Token Pruned Spiking Transformer

Wenjie Wei · Xiaolong Zhou · Malu Zhang · Ammar Belatreche · Qian Sun · Yimeng Shan · Dehao Zhang · Zijian Zhou · Zeyu Ma · Yang Yang · Haizhou Li

Tracing and Reversing Edits in LLMs: A Study on Rank-One Model Edits

Paul Youssef · Zhixue Zhao · Christin Seifert · Jörg Schlötterer

Tracing the Principles Behind Modern Diffusion Models

Chieh-Hsin Lai · Yang Song · Dongjun Kim · Yuki Mitsufuji · Stefano Ermon

TRAC: Tensor-Train based Across-layer Compression for Parameter-Efficient Fine-Tuning

Bangguo Ye · Yuanwei Zhang · Xiaoqun Zhang

TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models

Peiran Li · Jiawei Wang · Haoran Zhang · Xiaodan Shi · Noboru Koshizuka · Chihiro Shimizu · Renhe Jiang

Transductive Visual Programming: Evolving Tool Libraries from Experience for Spatial Reasoning

Shengguang Wu · Xiaohan Wang · Yuhui Zhang · Hao Zhu · Serena Yeung

Transfer Learning in Infinite Width Feature Learning Networks

Clarissa Lauditi · Blake Bordelon · Cengiz Pehlevan

Transformers are Inherently Succinct

Pascal Bergsträßer · Ryan Cotterell · Anthony W. Lin

Transformers as Unsupervised Learning Algorithms: A study on Gaussian Mixtures

Zhiheng Chen · Ruofan Wu · Guanhua Fang

Transformers Don’t Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and Implications for Mechanistic Interpretability

Luca Baroni · Galvin Khara · Joachim Schaeffer · Marat Subkhankulov · Stefan Heimersheim

Transformers Learn Latent Mixture Models In-Context via Mirror Descent

Francesco D'Angelo · Nicolas Flammarion

Transformers with Endogenous In-Context Learning: Bias Characterization and Mitigation

Haotian Wang · Haoxuan Li · Hao Zou · Haoang Chi · Yang Shi · Yuanxing Zhang · Wenjing Yang · Xinwang Liu · Zhouchen Lin

TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees

Weida Li · Haoye Lu · Bryan Kian Hsiang Low

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction

Stéphane d'Ascoli · Jérémy Rapin · Yohann Benchetrit · Hubert Banville · Jean-Remi King

Trust-Region Adaptive Policy Optimization

Mingyu Su · Jian Guan · Yuxian Gu · Minlie Huang · Hongning Wang

Trust The Typical

Debargha Ganguly · Sreehari Sankar · Biyao Zhang · Vikash Singh · Kanan Gupta · Harshini Kavuru · Alan Luo · Weicong Chen · Warren Morningstar · Raghu Machiraju · Vipin Chaudhary

Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations

Pedro Ferreira · Wilker Aziz · Ivan Titov

t-SNE Exaggerates Clusters, Provably

Noah Bergam · Szymon Snoeck · Nakul Verma

TTT3R: 3D Reconstruction as Test-Time Training

Xingyu Chen · YUE CHEN · Yuliang Xiu · Andreas Geiger · Anpei Chen

TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis

Sijing Li · Zhongwei Qiu · Jiang Liu · Wenqiao Zhang · Tianwei Lin · Yihan Xie · Jianxiang An · Boxiang Yun · Chenglin Yang · Jun Xiao · Guangyu Guo · Jiawen Yao · Wei Liu · Yuan gao · Ke Yan · Weiwei Cao · Zhilin Zheng · Tony C. W. MOK · Kai Cao · Yu Shi · Jiuyu Zhang · Jian Zhou · Beng Chin Ooi · Yingda Xia · Ling Zhang

TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation

Junhan Kim · Yeo Jeong Park · Seungwoo Son · Chungman Lee · Ho-young Kim · Joonyoung Kim · Yongkweon Jeon

Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity

Moussa Koulako Bala Doumbouya · Dan Jurafsky · Christopher Manning

TyphoonMLA: A Mixed Naive-Absorb MLA Kernel For Shared Prefix

Ahmet Yüzügüler · Ahmet Çelik · Jiawei Zhuang · Lukas Cavigelli

ULTRA-360: Unconstrained Dataset for Large-scale Temporal 3D Reconstruction across Altitudes and Omnidirectional Views

Xijun Liu · Zhaoliang Zhang · Yuxiang Guo · Yifan Zhou · Rama Chellappa · Cheng Peng

Understanding Dataset Distillation via Spectral Filtering

Deyu Bo · Songhua Liu · Xinchao Wang

Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods

Zhaiming Shen · Alexander Hsu · Rongjie Lai · Wenjing Liao

Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding

Lin Long · Changdae Oh · Seongheon Park · Yixuan Li

Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors

Mark Rofin · Jalal Naghiyev · Michael Hahn

Understanding the Mechanisms of Fast Hyperparameter Transfer

Nikhil Ghosh · Denny Wu · Alberto Bietti

UNDERSTANDING TRANSFORMERS FOR TIME SEIRES FORECASTING: A CASE STUDY ON MOIRAI

Yu-Hsuan Wu · Yihan He · Yuan Cao · Jianqing Fan · Han Liu

Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models

Sen Ye · Mengde Xu · Di He · Winston Hu · Liwei Wang · Shuyang Gu

Unified Analyses for Hierarchical Federated Learning: Topology Selection under Data Heterogeneity

Ziyi Zhou · Yipeng Li · Xinchen Lyu

Unified In-Context Video Editing

Zixuan Ye · Xuanhua He · Quande Liu · Qiulin Wang · Xintao WANG · Pengfei Wan · Di ZHANG · Kun Gai · Qifeng Chen · Wenhan Luo

Unified Vision–Language Modeling via Concept Space Alignment

Yifu QIU · Paul-Ambroise Duquenne · Holger Schwenk

Unifying Complexity-Theoretic Perspectives on Provable Explanations

Shahaf Bassan · Xuanxiang Huang · Guy Katz

Unifying Diffusion and Autoregression for Generalizable Vision-Language-Action Model

Jiaming Liu · Hao Chen · Zhuoyang Liu · Pengju An · Renrui Zhang · Chenyang Gu · Xiaoqi Li · Ziyu Guo · Sixiang Chen · Mengzhen Liu · Chengkai Hou · Mengdi Zhao · KC Zhou · Pheng-Ann Heng · Shanghang Zhang

UnigramLM: An Attempt at Writing The Missing Manual

Clara Meister

UniTrack: Differentiable Graph Representation Learning for Multi-Object Tracking

Bishoy Galoaa · Xiangyu Bai · Utsav Nandi · Sai Rangoju · Somaieh Amraee · Sarah Ostadabbas

Universal Beta Splatting

Rong Liu · Zhongpai Gao · Benjamin Planche · Meida Chen · Van Nguyen · Meng Zheng · Anwesa Choudhuri · Terrence Chen · Yue Wang · Andrew Feng · Ziyan Wu

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

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

Unlearning Evaluation through Subset Statistical Independence

Chenhao Zhang · Muxing Li · Feng Liu · Weitong Chen · Miao Xu

Unpacking Human Preference for LLMs: Demographically Aware Evaluation with the Diverse Framework

Nora Petrova · Andrew Gordon · Enzo Blindow

Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives

Amirhossein Zamani · Bruno Roy · Arianna Rampini

UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections

Zeyu Cai · Ziyang Li · Xiaoben Li · Boqian Li · Zeyu Wang · Zhenyu Zhang · Yuliang Xiu

Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions

Jian-Qiao Zhu · Hanbo Xie · Dilip Arumugam · Robert Wilson · Thomas L. Griffiths

vAttention: Verified Sparse Attention via Sampling

Aditya Desai · Kumar Agrawal · Shuo Yang · Alejandro Cuadron Lafuente · Luis Schroeder · Matei Zaharia · Joseph E Gonzalez · Ion Stoica

Verifier-free Test-Time Sampling for Vision Language Action Models

Suhyeok Jang · Dongyoung Kim · Changyeon Kim · Youngsuk Kim · Jinwoo Shin

Verifying Chain-of-Thought Reasoning via its Computational Graph

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

VeriTrail: Closed-Domain Hallucination Detection with Traceability

Dasha Metropolitansky · Jonathan Larson

VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation

Hritik Bansal · Clark Peng · Yonatan Bitton · Roman Goldenberg · Aditya Grover · Kai-Wei Chang

ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Models

Juntian Zhang · Song Jin · Chuanqi Cheng · Yuhan Liu · Yankai Lin · Xun Zhang · Yufei zhang · Fei Jiang · Guojun Yin · Wei Lin · Rui Yan

Virne: A Comprehensive Benchmark for RL-based Network Resource Allocation in NFV

Tianfu Wang · Liwei Deng · Xi Chen · Junyang Wang · Huiguo He · Zhengyu Hu · Wei Wu · Leilei Ding · Qilin Fan · Hui Xiong

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

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

VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models

Lingjie Jiang · Shaohan Huang · xun wu · Yixia Li · Guanhua Chen · Dongdong Zhang · Furu Wei

VisionReasoner: Unified Reasoning-Integrated Visual Perception via Reinforcement Learning

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

VisuRiddles: Fine-grained Perception is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning

Hao Yan · Xingchen Liu · Hao Wang · Zhenbiao Cao · Handong Zheng · Liang Yin · Xinxing Su · Zihao Chen · Jihao Wu · Minghui Liao · CHAO WENG · Wei Chen · Yuliang Liu · Xiang Bai

VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic Manipulation

Huayi Zhou · Kui Jia

VLM-Guided Adaptive Negative Prompting for Creative Generation

Shelly Golan · Yotam Nitzan · Zongze Wu · Or Patashnik

VMDiff: Visual Mixing Diffusion for Limitless Cross-Object Synthesis

Zeren Xiong · Yue Yu · Ze-dong Zhang · Shuo Chen · Jian Yang · Jun Li

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

Thibaud Gloaguen · Mark Vero · Robin Staab · Martin Vechev

WATS: Wavelet-Aware Temperature Scaling for Reliable Graph Neural Networks

Xiaoyang li · Linwei Tao · Haohui Lu · Minjing Dong · Junbin Gao · Chang Xu

WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents

Sicheng Fan · Qingyun Shi · Shengze Xu · Shengbo Cai · Tieyong Zeng · LI LING · Yanyi Shang · Dehan Kong

Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels

Zhepeng Cen · Haolin Chen · Shiyu Wang · Zuxin Liu · Zhiwei Liu · DING ZHAO · Caiming Xiong · Huan Wang · Weiran Yao

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Zhengwei Tao · Jialong Wu · Wenbiao Yin · Pu Wu · Junkai Zhang · Baixuan Li · Haiyang SHEN · Kuan Li · Liwen Zhang · Xinyu Wang · Wentao Zhang · Yong Jiang · Pengjun Xie · Fei Huang · Jingren Zhou

Weight Space Representation Learning on Diverse NeRF Architectures

Francesco Ballerini · Pierluigi Zama Ramirez · Luigi Di Stefano · Samuele Salti

We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning

Runqi Qiao · Qiuna Tan · Peiqing Yang · Yanzi Wang · Xiaowan Wang · Enhui Wan · Guanting Dong · Shiqiang Lang · Sitong Zhou · Yida Xu · Yuchen Zeng · Jie Wang · Chong Sun · Chen Li · Honggang Zhang

Whatever Remains Must Be True: Filtering Drives Reasoning in LLMs, Shaping Diversity

Germàn Kruszewski · Pierre ERBACHER · Jos Rozen · Marc Dymetman

What Matters for Bioacoustic Encoding

Marius Miron · David Robinson · Milad Alizadeh · Ellen Gilsenan-McMahon · Gagan Narula · Emmanuel Chemla · Maddie Cusimano · Felix Effenberger · Masato Hagiwara · Benjamin Hoffman · Sara Keen · Diane Kim · Jane Lawton · Jen-Yu Liu · Aza Raskin · Olivier Pietquin · Matthieu Geist

What "Not" to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging

Inha Kang · Youngsun Lim · Seonho Lee · Jiho Choi · Junsuk Choe · Hyunjung Shim

When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework

Zach Xu · Shang Zhu · Jue Wang · Junlin Wang · Ben Athiwaratkun · Chi Wang · James Y Zou · Ce Zhang

When Flatness Does (Not) Guarantee Adversarial Robustness

Nils Philipp Walter · Linara Adilova · Jilles Vreeken · Michael Kamp

When Greedy Wins: Emergent Exploitation Bias in Meta-Bandit LLM Training

Sanxing Chen · Xiaoyin Chen · Yukun Huang · Roy Xie · Bhuwan Dhingra

When LLMs get significantly worse: A statistical approach to detect model degradations

Jonas Kübler · Kailash Budhathoki · Matthäus Kleindessner · Xiong Zhou · Junming Yin · Ashish Khetan · George Karypis

When Scores Learn Geometry: Rate Separations under the Manifold Hypothesis

Xiang Li · Zebang Shen · Ya-Ping Hsieh · Niao He

When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger

Amirabbas Afzali · Myeongho Jeon · Maria Brbic

Where Did This Sentence Come From? Tracing Provenance in LLM Reasoning Distillation

kaiyuan liu · Shaotian Yan · Rui Miao · Bing Wang · Chen Shen · Jun Zhang · Jieping Ye

Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective

Zhihao Zhang · Qiaole Dong · Qi Zhang · Enyu Zhou · Jun Zhao · Zhiheng Xi · Senjie Jin · Xiaoran Fan · Yuhao Zhou · Mingqi Wu · Yanwei Fu · Tao Ji · Tao Gui · Xuanjing Huang · Kai Chen

WithAnyone: Toward Controllable and ID Consistent Image Generation

Hengyuan Xu · Wei Cheng · Peng Xing · Yixiao Fang · Shuhan Wu · Rui Wang · Xianfang Zeng · Daxin Jiang · Gang Yu · Xingjun Ma · Yu-Gang Jiang

WorldSplat: Gaussian-Centric Feed-Forward 4D Scene Generation for Autonomous Driving

Ziyue Zhu · Zhanqian Wu · Zhenxin Zhu · Lijun Zhou · Haiyang Sun · Bing Wang · Kun Ma · Guang Chen · Hangjun Ye · Jin Xie · jian Yang

XIL: Cross-Expanding Incremental Learning

Heayoun Choi · Hyundong Jin · Eunwoo Kim

XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models

Xingrui Wang · Jiang Liu · Chao Huang · Xiaodong Yu · Ze Wang · Ximeng Sun · Jialian Wu · Alan Yuille · Emad Barsoum · Zicheng Liu

X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Jinliang Zheng · Jianxiong Li · Zhihao Wang · Dongxiu Liu · Xirui Kang · Yuchun Feng · Yinan Zheng · Jiayin Zou · Yilun Chen · Jia Zeng · Tai Wang · Ya-Qin Zhang · Jingjing Liu · Xianyuan Zhan

Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking

Jinyi Han · Ying Huang · Ying Liao · Haiquan Zhao · Zishang Jiang · Xinyi Wang · Xikun Lu · Guanghao Zhou · Sihang Jiang · Jiaqing Liang · Weikang Zhou · Zeye Sun · Fei Yu · Yanghua Xiao

Your VAR Model is Secretly an Efficient and Explainable Generative Classifier

Yi-Chung Chen · David Inouye · Jing Gao

Zero-shot HOI Detection with MLLM-based Detector-agnostic Interaction Recognition

Shiyu Xuan · Dongkai Wang · Zechao Li · Jinhui Tang

ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training

Feijiang Han · Xiaodong Yu · Jianheng Tang · Delip Rao · Weihua Du · Lyle Ungar

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