Microsoft at NeurIPS 2025

Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation

Liliang Ren, Congcong Chen, Haoran Xu, Young Jin Kim, Adam Atkinson, Zheng Zhan, Jiankai Sun, Baolin Peng, Liyuan Liu, Shuohang Wang, Hao Cheng, Jianfeng Gao, Weizhu Chen, Yelong Shen

Greedy Algorithm for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure

Aleksandrs Slivkins, Yunzong Xu, Shiliang Zuo

VASA-3D: Lifelike Audio-Driven Gaussian Head Avatars from a Single Image

Sicheng Xu, Guojun Chen, Jiaolong Yang, Yu Deng, Yizhong Zhang, Stephen Lin, Baining Guo

Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models

Sofiane Ennadir, Levente Z'olyomi, Oleg Smirnov, Tianze Wang, John Pertoft, Filip Cornell, Lele Cao

What Do Latent Action Models Actually Learn?

Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian

Results of the Big ANN: NeurIPS'23 competition

Harsha Simhadri, Martin Aumuller, Amir Ingber, Matthijs Douze, George Williams, M. Manohar, Dmitry Baranchuk, Edo Liberty, Frank Liu, Benjamin Landrum, Mazin Karjikar, Laxman Dhulipala, Meng Chen, Yue Chen, Rui Ma, Kai Zhang, Yuzheng Cai, Jiayang Shi, Yizhuo Chen, Weiguo Zheng, Zihao Wan, Jie Yin, Ben Huang

Validating LLM-as-a-Judge Systems under Rating Indeterminacy

Luke Guerdan, Solon Barocas, Kenneth Holstein, Hanna Wallach, Zhiwei Steven Wu, Alex Chouldechova

EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang

BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning

Hongyi Zhou, Weiran Liao, Xi Huang, Yucheng Tang, Fabian Otto, Xiaogang Jia, Xinkai Jiang, Simon Hilber, Ge Li, Qian Wang, Ömer Erdinç Yagmurlu, Nils Blank, Moritz Reuss, Rudolf Lioutikov

Efficient and Near-Optimal Algorithm for General Contextual Dueling Bandits with Offline Regression Oracles

Aadirupa Saha, Robert E. Schapire

Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders

Ali Rasekh, Erfan Soula, Omid Daliran, Simon Gottschalk, Mohsen Fayyaz

For Better or for Worse, Transformers Seek Patterns for Memorization

Madhur Panwar, Gail Weiss, Navin Goyal, Antoine Bosselut

Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks

Susmit Agrawal, Krishn Vishwas Kher, Swarnim Maheshwari, Saksham Mittal, Vineeth N Balasubramanian

MindJourney: Test-Time Scaling with World Models for Spatial Reasoning

Yuncong Yang, Jiageng Liu, Zheyuan Zhang, Siyuan Zhou, Reuben Tan, Jianwei Yang, Yilun Du, Chuang Gan

MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image Reasoning

Yuxuan Luo, Yuhui Yuan, Junwen Chen, Haonan Cai, Ziyi Yue, Yuwei Yang, Fatima Zohra Daha, Ji Li, Zhouhui Lian

NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data

Haolong Qian, Xianliang Yang, Ling Zhang, Lei Song, Jiang Bian, Chun Yuan

Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models

Chenrui Cao, Liangcheng Song, Zenan Li, Xinyi Le, Xian Zhang, Hui Xue, Fan Yang

Reward Reasoning Model

Jiaxin Guo, Zewen Chi, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, Furu Wei

scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling

Joel Dapello, Marcel Nassar, Ridvan Eksi, Ban Wang, Jules Gagnon-Marchand, Kenneth Gao, akram Baharlouei, Kyra Thrush, Nina Riehs, Amy Peterson, Aniket Tolpadi, Abhejit Rajagopal, Henry Miller, ashley conard, David Alvarez-Melis, Rory Stark, Simone Bianco, Morgan Levine, Ava P. Amini, Alex Lu, Nicolo Fusi, Ravi Pandya, Valentina Pedoia, Hana El-Samad

SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Xianda Guo, Ruijun Zhang, Yiqun Duan, Yuhang He, Dujun Nie, Wenke Huang, Chenming Zhang, Shuai Liu, Hao Zhao, Long Chen

Training Language Models to Generate Quality Code with Program Analysis Feedback

Feng Yao, Zilong Wang, Liyuan Liu, Junxia Cui, Li Zhong, Xiaohan Fu, Haohui Mai, Vish Krishnan, Jianfeng Gao, Jingbo Shang

VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents

Kangrui Wang, Pingyue Zhang, Zihan Wang, Yaning Gao, Linjie Li, Qineng Wang, Hanyang Chen, Chi Wan, Yiping Lu, Zhengyuan Yang, Lijuan Wang, Ranjay Krishna, Jiajun Wu, Fei-Fei Li, Yejin Choi, Manling Li

Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally

Agam Shah, Siddhant Sukhani, Huzaifa Pardawala, Saketh Budideti, Riya Bhadani, Rudra Gopal, Siddhartha Somani, Michael Galarnyk, Soungmin Lee, Arnav Hiray, Akshar Ravichandran, Eric Kim, P. Aluru, Joshua Zhang, Sebastian Jaskowski, Veer Guda, Meghaj Tarte, Liqin Ye, S. Gosden, Rutwik Routu, Rachel Yuh, S. Chava, Sahasra Chava, Dylan Patrick Kelly, Aiden Chiang, Harsit Mittal, S. Chava

A Unified Approach to Submodular Maximization Under Noise

Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin

Bayesian Concept Bottleneck Models with LLM Priors

Jean Feng, Avni Kothari, Luke Zier, Chandan Singh, Yan Shuo Tan

Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation

Enshu Liu, Qian Chen, Xuefei Ning, Shengen Yan, Guohao Dai, Zinan Lin, Yu Wang

Dynamic Risk Assessments for Offensive Cybersecurity Agents

Boyi Wei, Benedikt Stroebl, Jiacen Xu, Joie Zhang, Zhou Li, Peter Henderson

E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products

Yunyang Li, Lin Huang, Zhihao Ding, Chu Wang, Xinran wei, Hang Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Jia Zhang, Marc H. Gerstein, Tao Qin

From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review

Yaohui Zhang, Haijing Zhang, Wenlong Ji, Tianyu Hua, Nick Haber, Hancheng Cao, Weixin Liang

Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning

Qitao Tan, Jun Liu, Zheng Zhan, Caiwei Ding, Yanzhi Wang, Jin Lu, Geng Yuan

Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems

Saeed Amizadeh, Sara Abdali, Yinheng Li, Kazuhito Koishida

Improved Algorithms for Fair Matroid Submodular Maximization

Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski

Lost in Transmission: When and Why LLMs Fail to Reason Globally

Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville

MIRA: Medical Time Series Foundation Model for Real-World Health Data

Hao Li, Bowen Deng, Chang Xu, Zhiyuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark

Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems

Yao Fu, Yinsicheng Jiang, Yeqi Huang, Ping Nie, Zhan Lu, Leyang Xue, Congjie He, Man-Kit Sit, Jilong Xue, Li Dong, Ziming Miao, Kai Zou, E. Ponti, Luo Mai

Omnidirectional 3D Scene Reconstruction from Single Image

Ren Yang, Jiahao Li, Yan Lu

PaTH Attention: Position Encoding via Accumulating Householder Transformations

Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim

Position: Towards Bidirectional Human-AI Alignment

Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, S. Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens

Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics

Zhiyang Xun, Shivam Gupta, Eric Price

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization

Yuante Li, Xu Yang, Xiao Yang, Minrui Xu, Xisen Wang, Weiqing Liu, Jiang Bian

SAS: Simulated Attention Score

Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan (Jana) Kulkarni, Yelong Shen, Atlas Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Frank F. Xu, Yufan Song, Boxuan Li, Yuxuan Tang, Kritanjali Jain, Mengxue Bao, Z. Z. Wang, Xuhui Zhou, Zhitong Guo, Murong Cao, Mingyang Yang, Hao Yang Lu, Amaad Martin, Zhe Su, L. Maben, Raj Mehta, Wayne Chi, Lawrence Jang, Yiqing Xie, Shuyan Zhou, Graham Neubig

Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion

Qijun Luo, Yifei Shen, Liangzu Peng, Dongsheng Li, Xiao Li

Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations

Shixin Li, Xiaojing Ma, Zewei Li, Xiaofan Bai, Pingyi Hu, Dongmei Zhang, Bin Benjamin Zhu

DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products

Julien N. Siems, Timur Carstensen, Arber Zela, Frank Hutter, M. Pontil, Riccardo Grazzi

Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation

Jitesh Jain, Zhengyuan Yang, Humphrey Shi, Jianfeng Gao, Jianwei Yang

Enhancing Graph Classification Robustness with Singular Pooling

Sofiane Ennadir, Oleg Smirnov, Yassine Abbahaddou, Lele Cao, Johannes Lutzeyer

Generative Pre-trained Autoregressive Diffusion Transformer

Yuan Zhang, Jiacheng Jiang, Guoqing Ma, Zhiying Lu, Bo Wang, Haoyang Huang, Jian-min Yuan, Nan Duan

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents

Qianhui Wu, Kanzhi Cheng, Rui Yang, Chaoyun Zhang, Jianwei Yang, Huiqiang Jiang, Jian Mu, Baolin Peng, Bo Qiao, Reuben Tan, Si Qin, Lars Liden, Qingwei Lin 林庆维, Huan Zhang, Tong Zhang, Jianbing Zhang, Dongmei Zhang, Jianfeng Gao

Language Ranker: A Lightweight Ranking framework for LLM Decoding

Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Zinan Lin, Enshu Liu, Xuefei Ning, Junyi Zhu, Wenyu Wang, Sergey Yekhanin

Learning to Solve Complex Problems via Dataset Decomposition

Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Xingdi Yuan, Weijia Xu, Marc-Alexandre Côté, Alessandro Sordoni

Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials

Yifan Pu, Jixuan Ying, Tianzhu Ye, Dongchen Han, Ziyi Wang, Qixiu Li, shao xinyu, Xiaochen Wang, Gao Huang, Xiu Li

High-Quality Zero-Shot Podcast Generation

Zeqian Ju, Dongchao Yang, Jianwei Yu, Kai Shen, Yichong Leng, Zhengtao Wang, Xu Tan, Xinyu Zhou, Tao Qin, Xiangyang Li

On the Hardness of Conditional Independence Testing In Practice

Zheng HE, Roman Pogodin, Yazhe Li, Namrata Deka, Arthur Gretton, Danica J. Sutherland

One-Step Diffusion-Based Image Compression with Semantic Distillation

Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Yuan Zhang, Yan Lu

PZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks

Pengyun Yue, Xuanlin Yang, Mingqing Xiao, Zhouchen Lin

Rationalized All-Atom Protein Design with Unified Multi-modal Bayesian Flow

Hanlin Wu, Yuxuan Song, Zhe Zhang, Zhilong Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu

Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor

Alexandra Olteanu, Su Lin Blodgett, Agathe Balayn, Angelina Wang, Fernando Diaz, Flavio du Pin Calmon, Margaret Mitchell, Michael Ekstrand, Reuben Binns, Solon Barocas

SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement

Xiyao Wang, Zhengyuan Yang, Chao Feng, Hongjin Lu, Linjie Li, Chung-Ching Lin, Kevin Lin, Furong Huang, Lijuan Wang

Toward Relative Positional Encoding in Spiking Transformers

Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning

Wenkai Yang, Shuming Ma, Yankai Lin, Furu Wei

BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing

Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong

Chain-of-Model Learning for Language Model

Kaitao Song, Xiaohua Wang, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, LU Cen, Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu

Chain-of-Retrieval Augmented Generation

Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei

Contextual Integrity in LLMs via Reasoning and Reinforcement Learning

Guangchen Lan, Huseyin Inan, Sahar Abdelnabi, Janardhan (Jana) Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G. Brinton, Robert Sim

CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching

Leying Zhang, Yao Qian, Xiaofei Wang, Manthan Thakker, Dongmei Wang, Jianwei Yu, Haibin Wu, Yuxuan Hu, Jinyu Li, Yanmin Qian, Sheng Zhao

Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding

Xiaoyi Zhang, Zhaoyang Jia, Zongyu Guo, Jiahao Li, Bin Li, Houqiang Li, Yan Lu

Fast constrained sampling in pre-trained diffusion models

Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras

Functional Complexity-adaptive Temporal Tensor Decomposition

Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang

Generative Caching for Structurally Similar Prompts and Responses

Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta

Improving LLM General Preference Alignment via Optimistic Online Mirror Descent

Yuheng Zhang, Dian Yu, Tao Ge, Linfeng Song, Zhichen Zeng, Haitao Mi, Nan Jiang, Dong Yu

Informed Correctors for Discrete Diffusion Models

Yixiu Zhao, Jiaxin Shi, Lester Mackey, Scott W. Linderman

Interpretable Next-token Prediction via the Generalized Induction Head

Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao

Last-Iterate Convergence of Smooth Regret Matching+ Variants in Learning Nash Equilibria

Linjian Meng, Youzhi Zhang, Zhenxing Ge, Tianyu Ding, Shangdong Yang, Zheng Xu, Wenbin Li, Yang Gao

Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings

Yehya Farhat, Hamza ElMokhtar Shili, Fangshuo Liao, Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Robert Sim, Dimitrios Dimitriadis, Anastasios Kyrillidis

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice

A. F. Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Ziyu Liu, Alex Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, N. Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, A. Cyphert, Mark A. Lemley, danah boyd, Jennifer Wortman Vaughan, M. Brundage, David Bau, Seth Neel, Abigail Z. Jacobs, Andreas Terzis, Hanna Wallach, Nicolas Papernot, Katherine Lee

Mechanism Design for LLM Fine-tuning with Multiple Reward Models

Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng

Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards

Qingming Liu, Zhen Liu, Dinghuai Zhang, Kui Jia

Next Semantic Scale Prediction via Hierarchical Diffusion Language Models

Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, T. Jaakkola

Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning

Minheng Ni, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Kevin Lin, Wangmeng Zuo, Lijuan Wang

Prompt Tuning Decision Transformers with Structured and Scalable Bandits

Finn Rietz, Oleg Smirnov, Sara Karimi, Lele Cao

Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study

Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice

A. F. Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Ziyu Liu, Alex Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, N. Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, A. Cyphert, Mark A. Lemley, danah boyd, Jennifer Wortman Vaughan, M. Brundage, David Bau, Seth Neel, Abigail Z. Jacobs, Andreas Terzis, Hanna Wallach, Nicolas Papernot, Katherine Lee

Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models

Anuja Negi, S. Oota, Manish Gupta, Fatma Deniz

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models

Hanze Guo, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie

Dyn-O: Building Structured World Models with Object-Centric Representations

Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian

EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models

Andy Bonnetto, Haozhe Qi, Franklin Leong, Matea Tashkovska, Mahdi Rad, S. Shokur, Friedhelm Hummel, S. Micera, Marc Pollefeys, Alexander Mathis

Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations

Panqi Chen, Yifan Sun, Lei Cheng, Yang Yang, Weichang Li, Yang Liu, Weiqing Liu, Jiang Bian, Shikai Fang

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks

Debargha Ganguly, Vikash Singh, Sreehari Sankar, Biyao Zhang, Xuecen Zhang, Srinivasan Iyengar, Xiaotian Han, Amit Sharma, S. Kalyanaraman, Vipin Chaudhary

Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation

Dongnan Gui, Xun Guo, Wengang Zhou, Yan Lu

Text Generation Beyond Discrete Token Sampling

Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao

Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search

Sebastian Bruch, Aditya Krishnan, F. M. Nardini

Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach

Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, José Hernández-Orallo, Aylin Caliskan, Jindong Wang

R-KV: Redundancy-aware KV Cache Compression for Reasoning Models

Zefan Cai, Wen Xiao, Hanshi Sun, Cheng Luo, Yikai Zhang, Ke Wan, Yucheng Li, Yeyang Zhou, Li-Wen Chang, Jiuxiang Gu, Zhen Dong, Anima Anandkumar, Abedelkadir Asi, Junjie Hu

Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection

Zheng Zhan, Liliang Ren, Shuohang Wang, Liyuan Liu, Yang Liu, Yeyun Gong, Yanzhi Wang, Yelong Shen

Self-distilled Attention Gating for Efficient Long-context Prefilling

Yizhao Gao, Zhichen Zeng, DaYou Du, Shijie Cao, Peiyuan Zhou, Jiaxing Qi, Junjie Lai, Hayden Kwok-Hay So, Ting Cao, Fan Yang, Mao Yang

ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation

Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Qiying Yu, Zheng Zhang, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma

SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation

Yimu Zhang, Dongqi Han, Yansen Wang, Zhenning Lv, Yu Gu, Dongsheng Li

Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs

Kai Wang, Siqiang Luo, Caihua Shan, Yifei Shen

Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation

Jinyang Li , Jack Williams, Nick McKenna, Arian Askari, Nicholas Wilson, Reynold Cheng

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs

Xiyao Wang, Zhengyuan Yang, Chao Feng, Yongyuan Liang, Yuhang Zhou, Xiaoyu Liu, Ziyi Zang, Ming Li, Chung-Ching Lin, Kevin Lin, Linjie Li, Furong Huang, Lijuan Wang

RoboSeer: Video Generators Can Be Generalizable Robot Manipulators

Yichao Shen, Fangyun Wei, Zhiying Du, Yaobo Liang, Yan Lu, Jiaolong Yang, Nanning Zheng, Baining Guo

CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop

Weijian Ma, Shizhao Sun, Ruiyu Wang, Jiang Bian

Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming

Alex Chouldechova, A. Feder Cooper, Solon Barocas, Abhinav Palia, Dan Vann, Hanna Wallach

Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples

Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma, Daniela Rus

Conformal Linguistic Calibration: Trading-off between Factuality and Specificity

Zhengping Jiang, Anqi Liu, Ben Van Durme

Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling

Tianyi Tan, Yinan Zheng, Ruiming Liang, Zexu Wang, Kexin Zheng, Jinliang Zheng, Jianxiong Li, Xianyuan Zhan, Jingjing Liu

LoRA vs Full Fine-tuning: An Illusion of Equivalence

Reece Shuttleworth, Jacob Andreas, Antonio Torralba, Pratyusha Sharma, Pratyusha Sharma

MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Ziyang Ma, Yi Ma, Yanqiao Zhu, Chen Yang, Yi-Wen Chao, Ruiyang Xu, Wenxi Chen, Yuanzhe Chen, Zhuo Chen, Jian Cong, Kai Li, Keliang Li, Siyou Li, Xinfeng Li, Xiquan Li, Zheng Lian, Yu-Cheng Liang, Minghao Liu, Zhikang Niu, Tianrui Wang, Yuping Wang, Yuxuan Wang, Yihao Wu, Guanrou Yang, Jianwei Yu, Ruibin Yuan, Zhisheng Zheng, Ziya Zhou, Haina Zhu, Wei Xue, Emmanouil Benetos, Kai Yu, E. Chng, Xie Chen

MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks

Rui Jiao, Hanlin Wu, Wenbing Huang, Yuxuan Song, Yawen Ouyang, Yu Rong, Tingyang Xu, Pengju Wang, Hao Zhou, Wei-Ying Ma, Jingjing Liu, Yang Liu

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

Ruicheng Wang, Sicheng Xu, Yue Dong, Yu Deng, Jianfeng Xiang, Zelong Lv, Guangzhong Sun, Xin Tong, Jiaolong Yang

On Optimal Steering to Achieve Exact Fairness

Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

Pengcheng Huang, Zhenghao Liu, Yukun Yan, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong

PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning

Yizhen Zhang, Yang Ding, Shuoshuo Zhang, Xinchen Zhang, Haoling Li, Zhong-zhi Li, Peijie Wang, Jie Wu, Lei Ji, Yelong Shen, Yujiu Yang, Yeyun Gong

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Yiping Wang, Qing Yang, Zhiyuan Zeng, Liliang Ren, Liyuan Liu, Baolin Peng, Hao Cheng, Xuehai He, Kuan Wang, Jianfeng Gao, Weizhu Chen, Shuohang Wang, S. Du, Yelong Shen

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset

Yifei Liu, Li Lyna Zhang, Yi Zhu, Bingcheng Dong, Xudong Zhou, Ning Shang, Fan Yang, Mao Yang

SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement

Chenyu Yang, Shuai Wang, Hangting Chen, Wei Tan, Jianwei Yu, Haizhou Li, Jianwei Yu

Steering Generative Models with Experimental Data for Protein Fitness Optimization

Jason Yang, Wenda Chu, Daniel Khalil, Raul Astudillo, Bruce Wittmann, Frances H. Arnold, Yisong Yue

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation

Shuaiqi Wang, Vikas Raunak, Arturs Backurs, Victor Reis, Pei Zhou, Sihao Chen, Longqi Yang, Zinan Lin, Sergey Yekhanin, Giulia Fanti

SWE-bench Goes Live!

Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning

Xiao Liang, Zhong-zhi Li, Yeyun Gong, Yang Wang, Hengyuan Zhang, Yelong Shen, Yingchun Wu, Weizhu Chen

Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries

Haoxiang Wang, Zinan Lin, Da Yu, Huishuai Zhang

Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training

Minhak Song, Beomhan Baek, Kwangjun Ahn, Chulhee Yun

Towards Automated Petrography

Isai Daniel Chacon, Paola Ruiz Puentes, Jillian Pearse, Pablo Arbelaez

Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference

Denis Blessing, Julius Berner, Lorenz Richter, Carles Domingo-Enrich, Yuanqi Du, Arash Vahdat, Gerhard Neumann

Value Gradient Guidance for Flow Matching Alignment

Zhen Liu, Tim Xiao, Carles Domingo-Enrich, Weiyang Liu, Dinghuai Zhang

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation

Alyssa Unell, Noel Codella, Sam Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P Lungren, Hoifung Poon

Tackling Climate Change with Machine Learning

David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jacques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio