background pattern gradient: blue to purple to orange

2025年12月2日 – 2025年12月7日

Microsoft at NeurIPS 2025

地点： San Diego, CA, USA

论文与出版物

查看方式：

- 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
  
  NeurIPS 2025 | December 2025
  
  Preprint
- Improved Algorithms for Fair Matroid Submodular Maximization
  
  Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski
  
  NeurIPS 2025 | December 2025
  
  Publication Publication
- Lost in Transmission: When and Why LLMs Fail to Reason Globally
  
  Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville
  
  NeurIPS 2025 | December 2025
  
  NeurIPS Spotlight
  
  Preprint Github
- 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
  
  NeurIPS 2025 | December 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication
- Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
  
  Susmit Agrawal, Krishn Vishwas Kher, Swarnim Maheshwari, Saksham Mittal, Vineeth N Balasubramanian
  
  NeurIPS 2025 | December 2025
  
  Publication
- NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery
  
  Anurag Vaidya, Felix Meissen, Daniel Coelho de Castro, Shruthi Bannur, Tristan Lazard, Drew F. K. Williamson, Faisal Mahmood, Javier Alvarez-Valle, Stephanie Hyland, Kenza Bouzid
  
  Machine Learning for Health Symposium 2025 | December 2025
  
  Publication
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication 项目
- Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries
  
  Haoxiang Wang, Zinan Lin, Da Yu, Huishuai Zhang
  
  NeurIPS 2025 | December 2025
  
  Publication 项目
- 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
  
  NeurIPS 2025 | November 2025
  
  Publication
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- 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
  
  NeurIPS 2025 | November 2025
  
  Publication
- Interpretable Next-token Prediction via the Generalized Induction Head
  
  Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- A Unified Approach to Submodular Maximization Under Noise
  
  Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
  
  Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma, Daniela Rus
  
  NeurIPS 2025 | October 2025
  
  Publication
- Language Ranker: A Lightweight Ranking framework for LLM Decoding
  
  Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
  
  Hanze Guo, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie
  
  NeurIPS 2025 | October 2025
  
  Publication
- Kirby-Judge: Think Once, Judge Anywhere
  
  Jongwoo Ko, Sungnyun Kim, Sungwoo Cho, SeYoung Yun
  
  NeurIPS 2025 | October 2025
  
  DOI Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Chain-of-Retrieval Augmented Generation
  
  Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
  
  Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, T. Jaakkola
  
  NeurIPS 2025 | October 2025
  
  Publication
- Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion
  
  Qijun Luo, Yifei Shen, Liangzu Peng, Dongsheng Li, Xiao Li
  
  NeurIPS 2025 | October 2025
  
  Publication
- BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing
  
  Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong
  
  NeurIPS 2025 | October 2025
  
  Publication
- CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop
  
  Weijian Ma, Shizhao Sun, Ruiyu Wang, Jiang Bian
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations
  
  Shixin Li, Xiaojing Ma, Zewei Li, Xiaofan Bai, Pingyi Hu, Dongmei Zhang, Bin Benjamin Zhu
  
  NeurIPS 2025 | October 2025
  
  Publication
- Disarming Strategic Text: Span-Aware Counterfactuals for Robust Content Moderation
  
  Hardik Meisheri, Muhammad Zaid Hassan, Swati Tiwari, Puneet Mangla, Samarth Bharadwaj, Karthik Sankaranarayanan, Amit Singh
  
  October 2025
  
  Publication
- Do LLMs Comply Differently During Tests? And Can We Steer That?
  
  Sahar Abdelnabi, Ahmed Salem
  
  NeurIPS 2025 | October 2025
  
  Publication
- Efficient and Near-Optimal Algorithm for General Contextual Dueling Bandits with Offline Regression Oracles
  
  Aadirupa Saha, Robert E. Schapire
  
  NeurIPS 2025 | October 2025
  
  Publication
- Enhancing Graph Classification Robustness with Singular Pooling
  
  Sofiane Ennadir, Oleg Smirnov, Yassine Abbahaddou, Lele Cao, Johannes Lutzeyer
  
  NeurIPS 2025 | October 2025
  
  Publication
- Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders
  
  Ali Rasekh, Erfan Soula, Omid Daliran, Simon Gottschalk, Mohsen Fayyaz
  
  NeurIPS 2025 | October 2025
  
  Publication
- For Better or for Worse, Transformers Seek Patterns for Memorization
  
  Madhur Panwar, Gail Weiss, Navin Goyal, Antoine Bosselut
  
  NeurIPS 2025 | October 2025
  
  Publication
- Functional Complexity-adaptive Temporal Tensor Decomposition
  
  Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
  
  Haolong Qian, Xianliang Yang, Ling Zhang, Lei Song, Jiang Bian, Chun Yuan
  
  NeurIPS 2025 | October 2025
  
  Publication
- Native Hybrid Thinking Models
  
  Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- Omnidirectional 3D Scene Reconstruction from Single Image
  
  Ren Yang, Jiahao Li, Yan Lu
  
  NeurIPS 2025 | October 2025
  
  Publication
- On the Hardness of Conditional Independence Testing In Practice
  
  Zheng HE, Roman Pogodin, Yazhe Li, Namrata Deka, Arthur Gretton, Danica J. Sutherland
  
  NeurIPS 2025 | October 2025
  
  Publication
- Parameter-Free Last-Iterate Convergence of Counterfactual Regret Minimization Algorithms
  
  Linjian Meng, Youzhi Zhang, Shangdong Yang, Tianyu Ding, Zhenxing Ge, Wenbin Li, Tianpei Yang, Bo An, Yang Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics
  
  Zhiyang Xun, Shivam Gupta, Eric Price
  
  NeurIPS 2025 | October 2025
  
  Publication
- PZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
  
  Pengyun Yue, Xuanlin Yang, Mingqing Xiao, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- RoboSeer: Video Generators Can Be Generalizable Robot Manipulators
  
  Yichao Shen, Fangyun Wei, Zhiying Du, Yaobo Liang, Yan Lu, Jiaolong Yang, Nanning Zheng, Baining Guo
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Towards Automated Petrography
  
  Isai Daniel Chacon, Paola Ruiz Puentes, Jillian Pearse, Pablo Arbelaez
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Value Gradient Guidance for Flow Matching Alignment
  
  Zhen Liu, Tim Xiao, Carles Domingo-Enrich, Weiyang Liu, Dinghuai Zhang
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication 项目
- Bayesian Concept Bottleneck Models with LLM Priors
  
  Jean Feng, Avni Kothari, Luke Zier, Chandan Singh, Yan Shuo Tan
  
  NeurIPS 2025 | September 2025
  
  DOI
- On Optimal Steering to Achieve Exact Fairness
  
  Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah
  
  NeurIPS 2025 | September 2025
  
  Publication
- Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
  
  Saeed Amizadeh, Sara Abdali, Yinheng Li, Kazuhito Koishida
  
  NeurIPS 2025 | September 2025
  
  Publication
- Informed Correctors for Discrete Diffusion Models
  
  Yixiu Zhao, Jiaxin Shi, Lester Mackey, Scott W. Linderman
  
  NeurIPS 2025 | September 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | August 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | August 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | July 2025
  
  Publication
- Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
  
  Minhak Song, Beomhan Baek, Kwangjun Ahn, Chulhee Yun
  
  NeurIPS 2025 | July 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | July 2025
  
  DOI Publication
- Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models
  
  Anuja Negi, S. Oota, Manish Gupta, Fatma Deniz
  
  NeurIPS 2025 | July 2025
  
  DOI
- 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
  
  NeurIPS 2025 | July 2025
  
  DOI
- Dyn-O: Building Structured World Models with Object-Centric Representations
  
  Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
  
  NeurIPS 2025 | July 2025
  
  DOI
- 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
  
  NeurIPS 2025 | July 2025
  
  DOI Publication Publication
- It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
  
  Jikai Jin, Lester Mackey, Vasilis Syrgkanis
  
  NeurIPS 2025 | July 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
  
  Qingming Liu, Zhen Liu, Dinghuai Zhang, Kui Jia
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  Publication 项目项目
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI 项目
- TRAP: Targeted Redirecting of Agentic Preferences
  
  Hangoo Kang, Jehyeok Yeon, Gagandeep Singh
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO
  
  Lai Wei, Yuting Li, Chen Wang, Yue Wang, Linghe Kong, Weiran Huang, Lichao Sun
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- What Do Latent Action Models Actually Learn?
  
  Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI
- Dynamic Risk Assessments for Offensive Cybersecurity Agents
  
  Boyi Wei, Benedikt Stroebl, Jiacen Xu, Joie Zhang, Zhou Li, Peter Henderson
  
  NeurIPS 2025 | May 2025
  
  DOI
- One-Step Diffusion-Based Image Compression with Semantic Distillation
  
  Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Yuan Zhang, Yan Lu
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- PaTH Attention: Position Encoding via Accumulating Householder Transformations
  
  Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Reward Reasoning Model
  
  Jiaxin Guo, Zewen Chi, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, Furu Wei
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Text Generation Beyond Discrete Token Sampling
  
  Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Generative Pre-trained Autoregressive Diffusion Transformer
  
  Yuan Zhang, Jiacheng Jiang, Guoqing Ma, Zhiying Lu, Bo Wang, Haoyang Huang, Jian-min Yuan, Nan Duan
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
  
  Jiarui Yao, Yifan Hao, Hanning Zhang, Hanze Dong, Wei Xiong, Nan Jiang, Tong Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | April 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | April 2025
  
  DOI Publication Publication
- 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
  
  NeuIPS 2025 | March 2025
  
  DOI Publication Publication
- Validating LLM-as-a-Judge Systems under Rating Indeterminacy
  
  Luke Guerdan, Solon Barocas, Kenneth Holstein, Hanna Wallach, Zhiwei Steven Wu, Alex Chouldechova
  
  NeurIPS 2025 | March 2025
  
  Publication
- Greedy Algorithm for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
  
  Aleksandrs Slivkins, Yunzong Xu, Shiliang Zuo
  
  NeurIPS 2025 | March 2025
  
  DOI Publication Publication
- EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
  
  Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang
  
  NeurIPS 2025 | March 2025
  
  DOI
- Conformal Linguistic Calibration: Trading-off between Factuality and Specificity
  
  Zhengping Jiang, Anqi Liu, Ben Van Durme
  
  NeurIPS 2025 | February 2025
  
  DOI
- Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
  
  Wenkai Yang, Shuming Ma, Yankai Lin, Furu Wei
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | February 2025
  
  Publication
- DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
  
  Julien N. Siems, Timur Carstensen, Arber Zela, Frank Hutter, M. Pontil, Riccardo Grazzi
  
  NeurIPS 2025 | February 2025
  
  Publication
- Gradient Multi-Normalization for Stateless and Scalable LLM Training
  
  Meyer Scetbon, Chao Ma, Wenbo Gong, Edward Meeds
  
  NeurIPS 2025 | February 2025
  
  DOI
- Prompt Tuning Decision Transformers with Structured and Scalable Bandits
  
  Finn Rietz, Oleg Smirnov, Sara Karimi, Lele Cao
  
  NeurIPS 2025 | February 2025
  
  Publication Publication
- 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
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning
  
  Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Yiren Zhao, Guy-Bart Stan, Caihua Shan
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | January 2025
  
  DOI
- Toward Relative Positional Encoding in Spiking Transformers
  
  Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2025 | January 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation
  
  Jitesh Jain, Zhengyuan Yang, Humphrey Shi, Jianfeng Gao, Jianwei Yang
  
  NeurIPS 2025 | December 2024
  
  Publication
- 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
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
  
  Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
  
  PDF
- LoRA vs Full Fine-tuning: An Illusion of Equivalence
  
  Reece Shuttleworth, Jacob Andreas, Antonio Torralba, Pratyusha Sharma, Pratyusha Sharma
  
  NeurIPS 2025 | October 2024
  
  DOI Publication Publication
- Fast constrained sampling in pre-trained diffusion models
  
  Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras
  
  NeurIPS 2025 | October 2024
  
  DOI Publication Publication
- Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
  
  Kai Wang, Siqiang Luo, Caihua Shan, Yifei Shen
  
  NeurIPS 2025 | October 2024
  
  Publication
- 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
  
  NeurIPS 2025 | September 2024
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- 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
  
  NeurIPS 2025 | June 2024
  
  Publication
- Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search
  
  Sebastian Bruch, Aditya Krishnan, F. M. Nardini
  
  NeurIPS 2025 | May 2024
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2023
  
  Publication

- 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
  
  NeurIPS 2025 | December 2025
  
  Preprint
- Improved Algorithms for Fair Matroid Submodular Maximization
  
  Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski
  
  NeurIPS 2025 | December 2025
  
  Publication Publication
- 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
  
  NeurIPS 2025 | December 2025
  
  DOI Publication Publication
- Lost in Transmission: When and Why LLMs Fail to Reason Globally
  
  Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville
  
  NeurIPS 2025 | December 2025
  
  NeurIPS Spotlight
  
  Preprint Github
- NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery
  
  Anurag Vaidya, Felix Meissen, Daniel Coelho de Castro, Shruthi Bannur, Tristan Lazard, Drew F. K. Williamson, Faisal Mahmood, Javier Alvarez-Valle, Stephanie Hyland, Kenza Bouzid
  
  Machine Learning for Health Symposium 2025 | December 2025
  
  Publication
- Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
  
  Susmit Agrawal, Krishn Vishwas Kher, Swarnim Maheshwari, Saksham Mittal, Vineeth N Balasubramanian
  
  NeurIPS 2025 | December 2025
  
  Publication
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication
- Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries
  
  Haoxiang Wang, Zinan Lin, Da Yu, Huishuai Zhang
  
  NeurIPS 2025 | December 2025
  
  Publication 项目
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication 项目
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication
- 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
  
  NeurIPS 2025 | November 2025
  
  Publication
- 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
  
  NeurIPS 2025 | November 2025
  
  Publication
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- Interpretable Next-token Prediction via the Generalized Induction Head
  
  Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
  
  Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma, Daniela Rus
  
  NeurIPS 2025 | October 2025
  
  Publication
- Language Ranker: A Lightweight Ranking framework for LLM Decoding
  
  Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
  
  Hanze Guo, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
  
  Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, T. Jaakkola
  
  NeurIPS 2025 | October 2025
  
  Publication
- Disarming Strategic Text: Span-Aware Counterfactuals for Robust Content Moderation
  
  Hardik Meisheri, Muhammad Zaid Hassan, Swati Tiwari, Puneet Mangla, Samarth Bharadwaj, Karthik Sankaranarayanan, Amit Singh
  
  October 2025
  
  Publication
- Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics
  
  Zhiyang Xun, Shivam Gupta, Eric Price
  
  NeurIPS 2025 | October 2025
  
  Publication
- PZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
  
  Pengyun Yue, Xuanlin Yang, Mingqing Xiao, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
  
  Haolong Qian, Xianliang Yang, Ling Zhang, Lei Song, Jiang Bian, Chun Yuan
  
  NeurIPS 2025 | October 2025
  
  Publication
- Native Hybrid Thinking Models
  
  Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- On the Hardness of Conditional Independence Testing In Practice
  
  Zheng HE, Roman Pogodin, Yazhe Li, Namrata Deka, Arthur Gretton, Danica J. Sutherland
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Functional Complexity-adaptive Temporal Tensor Decomposition
  
  Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- RoboSeer: Video Generators Can Be Generalizable Robot Manipulators
  
  Yichao Shen, Fangyun Wei, Zhiying Du, Yaobo Liang, Yan Lu, Jiaolong Yang, Nanning Zheng, Baining Guo
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Towards Automated Petrography
  
  Isai Daniel Chacon, Paola Ruiz Puentes, Jillian Pearse, Pablo Arbelaez
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Value Gradient Guidance for Flow Matching Alignment
  
  Zhen Liu, Tim Xiao, Carles Domingo-Enrich, Weiyang Liu, Dinghuai Zhang
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication 项目
- For Better or for Worse, Transformers Seek Patterns for Memorization
  
  Madhur Panwar, Gail Weiss, Navin Goyal, Antoine Bosselut
  
  NeurIPS 2025 | October 2025
  
  Publication
- Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders
  
  Ali Rasekh, Erfan Soula, Omid Daliran, Simon Gottschalk, Mohsen Fayyaz
  
  NeurIPS 2025 | October 2025
  
  Publication
- Enhancing Graph Classification Robustness with Singular Pooling
  
  Sofiane Ennadir, Oleg Smirnov, Yassine Abbahaddou, Lele Cao, Johannes Lutzeyer
  
  NeurIPS 2025 | October 2025
  
  Publication
- Efficient and Near-Optimal Algorithm for General Contextual Dueling Bandits with Offline Regression Oracles
  
  Aadirupa Saha, Robert E. Schapire
  
  NeurIPS 2025 | October 2025
  
  Publication
- Do LLMs Comply Differently During Tests? And Can We Steer That?
  
  Sahar Abdelnabi, Ahmed Salem
  
  NeurIPS 2025 | October 2025
  
  Publication
- Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations
  
  Shixin Li, Xiaojing Ma, Zewei Li, Xiaofan Bai, Pingyi Hu, Dongmei Zhang, Bin Benjamin Zhu
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop
  
  Weijian Ma, Shizhao Sun, Ruiyu Wang, Jiang Bian
  
  NeurIPS 2025 | October 2025
  
  Publication
- BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing
  
  Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong
  
  NeurIPS 2025 | October 2025
  
  Publication
- Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion
  
  Qijun Luo, Yifei Shen, Liangzu Peng, Dongsheng Li, Xiao Li
  
  NeurIPS 2025 | October 2025
  
  Publication
- Bayesian Concept Bottleneck Models with LLM Priors
  
  Jean Feng, Avni Kothari, Luke Zier, Chandan Singh, Yan Shuo Tan
  
  NeurIPS 2025 | September 2025
  
  DOI
- On Optimal Steering to Achieve Exact Fairness
  
  Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah
  
  NeurIPS 2025 | September 2025
  
  Publication
- Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
  
  Saeed Amizadeh, Sara Abdali, Yinheng Li, Kazuhito Koishida
  
  NeurIPS 2025 | September 2025
  
  Publication
- Informed Correctors for Discrete Diffusion Models
  
  Yixiu Zhao, Jiaxin Shi, Lester Mackey, Scott W. Linderman
  
  NeurIPS 2025 | September 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | August 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | July 2025
  
  Publication
- Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
  
  Minhak Song, Beomhan Baek, Kwangjun Ahn, Chulhee Yun
  
  NeurIPS 2025 | July 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | July 2025
  
  DOI Publication
- Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models
  
  Anuja Negi, S. Oota, Manish Gupta, Fatma Deniz
  
  NeurIPS 2025 | July 2025
  
  DOI
- 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
  
  NeurIPS 2025 | July 2025
  
  DOI
- Dyn-O: Building Structured World Models with Object-Centric Representations
  
  Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
  
  NeurIPS 2025 | July 2025
  
  DOI
- It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
  
  Jikai Jin, Lester Mackey, Vasilis Syrgkanis
  
  NeurIPS 2025 | July 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  Publication 项目项目
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI
- TRAP: Targeted Redirecting of Agentic Preferences
  
  Hangoo Kang, Jehyeok Yeon, Gagandeep Singh
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI 项目
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO
  
  Lai Wei, Yuting Li, Chen Wang, Yue Wang, Linghe Kong, Weiran Huang, Lichao Sun
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- What Do Latent Action Models Actually Learn?
  
  Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Dynamic Risk Assessments for Offensive Cybersecurity Agents
  
  Boyi Wei, Benedikt Stroebl, Jiacen Xu, Joie Zhang, Zhou Li, Peter Henderson
  
  NeurIPS 2025 | May 2025
  
  DOI
- PaTH Attention: Position Encoding via Accumulating Householder Transformations
  
  Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Reward Reasoning Model
  
  Jiaxin Guo, Zewen Chi, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, Furu Wei
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Text Generation Beyond Discrete Token Sampling
  
  Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Generative Pre-trained Autoregressive Diffusion Transformer
  
  Yuan Zhang, Jiacheng Jiang, Guoqing Ma, Zhiying Lu, Bo Wang, Haoyang Huang, Jian-min Yuan, Nan Duan
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
  
  Jiarui Yao, Yifan Hao, Hanning Zhang, Hanze Dong, Wei Xiong, Nan Jiang, Tong Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | April 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | April 2025
  
  DOI Publication Publication
- Validating LLM-as-a-Judge Systems under Rating Indeterminacy
  
  Luke Guerdan, Solon Barocas, Kenneth Holstein, Hanna Wallach, Zhiwei Steven Wu, Alex Chouldechova
  
  NeurIPS 2025 | March 2025
  
  Publication
- Greedy Algorithm for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
  
  Aleksandrs Slivkins, Yunzong Xu, Shiliang Zuo
  
  NeurIPS 2025 | March 2025
  
  DOI Publication Publication
- EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
  
  Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang
  
  NeurIPS 2025 | March 2025
  
  DOI
- Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
  
  Wenkai Yang, Shuming Ma, Yankai Lin, Furu Wei
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | February 2025
  
  Publication
- DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
  
  Julien N. Siems, Timur Carstensen, Arber Zela, Frank Hutter, M. Pontil, Riccardo Grazzi
  
  NeurIPS 2025 | February 2025
  
  Publication
- Gradient Multi-Normalization for Stateless and Scalable LLM Training
  
  Meyer Scetbon, Chao Ma, Wenbo Gong, Edward Meeds
  
  NeurIPS 2025 | February 2025
  
  DOI
- Prompt Tuning Decision Transformers with Structured and Scalable Bandits
  
  Finn Rietz, Oleg Smirnov, Sara Karimi, Lele Cao
  
  NeurIPS 2025 | February 2025
  
  Publication Publication
- 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
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning
  
  Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Yiren Zhao, Guy-Bart Stan, Caihua Shan
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | January 2025
  
  DOI
- Toward Relative Positional Encoding in Spiking Transformers
  
  Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2025 | January 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation
  
  Jitesh Jain, Zhengyuan Yang, Humphrey Shi, Jianfeng Gao, Jianwei Yang
  
  NeurIPS 2025 | December 2024
  
  Publication
- 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
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
  
  Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
  
  PDF
- LoRA vs Full Fine-tuning: An Illusion of Equivalence
  
  Reece Shuttleworth, Jacob Andreas, Antonio Torralba, Pratyusha Sharma, Pratyusha Sharma
  
  NeurIPS 2025 | October 2024
  
  DOI Publication Publication
- Fast constrained sampling in pre-trained diffusion models
  
  Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras
  
  NeurIPS 2025 | October 2024
  
  DOI Publication Publication
- Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
  
  Kai Wang, Siqiang Luo, Caihua Shan, Yifei Shen
  
  NeurIPS 2025 | October 2024
  
  Publication
- 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
  
  NeurIPS 2025 | September 2024
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- 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
  
  NeurIPS 2025 | June 2023
  
  Publication
- NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery
  
  Anurag Vaidya, Felix Meissen, Daniel Coelho de Castro, Shruthi Bannur, Tristan Lazard, Drew F. K. Williamson, Faisal Mahmood, Javier Alvarez-Valle, Stephanie Hyland, Kenza Bouzid
  
  Machine Learning for Health Symposium 2025 | December 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning
  
  Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Yiren Zhao, Guy-Bart Stan, Caihua Shan
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- Improved Algorithms for Fair Matroid Submodular Maximization
  
  Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski
  
  NeurIPS 2025 | December 2025
  
  Publication Publication
- Lost in Transmission: When and Why LLMs Fail to Reason Globally
  
  Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville
  
  NeurIPS 2025 | December 2025
  
  NeurIPS Spotlight
  
  Preprint Github
- A Unified Approach to Submodular Maximization Under Noise
  
  Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- Parameter-Free Last-Iterate Convergence of Counterfactual Regret Minimization Algorithms
  
  Linjian Meng, Youzhi Zhang, Shangdong Yang, Tianyu Ding, Zhenxing Ge, Wenbin Li, Tianpei Yang, Bo An, Yang Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- Efficient and Near-Optimal Algorithm for General Contextual Dueling Bandits with Offline Regression Oracles
  
  Aadirupa Saha, Robert E. Schapire
  
  NeurIPS 2025 | October 2025
  
  Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
  
  Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
  
  PDF
- Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search
  
  Sebastian Bruch, Aditya Krishnan, F. M. Nardini
  
  NeurIPS 2025 | May 2024
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | November 2025
  
  Publication
- Kirby-Judge: Think Once, Judge Anywhere
  
  Jongwoo Ko, Sungnyun Kim, Sungwoo Cho, SeYoung Yun
  
  NeurIPS 2025 | October 2025
  
  DOI Publication
- Chain-of-Retrieval Augmented Generation
  
  Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | August 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  Publication 项目项目
- Conformal Linguistic Calibration: Trading-off between Factuality and Specificity
  
  Zhengping Jiang, Anqi Liu, Ben Van Durme
  
  NeurIPS 2025 | February 2025
  
  DOI
- 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
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- 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
  
  NeuIPS 2025 | March 2025
  
  DOI Publication Publication
- Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
  
  Susmit Agrawal, Krishn Vishwas Kher, Swarnim Maheshwari, Saksham Mittal, Vineeth N Balasubramanian
  
  NeurIPS 2025 | December 2025
  
  Publication
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication
- Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries
  
  Haoxiang Wang, Zinan Lin, Da Yu, Huishuai Zhang
  
  NeurIPS 2025 | December 2025
  
  Publication 项目
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication
- Omnidirectional 3D Scene Reconstruction from Single Image
  
  Ren Yang, Jiahao Li, Yan Lu
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | July 2025
  
  DOI Publication Publication
- Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
  
  Qingming Liu, Zhen Liu, Dinghuai Zhang, Kui Jia
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  Publication 项目项目
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI
- One-Step Diffusion-Based Image Compression with Semantic Distillation
  
  Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Yuan Zhang, Yan Lu
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation
  
  Jitesh Jain, Zhengyuan Yang, Humphrey Shi, Jianfeng Gao, Jianwei Yang
  
  NeurIPS 2025 | December 2024
  
  Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  Publication
- 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
  
  NeurIPS 2025 | June 2024
  
  Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
  
  Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
  
  PDF
- Chain-of-Retrieval Augmented Generation
  
  Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | September 2024
  
  DOI Publication Publication
- Towards Automated Petrography
  
  Isai Daniel Chacon, Paola Ruiz Puentes, Jillian Pearse, Pablo Arbelaez
  
  NeurIPS 2025 | October 2025
  
  Publication
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- Enhancing Graph Classification Robustness with Singular Pooling
  
  Sofiane Ennadir, Oleg Smirnov, Yassine Abbahaddou, Lele Cao, Johannes Lutzeyer
  
  NeurIPS 2025 | October 2025
  
  Publication
- Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations
  
  Shixin Li, Xiaojing Ma, Zewei Li, Xiaofan Bai, Pingyi Hu, Dongmei Zhang, Bin Benjamin Zhu
  
  NeurIPS 2025 | October 2025
  
  Publication
- DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
  
  Julien N. Siems, Timur Carstensen, Arber Zela, Frank Hutter, M. Pontil, Riccardo Grazzi
  
  NeurIPS 2025 | February 2025
  
  Publication
- 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
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication 项目
- Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations
  
  Shixin Li, Xiaojing Ma, Zewei Li, Xiaofan Bai, Pingyi Hu, Dongmei Zhang, Bin Benjamin Zhu
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Dynamic Risk Assessments for Offensive Cybersecurity Agents
  
  Boyi Wei, Benedikt Stroebl, Jiacen Xu, Joie Zhang, Zhou Li, Peter Henderson
  
  NeurIPS 2025 | May 2025
  
  DOI
- 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
  
  NeurIPS 2025 | November 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI

- 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
  
  NeurIPS 2025 | December 2025
  
  Preprint
- Improved Algorithms for Fair Matroid Submodular Maximization
  
  Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski
  
  NeurIPS 2025 | December 2025
  
  Publication Publication
- 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
  
  NeurIPS 2025 | December 2025
  
  DOI Publication Publication
- Lost in Transmission: When and Why LLMs Fail to Reason Globally
  
  Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville
  
  NeurIPS 2025 | December 2025
  
  NeurIPS Spotlight
  
  Preprint Github
- NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery
  
  Anurag Vaidya, Felix Meissen, Daniel Coelho de Castro, Shruthi Bannur, Tristan Lazard, Drew F. K. Williamson, Faisal Mahmood, Javier Alvarez-Valle, Stephanie Hyland, Kenza Bouzid
  
  Machine Learning for Health Symposium 2025 | December 2025
  
  Publication
- Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
  
  Susmit Agrawal, Krishn Vishwas Kher, Swarnim Maheshwari, Saksham Mittal, Vineeth N Balasubramanian
  
  NeurIPS 2025 | December 2025
  
  Publication
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication
- Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries
  
  Haoxiang Wang, Zinan Lin, Da Yu, Huishuai Zhang
  
  NeurIPS 2025 | December 2025
  
  Publication 项目
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication 项目
- 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
  
  NeurIPS 2025 | December 2025
  
  Publication
- 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
  
  NeurIPS 2025 | November 2025
  
  Publication
- 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
  
  NeurIPS 2025 | November 2025
  
  Publication
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- Interpretable Next-token Prediction via the Generalized Induction Head
  
  Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- A Unified Approach to Submodular Maximization Under Noise
  
  Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
  
  Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma, Daniela Rus
  
  NeurIPS 2025 | October 2025
  
  Publication
- Language Ranker: A Lightweight Ranking framework for LLM Decoding
  
  Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- Kirby-Judge: Think Once, Judge Anywhere
  
  Jongwoo Ko, Sungnyun Kim, Sungwoo Cho, SeYoung Yun
  
  NeurIPS 2025 | October 2025
  
  DOI Publication
- Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
  
  Hanze Guo, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Chain-of-Retrieval Augmented Generation
  
  Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
  
  Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, T. Jaakkola
  
  NeurIPS 2025 | October 2025
  
  Publication
- Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics
  
  Zhiyang Xun, Shivam Gupta, Eric Price
  
  NeurIPS 2025 | October 2025
  
  Publication
- PZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
  
  Pengyun Yue, Xuanlin Yang, Mingqing Xiao, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
  
  Haolong Qian, Xianliang Yang, Ling Zhang, Lei Song, Jiang Bian, Chun Yuan
  
  NeurIPS 2025 | October 2025
  
  Publication
- Native Hybrid Thinking Models
  
  Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- Omnidirectional 3D Scene Reconstruction from Single Image
  
  Ren Yang, Jiahao Li, Yan Lu
  
  NeurIPS 2025 | October 2025
  
  Publication
- On the Hardness of Conditional Independence Testing In Practice
  
  Zheng HE, Roman Pogodin, Yazhe Li, Namrata Deka, Arthur Gretton, Danica J. Sutherland
  
  NeurIPS 2025 | October 2025
  
  Publication
- Parameter-Free Last-Iterate Convergence of Counterfactual Regret Minimization Algorithms
  
  Linjian Meng, Youzhi Zhang, Shangdong Yang, Tianyu Ding, Zhenxing Ge, Wenbin Li, Tianpei Yang, Bo An, Yang Gao
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Functional Complexity-adaptive Temporal Tensor Decomposition
  
  Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- RoboSeer: Video Generators Can Be Generalizable Robot Manipulators
  
  Yichao Shen, Fangyun Wei, Zhiying Du, Yaobo Liang, Yan Lu, Jiaolong Yang, Nanning Zheng, Baining Guo
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Towards Automated Petrography
  
  Isai Daniel Chacon, Paola Ruiz Puentes, Jillian Pearse, Pablo Arbelaez
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- Value Gradient Guidance for Flow Matching Alignment
  
  Zhen Liu, Tim Xiao, Carles Domingo-Enrich, Weiyang Liu, Dinghuai Zhang
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication 项目
- For Better or for Worse, Transformers Seek Patterns for Memorization
  
  Madhur Panwar, Gail Weiss, Navin Goyal, Antoine Bosselut
  
  NeurIPS 2025 | October 2025
  
  Publication
- Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders
  
  Ali Rasekh, Erfan Soula, Omid Daliran, Simon Gottschalk, Mohsen Fayyaz
  
  NeurIPS 2025 | October 2025
  
  Publication
- Enhancing Graph Classification Robustness with Singular Pooling
  
  Sofiane Ennadir, Oleg Smirnov, Yassine Abbahaddou, Lele Cao, Johannes Lutzeyer
  
  NeurIPS 2025 | October 2025
  
  Publication
- Efficient and Near-Optimal Algorithm for General Contextual Dueling Bandits with Offline Regression Oracles
  
  Aadirupa Saha, Robert E. Schapire
  
  NeurIPS 2025 | October 2025
  
  Publication
- Do LLMs Comply Differently During Tests? And Can We Steer That?
  
  Sahar Abdelnabi, Ahmed Salem
  
  NeurIPS 2025 | October 2025
  
  Publication
- Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations
  
  Shixin Li, Xiaojing Ma, Zewei Li, Xiaofan Bai, Pingyi Hu, Dongmei Zhang, Bin Benjamin Zhu
  
  NeurIPS 2025 | October 2025
  
  Publication
- 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
  
  NeurIPS 2025 | October 2025
  
  Publication
- CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop
  
  Weijian Ma, Shizhao Sun, Ruiyu Wang, Jiang Bian
  
  NeurIPS 2025 | October 2025
  
  Publication
- BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing
  
  Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong
  
  NeurIPS 2025 | October 2025
  
  Publication
- Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion
  
  Qijun Luo, Yifei Shen, Liangzu Peng, Dongsheng Li, Xiao Li
  
  NeurIPS 2025 | October 2025
  
  Publication
- Bayesian Concept Bottleneck Models with LLM Priors
  
  Jean Feng, Avni Kothari, Luke Zier, Chandan Singh, Yan Shuo Tan
  
  NeurIPS 2025 | September 2025
  
  DOI
- On Optimal Steering to Achieve Exact Fairness
  
  Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah
  
  NeurIPS 2025 | September 2025
  
  Publication
- Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
  
  Saeed Amizadeh, Sara Abdali, Yinheng Li, Kazuhito Koishida
  
  NeurIPS 2025 | September 2025
  
  Publication
- Informed Correctors for Discrete Diffusion Models
  
  Yixiu Zhao, Jiaxin Shi, Lester Mackey, Scott W. Linderman
  
  NeurIPS 2025 | September 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | August 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | August 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | July 2025
  
  Publication
- Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
  
  Minhak Song, Beomhan Baek, Kwangjun Ahn, Chulhee Yun
  
  NeurIPS 2025 | July 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | July 2025
  
  DOI Publication
- Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models
  
  Anuja Negi, S. Oota, Manish Gupta, Fatma Deniz
  
  NeurIPS 2025 | July 2025
  
  DOI
- 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
  
  NeurIPS 2025 | July 2025
  
  DOI
- 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
  
  NeurIPS 2025 | July 2025
  
  DOI Publication Publication
- Dyn-O: Building Structured World Models with Object-Centric Representations
  
  Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
  
  NeurIPS 2025 | July 2025
  
  DOI
- It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
  
  Jikai Jin, Lester Mackey, Vasilis Syrgkanis
  
  NeurIPS 2025 | July 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
  
  Qingming Liu, Zhen Liu, Dinghuai Zhang, Kui Jia
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  Publication 项目项目
- 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
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2025
  
  Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI
- TRAP: Targeted Redirecting of Agentic Preferences
  
  Hangoo Kang, Jehyeok Yeon, Gagandeep Singh
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI 项目
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO
  
  Lai Wei, Yuting Li, Chen Wang, Yue Wang, Linghe Kong, Weiran Huang, Lichao Sun
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- What Do Latent Action Models Actually Learn?
  
  Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Dynamic Risk Assessments for Offensive Cybersecurity Agents
  
  Boyi Wei, Benedikt Stroebl, Jiacen Xu, Joie Zhang, Zhou Li, Peter Henderson
  
  NeurIPS 2025 | May 2025
  
  DOI
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI
- One-Step Diffusion-Based Image Compression with Semantic Distillation
  
  Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Yuan Zhang, Yan Lu
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- PaTH Attention: Position Encoding via Accumulating Householder Transformations
  
  Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Reward Reasoning Model
  
  Jiaxin Guo, Zewen Chi, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, Furu Wei
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Text Generation Beyond Discrete Token Sampling
  
  Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Generative Pre-trained Autoregressive Diffusion Transformer
  
  Yuan Zhang, Jiacheng Jiang, Guoqing Ma, Zhiying Lu, Bo Wang, Haoyang Huang, Jian-min Yuan, Nan Duan
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
  
  Jiarui Yao, Yifan Hao, Hanning Zhang, Hanze Dong, Wei Xiong, Nan Jiang, Tong Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | April 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | April 2025
  
  DOI Publication Publication
- 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
  
  NeuIPS 2025 | March 2025
  
  DOI Publication Publication
- Validating LLM-as-a-Judge Systems under Rating Indeterminacy
  
  Luke Guerdan, Solon Barocas, Kenneth Holstein, Hanna Wallach, Zhiwei Steven Wu, Alex Chouldechova
  
  NeurIPS 2025 | March 2025
  
  Publication
- Greedy Algorithm for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
  
  Aleksandrs Slivkins, Yunzong Xu, Shiliang Zuo
  
  NeurIPS 2025 | March 2025
  
  DOI Publication Publication
- EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
  
  Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang
  
  NeurIPS 2025 | March 2025
  
  DOI
- Conformal Linguistic Calibration: Trading-off between Factuality and Specificity
  
  Zhengping Jiang, Anqi Liu, Ben Van Durme
  
  NeurIPS 2025 | February 2025
  
  DOI
- Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
  
  Wenkai Yang, Shuming Ma, Yankai Lin, Furu Wei
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | February 2025
  
  Publication
- DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
  
  Julien N. Siems, Timur Carstensen, Arber Zela, Frank Hutter, M. Pontil, Riccardo Grazzi
  
  NeurIPS 2025 | February 2025
  
  Publication
- Gradient Multi-Normalization for Stateless and Scalable LLM Training
  
  Meyer Scetbon, Chao Ma, Wenbo Gong, Edward Meeds
  
  NeurIPS 2025 | February 2025
  
  DOI
- Prompt Tuning Decision Transformers with Structured and Scalable Bandits
  
  Finn Rietz, Oleg Smirnov, Sara Karimi, Lele Cao
  
  NeurIPS 2025 | February 2025
  
  Publication Publication
- 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
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning
  
  Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Yiren Zhao, Guy-Bart Stan, Caihua Shan
  
  NeurIPS 2025 | February 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | January 2025
  
  DOI
- Toward Relative Positional Encoding in Spiking Transformers
  
  Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
  
  NeurIPS 2025 | January 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation
  
  Jitesh Jain, Zhengyuan Yang, Humphrey Shi, Jianfeng Gao, Jianwei Yang
  
  NeurIPS 2025 | December 2024
  
  Publication
- 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
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | December 2024
  
  DOI Publication Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
  
  Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
  
  PDF
- LoRA vs Full Fine-tuning: An Illusion of Equivalence
  
  Reece Shuttleworth, Jacob Andreas, Antonio Torralba, Pratyusha Sharma, Pratyusha Sharma
  
  NeurIPS 2025 | October 2024
  
  DOI Publication Publication
- Fast constrained sampling in pre-trained diffusion models
  
  Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras
  
  NeurIPS 2025 | October 2024
  
  DOI Publication Publication
- Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
  
  Kai Wang, Siqiang Luo, Caihua Shan, Yifei Shen
  
  NeurIPS 2025 | October 2024
  
  Publication
- 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
  
  NeurIPS 2025 | September 2024
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | September 2024
  
  Best Paper Award | ENLSP NeurIPS Workshop 2024
  
  Publication
- 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
  
  NeurIPS 2025 | June 2024
  
  Publication
- Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search
  
  Sebastian Bruch, Aditya Krishnan, F. M. Nardini
  
  NeurIPS 2025 | May 2024
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | June 2023
  
  Publication
- Disarming Strategic Text: Span-Aware Counterfactuals for Robust Content Moderation
  
  Hardik Meisheri, Muhammad Zaid Hassan, Swati Tiwari, Puneet Mangla, Samarth Bharadwaj, Karthik Sankaranarayanan, Amit Singh
  
  October 2025
  
  Publication

Microsoft at NeurIPS 2025

论文与出版物

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

Improved Algorithms for Fair Matroid Submodular Maximization

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

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

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

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

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

NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery

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

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

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

Generative Caching for Structurally Similar Prompts and Responses

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

Interpretable Next-token Prediction via the Generalized Induction Head

A Unified Approach to Submodular Maximization Under Noise

Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples

Language Ranker: A Lightweight Ranking framework for LLM Decoding

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models

Kirby-Judge: Think Once, Judge Anywhere

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

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

Chain-of-Retrieval Augmented Generation

Next Semantic Scale Prediction via Hierarchical Diffusion Language Models

Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion

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

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

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

Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations

Disarming Strategic Text: Span-Aware Counterfactuals for Robust Content Moderation

Do LLMs Comply Differently During Tests? And Can We Steer That?

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

Enhancing Graph Classification Robustness with Singular Pooling

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

For Better or for Worse, Transformers Seek Patterns for Memorization

Functional Complexity-adaptive Temporal Tensor Decomposition

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

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

Native Hybrid Thinking Models

Omnidirectional 3D Scene Reconstruction from Single Image

On the Hardness of Conditional Independence Testing In Practice

Parameter-Free Last-Iterate Convergence of Counterfactual Regret Minimization Algorithms

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

Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics

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

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

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

RoboSeer: Video Generators Can Be Generalizable Robot Manipulators

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

Self-distilled Attention Gating for Efficient Long-context Prefilling

Towards Automated Petrography

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

Value Gradient Guidance for Flow Matching Alignment

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

Bayesian Concept Bottleneck Models with LLM Priors

On Optimal Steering to Achieve Exact Fairness

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

Informed Correctors for Discrete Diffusion Models

ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation

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

Learning to Solve Complex Problems via Dataset Decomposition

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

SAS: Simulated Attention Score

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

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

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

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

It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation

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

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

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

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

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

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

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

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

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

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

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