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NeurIPS 2025: all accepted papers

5,819 papers · page 49 of 59 · the most cited first · ← NeurIPS 2025

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  1. Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning ↗Haochen Zhang, Zhong Yi Zheng, Lingzhou Xue
  2. ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning ↗Tonghe Zhang, Chao Yu, Sichang Su et al.
  3. Reinforced Context Order Recovery for Adaptive Reasoning and Planning ↗Long Ma, Fangwei Zhong, Yizhou Wang
  4. Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation ↗Yifu Luo, Xinhao Hu, Keyu Fan et al.
  5. Reinforcement Learning Teachers of Test Time Scaling ↗Edoardo Cetin, Tianyu Zhao, Yujin Tang
  6. Reinforcement Learning with Backtracking Feedback ↗Bilgehan Sel, Vaishakh Keshava, Phillip Wallis et al.
  7. Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach ↗Chenbei Lu, Zaiwei Chen, Tongxin Li et al.
  8. Reinforcement learning for one-shot DAG scheduling with comparability identification and dense reward ↗Xumai Qi, Dongdong Zhang, Taotao Liu et al.
  9. Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models ↗Zemin Huang, Zhiyang Chen, Zijun Wang et al.
  10. Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering ↗Clément Yvernes, Émilie Devijver, Adèle H. Ribeiro et al.
  11. Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance ↗Qiang Zhang, Fanrui Zhang, Jiawei Liu et al.
  12. Reliably detecting model failures in deployment without labels ↗Viet Nguyen, Changjian Shui, Vijay Giri et al.
  13. Relieving the Over-Aggregating Effect in Graph Transformers ↗Junshu Sun, Wanxing Chang, Chenxue Yang et al.
  14. Remarkable Robustness of LLMs: Stages of Inference? ↗Vedang Lad, Jin Hwa Lee, Wes Gurnee et al.
  15. Removing Concepts from Text-to-Image Models with Only Negative Samples ↗Hanwen Liu, Yadong Mu
  16. RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models ↗Chenxu Niu, Jie Zhang, Yanbing Liu et al.
  17. RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation ↗Boyuan Cao, Jiaxin Ye, Yujie Wei et al.
  18. Reparameterized LLM Training via Orthogonal Equivalence Transformation ↗Zeju Qiu, Simon Buchholz, Tim Xiao et al.
  19. ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization ↗Dmitriy Shopkhoev, Ammar Ali, Magauiya Zhussip et al.
  20. Replicable Distribution Testing ↗Ilias Diakonikolas, Jingyi Gao, Daniel M. Kane et al.
  21. Replicable Online pricing ↗Kiarash Banihashem, MohammadHossein Bateni, Hossein Esfandiari et al.
  22. RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving ↗Huacan Wang, Ziyi Ni, Shuo Zhang et al.
  23. Representation Consistency for Accurate and Coherent LLM Answer Aggregation ↗Junqi Jiang, Tom Bewley, Salim I. Amoukou et al.
  24. Representational Difference Explanations ↗Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
  25. Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis ↗Alistair P. Shilton, Sunil Gupta, Santu Rana et al.
  26. Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design ↗Nianzu Yang, Songlin Jiang, Jian Ma et al.
  27. Rescaled Influence Functions: Accurate Data Attribution in High Dimension ↗Ittai Rubinstein, Samuel B. Hopkins
  28. Residual Stream Analysis of Overfitting And Structural Disruptions ↗Quan Liu, Han Zhou, Wenquan Wu et al.
  29. Resolution of Simpson's paradox via the common cause principle ↗A. A. Hovhannisyan, ARMEN E. ALLAHVERDYAN
  30. Resounding Acoustic Fields with Reciprocity ↗Zhijun Lan, Yiduo Hao, Mingmin Zhao
  31. RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation ↗Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais et al.
  32. ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning ↗Timo Kaufmann, Yannick Metz, Daniel A. Keim et al.
  33. Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video ↗Jixuan He, Chieh Lin, Lu Qi et al.
  34. Restoring Pruned Large Language Models via Lost Component Compensation ↗Zijian Feng, Hanzhang Zhou, Zixiao Zhu et al.
  35. Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification ↗Jingyuan Zhang, Xin Wang, Lei Yu et al.
  36. Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions ↗Jhanvi Garg, Krishnakumar Balasubramanian, Quan Zhou
  37. Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality ↗M.K. Park, Heeji Won, Won Woo Ro et al.
  38. Rethinking Fair Federated Learning from Parameter and Client View ↗Kaiqi Guan, Wenke Huang, Xianda Guo et al.
  39. Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning ↗Feng Chen, Allan Raventós, Nan Cheng et al.
  40. Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator ↗Shuchang Zhang, Yaoyun Zeng, Kangkang Deng et al.
  41. Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation ↗Wei Wang, Haifeng Xia, Chao Huang et al.
  42. Rethinking Losses for Diffusion Bridge Samplers ↗Sebastian Sanokowski, Lukas Gruber, Christoph Bartmann et al.
  43. Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling ↗Hao Chen, Guorong Lu, Yasuyuki Okoshi et al.
  44. Rethinking PCA Through Duality ↗Jan Quan, Johan A. K. Suykens, Panagiotis Patrinos
  45. Rethinking Residual Distribution in Locate-then-Edit Model Editing ↗Xiaopeng Li, Shangwen Wang, Shasha Li et al.
  46. Rethinking Tokenized Graph Transformers for Node Classification ↗Jinsong Chen, Chenyang Li, Gaichao Li et al.
  47. Rethinking Verification for LLM Code Generation: From Generation to Testing ↗Zihan Ma, Taolin Zhang, Maosong Cao et al.
  48. Rethinking the Role of Verbatim Memorization in LLM Privacy ↗Tom Sander, Bargav Jayaraman, Mark Ibrahim et al.
  49. Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models ↗Wentse Chen, Jiayu Chen, Fahim Tajwar et al.
  50. Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs ↗Mianchu Wang, Giovanni Montana
  51. Revealing Multimodal Causality with Large Language Models ↗Jin Li, Shoujin Wang, Qi Zhang et al.
  52. Reverse Diffusion Sequential Monte Carlo Samplers ↗Luhuan Wu, Yi Han, Christian A. Naesseth et al.
  53. Reverse Engineering Human Preferences with Reinforcement Learning ↗Lisa Alazraki, Tan Yi-Chern, Jon Ander Campos et al.
  54. Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design ↗Jake Callahan, Andrew Chin, Jason Pacheco et al.
  55. Revising and Falsifying Sparse Autoencoder Feature Explanations ↗George Ma, Samuel Pfrommer, Somayeh Sojoudi
  56. Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency ↗Kenta Niwa, Yuki Takezawa, Guoqiang Zhang et al.
  57. Revisiting Agnostic Boosting ↗Arthur da Cunha, Mikael Møller Høgsgaard, Andrea Paudice et al.
  58. Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity ↗Kumar Kshitij Patel, Ali Zindari, Sebastian U. Stich et al.
  59. Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems ↗Jongyeong Lee, Junya Honda, Shinji Ito et al.
  60. Revisiting Frank-Wolfe for Structured Nonconvex Optimization ↗Hoomaan Maskan, Yikun Hou, Suvrit Sra et al.
  61. Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective ↗Yang Zhang, Xinran Li, Jianing Ye et al.
  62. Revisiting Orbital Minimization Method for Neural Operator Decomposition ↗Jongha Jon Ryu, Samuel Zhou, Gregory W. Wornell
  63. Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective ↗Jorge (Zhoujun) Cheng, Shibo Hao, Tianyang Liu et al.
  64. Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks ↗Giyeong Oh, Woohyun Cho, Siyeol Kim et al.
  65. Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening ↗Jiawei Gu, Ziyue Qiao, Xinming Li et al.
  66. Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models ↗Chenrui Cao, Liangcheng Song, Zhongyu Li et al.
  67. Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN ↗Jiaxin Wu, Chenglong Pang, Guangxiong Chen et al.
  68. Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models ↗Haidong Kang, Lihong Lin, Hanling Wang
  69. Reward-Aware Proto-Representations in Reinforcement Learning ↗Hon Tik Tse, Siddarth Chandrasekar, Marlos C. Machado
  70. Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation ↗Yihong Luo, Tianyang Hu, Weijian Luo et al.
  71. Reward-oriented Causal Representation Learning ↗Zirui Yan, Emre Acartürk, Ali Tajer
  72. RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents ↗Jingyi Yang, Shuai Shao, Dongrui Liu et al.
  73. RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching ↗Runze Ma, Zhongyue Zhang, Zichen Wang et al.
  74. Ridge Boosting is Both Robust and Efficient ↗David Bruns-Smith, Zhongming Xie, Avi Feller
  75. RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models ↗Junda Zhu, Jun Ai, Yujun Li et al.
  76. Riemannian Consistency Model ↗Chaoran Cheng, Yusong Wang, Yuxin Chen et al.
  77. Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds ↗Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
  78. Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction ↗Samuel Li, Pujith Kachana, Prajwal Chidananda et al.
  79. RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Data ↗Wenchao Ma, Dario Kneubuehler, Maurice Chu et al.
  80. Rising from Ashes: Generalized Federated Learning via Dynamic Parameter Reset ↗Jiahao Wu, Ming Hu, Yanxin Yang et al.
  81. Risk Bounds For Distributional Regression ↗Carlos Misael Madrid Padilla, Oscar Hernán Madrid Padilla, Sabyasachi Chatterjee
  82. Risk Management for Mitigating Benchmark Failure Modes: BenchRisk ↗Sean McGregor, Vassil Tashev, Armstrong Tita Foundjem et al.
  83. Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents ↗Jane H. Lee, Baturay Sağlam, Spyridon Pougkakiotis et al.
  84. Risk-Averse Total-Reward Reinforcement Learning ↗Xihong Su, Jia Lin Hau, Gersi Doko et al.
  85. Risk-aware Direct Preference Optimization under Nested Risk Measure ↗Lijun Zhang, Lin Li, Yuning Qi et al.
  86. RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting ↗Mohamad Hakam Shams Eddin, Yikui Zhang, Stefan J Kollet et al.
  87. RoFt-Mol: Benchmarking Robust Fine-tuning with Molecular Graph Foundation Models ↗Shikun Liu, Deyu Zou, Nima Shoghi et al.
  88. RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing ↗Fengxiang Wang, Yulin Wang, Mingshuo Chen et al.
  89. RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains ↗Tianle Pu, Zijie Geng, Haoyang Liu et al.
  90. RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models ↗Yingsha Xie, Rui Min, Zeyu Qin et al.
  91. RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo ↗Jueun Ko, Hyewon Park, Hyesong Choi et al.
  92. Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics ↗Dongyoung Kim, Sumin Park, Huiwon Jang et al.
  93. RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills ↗Chunru Lin, Haotian Yuan, Yian Wang et al.
  94. Robust Contextual Pricing ↗Anupam Gupta, Guru Guruganesh, Renato Paes Leme et al.
  95. Robust Cross-modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding ↗Yanglin Feng, Hongyuan Zhu, Dezhong Peng et al.
  96. Robust Distortion-Free Watermark for Autoregressive Audio Generation Models ↗Yihan Wu, Georgios Milis, Ruibo Chen et al.
  97. Robust Ego-Exo Correspondence with Long-Term Memory ↗Yijun Hu, Bing Fan, Xin Gu et al.
  98. Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention ↗Haijing Liu, Zhiyuan Song, Hefeng Wu et al.
  99. Robust Equilibria in Continuous Games: From Strategic to Dynamic Robustness ↗Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.
  100. Robust Estimation Under Heterogeneous Corruption Rates ↗Syomantak Chaudhuri, Jerry Li, Thomas A. Courtade

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