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NeurIPS 2025: all accepted papers

5,819 papers · page 48 of 59 · the most cited first · ← NeurIPS 2025

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  1. Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization ↗Yang Qiu, Yixiong Zou, Jun Wang et al.
  2. Quantifying Elicitation of Latent Capabilities in Language Models ↗Elizabeth Donoway, Hailey Joren, Arushi Somani et al.
  3. Quantifying Generalisation in Imitation Learning ↗Nathan Gavenski, Odinaldo Rodrigues
  4. Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference ↗Mizuki Niihori, Shuichi Nishino, Teruyuki Katsuoka et al.
  5. Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations ↗Yu (Eric) Qian, Wilson S. Geisler, Xue-Xin Wei
  6. Quantifying Uncertainty in the Presence of Distribution Shifts ↗Yuli Slavutsky, David M. Blei
  7. Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions ↗Simon Matrenok, Skander Moalla, Çağlar Gülçehre
  8. Quantitative convergence of trained neural networks to Gaussian processes ↗Andréa Agazzi, Eloy Mósig García, Dario Trevisan
  9. Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization ↗Yamato Arai, Yuma Ichikawa
  10. Quantization-Free Autoregressive Action Transformer ↗Ziyad Sheebaelhamd, Michael Tschannen, Michael Muehlebach et al.
  11. Quantum Speedups for Minimax Optimization and Beyond ↗Chengchang Liu, Zongqi Wan, John C. S. Lui
  12. Quantum Visual Fields with Neural Amplitude Encoding ↗Shuteng Wang, Christian Theobalt, Vladislav Golyanik
  13. Quantum speedup of non-linear Monte Carlo problems ↗José Blanchet, Yassine Hamoudi, Márió Szegedy et al.
  14. Quartet: Native FP4 Training Can Be Optimal for Large Language Models ↗Roberto L. Castro, Andrei Panferov, Soroush Tabesh et al.
  15. Quasi-Self-Concordant Optimization with ∞ Lewis Weights ↗Alina Ene, Ta Duy Nguyen, Adrian Vladu
  16. Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph ↗Gautam Kamath, Alireza F. Pour, Matthew Regehr et al.
  17. QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks? ↗Belinda Li, Been Kim, Zi Wang
  18. R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing ↗Tianyu Fu, Yi Ge, Yichen You et al.
  19. RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis ↗Haolin Li, Tianjie Dai, Zhe Chen et al.
  20. RADAR: Benchmarking Language Models on Imperfect Tabular Data ↗Ken Gu, Z.H. Zhang, Kate Lin et al.
  21. RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models ↗Jiarui Zhang, Xiangyu Liu, Yong Sheng Hu et al.
  22. RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis ↗YANG SONGXIAO, Haolin Wang, Yao Fu et al.
  23. RANK++LETR: Learn to Rank and Optimize Candidates for Line Segment Detection ↗Xin Tong, Baojie Tian, Yufei Guo et al.
  24. RAPTR: Radar-based 3D Pose Estimation using Transformer ↗Sorachi Kato, Ryoma Yataka, Pu Perry Wang et al.
  25. RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling ↗Xiuying Wei, Anunay Yadav, Razvan Pascanu et al.
  26. RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases ↗Dongwon Choi, Sunwoo Kim, Ju‐Yeon Kim et al.
  27. RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks ↗Mingxuan Yan, Yuping Wang, Zechun Liu et al.
  28. REASONING COMPILER: LLM-Guided Optimizations for Efficient Model Serving ↗Annabelle Sujun Tang, Christopher Priebe, Rohan Mahapatra et al.
  29. REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning ↗Shuguang Wang, Qian Zhou, Kui Wu et al.
  30. REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing ↗Weihan Xu, Yimeng Ma, Jingyue Huang et al.
  31. REINFORCE Converges to Optimal Policies with Any Learning Rate ↗Samuel Robertson, Thang Chu, Bo Dai et al.
  32. REMI: Reconstructing Episodic Memory During Internally Driven Path Planning ↗Zhaoze Wang, Genela Morris, Dori Derdikman et al.
  33. RESPIN-S1.0: A read speech corpus of 10000+ hours in dialects of nine Indian Languages ↗Saurabh Kumar, Abhayjeet Singh, G Deekshitha et al.
  34. RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis ↗Robin Yadav, Qi Yan, Guy Wolf et al.
  35. RF-Agent: Automated Reward Function Design via Language Agent Tree Search ↗Ning Gao, Xiuhui Zhang, Xingyu Jiang et al.
  36. RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes ↗Fang Li, Hao Zhang, Narendra Ahuja
  37. RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees ↗Eilon Vaknin, Boaz Nadler
  38. RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility ↗Haoyu He, Haozheng Luo, Yan Chen et al.
  39. RLZero: Direct Policy Inference from Language Without In-Domain Supervision ↗Harshit Sikchi, Siddhant Agarwal, Pranaya Jajoo et al.
  40. RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models ↗Yiqi Tian, Pengfei Jin, Mingze Yuan et al.
  41. ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge ↗Manh Cuong Dao, The Hung Tran, Phi Le Nguyen et al.
  42. ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks ↗Philip Schroeder, Ondřej Bíža, Thomas Weng et al.
  43. RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models ↗Zukang Xu, Xing Hu, Qiang Wu et al.
  44. RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards ↗jingnan zheng, Xiangtian Ji, Yijun Lu et al.
  45. RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator ↗SangYong Lee, Sangjun Chung, Simon Woo
  46. RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality ↗Chenlong Zhang, Zhuoran Jin, Hong Yuan et al.
  47. RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts ↗Xuming He, Zhiyuan You, Junchao Gong et al.
  48. Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays ↗Songchen Fu, Siang Chen, Shaojing Zhao et al.
  49. Random Forest Autoencoders for Guided Representation Learning ↗Adrien Aumon, Shuang Ni, Myriam Lizotte et al.
  50. Random Search Neural Networks for Efficient and Expressive Graph Learning ↗Michael Ito, Danai Koutra, Jenna Wiens
  51. Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2 ↗Joel Valdivia Ortega, Lorenz Lamm, Franziska Eckardt et al.
  52. RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation ↗Zixun Wang, Ben Dai
  53. Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback ↗Yi-Lun Wu, Bo-Kai Ruan, Chiang Tseng et al.
  54. Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion ↗Vinh Tong, Trung Dung Hoang, Anji Liu et al.
  55. Rao-Blackwellised Reparameterisation Gradients ↗Kevin H. Lam, Thang D. Bui, George Deligiannidis et al.
  56. Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow ↗Hanlin Wu, Yuxuan Song, Zhe Zhang et al.
  57. RayFusion: Ray Fusion Enhanced Collaborative Visual Perception ↗Shaohong Wang, Lu Bin, Xinyu Xiao et al.
  58. Re-coding for Uncertainties: Edge-awareness Semantic Concordance for Resilient Event-RGB Segmentation ↗Nan Bao, Yifan Zhao, Lin Zhu et al.
  59. ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents ↗Zhenyu Zhang, Tianyi Chen, Weiran Xu et al.
  60. ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection ↗Haowei Zhu, Tianxiang Pan, Rui Qin et al.
  61. ReDit: Reward Dithering for Improved LLM Policy Optimization ↗Chenxing Wei, Jiarui Yu, Ying He et al.
  62. ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG ↗Yongli Hu, Zhu Jifeng, Lanrui Tang et al.
  63. RePO: Understanding Preference Learning Through ReLU-Based Optimization ↗Junkang Wu, Kexin Huang, xue wang et al.
  64. Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets ↗Runhan Shi, Letian Chen, Gufeng Yu et al.
  65. Real-DRL: Teach and Learn at Runtime ↗Yanbing Mao, Yihao Cai, Lui Sha
  66. Real-World Reinforcement Learning of Active Perception Behaviors ↗Edward S. Hu, Jie Wang, Xingfang Yuan et al.
  67. Reasoning Is Not a Race: When Stopping Early Beats Going Deeper ↗Mohan Zhang, Jiaxuan Gao, Shusheng Xu et al.
  68. Reasoning Models Hallucinate More: Factuality-Aware Reinforcement Learning for Large Reasoning Models ↗Junyi Li, Hwee Tou Ng
  69. Reasoning Models Sometimes Output Illegible Chains of Thought ↗Arun Jose
  70. Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning ↗Jiwon Song, Dongwon Jo, Yulhwa Kim et al.
  71. Reasoning Planning for Language Models ↗Ngoc Bao Nguyen, Trung Hieu Nguyen, Ruifeng She et al.
  72. Reasoning as an Adaptive Defense for Safety ↗Taeyoun Kim, Fahim Tajwar, Aditi Raghunathan et al.
  73. Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought ↗Hanlin Zhu, Shibo Hao, Zhiting Hu et al.
  74. Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling ↗Yihong Dong, Ge Li, Xue Jiang et al.
  75. Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval ↗Jian Xiao, Zijie Song, Jialong Hu et al.
  76. Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning ↗Wensong Bai, Chufan Chen, Yichao Fu et al.
  77. Reconciling Geospatial Prediction and Retrieval via Sparse Representations ↗YI LI, CHEN YUANLONG, Weiming Huang et al.
  78. Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery ↗Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker et al.
  79. Reconstruction and Secrecy under Approximate Distance Queries ↗Shay Moran, E.V. Nesterova
  80. Rectified CFG++ for Flow Based Models ↗Shreshth Saini, Shashank Gupta, Alan Conrad Bovik
  81. Rectifying Shortcut Behaviors in Preference-based Reward Learning ↗Wenqian Ye, Guangtao Zheng, Aidong Zhang
  82. Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation ↗Chenyang Jiang, Hang Zhao, Xinyu Zhang et al.
  83. Recurrent Memory for Online Interdomain Gaussian Processes ↗Wenlong Chen, Naoki Kiyohara, Harrison Zhu et al.
  84. Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians ↗Akiyoshi Tomihari, Ryo Karakida
  85. Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems ↗Ibrahim Alabdulmohsin, Xiaohua Zhai
  86. Recursive Transformer: Boosting Reasoning Ability with State Stack ↗Kechi Zhang, Ge Li, Huangzhao Zhang et al.
  87. Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling ↗Yu Cao, Yibo Miao, Xiao-Shan Gao et al.
  88. Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation ↗Zuhair Hasan Shaik, Abdullah Mazhar, Aseem Srivastava et al.
  89. Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference ↗Stephen Zhao, Aidan Li, Rob Brekelmans et al.
  90. Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning ↗Congyu Qiao, Ning Xu, Yihao Hu et al.
  91. RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models ↗Yilang Zhang, Bingcong Li, Georgios B. Giannakis
  92. Refinement Methods for Distributed Distribution Estimation under p-Losses ↗Deheng Yuan, Tao Guo, Zhongyi Huang
  93. Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks ↗Jiawei Gu, Ziyue Qiao, Zechao Li
  94. Reframing Gaussian Splatting Densification with Complexity-Density Consistency of Primitives ↗Zhemeng Dong, Junjun Jiang, Youyu Chen et al.
  95. Regional Explanations: Bridging Local and Global Variable Importance ↗Salim I. Amoukou, Nicolas Brunel
  96. Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection ↗Yuyang Yu, Zhengwei Chen, Xuemiao Xu et al.
  97. Regression Trees Know Calculus ↗Nathan Wycoff
  98. Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach ↗Swetha Ganesh, Vaneet Aggarwal
  99. Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback ↗Orin Levy, Liad Erez, Alon Cohen et al.
  100. Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems ↗Utkarsh U. Chavan, Prashant Trivedi, N. Hemachandra

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