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NeurIPS 2025: all accepted papers

5,819 papers · page 45 of 59 · the most cited first · ← NeurIPS 2025

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  1. On the sample complexity of semi-supervised multi-objective learning ↗Tobias Wegel, Geelon So, Junhyung Park et al.
  2. On topological descriptors for graph products ↗Mattie Ji, Amauri Holanda de Souza Junior, Vikas Garg
  3. On-Policy Optimization with Group Equivalent Preference for Multi-Programming Language Understanding ↗Haoyuan Wu, Rui Ming, Jilong Gao et al.
  4. Once Upon an Input: Reasoning via Per-Instance Program Synthesis ↗Adam Stein, Neelay Velingker, Mayur Naik et al.
  5. One Filters All: A Generalist Filter For State Estimation ↗Shiqi Liu, Wenhan Cao, Chang Liu et al.
  6. One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head ↗Junhao Xia, Haotian Zhu, Shuchao Pang et al.
  7. One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs ↗Pengbo Wang, Chaozhuo Li, Chenxu Wang et al.
  8. One Sample is Enough to Make Conformal Prediction Robust ↗Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
  9. One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning ↗Zijian Guo, İlker Işık, H. M. Sabbir Ahmad et al.
  10. One Token Embedding Is Enough to Deadlock Your Large Reasoning Model ↗Mohan Zhang, Yihua Zhang, Jinghan Jia et al.
  11. One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding ↗Zheyu Zhang, Ziqi Pang, Shixing Chen et al.
  12. One for All: Universal Topological Primitive Transfer for Graph Structure Learning ↗Yide Qiu, Tong Zhang, Xing Cai et al.
  13. One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling ↗Nimrod Berman, Ilan Naiman, Moshe Eliasof et al.
  14. Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time ↗Francesco Bacchiocchi, Matteo Castiglioni, Roberto Colomboni et al.
  15. Online Experimental Design With Estimation-Regret Trade-off Under Network Interference ↗Zhiheng Zhang, Zichen Wang
  16. Online Feedback Efficient Active Target Discovery in Partially Observable Environments ↗Anindya Sarkar, Baoxian Ji, Yevgeniy Vorobeychik
  17. Online Learning in the Repeated Mediated Newsvendor Problem ↗Nataša Bolić, Tommaso Cesari, Roberto Colomboni et al.
  18. Online Learning of Neural Networks ↗Amit Daniely, Idan Mehalel, Elchanan Mossel
  19. Online Learning of Pure States is as Hard as Mixed States ↗Maxime Meyer, Soumik Adhikary, Naixu Guo et al.
  20. Online Locally Differentially Private Conformal Prediction via Binary Inquiries ↗Qiangqiang Zhang, Chenfei Gu, Xinwei Feng et al.
  21. Online Multi-Class Selection with Group Fairness Guarantee ↗Faraz Zargari, Hossein Nekouyan, Lyndon Hallett et al.
  22. Online Portfolio Selection with ML Predictions ↗Ziliang Zhang, Tianming Zhao, Albert Y. Zomaya
  23. Online Prediction with Limited Selectivity ↗Licheng Liu, Mingda Qiao
  24. Online Strategic Classification With Noise and Partial Feedback ↗Tianrun Zhao, Xiaojie Mao, Yong Liang
  25. Online Time Series Forecasting with Theoretical Guarantees ↗Zijian Li, Changze Zhou, Minghao Fu et al.
  26. Online Two-Stage Submodular Maximization ↗Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis et al.
  27. Online robust locally differentially private learning for nonparametric regression ↗Chenfei Gu, Qiangqiang Zhang, Ting Li et al.
  28. Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents ↗Yaxin Luo, Zhaoyi Li, Jiacheng Liu et al.
  29. Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring ↗Yuyan Chen, Nico Lang, B. Schmidt et al.
  30. Open-Vocabulary Part Segmentation via Progressive and Boundary-Aware Strategy ↗Xinlong Li, Di Lin, Shaoyiyi Gao et al.
  31. OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields ↗Lisa Weijler, Sebastian Koch, Fabio Poiesi et al.
  32. OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data ↗Hao Luo, Zihao Yue, Wanpeng Zhang et al.
  33. OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis ↗Run Luo, Ting-En Lin, Haonan Zhang et al.
  34. Opinion Maximization in Social Networks by Modifying Internal Opinions ↗Gengyu Wang, Runze Zhang, Zhongzhi Zhang
  35. Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges ↗Shuwen Wei, Samuel W. Remedios, Blake E. Dewey et al.
  36. Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect ↗Ruiyang Lin, Yongyi Guo, Kyra Gan
  37. Optimal Best Arm Identification under Differential Privacy ↗Marc Jourdan, Achraf Azize
  38. Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency ↗Kelvin Kan, Xingjian Li, Benjamin Zhang et al.
  39. Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning ↗Baiyuan Chen, Shinji Ito, Masaaki Imaizumi
  40. Optimal Estimation of the Best Mean in Multi-Armed Bandits ↗Takayuki Osogami, Junya Honda, Junpei Komiyama
  41. Optimal Graph Clustering without Edge Density Signals ↗Maximilien Dreveton, Elaine Liu, Matthias Grossglauser et al.
  42. Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs ↗Geonho Hwang
  43. Optimal Mistake Bounds for Transductive Online Learning ↗Zachary Chase, Steve Hanneke, Shay Moran et al.
  44. Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff ↗Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
  45. Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics ↗Sean McGrath, Debarghya Mukherjee, Rajarshi Mukherjee et al.
  46. Optimal Online Change Detection via Random Fourier Features ↗Florian Kalinke, Shakeel Gavioli-Akilagun
  47. Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification ↗Yuanfan Li, Yunwen Lei, Zheng-Chu Guo et al.
  48. Optimal Rates in Continual Linear Regression via Increasing Regularization ↗Ran Levinstein, Amit Attia, Matan Schliserman et al.
  49. Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning ↗Tuan Dam
  50. Optimal Regret of Bandits under Differential Privacy ↗Achraf Azize, Yulian Wu, Junya Honda et al.
  51. Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling ↗Yufan Li, Pragya Sur
  52. Optimal community detection in dense bipartite graphs ↗Julien Chhor, Parker Knight
  53. Optimal kernel regression bounds under energy-bounded noise ↗Amon Lahr, Johannes Köhler, Anna Scampicchio et al.
  54. Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions ↗Yanna Ding, Songtao Lu, Yingdong Lu et al.
  55. Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality ↗Yu-Hu Yan, Peng Zhao, Zhi‐Hua Zhou
  56. Optimization Inspired Few-Shot Adaptation for Large Language Models ↗Boyan Gao, Xin Wang, Yibo Yang et al.
  57. Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization ↗Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard et al.
  58. Optimize the Unseen - Fast NeRF Cleanup with Free Space Prior ↗Leo Segre, Shai Avidan
  59. Optimizing Anytime Reasoning via Budget Relative Policy Optimization ↗Penghui Qi, Zichen Liu, Tianyu Pang et al.
  60. Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL ↗Jiarui Yao, Yifan Hao, Hanning Zhang et al.
  61. Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation ↗Xiao Cui, Yulei Qin, Wengang Zhou et al.
  62. Optimizing Retrieval for RAG via Reinforcement Learning ↗Jiawei Zhou, Lei Chen
  63. Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning ↗Hongjoon Ahn, H.G. Choi, Jisu Han et al.
  64. Oracle-Efficient Combinatorial Semi-Bandits ↗Junghun Kim, Milan Vojnović, Min-hwan Oh
  65. OrdShap: Feature Position Importance for Sequential Black-Box Models ↗Davin Hill, Brian Hill, Aria Masoomi et al.
  66. Order-Level Attention Similarity Across Language Models: A Latent Commonality ↗Jinglin Liang, Jin Zhong, Shuangping Huang et al.
  67. Orientation Matters: Making 3D Generative Models Orientation-Aligned ↗Yichong Lu, Yuzhuo Tian, Zijin Jiang et al.
  68. Orochi: Versatile Biomedical Image Processor ↗Gaole Dai, Chenghao Zhou, Yu Zhou et al.
  69. Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data ↗Dennis Frauen, Maresa Schröder, Konstantin Heß et al.
  70. Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL ↗Juan Claude Formanek, Omayma Mahjoub, Louay Ben Nessir et al.
  71. Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits ↗Fan Chen, Zeyu Jia, Alexander Rakhlin et al.
  72. Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning ↗Julian Minder, Clément Dumas, Caden Juang et al.
  73. P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models ↗Tingjia Shen, Hao Wang, Chuhan Wu et al.
  74. PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies? ↗Atharva Gundawar, Som Sagar, Ransalu Senanayake
  75. PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders ↗Ruixin Guo, Ruoming Jin, Xinyu Li et al.
  76. PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs ↗Seungyoo Lee, Giung Nam, Moonseok Choi et al.
  77. PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination ↗Hyunseung Lim, Sooyohn Nam, Sungmin Na et al.
  78. PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling ↗Guilin Li, Yun Zhang, Xiuyuan Chen et al.
  79. PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries ↗Steven Kolawole, Keshav Santhanam, Virginia Smith et al.
  80. PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding ↗Ansel Blume, Jeonghwan Kim, Hyeonjeong Ha et al.
  81. PASS: Path-selective State Space Model for Event-based Recognition ↗Jizhou Zhou, Kanghao Chen, Lei Zhang et al.
  82. PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors ↗Yujin Chen, Yinyu Nie, Benjamin Ummenhofer et al.
  83. PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network ↗Mingyao Zhou, Hao Sun, Wei Xie et al.
  84. PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling ↗Minju Jo, Woojin Cho, Uvini Balasuriya Mudiyanselage et al.
  85. PDPO: Parametric Density Path Optimization ↗S. Hernández, Peng Chen, Haomin Zhou
  86. PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling ↗Andrea Bonfanti, Ismael Medina, Roman List et al.
  87. PINNs with Learnable Quadrature ↗Sourav Pal, Kamyar Azizzadenesheli, Vikas Singh
  88. PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting ↗Haobo Li, Eunseo Jung, Zixin CHEN et al.
  89. PIVNO: Particle Image Velocimetry Neural Operator ↗Xu Jie, Xuesong Zhang, Jing Jiang et al.
  90. PLD: A Choice-Theoretic List-Wise Knowledge Distillation ↗Ejafa Bassam, Dawei Zhu, Kaigui Bian
  91. PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models ↗Tonglong Wei, Yan Lin, Youfang Lin et al.
  92. PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series ↗Xinghong Chen, Weilin Wu, Kunping Yang et al.
  93. POCO: Scalable Neural Forecasting through Population Conditioning ↗Yu Duan, Hamza Tahir Chaudhry, Misha B. Ahrens et al.
  94. PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching ↗WANG Yun, Junjie Hu, Qiaole Dong et al.
  95. PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors ↗Hilal Asi, Vitaly Feldman, Hannah Keller et al.
  96. PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation ↗Jiabei Cheng, Changxi Chi, Jingbo Zhou et al.
  97. PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs ↗Jaewon Chu, Seunghun Lee, Hyunwoo J. Kim
  98. PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models ↗Ruiqi Wang, Dezhong Zhao, Ziqin Yuan et al.
  99. PROFIT: A Specialized Optimizer for Deep Fine Tuning ↗Anirudh Chakravarthy, Shuai Zheng, Xin Huang et al.
  100. PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models ↗Pawan Neupane, Jian Liu, Jianlin Jack Cheng

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