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NeurIPS 2025: all accepted papers

5,819 papers · page 1 of 59 · the most cited first · ← NeurIPS 2025

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  1. YOLOv12: Attention-Centric Real-Time Object Detectors ↗Yunjie Tian, Qixiang Ye, David Doermann744 citations
  2. MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language ModelsChaoyou Fu, Peixian Chen, Yunhang Shen et al.143 citations · our summary
  3. UMA: A Family of Universal Models for Atoms ↗Brandon M. Wood, Misko Dzamba, Xiang Fu et al.79 citations
  4. Why Do Multi-Agent LLM Systems Fail? ↗Mert Cemri, Melissa Pan, Shuyi Yang et al.48 citations
  5. Scaling Unlocks Broader Generation and Deeper Functional Understanding of Proteins ↗Aadyot Bhatnagar, Sarthak Jain, Joel Beazer et al.44 citations
  6. Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion ↗Xun Huang, Zhengqi Li, Guande He et al.42 citations
  7. Flow-GRPO: Training Flow Matching Models via Online RL ↗Jie Liu, Gongye Liu, Jiajun Liang et al.40 citations
  8. MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details ↗Ruicheng Wang, Sicheng Xu, Yue Dong et al.37 citations
  9. Video-R1: Reinforcing Video Reasoning in MLLMs ↗Kaituo Feng, Kaixiong Gong, Bohao Li et al.37 citations
  10. Mean Flows for One-step Generative Modeling ↗Zhengyang Geng, Mingyang Deng, Xingjian Bai et al.35 citations
  11. A-Mem: Agentic Memory for LLM AgentsWujiang Xu, Zujie Liang, Kai Mei et al.34 citations · our summary
  12. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity ↗Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh et al.33 citations
  13. DAPO: An Open-Source LLM Reinforcement Learning System at Scale ↗Qiying Yu, Zheng Zhang, Ruofei Zhu et al.30 citations
  14. Gymnasium: A Standard Interface for Reinforcement Learning Environments ↗Mark Towers, Ariel Kwiatkowski, John Balis et al.29 citations
  15. AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems ↗Yingxuan Yang, Huacan Chai, Shuai Shao et al.26 citations
  16. Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence ↗Diankun Wu, Fangfu Liu, Yi‐Hsin Hung et al.26 citations
  17. ImgEdit: A Unified Image Editing Dataset and Benchmark ↗Ye Yang, Xianyi He, Zongjian Li et al.25 citations
  18. AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning ↗Zewei Zhou, Tianhui Cai, Seth Z. Zhao et al.23 citations
  19. Large Language Diffusion ModelsShen Nie, Fengqi Zhu, Zebin You et al.23 citations · our summary
  20. OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning ↗Ling Fu, Zhebin Kuang, Jiajun Song et al.22 citations
  21. Position: Towards Bidirectional Human-AI Alignment ↗Hua Shen, Tiffany Knearem, Reshmi Ghosh et al.22 citations
  22. Titans: Learning to Memorize at Test Time ↗Ali Behrouz, Peilin Zhong, Vahab Mirrokni21 citations
  23. Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free ↗Zihan Qiu, Zekun Wang, Bo Zheng et al.19 citations
  24. MMaDA: Multimodal Large Diffusion Language Models ↗Ling Yang, Ye Tian, Bowen Li et al.19 citations
  25. PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis ↗Yan Wu, Esther Wershof, Sebastian M. Schmon et al.19 citations
  26. Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention ↗Shuang Wu, Youtian Lin, Feihu Zhang et al.18 citations
  27. Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer ↗Zechuan Zhang, Ji Xie, Yu Lu et al.18 citations
  28. Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors ↗Duo Zheng, Shijia Huang, Yanyang Li et al.18 citations
  29. OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles ↗Yihe Deng, Hritik Bansal, Fan Yin et al.18 citations
  30. FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving ↗Shuang Zeng, Xinyuan Chang, Mengwei Xie et al.17 citations
  31. Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective ↗Sifan Wang, Ananyae Kumar Bhartari, Bowen Li et al.17 citations
  32. Perception Encoder: The best visual embeddings are not at the output of the network ↗Daniel Bolya, Po-Yao Huang, Peize Sun et al.16 citations
  33. TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks ↗Frank F. Xu, Yufan Song, Boxuan Li et al.16 citations
  34. VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning ↗Haozhe Wang, Chao Qu, Zuming Huang et al.16 citations
  35. 3DRS: MLLMs Need 3D-Aware Representation Supervision for Scene Understanding ↗Xiaohu Huang, Jingjing Wu, Qunyi Xie et al.15 citations
  36. PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions ↗Taotao Jing, Tina Chen, Renran Tian et al.15 citations
  37. Show-o2: Improved Native Unified Multimodal Models ↗Jinheng Xie, Zhenheng Yang, Mike Zheng Shou15 citations
  38. Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing ↗Junfei Wu, Jian Guan, Kaituo Feng et al.14 citations
  39. From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D ↗Jiahui Zhang, Yu-Rui Chen, Yueming Xu et al.13 citations
  40. Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models ↗Haohan Chi, Huan-ang Gao, Ziming Liu et al.13 citations
  41. Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning ↗Alex Su, Haozhe Wang, Weiming Ren et al.13 citations
  42. RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics ↗Enshen Zhou, Jingkun An, Cheng Chi et al.13 citations
  43. Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling ↗Zhihao Li, Yufei Wang, Heliang Zheng et al.13 citations
  44. AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration ↗Andy Zhou, Kevin Wu, Francesco Pinto et al.12 citations
  45. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningShenzhi Wang, Le Yu, Chang Gao et al.12 citations · our summary
  46. T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT ↗Dongzhi JIANG, Ziyu Guo, Renrui Zhang et al.12 citations
  47. UniTok: a Unified Tokenizer for Visual Generation and Understanding ↗Chuofan Ma, Yi Jiang, Junfeng Wu et al.12 citations
  48. V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception ↗Lei Yang, Xinyu Zhang, Jun Li et al.12 citations
  49. VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching ↗Siyu Xu, Yunke Wang, Chenghao Xia et al.12 citations
  50. VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models ↗Xiangdong Zhang, Jiaqi Liao, Shaofeng Zhang et al.12 citations
  51. CSGO: Content-Style Composition in Text-to-Image Generation ↗Peng Xing, Haofan Wang, Yanpeng Sun et al.11 citations
  52. Cameras as Relative Positional Encoding ↗Ruilong Li, Brent Yi, Junchen Liu et al.11 citations
  53. Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing ↗Xiangyu Zhao, Peiyuan Zhang, Kexian Tang et al.11 citations
  54. LoRA vs Full Fine-tuning: An Illusion of Equivalence ↗Reece Shuttleworth, Jacob Andreas, Antonio B. Torralba et al.11 citations
  55. Perception-R1: Pioneering Perception Policy with Reinforcement Learning ↗En Yu, Kangheng Lin, Liang Zhao et al.11 citations
  56. RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning ↗Hao Gao, Shaoyu Chen, Bo Jiang et al.11 citations
  57. ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning ↗Mingyang Chen, Linzhuang Sun, Tianpeng Li et al.11 citations
  58. TabArena: A Living Benchmark for Machine Learning on Tabular Data ↗Nick Erickson, Lennart Purucker, Andrej Tschalzev et al.11 citations
  59. Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding ↗Ye Wang, Ziheng Wang, Boshen Xu et al.11 citations
  60. VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction ↗Chaoyou Fu, Haojia Lin, Xiong Wang et al.11 citations
  61. WorldMem: Long-term Consistent World Simulation with Memory ↗Zeqi Xiao, Yushi Lan, Yifan Zhou et al.11 citations
  62. 4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos ↗Zhen Xu, Zhengqin Li, Zhao Dong et al.10 citations
  63. EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test ↗Yuhui Li, Fangyun Wei, Chao Zhang et al.10 citations
  64. Faster Video Diffusion with Trainable Sparse Attention ↗Peiyuan Zhang, Yongqi Chen, Haofeng Huang et al.10 citations
  65. HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation ↗Haoran Luo, E Haihong, Guan-Ting Chen et al.10 citations
  66. KGGen: Extracting Knowledge Graphs from Plain Text with Language Models ↗Belinda Mo, Kyssen Yu, Joshua Kazdan et al.10 citations
  67. LLM Generated Persona is a Promise with a Catch ↗Ang Li, Haozhe Chen, Hongseok Namkoong et al.10 citations
  68. LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS ↗Wanhua Li, Yujie Zhao, Minghan Qin et al.10 citations
  69. Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search ↗Huanjin Yao, Jiaxing Huang, Wenhao Wu et al.10 citations
  70. Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations ↗Yuhao Yang, ZhI JI, Zhaopeng Li et al.10 citations
  71. TabDPT: Scaling Tabular Foundation Models on Real Data ↗Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh et al.10 citations
  72. Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs ↗Mantas Mazeika, Xuwang Yin, Rishub Tamirisa et al.10 citations
  73. Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding ↗Xiaoqian Shen, Wenxuan Zhang, Jun Chen et al.10 citations
  74. VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank ↗Tianhe Wu, Jian Zou, Jie Liang et al.10 citations
  75. Absolute Zero: Reinforced Self-play Reasoning with Zero Data ↗Andrew Zhao, Yiran Wu, Tong Wu et al.9 citations
  76. BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models ↗Evan R. Antoniuk, Shehtab Zaman, Tal Ben‐Nun et al.9 citations
  77. Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs ↗Qizhe Zhang, Mengzhen Liu, Lichen Li et al.9 citations
  78. CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing ↗Guozhen Zhu, Yuqian Hu, Weihang Gao et al.9 citations
  79. DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution ↗Zheng Chen, Zichen Zou, Kewei Zhang et al.9 citations
  80. DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge ↗Wenyao Zhang, Hongsi Liu, Zekun Qi et al.9 citations
  81. EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models ↗Yantai Yang, Yuhao Wang, Zichen Wen et al.9 citations
  82. Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals ↗Nate Gillman, Charles Herrmann, Michael Freeman et al.9 citations
  83. Improving Video Generation with Human Feedback ↗J.-M. Liu, Gongye Liu, Jiajun Liang et al.9 citations
  84. MoBA: Mixture of Block Attention for Long-Context LLMsEnzhe Lu, Zhejun Jiang, Jingyuan Liu et al.9 citations · our summary
  85. Nested Learning: The Illusion of Deep Learning Architectures ↗Ali Behrouz, Meisam Razaviyayn, Peilin Zhong et al.9 citations
  86. OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection ↗Zhongyu Xia, Jishuo Li, Zhiwei Lin et al.9 citations
  87. PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers ↗Yuchen Lin, Chenguo Lin, Panwang Pan et al.9 citations
  88. Q-Insight: Understanding Image Quality via Visual Reinforcement Learning ↗Weiqi Li, Xuanyu Zhang, Shijie Zhao et al.9 citations
  89. Real-Time Execution of Action Chunking Flow Policies ↗Kevin Black, Manuel Y. Galliker, Sergey Levine9 citations
  90. SpatialLM: Training Large Language Models for Structured Indoor Modeling ↗Y. J. Mao, Junhao Zhong, Chuan Fang et al.9 citations
  91. VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold ↗Dominic Maggio, Hyungtae Lim, Luca Carlone9 citations
  92. Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension ↗Yongdong Luo, Xiawu Zheng, Guilin Li et al.9 citations
  93. VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning ↗Qi Wang, Yanrui Yu, Ye Yuan et al.9 citations
  94. WISA: World simulator assistant for physics-aware text-to-video generation ↗Jing Wang, Ao Ma, Ke Cao et al.9 citations
  95. What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions ↗Sang Keun Choe, Hwijeen Ahn, Juhan Bae et al.9 citations
  96. BEDLAM2.0: Synthetic humans and cameras in motion ↗Joachim Tesch, Giorgio Becherini, Prerana Achar et al.8 citations
  97. BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning ↗Jianyang Gu, Samuel Stevens, Elizabeth Campolongo et al.8 citations
  98. CogVLA: Cognition-Aligned Vision-Language-Action Models via Instruction-Driven Routing & Sparsification ↗Wei Li, Renshan Zhang, Rui Shao et al.8 citations
  99. DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response ↗Junjue Wang, Weihao Xuan, Heli Qi et al.8 citations
  100. FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration ↗Luxi Chen, Zihan Zhou, Min Zhao et al.8 citations

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