---
title: "NeurIPS 2025 — all accepted papers — the most cited first"
description: "All 5,819 papers of NeurIPS 2025 · page 1 of 59, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/"
---
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# NeurIPS 2025: all accepted papers

5,819 papers · page 1 of 59 · the most cited first · [← NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

**1** [2](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/10/) … [59](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/59/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/2/)

1. **[YOLOv12: Attention-Centric Real-Time Object Detectors ↗](https://doi.org/10.52202/085713-2627)**Yunjie Tian, Qixiang Ye, David Doermann*744 citations*
2. **[MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/fu-2023-mme-comprehensive-evaluation-benchmark-multimodal/)**Chaoyou Fu, Peixian Chen, Yunhang Shen et al.*143 citations · our summary*
3. **[UMA: A Family of Universal Models for Atoms ↗](https://doi.org/10.52202/085713-4310)**Brandon M. Wood, Misko Dzamba, Xiang Fu et al.*79 citations*
4. **[Why Do Multi-Agent LLM Systems Fail? ↗](https://doi.org/10.52202/085713-4082)**Mert Cemri, Melissa Pan, Shuyi Yang et al.*48 citations*
5. **[Scaling Unlocks Broader Generation and Deeper Functional Understanding of Proteins ↗](https://doi.org/10.52202/085713-1536)**Aadyot Bhatnagar, Sarthak Jain, Joel Beazer et al.*44 citations*
6. **[Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion ↗](https://doi.org/10.52202/085713-5576)**Xun Huang, Zhengqi Li, Guande He et al.*42 citations*
7. **[Flow-GRPO: Training Flow Matching Models via Online RL ↗](https://doi.org/10.52202/085713-1362)**Jie Liu, Gongye Liu, Jiajun Liang et al.*40 citations*
8. **[MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details ↗](https://doi.org/10.52202/085713-1207)**Ruicheng Wang, Sicheng Xu, Yue Dong et al.*37 citations*
9. **[Video-R1: Reinforcing Video Reasoning in MLLMs ↗](https://doi.org/10.52202/085713-3310)**Kaituo Feng, Kaixiong Gong, Bohao Li et al.*37 citations*
10. **[Mean Flows for One-step Generative Modeling ↗](https://doi.org/10.52202/085713-2534)**Zhengyang Geng, Mingyang Deng, Xingjian Bai et al.*35 citations*
11. **[A-Mem: Agentic Memory for LLM Agents](https://md.research.elamur.ai/free/en/papers/xu-2025-mem-agentic-memory-llm-agents/)**Wujiang 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 ↗](https://doi.org/10.52202/085713-3603)**Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh et al.*33 citations*
13. **[DAPO: An Open-Source LLM Reinforcement Learning System at Scale ↗](https://doi.org/10.52202/085713-3775)**Qiying Yu, Zheng Zhang, Ruofei Zhu et al.*30 citations*
14. **[Gymnasium: A Standard Interface for Reinforcement Learning Environments ↗](https://doi.org/10.52202/085713-4916)**Mark Towers, Ariel Kwiatkowski, John Balis et al.*29 citations*
15. **[AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems ↗](https://doi.org/10.52202/085713-3578)**Yingxuan Yang, Huacan Chai, Shuai Shao et al.*26 citations*
16. **[Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence ↗](https://doi.org/10.52202/085713-0457)**Diankun Wu, Fangfu Liu, Yi‐Hsin Hung et al.*26 citations*
17. **[ImgEdit: A Unified Image Editing Dataset and Benchmark ↗](https://doi.org/10.52202/085713-4387)**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 ↗](https://doi.org/10.52202/085713-0942)**Zewei Zhou, Tianhui Cai, Seth Z. Zhao et al.*23 citations*
19. **[Large Language Diffusion Models](https://md.research.elamur.ai/free/en/papers/nie-2025-large-language-diffusion-models/)**Shen 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 ↗](https://doi.org/10.52202/085713-3253)**Ling Fu, Zhebin Kuang, Jiajun Song et al.*22 citations*
21. **[Position: Towards Bidirectional Human-AI Alignment ↗](https://doi.org/10.52202/085713-4186)**Hua Shen, Tiffany Knearem, Reshmi Ghosh et al.*22 citations*
22. **[Titans: Learning to Memorize at Test Time ↗](https://doi.org/10.52202/085713-3786)**Ali Behrouz, Peilin Zhong, Vahab Mirrokni*21 citations*
23. **[Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free ↗](https://doi.org/10.52202/085713-3345)**Zihan Qiu, Zekun Wang, Bo Zheng et al.*19 citations*
24. **[MMaDA: Multimodal Large Diffusion Language Models ↗](https://doi.org/10.52202/085713-4636)**Ling Yang, Ye Tian, Bowen Li et al.*19 citations*
25. **[PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis ↗](https://doi.org/10.52202/085713-3225)**Yan Wu, Esther Wershof, Sebastian M. Schmon et al.*19 citations*
26. **[Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention ↗](https://doi.org/10.52202/085713-5688)**Shuang Wu, Youtian Lin, Feihu Zhang et al.*18 citations*
27. **[Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer ↗](https://doi.org/10.52202/085713-4646)**Zechuan Zhang, Ji Xie, Yu Lu et al.*18 citations*
28. **[Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors ↗](https://doi.org/10.52202/085713-0693)**Duo Zheng, Shijia Huang, Yanyang Li et al.*18 citations*
29. **[OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles ↗](https://doi.org/10.52202/085713-4126)**Yihe Deng, Hritik Bansal, Fan Yin et al.*18 citations*
30. **[FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving ↗](https://doi.org/10.52202/085713-2257)**Shuang Zeng, Xinyuan Chang, Mengwei Xie et al.*17 citations*
31. **[Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective ↗](https://doi.org/10.52202/085713-5615)**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 ↗](https://doi.org/10.52202/085713-2036)**Daniel Bolya, Po-Yao Huang, Peize Sun et al.*16 citations*
33. **[TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks ↗](https://doi.org/10.52202/085713-0315)**Frank F. Xu, Yufan Song, Boxuan Li et al.*16 citations*
34. **[VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning ↗](https://doi.org/10.52202/085713-1037)**Haozhe Wang, Chao Qu, Zuming Huang et al.*16 citations*
35. **[3DRS: MLLMs Need 3D-Aware Representation Supervision for Scene Understanding ↗](https://doi.org/10.52202/085713-2282)**Xiaohu Huang, Jingjing Wu, Qunyi Xie et al.*15 citations*
36. **[PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions ↗](https://doi.org/10.52202/085713-1574)**Taotao Jing, Tina Chen, Renran Tian et al.*15 citations*
37. **[Show-o2: Improved Native Unified Multimodal Models ↗](https://doi.org/10.52202/085713-1584)**Jinheng Xie, Zhenheng Yang, Mike Zheng Shou*15 citations*
38. **[Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing ↗](https://doi.org/10.52202/085713-4797)**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 ↗](https://doi.org/10.52202/085713-5180)**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 ↗](https://doi.org/10.52202/085713-2557)**Haohan Chi, Huan-ang Gao, Ziming Liu et al.*13 citations*
41. **[Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning ↗](https://doi.org/10.52202/085713-0280)**Alex Su, Haozhe Wang, Weiming Ren et al.*13 citations*
42. **[RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics ↗](https://doi.org/10.52202/085713-0957)**Enshen Zhou, Jingkun An, Cheng Chi et al.*13 citations*
43. **[Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling ↗](https://doi.org/10.52202/085713-3956)**Zhihao Li, Yufei Wang, Heliang Zheng et al.*13 citations*
44. **[AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration ↗](https://doi.org/10.52202/085713-5654)**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 Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2025-80-20-rule-high-entropy/)**Shenzhi 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 ↗](https://doi.org/10.52202/085713-1330)**Dongzhi JIANG, Ziyu Guo, Renrui Zhang et al.*12 citations*
47. **[UniTok: a Unified Tokenizer for Visual Generation and Understanding ↗](https://doi.org/10.52202/085713-4306)**Chuofan Ma, Yi Jiang, Junfeng Wu et al.*12 citations*
48. **[V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception ↗](https://doi.org/10.52202/085713-3789)**Lei Yang, Xinyu Zhang, Jun Li et al.*12 citations*
49. **[VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching ↗](https://doi.org/10.52202/085713-5484)**Siyu Xu, Yunke Wang, Chenghao Xia et al.*12 citations*
50. **[VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models ↗](https://doi.org/10.52202/085713-4091)**Xiangdong Zhang, Jiaqi Liao, Shaofeng Zhang et al.*12 citations*
51. **[CSGO: Content-Style Composition in Text-to-Image Generation ↗](https://doi.org/10.52202/085713-3363)**Peng Xing, Haofan Wang, Yanpeng Sun et al.*11 citations*
52. **[Cameras as Relative Positional Encoding ↗](https://doi.org/10.52202/085713-0540)**Ruilong Li, Brent Yi, Junchen Liu et al.*11 citations*
53. **[Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing ↗](https://doi.org/10.52202/085713-5791)**Xiangyu Zhao, Peiyuan Zhang, Kexian Tang et al.*11 citations*
54. **[LoRA vs Full Fine-tuning: An Illusion of Equivalence ↗](https://doi.org/10.52202/085713-5808)**Reece Shuttleworth, Jacob Andreas, Antonio B. Torralba et al.*11 citations*
55. **[Perception-R1: Pioneering Perception Policy with Reinforcement Learning ↗](https://doi.org/10.52202/085713-3170)**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 ↗](https://doi.org/10.52202/085713-1092)**Hao Gao, Shaoyu Chen, Bo Jiang et al.*11 citations*
57. **[ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning ↗](https://doi.org/10.52202/085713-2858)**Mingyang Chen, Linzhuang Sun, Tianpeng Li et al.*11 citations*
58. **[TabArena: A Living Benchmark for Machine Learning on Tabular Data ↗](https://doi.org/10.52202/085713-0519)**Nick Erickson, Lennart Purucker, Andrej Tschalzev et al.*11 citations*
59. **[Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding ↗](https://doi.org/10.52202/085713-2793)**Ye Wang, Ziheng Wang, Boshen Xu et al.*11 citations*
60. **[VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction ↗](https://doi.org/10.52202/085713-2529)**Chaoyou Fu, Haojia Lin, Xiong Wang et al.*11 citations*
61. **[WorldMem: Long-term Consistent World Simulation with Memory ↗](https://doi.org/10.52202/085713-1659)**Zeqi Xiao, Yushi Lan, Yifan Zhou et al.*11 citations*
62. **[4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos ↗](https://doi.org/10.52202/085713-1419)**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 ↗](https://doi.org/10.52202/085713-4562)**Yuhui Li, Fangyun Wei, Chao Zhang et al.*10 citations*
64. **[Faster Video Diffusion with Trainable Sparse Attention ↗](https://doi.org/10.52202/085713-5099)**Peiyuan Zhang, Yongqi Chen, Haofeng Huang et al.*10 citations*
65. **[HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation ↗](https://doi.org/10.52202/085713-5089)**Haoran Luo, E Haihong, Guan-Ting Chen et al.*10 citations*
66. **[KGGen: Extracting Knowledge Graphs from Plain Text with Language Models ↗](https://doi.org/10.52202/085713-1010)**Belinda Mo, Kyssen Yu, Joshua Kazdan et al.*10 citations*
67. **[LLM Generated Persona is a Promise with a Catch ↗](https://doi.org/10.52202/085713-2226)**Ang Li, Haozhe Chen, Hongseok Namkoong et al.*10 citations*
68. **[LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS ↗](https://doi.org/10.52202/085713-5798)**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 ↗](https://doi.org/10.52202/085713-1004)**Huanjin Yao, Jiaxing Huang, Wenhao Wu et al.*10 citations*
70. **[Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations ↗](https://doi.org/10.52202/085713-3135)**Yuhao Yang, ZhI JI, Zhaopeng Li et al.*10 citations*
71. **[TabDPT: Scaling Tabular Foundation Models on Real Data ↗](https://doi.org/10.52202/085713-5748)**Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh et al.*10 citations*
72. **[Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs ↗](https://doi.org/10.52202/085713-4705)**Mantas Mazeika, Xuwang Yin, Rishub Tamirisa et al.*10 citations*
73. **[Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding ↗](https://doi.org/10.52202/085713-3372)**Xiaoqian Shen, Wenxuan Zhang, Jun Chen et al.*10 citations*
74. **[VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank ↗](https://doi.org/10.52202/085713-2947)**Tianhe Wu, Jian Zou, Jie Liang et al.*10 citations*
75. **[Absolute Zero: Reinforced Self-play Reasoning with Zero Data ↗](https://doi.org/10.52202/085713-3534)**Andrew Zhao, Yiran Wu, Tong Wu et al.*9 citations*
76. **[BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models ↗](https://doi.org/10.52202/085713-4245)**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 ↗](https://doi.org/10.52202/085713-0855)**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 ↗](https://doi.org/10.52202/085713-5648)**Guozhen Zhu, Yuqian Hu, Weihang Gao et al.*9 citations*
79. **[DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution ↗](https://doi.org/10.52202/085713-2855)**Zheng Chen, Zichen Zou, Kewei Zhang et al.*9 citations*
80. **[DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge ↗](https://doi.org/10.52202/085713-0818)**Wenyao Zhang, Hongsi Liu, Zekun Qi et al.*9 citations*
81. **[EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models ↗](https://doi.org/10.52202/085713-1365)**Yantai Yang, Yuhao Wang, Zichen Wen et al.*9 citations*
82. **[Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals ↗](https://doi.org/10.52202/085713-3448)**Nate Gillman, Charles Herrmann, Michael Freeman et al.*9 citations*
83. **[Improving Video Generation with Human Feedback ↗](https://doi.org/10.52202/085713-2750)**J.-M. Liu, Gongye Liu, Jiajun Liang et al.*9 citations*
84. **[MoBA: Mixture of Block Attention for Long-Context LLMs](https://md.research.elamur.ai/free/en/papers/lu-2025-moba-mixture-block-attention/)**Enzhe Lu, Zhejun Jiang, Jingyuan Liu et al.*9 citations · our summary*
85. **[Nested Learning: The Illusion of Deep Learning Architectures ↗](https://doi.org/10.52202/085713-1565)**Ali Behrouz, Meisam Razaviyayn, Peilin Zhong et al.*9 citations*
86. **[OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection ↗](https://doi.org/10.52202/085713-4084)**Zhongyu Xia, Jishuo Li, Zhiwei Lin et al.*9 citations*
87. **[PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers ↗](https://doi.org/10.52202/085713-1189)**Yuchen Lin, Chenguo Lin, Panwang Pan et al.*9 citations*
88. **[Q-Insight: Understanding Image Quality via Visual Reinforcement Learning ↗](https://doi.org/10.52202/085713-1237)**Weiqi Li, Xuanyu Zhang, Shijie Zhao et al.*9 citations*
89. **[Real-Time Execution of Action Chunking Flow Policies ↗](https://doi.org/10.52202/085713-1122)**Kevin Black, Manuel Y. Galliker, Sergey Levine*9 citations*
90. **[SpatialLM: Training Large Language Models for Structured Indoor Modeling ↗](https://doi.org/10.52202/085713-1504)**Y. J. Mao, Junhao Zhong, Chuan Fang et al.*9 citations*
91. **[VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold ↗](https://doi.org/10.52202/085713-4324)**Dominic Maggio, Hyungtae Lim, Luca Carlone*9 citations*
92. **[Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension ↗](https://doi.org/10.52202/085713-5602)**Yongdong Luo, Xiawu Zheng, Guilin Li et al.*9 citations*
93. **[VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning ↗](https://doi.org/10.52202/085713-0155)**Qi Wang, Yanrui Yu, Ye Yuan et al.*9 citations*
94. **[WISA: World simulator assistant for physics-aware text-to-video generation ↗](https://doi.org/10.52202/085713-0191)**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 ↗](https://doi.org/10.52202/085713-4883)**Sang Keun Choe, Hwijeen Ahn, Juhan Bae et al.*9 citations*
96. **[BEDLAM2.0: Synthetic humans and cameras in motion ↗](https://doi.org/10.52202/085713-1628)**Joachim Tesch, Giorgio Becherini, Prerana Achar et al.*8 citations*
97. **[BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning ↗](https://doi.org/10.52202/085713-3436)**Jianyang Gu, Samuel Stevens, Elizabeth Campolongo et al.*8 citations*
98. **[CogVLA: Cognition-Aligned Vision-Language-Action Models via Instruction-Driven Routing & Sparsification ↗](https://doi.org/10.52202/085713-4594)**Wei Li, Renshan Zhang, Rui Shao et al.*8 citations*
99. **[DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response ↗](https://doi.org/10.52202/085713-5398)**Junjue Wang, Weihao Xuan, Heli Qi et al.*8 citations*
100. **[FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration ↗](https://doi.org/10.52202/085713-5732)**Luxi Chen, Zihan Zhou, Min Zhao et al.*8 citations*

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