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NeurIPS 2025: all accepted papers

5,819 papers · page 12 of 59 · the most cited first · ← NeurIPS 2025

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  1. Balanced Conic Rectified Flow ↗Kim Shin seong, Mingi Kwon, Jaeseok Jeong et al.1 citation
  2. Bayesian Concept Bottleneck Models with LLM Priors ↗Jean Feng, Avni Kothari, Lucas S. Zier et al.1 citation
  3. BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading ↗Jonathan Schmidt, Simon Giebenhain, Matthias Nießner1 citation
  4. Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms ↗Zhihai Wang, Zijie Geng, Zhaojie Tu et al.1 citation
  5. Benign Overfitting in Single-Head Attention ↗Roey Magen, Shuning Shang, Zhiwei Xu et al.1 citation
  6. Beyond Prediction: Managing the Repercussions of Machine Learning Applications ↗Aline Weber, Blossom Metevier, Yuriy Brun et al.1 citation
  7. Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation ↗Muquan Li, Hang Gou, Dongyang Zhang et al.1 citation
  8. Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs ↗Yi Hu, Shijia Kang, Haotong Yang et al.1 citation
  9. Beyond the Average: Distributional Causal Inference under Imperfect Compliance ↗Undral Byambadalai, Tomu Hirata, Tatsushi Oka et al.1 citation
  10. Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning ↗Xiaomeng Fan, Yuchuan Mao, Zhi Yang Gao et al.1 citation
  11. BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints ↗Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti et al.1 citation
  12. Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining ↗Raghuveer Thirukovalluru, Rui Meng, Ye Liu et al.1 citation
  13. CAMILA: Context-Aware Masking for Image Editing with Language Alignment ↗Hyunseung Kim, Chiho Choi, Srikanth Malla et al.1 citation
  14. CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization ↗Wei W. Xing, Zhenjie Lu, Akeel Shah1 citation
  15. CLIMB: Class-imbalanced Learning Benchmark on Tabular Data ↗Zhining Liu, Zihao Li, Ze Yang et al.1 citation
  16. CVGL: Causal Learning and Geometric Topology ↗Songsong Ouyang, Yingying Zhu1 citation
  17. Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs ↗Guiyao Tie, Zenghui Yuan, Zeli Zhao et al.1 citation
  18. Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning ↗Xiangning Yu, Zhuohan Wang, Linyi Yang et al.1 citation
  19. Causally Reliable Concept Bottleneck Models ↗G. de Felice, Arianna Casanova Flores, Francesco De Santis et al.1 citation
  20. CellVerse: Do Large Language Models Really Understand Cell Biology? ↗Fan Zhang, Tianyu Liu, Zhihong Zhu et al.1 citation
  21. Characterizing control between interacting subsystems with deep Jacobian estimation ↗Earl K. Miller, Mitchell Ostrow, Sarthak Chandra et al.1 citation
  22. CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction ↗Ella Miray Rajaonson, Mahyar Rajabi Kochi, L. Mendoza et al.1 citation
  23. Checklists Are Better Than Reward Models For Aligning Language Models ↗Vijay Viswanathan, Yanchao Sun, Xiang Kong et al.1 citation
  24. CogPhys: Assessing Cognitive Load via Multimodal Remote and Contact-based Physiological Sensing ↗Anirudh Bindiganavale Harish, Peikun Guo, Bhargav Ghanekar et al.1 citation
  25. Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples ↗Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma et al.1 citation
  26. Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms ↗Hiroshi Kera, Nico Pelleriti, Yuki Ishihara et al.1 citation
  27. Computational Budget Should Be Considered in Data Selection ↗Weilin Wan, Weizhong Zhang, Cheng Jin1 citation
  28. Compute-Optimal Scaling for Value-Based Deep RL ↗Preston Fu, Oleh Rybkin, Zhiyuan Zhou et al.1 citation
  29. ConViS-Bench: Estimating Video Similarity Through Semantic Concepts ↗Benedetta Liberatori, Alessandro Conti, Lorenzo Vaquero et al.1 citation
  30. Conditional Diffusion Anomaly Modeling on Graphs ↗Chunyu Wei, Haozhe Lin, Yueguo Chen et al.1 citation
  31. Conditioning Matters: Training Diffusion Policies is Faster Than You Think ↗Zibin Dong, Yicheng Liu, Yinchuan Li et al.1 citation
  32. Conformal Information Pursuit for Interactively Guiding Large Language Models ↗Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban et al.1 citation
  33. Consistent Story Generation: Unlocking the Potential of Zigzag Sampling ↗Mingxiao Li, Mang Ning, Marie‐Francine Moens1 citation
  34. Constrained Diffusers for Safe Planning and Control ↗Jichen Zhang, Liqun Zhao, Antonis Papachristodoulou et al.1 citation
  35. Constrained Linear Thompson Sampling ↗Aditya Gangrade, Venkatesh Saligrama1 citation
  36. Contextual Integrity in LLMs via Reasoning and Reinforcement Learning ↗Guangchen Lan, Huseyin A. Inan, Sahar Abdelnabi et al.1 citation
  37. Continual Optimization with Symmetry Teleportation for Multi-Task Learning ↗Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu et al.1 citation
  38. Continuous Simplicial Neural Networks ↗Aref Einizade, Dorina Thanou, Fragkiskos D. Malliaros et al.1 citation
  39. Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework ↗Mustafa Hajij, Lennart Bastian, Sarah Osentoski et al.1 citation
  40. Cost-Aware Contrastive Routing for LLMs ↗Reza Shirkavand, Shangqian Gao, Peiran Yu et al.1 citation
  41. Counterfactual Implicit Feedback Modeling ↗Chuan Zhou, Lina Yao, Haoxuan Li et al.1 citation

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