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NeurIPS 2025: all accepted papers

5,819 papers · page 27 of 59 · the most cited first · ← NeurIPS 2025

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  1. CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation ↗Ziao Wang, Sixing Yan, Kejing Yin et al.
  2. CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays ↗Hyungyung Lee, Geon Choi, Jung-Oh Lee et al.
  3. CaMiT: A Time-Aware Car Model Dataset for Classification and Generation ↗Frédéric Lin, Biruk Abere Ambaw, Adrian Popescu et al.
  4. CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination ↗Yuena Lin, Hao Wei, Hai-Chun Cai et al.
  5. Calibrating Translation Decoding with Quality Estimation on LLMs ↗Di Wu, Yibin Lei, Christof Monz
  6. Can Class-Priors Help Single-Positive Multi-Label Learning? ↗Biao Liu, Ning Xu, Jie Wang et al.
  7. Can DPO Learn Diverse Human Values? A Theoretical Scaling Law ↗Shawn Im, Sharon Li
  8. Can Dependencies Induced by LLM-Agent Workflows Be Trusted? ↗Yu Yao, Yiliao Song, Yian Xie et al.
  9. Can Diffusion Models Disentangle? A Theoretical Perspective ↗Liming Wang, M. Jehanzeb Mirza, Yishu Gong et al.
  10. Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need? ↗Junchi Yu, Yujie Liu, Jindong Gu et al.
  11. Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation ↗Qijiong Liu, Jieming Zhu, Lu Fan et al.
  12. Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning ↗Tianle Zhang, Wanlong Fang, Jonathan Woo et al.
  13. Can Large Language Models Master Complex Card Games? ↗Wei Wang, Fuqing Bie, Junzhe Chen et al.
  14. Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch? ↗Yijie Hu, Zihao Zhou, Kaizhu Huang et al.
  15. Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance? ↗Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh et al.
  16. Can NeRFs "See" without Cameras? ↗Chaitanya Amballa, Yu‐Lin Wei, Sattwik Basu et al.
  17. Can We Infer Confidential Properties of Training Data from LLMs? ↗Pengrun Huang, Chhavi Yadav, Kamalika Chaudhuri et al.
  18. Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images ↗Jiao Tang, Wei Shao, Daoqiang Zhang
  19. Caption This, Reason That: VLMs Caught in the Middle ↗Zihan Weng, Lucas Gomez, Taylor Webb et al.
  20. Capturing Individual Human Preferences with Reward Features ↗Andre Barreto, Vincent Dumoulin, Yiran Mao et al.
  21. Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework ↗Laura Kopf, Nils Feldhus, Kirill Bykov et al.
  22. Cascaded Language Models for Cost-Effective Human–AI Decision-Making ↗Claudio Fanconi, Mihaela van der Schaar
  23. Causal Climate Emulation with Bayesian Filtering ↗Sebastian H. M. Hickman, Ilija Trajkovic, Julia Kaltenborn et al.
  24. Causal Discovery and Inference through Next-Token Prediction ↗Eivinas Butkus, Nikolaus Kriegeskorte
  25. Causal Discovery over Clusters of Variables in Markovian Systems ↗Tara V. Anand, Adèle H. Ribeiro, Jin Tian et al.
  26. Causal Explanation-Guided Learning for Organ Allocation ↗Alessandro Marchese, Jeroen Berrevoets, Sam Verboven
  27. Causal LLM Routing: End-to-End Regret Minimization from Observational Data ↗Asterios Tsiourvas, Wei Sun, Georgia Perakis
  28. Causal Mixture Models: Characterization and Discovery ↗Sarah Mameche, Janis Kalofolias, Jilles Vreeken
  29. Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration ↗Wenjun Wu, Lingling Zhang, Bo Zhao et al.
  30. CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models ↗Benjamin Herdeanu, Juan Nathaniel, Carla M. Roesch et al.
  31. CausalPFN: Amortized Causal Effect Estimation via In-Context Learning ↗Vahid Balazadeh Meresht, Hamidreza Kamkari, Valentin Thomas et al.
  32. Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems ↗Hao Liang, Shuqing Shi, Yudi Zhang et al.
  33. CellCLIP - Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning ↗MingYu Lu, Ethan Weinberger, Chanwoo Kim et al.
  34. Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies ↗Vincent Léon, Iosif Sakos, Ryann Sim et al.
  35. Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors ↗Wen Dong
  36. Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions ↗Kehan Long, Jorge Cortés, Nikolay Atanasov
  37. ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning ↗Chau Pham, Juan C. Caicedo, Bryan A. Plummer
  38. Chain of Execution Supervision Promotes General Reasoning in Large Language Models ↗Nuo Chen, Zehua Li, Keqin Bao et al.
  39. Chain-of-Model Learning for Language Model ↗Xiaohua Wang, Kaitao Song, Xu Tan et al.
  40. Channel Matters: Estimating Channel Influence for Multivariate Time Series ↗Muyao Wang, Zeke Xie, Bo Chen et al.
  41. Channel Simulation and Distributed Compression with Ensemble Rejection Sampling ↗Truong Buu Phan, Ashish J. Khisti
  42. Characterization and Learning of Causal Graphs from Hard Interventions ↗Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu
  43. ChatbotID: Identifying Chatbots with Granger Causality Test ↗Xiaoquan Yi, Haozhao Wang, Yining Qi et al.
  44. ChemX: A Collection of Chemistry Datasets for Benchmarking Automated Information Extraction ↗Anastasia Vepreva, Julia Razlivina, Mariia Eremeyeva et al.
  45. Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening ↗Piyush Bagad, Andrew Zisserman
  46. Class conditional conformal prediction for multiple inputs by p-value aggregation ↗Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon
  47. Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation ↗Jiahuan Zhou, Chao Zhu, Zhenyu Cui et al.
  48. Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment ↗Samuel (Min-Hsuan) Yeh, Yixuan Li
  49. CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing ↗Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn et al.
  50. ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction ↗Ismael Villanueva-Miranda, Zifan Gu, Donghan Yang et al.
  51. Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification ↗Duo Zhou, Jorge Chavez, Hesun Chen et al.
  52. Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models ↗Dhruva Karkada, James B. Simon, Yasaman Bahri et al.
  53. Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution ↗Jacob Lin, Edward Gryspeerdt, Ronald Clark
  54. Co-Regularization Enhances Knowledge Transfer in High Dimensions ↗Shuo Shuo Liu, Haotian Lin, Matthew L. Reimherr et al.
  55. CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model ↗Dapeng Zhang, Fei Shen, Rui Zhao et al.
  56. CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs ↗Roman Vashurin, Maiya Goloburda, Albina Ilina et al.
  57. CoFFT: Chain of Foresight-Focus Thought for Visual Language Models ↗Xinyu Zhang, Yuxuan Dong, Lingling Zhang et al.
  58. CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates ↗Tianyu Chen, Vansh Bansal, James G. Scott
  59. CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision ↗Awni Altabaa, Omar Montasser, John Lafferty
  60. CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring ↗Benjamin Arnav, Pablo Bernabeu-Pérez, Nathan Helm-Burger et al.
  61. CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step ↗Zheyuan Liu, Munan Ning, Qihui Zhang et al.
  62. CoUn: Empowering Machine Unlearning via Contrastive Learning ↗Yasser H. Khalil, Mehdi Setayesh, Hongliang Li
  63. Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning ↗Younggyo Seo, Pieter Abbeel
  64. CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning ↗Man Ho Lam, Chaozheng Wang, Jen-Tse Huang et al.
  65. CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs ↗Gunho Park, Jeongin Bae, Byeongwook Kim et al.
  66. CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving ↗Huitong Yang, Zhuoxiao Chen, Fengyi Zhang et al.
  67. Codifying Character Logic in Role-Playing ↗Letian Peng, Jingbo Shang
  68. Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning ↗Boheng Liu, Ziyu Li, Chenghua Duan et al.
  69. Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations ↗Ansong Ni, Ruta Desai, Yang Li et al.
  70. Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks ↗Roberto Gheda, Abele Mălan, Thiago Guzella et al.
  71. Collapsing Taylor Mode Automatic Differentiation ↗Felix Dangel, Tim Siebert, Marius Zeinhofer et al.
  72. Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics ↗Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi
  73. Coloring Learning for Heterophilic Graph Representation ↗Miaomiao Huang, Yuhai Zhao, Daniel Zhengkui Wang et al.
  74. ComPO: Preference Alignment via Comparison Oracles ↗Peter Chen, Xi Chen, Wotao Yin et al.
  75. ComRank: Ranking Loss for Multi-Label Complementary Label Learning ↗Jing-Yi Zhu, Yi Gao, Miao Xu et al.
  76. Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms ↗Ziwei Li, Bo Sun, Zhiqiu Zhang et al.
  77. Combining Cost Constrained Runtime Monitors for AI Safety ↗Tim Hua, James Baskerville, Henri Lemoine et al.
  78. Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms ↗Philippe Martin Wyder, Judah Goldfeder, Alexey Yermakov et al.
  79. Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism ↗Kang Wang, Bohan Li, Kai Yu et al.
  80. Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo ↗Zachary Charles, Gabriel Teston, Lucio M. Dery et al.
  81. Compact Memory for Continual Logistic Regression ↗Yohan Jung, Hyungi Lee, Wenlong Chen et al.
  82. Comparator-Adaptive Φ-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games ↗Soumita Hait, Ping Li, Haipeng Luo et al.
  83. Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization ↗Marius Potfer, Vianney Perchet
  84. Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming ↗Alexandra Chouldechova, A. Feder Cooper, Solon Barocas et al.
  85. Competitive Advantage Attacks to Decentralized Federated Learning ↗Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong
  86. Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning ↗Haolin Pan, Hongyu Lin, Haoran Luo et al.
  87. Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning ↗Yang Chen, Yirun Zhou, Weizhong Zhang et al.
  88. Complexity Scaling Laws for Neural Models using Combinatorial Optimization ↗Lowell Weissman, Michael Krumdick, A. Lynn Abbott
  89. Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets ↗Yuandong Tian
  90. Composing Linear Layers from Irreducibles ↗Travis Pence, Daisuke Yamada, Vikas Singh
  91. Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data ↗Li Kong, Haichuan Wang, Tonghan Wang et al.
  92. Composition and Alignment of Diffusion Models using Constrained Learning ↗Shervin Khalafi, Ignacio Hounie, Dongsheng Ding et al.
  93. Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models ↗Samuel Lavoie, Michael Noukhovitch, Aaron C. Courville
  94. Compositional Monte Carlo Tree Diffusion for Extendable Planning ↗Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn
  95. Compositional Neural Network Verification via Assume-Guarantee Reasoning ↗Hai Duong, David Shriver, ThanhVu H. Nguyen et al.
  96. Compositional Reasoning with Transformers, RNNs, and Chain of Thought ↗Gilad Yehudai, Noah Amsel, Joan Bruna
  97. Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion models ↗Die Chen, Zhiwen Li, Cen Chen et al.
  98. Compress & Cache: Vision token compression for efficient generation and retrieval ↗Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
  99. Compress Large Language Models via Collaboration Between Learning and Matrix Approximation ↗Yuesen Liao, Zhiwei Li, Binrui Wu et al.
  100. Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers ↗Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki et al.

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