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NeurIPS 2025: all accepted papers

5,819 papers · page 29 of 59 · the most cited first · ← NeurIPS 2025

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  1. Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training ↗William Merrill, Shane Arora, Dirk Groeneveld et al.
  2. CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding ↗Qin Xu, Qihang Wu, Lu Hongtao et al.
  3. Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model ↗Yudong Li, Jingyuan Wang, Xie Yu et al.
  4. Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models ↗Wenzhuo Tang, Haitao Mao, Danial Dervovic et al.
  5. Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling ↗Eray Erturk, Saba Hashemi, Maryam Modir Shanechi
  6. Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models ↗Sai Niranjan Ramachandran, Manish Krishan Lal, Suvrit Sra
  7. Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect ↗Tom Kouwenhoven, Kiana Shahrasbi, Tessa Verhoef
  8. Crucible: Quantifying the Potential of Control Algorithms through LLM Agents ↗Lianchen Jia, Chaoyang Li, Houde Qian et al.
  9. CrypticBio: A Large Multimodal Dataset for Visually Confusing Species ↗Georgiana Manolache, Gerard Schouten, Joaquin Vanschoren
  10. CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing ↗Yifan Zhou, Tianshi Xu, Jue Hong et al.
  11. Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation ↗Xiang Li, Zirui Wang, Zixuan Huang et al.
  12. Curious Causality-Seeking Agents in Open-ended Worlds ↗Zhiyu Zhao, Haoxuan Li, Haifeng Zhang et al.
  13. Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity ↗Hugo Ninou, Jonathan Kadmon, N. Alex Cayco-Gajic
  14. Curly Flow Matching for Learning Non-gradient Field Dynamics ↗Katarina Petrović, Lazar Atanackovic, Viggo Moro et al.
  15. Curriculum Abductive Learning ↗Wenchao Hu, Qijie Li, Lin-Han Jia et al.
  16. Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs ↗Georgios Tzannetos, Parameswaran Kamalaruban, Adish Kumar Singla
  17. Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization ↗Baoyi He, Luotian Yuan, Ying Wei et al.
  18. Curvature Tuning: Provable Training-free Model Steering From a Single Parameter ↗Linfeng Hu, Matteo Gamba, Randall Balestriero
  19. CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning ↗Ronghao Lin, Qiaolin He, Sijie Mai et al.
  20. Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization ↗Shaohan Li, Yunpeng Shi, Gilad Lerman
  21. Cyclic Counterfactuals under Shift–Scale Interventions ↗Saptarshi Saha, Dhruv Rathore, Utpal Garain
  22. CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation ↗Li Liang, Bo Miao, Xinyu Wang et al.
  23. Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation ↗Hanchen Su, Xuyuan Li, Yan Zhou et al.
  24. D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction ↗Lipei Zhang, Rui Sun, Zhongying Deng et al.
  25. DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series ↗Yifan WANG, Hongfeng Ai, ruiqi li et al.
  26. DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning ↗Runpeng Xie, Quanwei Wang, Hao Hu et al.
  27. DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization ↗Jiacai Liu, Chaojie Wang, Chris Liu et al.
  28. DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models ↗Cathy Jiao, Yijun Pan, Emily Xiao et al.
  29. DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases ↗Mo Wang, Kaining Peng, Jingsheng Tang et al.
  30. DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection ↗Yingli Shen, Wen Lai, Shuo Wang et al.
  31. DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing ↗Zixiang Li, Haoyu Wang, Wei Wang et al.
  32. DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads ↗Antonio Guillén, Avisek Naug, Vineet Gundecha et al.
  33. DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer ↗Wentao Xu, Huiqiao Fu, Haoyu Dong et al.
  34. DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models ↗Komal Kumar, Rao Muhammad Anwer, Fahad Shahbaz Khan et al.
  35. DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting ↗Lingzhuang Meng, Mingwen Shao, Yuanjian Qiao et al.
  36. DERD-Net: Learning Depth from Event-based Ray Densities ↗Diego de Oliveira Hitzges, Suman Ghosh, Guillermo Gallego
  37. DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning ↗Yongxin He, Shan Zhang, Yixuan Cao et al.
  38. DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models ↗Simone Carnemolla, Matteo Pennisi, Sarinda Samarasinghe et al.
  39. DGCBench: A Deep Graph Clustering Benchmark ↗Benyu Wu, Yue Liu, Qiaoyu Tan et al.
  40. DGH: Dynamic Gaussian Hair ↗Junying Wang, Yuanlu Xu, Edith Tretschk et al.
  41. DINGO: Constrained Inference for Diffusion LLMs ↗Tarun Suresh, Debangshu Banerjee, Shubham Ugare et al.
  42. DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models ↗Longquan Dai, Wu Ming, Dejiao Xue et al.
  43. DISCO: Disentangled Communication Steering for Large Language Models ↗Max Torop, Aria Masoomi, Masih Eskandar et al.
  44. DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning ↗Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter et al.
  45. DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging ↗Felix Wagner, Pramit Saha, Harry Anthony et al.
  46. DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning ↗Yueyang Yuan, Wenke Huang, Frank Wan et al.
  47. DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning ↗Sitong Wu, Haoru Tan, Jingyao Li et al.
  48. DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm ↗Xiaowei Zhu, Yubing Ren, Fang Fang et al.
  49. DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment ↗Sangwoo Kwon, Seong Hoon Seo, Jae Wook Lee et al.
  50. DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization ↗Yunseon Choi, Minchan Jeong, Soobin Um et al.
  51. DQVis Dataset: Natural Language to Biomedical Visualization ↗Devin Lange, Pengwei Sui, Shanghua Gao et al.
  52. DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering ↗Jiakai Li, Rongzheng Wang, Yizhuo Ma et al.
  53. DSCS: Fast CPDAG-Based Verification of Collapsible Submodels in High-Dimensional Bayesian Networks ↗Wentao Wu, Shiyuan He, Jianhua Guo
  54. DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs ↗Chengtai Li, Yuting He, Jianfeng Ren et al.
  55. DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing ↗Zhijian Zhou, Xunye Tian, Liuhua Peng et al.
  56. DUO: No Compromise to Accuracy Degradation ↗Jinda Jia, Cong Xie, Hanlin Lu et al.
  57. DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding ↗Yue Jiang, Jichu Li, Yang Liu et al.
  58. Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning ↗Xiao Han, ZIMO ZHAO, Wanyu Wang et al.
  59. Data Fusion for Partial Identification of Causal Effects ↗Quinn Lanners, Cynthia D Rudin, Alexander Volfovsky et al.
  60. Data Mixing Can Induce Phase Transitions in Knowledge Acquisition ↗Xinran Gu, Kaifeng Lyu, Jiazheng Li et al.
  61. Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework ↗Thomson Yen, Andrew Wei Tung Siah, Haozhe Chen et al.
  62. Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models ↗Xu Yang, Chen Liu, Ying Wei
  63. Data-Adaptive Exposure Thresholds under Network Interference ↗Vydhourie Thiyageswaran, Tyler H. McCormick, Jennifer Brennan
  64. Data-Dependent Regret Bounds for Constrained MABs ↗Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni et al.
  65. Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions ↗Zeyu Wang, Yidan Song, Shihao Qin et al.
  66. DataSIR: A Benchmark Dataset for Sensitive Information Recognition ↗Fan Mo, Bo Liu, Yuan Fan et al.
  67. Dataset Distillation for Pre-Trained Self-Supervised Vision Models ↗George Cazenavette, Antonio B. Torralba, Vincent Sitzmann
  68. Dataset Distillation of 3D Point Clouds via Distribution Matching ↗Jae-Young Yim, Dong-Wook Kim, Jae-Young Sim
  69. Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality ↗Alex Fang, Hadi Pouransari, Matt Jordan et al.
  70. DeCaFlow: A deconfounding causal generative model ↗Alejandro Almodóvar, Adrián Javaloy, Juan Parras et al.
  71. Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery ↗Zhe Zhao, HaiBin Wen, Xianfu Liu et al.
  72. Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation ↗Liliang Ren, Congcong Chen, Haoran Xu et al.
  73. Decoding Causal Structure: End-to-End Mediation Pathways Inference ↗Yulong Li, Xiwei Liu, feilong tang et al.
  74. DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition ↗Donghao Luo, Xue Wang
  75. Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation ↗Hanzhuo Tan, Xiaolong Tian, Hanrui Qi et al.
  76. Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components ↗Abel Jansma
  77. Decomposing motor units through elimination for real-time intention driven assistive neurotechnology ↗Nicholas J. Tacca, Bryan R. Schlink, Jackson Levine et al.
  78. Decomposing stimulus-specific sensory neural information via diffusion models ↗Steeve Laquitaine, Simone Azeglio, Carlo Paris et al.
  79. Decoupled Entropy Minimization ↗Jing Ma, Hanlin Li, Xiang Xiang
  80. Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models ↗Wei Chen, Xinping Yan, Bin Wen et al.
  81. DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction ↗Yupu Zhang, Zelin Xu, Tingsong Xiao et al.
  82. Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport ↗Ferdinand Genans, Antoine Godichon‐Baggioni, François‐Xavier Vialard et al.
  83. Deep Continuous-Time State-Space Models for Marked Event Sequences ↗Yuxin Chang, Alex Boyd, Cao (Danica) Xiao et al.
  84. Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning ↗Dongkwan Lee, JunHoo Lee, Nojun Kwak
  85. Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting ↗Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas et al.
  86. Deep Learning with Plausible Deniability ↗Wenxuan Bao, Shan Jin, Hadi Abdullah et al.
  87. Deep Legendre Transform ↗Aleksey Minabutdinov, Patrick Cheridito
  88. Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments ↗Riley Simmons-Edler, Ryan P. Badman, Felix Berg et al.
  89. Deep Tree Tensor Networks ↗Chang Nie
  90. Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences ↗Joshua Ashkinaze, Hua Shen, Saipranav Avula et al.
  91. Deep learning for continuous-time stochastic control with jumps ↗Patrick Cheridito, Jean-Loup Dupret, Donatien Hainaut
  92. DeepASA: An Object-Oriented Multi-Purpose Network for Auditory Scene Analysis ↗Dongheon Lee, Younghoo Kwon, Jungwoo Choi
  93. DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning ↗Wenxuan Shi, Haochen Tan, Chuqiao Kuang et al.
  94. DeepHalo: A Neural Choice Model with Controllable Context Effects ↗Shuhan Zhang, Zhi Wang, Rui Gao et al.
  95. DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer ↗Haiduo Huang, Ji Young Song, Yadong Zhang et al.
  96. Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration ↗Jingjun Yi, Qi Bi, Hao Zheng et al.
  97. Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency ↗Naoki Nishikawa, Rei Higuchi, Taiji Suzuki
  98. Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction ↗Jeffrey Willette, Heejun Lee, Sung Ju Hwang
  99. DeltaFormer: Unlock the state space of Transformer ↗Mingyu Xu, Tenglong Ao, Jiaao He et al.
  100. DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving ↗Xihang Yue, Yi Ping Yang, Linchao Zhu

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