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NeurIPS 2025: all accepted papers

5,819 papers · page 23 of 59 · the most cited first · ← NeurIPS 2025

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  1. A Unified Framework for the Transportability of Population-Level Causal Measures ↗Ahmed Boughdiri, Clément Berenfeld, Julie Josse et al.
  2. A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias ↗WEI-KAI CHANG, Rajiv Khanna
  3. A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning ↗Zechen Wu, Amy Greenwald, Ronald Parr
  4. A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations ↗Kyra L. Kadhim, Jonas Beck, Ziwei Huang et al.
  5. A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity ↗Kuat Gazizov, Miguel Á. Carreira-Perpiñán
  6. A geometric framework for momentum-based optimizers for low-rank training ↗Steffen Schotthöfer, Timon Klein, Jonas Kusch
  7. A learnability analysis on neuro-symbolic learning ↗Haoyuan He, Ming Li
  8. A machine learning approach that beats Rubik's cubes ↗Alexander Chervov, Kirill Khoruzhii, Nikita Bukhal et al.
  9. A multiscale analysis of mean-field transformers in the moderate interaction regime ↗Giuseppe Bruno, Federico Pasqualotto, Andréa Agazzi
  10. A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings ↗Xiaoang Xu, Shuo Wang, Xu Han et al.
  11. AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation ↗Wenyu Zhu, Jianhui Wang, Bowen Gao et al.
  12. AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation ↗Sixiang Chen, Jiaming Liu, Siyuan Qian et al.
  13. AC-LoRA: (Almost) Training-Free Access Control Aware Multi-Modal LLMs ↗Lara Magdalena Lazier, Aritra Dhar, Vasilije Stambolic et al.
  14. ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training ↗Adel Nabli, Louis Fournier, Pierre Erbacher et al.
  15. ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking ↗Lequan Lin, Dai Shi, Andi Han et al.
  16. ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning ↗Zeyuan Liu, Zhihe Yang, Jiawei Xu et al.
  17. AF-UMC: An Alignment-Free Fusion Framework for Unaligned Multi-View Clustering ↗Boliang Sun, Yuena Lin, Tao Yang et al.
  18. AGI-Elo: How Far Are We From Mastering A Task? ↗Shuo Sun, Yimin Zhao, Christina Dao Wen Lee et al.
  19. AHa-Bench: Benchmarking Audio Hallucinations in Large Audio-Language Models ↗Xize Cheng, Dongjie Fu, Chenyuhao Wen et al.
  20. AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs ↗David McCoy, Yulun Wu, Zachary Butzin-Dozier
  21. AI Testing Should Account for Sophisticated Strategic Behaviour ↗Vojtěch Kovařík, Emma Chen, Sami Petersen et al.
  22. AION-1: Omnimodal Foundation Model for Astronomical Sciences ↗Liam Parker, François Lanusse, Jeff Shen et al.
  23. ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition ↗Daolang Huang, Xinyi Wen, Ayush Bharti et al.
  24. ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models ↗Weifei Jin, Yuxin Cao, Junjie Su et al.
  25. AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction ↗Niklas Freymuth, Tobias Würth, Nicolas Schreiber et al.
  26. ARIA: Training Language Agents with Intention-driven Reward Aggregation ↗Ruihan Yang, Yikai Zhang, Aili Chen et al.
  27. ARM: Adaptive Reasoning Model ↗Siye Wu, Jian Xie, Yikai Zhang et al.
  28. ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification ↗Kaijun Zhou, Xingyu Yan, Xingda Wei et al.
  29. ASGO: Adaptive Structured Gradient Optimization ↗Kang An, Yuxing Liu, Rui Pan et al.
  30. AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web ↗RUI CAO, Zifeng Ding, Zhijiang Guo et al.
  31. Absence Bench: Language Models Can’t See What’s Missing ↗Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore et al.
  32. Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models ↗Yuchen Liang, Renxiang Huang, Lifeng Lai et al.
  33. Abstract Counterfactuals for Language Model Agents ↗Edoardo Pona, Milad Kazemi, Yali Du et al.
  34. Abstract Rendering: Certified Rendering Under 3D Semantic Uncertainty ↗C. Ji, Yangge Li, Xiangru Zhong et al.
  35. Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization ↗Yijin Ren, Haifeng Xu, Qi Deng
  36. Accelerated Evolving Set Processes for Local PageRank Computation ↗Binbin Huang, Luo Luo, Yanghua Xiao et al.
  37. Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking ↗Heli Ben-Hamu, Itai Gat, Daniel Severo et al.
  38. Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies ↗Tianxing Man, Yu Bai, Ganyu Wang et al.
  39. Accelerating 3D Molecule Generative Models with Trajectory Diagnosis ↗Zhilong Zhang, Yuxuan Song, Yichun Wang et al.
  40. Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion ↗Qijun Luo, Yifei Shen, Liangzu Peng et al.
  41. Accelerating Feature Conformal Prediction via Taylor Approximation ↗Zihao Tang, Boyuan Wang, Chuan Wen et al.
  42. Accelerating Model-Free Optimization via Averaging of Cost Samples ↗Guido Carnevale, Giuseppe Notarstefano
  43. Accelerating Optimization via Differentiable Stopping Time ↗Zhonglin Xie, Yiman Fong, Haoran Yuan et al.
  44. Accelerating Parallel Diffusion Model Serving with Residual Compression ↗Jiajun Luo, Yicheng Xiao, Jianru Xu et al.
  45. Accelerating Visual-Policy Learning through Parallel Differentiable Simulation ↗Haoxiang You, Yilang Liu, Ian Abraham
  46. Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space ↗Jiyoung Park, Abhishek Ghosh Roy, Jonathan W. Siegel et al.
  47. AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models ↗Seunghoon Lee, Jeongwoo Choi, Byunggwan Son et al.
  48. Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference ↗Zijie Geng, Jie Wang, Ziqi Liu et al.
  49. Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network ↗Dahao Xu, Jiahua Rao, Mingming Zhu et al.
  50. AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning ↗Yang Chen, Zhuolin Yang, Zihan Liu et al.
  51. AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play ↗Ran Xu, Yuchen Zhuang, Zihan Dong et al.
  52. Achieving O(1/N) Optimality Gap in Restless Bandits through Gaussian Approximation ↗Chen Yan, Weina Wang, Lei Ying
  53. Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data ↗Tianyi Chen, Pengxiao Lin, Zhiwei Wang et al.
  54. Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies ↗Jing Wang, Weiting Peng, Jing Tang et al.
  55. Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models ↗Zekai Zhao, Qi Liu, Kun Zhou et al.
  56. Activation-Informed Merging of Large Language Models ↗Amin Heyrani Nobari, Kaveh Alim, Ali ArjomandBigdeli et al.
  57. Active Measurement: Efficient Estimation at Scale ↗Max Hamilton, Jinlin Lai, Wenlong Zhao et al.
  58. Active Seriation: Efficient Ordering Recovery with Statistical Guarantees ↗James Cheshire, Yann Issartel
  59. Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory ↗Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik
  60. ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning ↗Xiaotian Liu, Ali Pesaranghader, Jaehong Kim et al.
  61. Activity Pruning for Efficient Spiking Neural Networks ↗Tong Bu, Xinyu Shi, Zhaofei Yu
  62. Actor-Free Continuous Control via Structurally Maximizable Q-Functions ↗Yigit Korkmaz, Urvi Bhuwania, Ayush Jain et al.
  63. AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking ↗So-Young Yoon, Gyuwan Kim, Gyu-Hwung Cho et al.
  64. Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization ↗Haotian Luo, Haibo He, Yibo Wang et al.
  65. AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees ↗Hongyi Zhou, Jin Zhu, Pingfan Su et al.
  66. AdaLRS: Loss-Guided Adaptive Learning Rate Search for Efficient Foundation Model Pretraining ↗Hongyuan Dong, Dingkang Yang, Xiao Liang et al.
  67. AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning ↗Jingjing Zheng, Wanglong Lu, Yazhu Dong et al.
  68. AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking ↗Xiangqi Wang, Yue Huang, Yanbo Wang et al.
  69. AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders ↗Yuezhou Hu, Jiaxin Guo, Xinyu Feng et al.
  70. AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding ↗Zhucun Xue, Jiangning Zhang, Xie Xurong et al.
  71. Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold ↗Xinghan Li, Haodong Wen, Kaifeng Lyu
  72. AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness ↗Zhuoqun Huang, Neil G. Marchant, Olga Ohrimenko et al.
  73. AdaptGrad: Adaptive Sampling to Reduce Noise ↗Linjiang Zhou, Chao Ma, Zepeng Wang et al.
  74. Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer ↗Ruiqi Xue, Ziqian Zhang, Lihe Li et al.
  75. Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback ↗Shinji Ito, Kevin Jamieson, Haipeng Luo et al.
  76. Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates ↗Seunghyeok Shin, Dabin Kim, Hongki Lim
  77. Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization ↗Xiaochuan Gong, Jie Hao, Mingrui Liu
  78. Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization ↗Zixuan Huang, Yikun Ban, Licong Fu et al.
  79. Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction ↗Jialin Zhao, Alessandro Muscoloni, Umberto Michieli et al.
  80. Adaptive Data Analysis for Growing Data ↗Neil G. Marchant, Benjamin I. P. Rubinstein
  81. Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls ↗Qinwei Yang, Jingyi Li, Peng Wu
  82. Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler ↗Zixuan Hu, Li Shen, Zhenyi Wang et al.
  83. Adaptive Discretization for Consistency Models ↗Jiayu Bai, Zhanbo Feng, Zhijie Deng et al.
  84. Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search ↗Yanbo Wang, Zixiang Xu, Yue Huang et al.
  85. Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks ↗Yizhou Jiang, Feng Chen, Yihan Li et al.
  86. Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing ↗Davin Choo, Yuqi Pan, Tonghan Wang et al.
  87. Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs ↗Richard Cornelius Suwandi, Feng Yin, Juntao Wang et al.
  88. Adaptive Latent-Space Constraints in Personalized Federated Learning ↗Sana Ayromlou, D. B. Emerson
  89. Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning ↗Lei Wang, Jieming Bian, Letian Zhang et al.
  90. Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning ↗Yixiu Mao, Yun Qu, Qi Wang et al.
  91. Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees ↗Sangwoo Park, Matteo Zecchin, Osvaldo Simeone
  92. Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling ↗Hongyi Nie, Yaqing Wang, Mingyang Zhou et al.
  93. Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction ↗Nadhir Hassen, Zhen Zhang, Johan W. H. Verjans
  94. Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition ↗Qu Yang, Xiyang Li, Fu Lin et al.
  95. Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning ↗Faeze Moradi Kalarde, Ali Bereyhi, Ben Liang et al.
  96. Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling ↗Ruoyu Wang, Beier Zhu, Junzhi Li et al.
  97. Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks ↗Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi et al.
  98. Adaptive Time Encoding for Irregular Multivariate Time-Series Classification ↗Sangho Lee, Kyeongseo Min, Youngdoo Son et al.
  99. Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond ↗Feng Zhu, David Simchi‐Levi
  100. Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning ↗Jiawei Huang, Minming Li, Hu Ding

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