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NeurIPS 2025: all accepted papers

5,819 papers · page 25 of 59 · the most cited first · ← NeurIPS 2025

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  1. Attention Mechanism, Max-Affine Partition, and Universal Approximation ↗Hude Liu, Jerry Yao-Chieh Hu, Zhao Song et al.
  2. Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings ↗Stephen Zhang, Mustafa Khan, Vardan Papyan
  3. Attention on the Sphere ↗Boris Bonev, Max Rietmann, Andrea Paris et al.
  4. Attention with Trained Embeddings Provably Selects Important Tokens ↗Diyuan Wu, Aleksandr Shevchenko, Samet Oymak et al.
  5. Attention! Your Vision Language Model Could Be Maliciously Manipulated ↗Xiaosen Wang, Shaokang Wang, Zhijin Ge et al.
  6. Attention-based clustering ↗Rodrigo Maulen-Soto, Pierre Marion, Claire Boyer
  7. AttentionPredictor: Temporal Patterns Matter for KV Cache Compression ↗Qingyue Yang, Jie Wang, Xing Li et al.
  8. Attribution-Driven Adaptive Token Pruning for Transformers ↗Yaoyao Yan, Hui Yu, Weizhi Xu
  9. Audio Super-Resolution with Latent Bridge Models ↗Chang Li, Zehua Chen, Liyuan Wang et al.
  10. Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives ↗Sarah Huiyi Cen, Salil Goyal, Zaynah Javed et al.
  11. AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping ↗Haonan Dong, Wenhao Zhu, Guojie Song et al.
  12. Auto-Compressing Networks ↗Evangelos Dorovatas, Georgios Paraskevopoulos, Alexandros Potamianos
  13. Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models ↗Yue Xu, Fu Cheng-Hong, Xiong Li et al.
  14. AutoData: A Multi-Agent System for Open Web Data Collection ↗Tianyi Ma, Yiyue Qian, Zheyuan Zhang et al.
  15. AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise ↗Dhruv Agarwal, Bodhisattwa Prasad Majumder, Reece Adamson et al.
  16. AutoEdit: Automatic Hyperparameter Tuning for Image Editing ↗Chau Pham, Quan Dao, Mahesh Bhosale et al.
  17. AutoHood3D: A Multi‑Modal Benchmark for Automotive Hood Design and Fluid–Structure Interaction ↗Vansh Sharma, Harish Ganesh, Maryam Akram et al.
  18. AutoOpt: A Dataset and a Unified Framework for Automating Optimization Problem Solving ↗Ankur Sinha, Shobhit Arora, Dhaval Pujara
  19. AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing ↗Sam Bright-Thonney, Christina Reissel, G. Grosso et al.
  20. AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling ↗Zhining Zhang, Chuanyang Jin, Mung Yao Jia et al.
  21. Autoencoding Random Forests ↗Binh Duc Vu, Jan Kapar, Marvin N. Wright et al.
  22. Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection ↗Michelle Yuan, Khushbu Pahwa, Shuaichen Chang et al.
  23. Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent ↗Christy Li, Josep López Camuñas, Jake Touchet et al.
  24. Automated Model Discovery via Multi-modal & Multi-step Pipeline ↗Lee Jung-Mok, Hyeon-Woo Nam, Ye-Bin Moon et al.
  25. Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction ↗Zhiqiang Zhong, Davide Mottin
  26. Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval ↗Delong Liu, Haiwen Li, Zhaohui Hou et al.
  27. Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization ↗Fuyuan Cao, Shichang Qiao, Kui Yu et al.
  28. Automaton Constrained Q-Learning ↗Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi
  29. Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling ↗Linnan Tu, Lingwei Meng, Zongyi Li et al.
  30. Avoiding exp(R) scaling in RLHF through Preference-based Exploration ↗Mingyu Chen, Yiding Chen, Wen Sun et al.
  31. BADiff: Bandwidth Adaptive Diffusion Model ↗Xi Zhang, Hanwei Zhu, Yan Zhong et al.
  32. BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation ↗Rui Chu, Bingyin Zhao, Hanling Jiang et al.
  33. BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning ↗Hongyi Zhou, Weiran Liao, Xi Huang et al.
  34. BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks ↗Sen Bai, Chunqi Yang, Xin Wei Bai et al.
  35. BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset ↗Zhiheng Xi, Guanyu Li, Yutao Fan et al.
  36. BNMusic: Blending Environmental Noises into Personalized Music ↗Chi Zuo, Martin Bo Møller, Pablo Martínez-Nuevo et al.
  37. BRACE: A Benchmark for Robust Audio Caption Quality Evaluation ↗Tianyu Guo, Hongyu Chen, Hao Liang et al.
  38. BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning ↗Xuechen Zhang, Zijian Huang, Yingcong Li et al.
  39. BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent ↗Shaojie Zhang, Ruoceng Zhang, Pei Fu et al.
  40. BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity ↗Lucine L. Oganesian, Saba Hashemi, Maryam Modir Shanechi
  41. Backward Conformal Prediction ↗Etienne Gauthier, Francis Bach, Michael I. Jordan
  42. Balanced Active Inference ↗Boyu Chen, Zhixiang Zhou, Liuhua Peng et al.
  43. Balancing Gradient and Hessian Queries in Non-Convex Optimization ↗Deeksha Adil, Brian Bullins, Aaron Sidford et al.
  44. Balancing Multimodal Training Through Game-Theoretic Regularization ↗Konstantinos Kontras, Thomas Strypsteen, Christos Chatzichristos et al.
  45. Balancing Performance and Costs in Best Arm Identification ↗Michael Harding, Kirthevasan Kandasamy
  46. Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning ↗Ximing Li, Yuanchao Dai, Bing Wang et al.
  47. Bandit Guided Submodular Curriculum for Adaptive Subset Selection ↗Prateek Chanda, Prayas Agrawal, Saral Sureka et al.
  48. Bandit and Delayed Feedback in Online Structured Prediction ↗Yuki Shibukawa, Taira Tsuchiya, Shinsaku Sakaue et al.
  49. Bayes optimal learning of attention-indexed models ↗Fabrizio Boncoraglio, Emanuele Troiani, Vittorio Erba et al.
  50. Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble ↗Hanyang Wang, Juergen Branke, Matthias Poloczek
  51. Behavior Injection: Preparing Language Models for Reinforcement Learning ↗Zhepeng Cen, Yihang Yao, William Han et al.
  52. BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks ↗Anna A. Sokol, Elizabeth Daly, Michael Hind et al.
  53. Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents ↗Vijay Veerabadran, Fanyi Xiao, Nitin Kamra et al.
  54. Benchmarking Large Language Models with Integer Sequence Generation Tasks ↗Daniel O’Malley, Manish Bhattarai, Nishath Ranasinghe et al.
  55. Benford’s Curse: Tracing Digit Bias to Numerical Hallucination in LLMs ↗Jing Shao, Yao Lu, Jianfei Yang
  56. Bernstein–von Mises for Adaptively Collected Data ↗Kevin Du, Yash Nair, Lucas Janson
  57. BetaConform: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer ↗Huaizhi Qu, Inyoung Choi, Zhen Tan et al.
  58. Better Estimation of the Kullback — Leibler Divergence Between Language Models ↗Afra Amini, Tim Vieira, Ryan Cotterell
  59. Better Language Model Inversion by Compactly Representing Next-Token Distributions ↗Murtaza Nazir, Matthew Finlayson, John X. Morris et al.
  60. Better Training Data Attribution via Better Inverse Hessian-Vector Products ↗Andrew Wang, Elisa Nguyen, Runshi Yang et al.
  61. BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization ↗Qiwei Wang, Shaoxun Wu, Yujiao Shi
  62. Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning ↗Jiayu Wang, Yifei Ming, Zixuan Ke et al.
  63. Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis ↗Jianqi Feng, Chengchun Shi, Zhenke Wu et al.
  64. Beyond Benign Overfitting in Nadaraya-Watson Interpolators ↗Daniel Barzilai, Guy Kornowski, Ohad Shamir
  65. Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits ↗Areeb Ahmad, Abhinav Joshi, Ashutosh Modi
  66. Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models ↗Xinran Wang, Jin Du, Azal Khan et al.
  67. Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation ↗Shiwei Li, Xiandi Luo, Haozhao Wang et al.
  68. Beyond Last-Click: An Optimal Mechanism for Ad Attribution ↗Nan An, Weian Li, Qi Qi et al.
  69. Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification ↗Davide Maran, Csaba Szepesvári
  70. Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking ↗Chen-Hao Chao, Wei-Fang Sun, Hanwen Liang et al.
  71. Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes ↗Wei Wu, Xuan Tan, Yan Peng et al.
  72. Beyond O(T) Constraint Violation for Online Convex Optimization with Adversarial Constraints ↗Abhishek Sinha, Rahul Vaze
  73. Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs ↗Sian-Yao Huang, Li-Hsien Chang, Che-Yu Lin et al.
  74. Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints ↗Zhan Ling, Junjie Huang, Xiaoyao Yu et al.
  75. Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs ↗Mehran Shakerinava, Siamak Ravanbakhsh, Adam M. Oberman
  76. Beyond Scores: Proximal Diffusion Models ↗Zhenghan Fang, Mateo Diaz, Sam Buchanan et al.
  77. Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT ↗Guy Bar-Shalom, Fabrizio Frasca, Yaniv Galron et al.
  78. Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions ↗Liuyuan Jiang, Quan Xiao, Lisha Chen et al.
  79. Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data ↗Yunhao Tang, Sid Wang, Lovish Madaan et al.
  80. Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations ↗Peng Lai, Jianjie Zheng, Sijie Cheng et al.
  81. BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation ↗Yujia Chen, Rui Sun, Wangkai Li et al.
  82. Bi-Directional Communication-Efficient Stochastic FL via Remote Source Generation ↗Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh et al.
  83. Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data ↗Shuli Zhang, Hao Zhou, Jiaqi Zheng et al.
  84. Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning ↗Junkai Zhang, Jinmin He, Yifan Zhang et al.
  85. Bidirectional Representations Augmented Autoregressive Biological Sequence Generation ↗Xiang Zhang, Jiaqi Wei, Zijie Qiu et al.
  86. Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents ↗Han Lin, Jaemin Cho, Amir Zadeh et al.
  87. Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners ↗Michal Nauman, Marek Cygan, Carmelo Sferrazza et al.
  88. Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models ↗Tyler A. Chang, Benjamin K. Bergen
  89. Bilevel Network Learning via Hierarchically Structured Sparsity ↗Jiayi Fan, Jingyuan Yang, Shuangge Ma et al.
  90. Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond ↗Risheng Liu, Zhu Liu, Weihao Mao et al.
  91. Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression ↗Kyo Kuroki, Yasuyuki Okoshi, Thiem Van Chu et al.
  92. BioCG: Constrained Generative Modeling for Biochemical Interaction Prediction ↗Amitay Sicherman, Kira Radinsky
  93. BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics ↗Zhongju Yuan, Geraínt A. Wiggins, Dick B. Botteldooren
  94. Bipolar Self-attention for Spiking Transformers ↗Shuai Wang, Malu Zhang, Jingya Wang et al.
  95. Bisecle: Binding and Separation in Continual Learning for Video Language Understanding ↗Yue Gang Tan, Xiaoqian Hu, Hao Xue et al.
  96. Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios ↗Shengju Yu, Pei Zhang, Siwei Wang et al.
  97. BitMark: Watermarking Bitwise Autoregressive Image Generative Models ↗Louis Kerner, Michel Meintz, Bihe Zhao et al.
  98. Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs ↗Masahiro Kaneko, Timothy J. Baldwin
  99. Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions ↗Nayel Bettache
  100. Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing ↗Jinhua Yin, Peiru Yang, Chen Yang et al.

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