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NeurIPS 2025: all accepted papers

5,819 papers · page 52 of 59 · the most cited first · ← NeurIPS 2025

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  1. Sequentially Auditing Differential Privacy ↗Tomás González Lara, Mateo Dulce Rubio, Aaditya Ramdas et al.
  2. Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization ↗He Chen, Jiajin Li, Anthony Man–Cho So
  3. Set-LLM: A Permutation-Invariant LLM ↗Béni Egressy, Jan Stühmer
  4. Setting ε is not the Issue in Differential Privacy ↗Edwige Cyffers
  5. Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis ↗Dong Lin Yang, Yiyi Cai, Yuki Saito et al.
  6. Shape it Up! Restoring LLM Safety during Finetuning ↗ShengYun Peng, Pin-Yu Chen, Jianfeng Chi et al.
  7. ShapeEmbed: a self-supervised learning framework for 2D contour quantification ↗Anna Foix, Craig Russell, Alexander Krull et al.
  8. ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models ↗B. Q. Huang, Ming Jin, Yuxuan Liang et al.
  9. Shaping Sequence Attractor Schema in Recurrent Neural Networks ↗Zhikun Chu, Bo Ho, Xiaolong Zou et al.
  10. Shapley-Based Data Valuation for Weighted k-Nearest Neighbors ↗Guangyi Zhang, Qiyu Liu, Aristides Gionis
  11. Sharp Analysis for KL-Regularized Contextual Bandits and RLHF ↗Heyang Zhao, Chenlu Ye, Quanquan Gu et al.
  12. Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs ↗Siyuan Chen, Runlong Zhou, Zihan Zhang et al.
  13. Sharp Gaussian approximations for Decentralized Federated Learning ↗Soham Bonnerjee, Sayar Karmakar, Wei Biao Wu
  14. Sharp Matrix Empirical Bernstein Inequalities ↗Hongjian Wang, Aaditya Ramdas
  15. SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes ↗Yifan Yang, Zhen Zhang, Rupak Vignesh Swaminathan et al.
  16. Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings ↗Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould
  17. Sheetpedia: A 300K-Spreadsheet Corpus for Spreadsheet Intelligence and LLM Fine-Tuning ↗Zailong Tian, Zhuoheng Han, Houfeng Wang et al.
  18. ShiQ: Bringing back Bellman to LLMs ↗Pierre Clavier, Nathan Grinsztajn, Raphaël Avalos et al.
  19. Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning ↗Bastien Dubail, Stefan Stojanovic, Alexandre Proutière
  20. ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On ↗Yuhan Li, Zhiyu Jin, Yifan Tong et al.
  21. Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence ↗Shaopeng Fu, Liang Ding, Jingfeng ZHANG et al.
  22. ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation ↗Yuxuan Song, Zhe Zhang, Yu Pei et al.
  23. Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More ↗Jinwoo Lim, Suhyun Kim, Soo‐Mook Moon
  24. Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens ↗Samuele Bortolotti, Emanuele Marconato, Paolo Morettin et al.
  25. Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch ↗Xu Cai, Yang Qing Wu, Qianli Chen et al.
  26. ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning ↗Jingyang Yi, Jiazheng Wang, Sida Li
  27. Siegel Neural Networks ↗Xuan Son Nguyen, Aymeric Histace, Nistor Grozavu
  28. Sign-In to the Lottery: Reparameterizing Sparse Training ↗Advait Gadhikar, Tom Jacobs, Chao Zhou et al.
  29. SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction ↗Yixiao Zhou, Xiaoqing Lyu, Hongxiang Lin et al.
  30. Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation ↗David Heineman, Valentin Hofmann, Ian Magnusson et al.
  31. Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator ↗Peiwen Yuan, Yiwei Li, Shaoxiong Feng et al.
  32. SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language Models ↗Haotian Xu, Qingsong Peng, Jie Shi et al.
  33. SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation ↗Yimu Zhang, Dongqi Han, Yansen Wang et al.
  34. Simple and Effective Specialized Representations for Fair Classifiers ↗Alberto Sinigaglia, Davide Sartor, Marina Ceccon et al.
  35. Simple and Optimal Sublinear Algorithms for Mean Estimation ↗Beatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn et al.
  36. SimpleStrat: Diversifying Language Model Generation with Stratification ↗Justin Wong, Yury Orlovskiy, Alexander Shypula et al.
  37. SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation ↗Chenyang Le, Bing Han, Junqian Li et al.
  38. Simulation-Based Inference for Adaptive Experiments ↗Brian Cho, Aurélien Bibaut, Nathan Kallus
  39. Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression ↗Yuning Shen, Lihao Wang, Huizhuo Yuan et al.
  40. Simultaneous Statistical Inference for Off-Policy Evaluation in Reinforcement Learning ↗Tianpai Luo, Xinyuan Fan, Weichi Wu
  41. Simultaneous Swap Regret Minimization via KL-Calibration ↗Haipeng Luo, Spandan Senapati, Vatsal Sharan
  42. SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference ↗Jiahui Wang, Haiyue Zhu, Haoren Guo et al.
  43. Single-Step Operator Learning for Conditioned Time-Series Diffusion Models ↗Hui Chen, Vikas Singh
  44. Sinusoidal Initialization, Time for a New Start ↗Alberto Fernández-Hernández, Jose I. Mestre, Manuel F. Dolz et al.
  45. Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model ↗Ruiping Liu, Junwei Zheng, Yufan Chen et al.
  46. Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks ↗Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.
  47. Sketched Gaussian Mechanism for Private Federated Learning ↗Qiaobo Li, Zhijie Chen, Arindam Banerjee
  48. Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling ↗Hongtao Xu, Wenting Shen, Yuanxin Wei et al.
  49. SkyLadder: Better and Faster Pretraining via Context Window Scheduling ↗Tongyao Zhu, Qian Liu, Haonan Wang et al.
  50. Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families ↗Felipe Maia Polo, Seamus Somerstep, Leshem Choshen et al.
  51. Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks ↗Eva Xie, Ştefan Mihalaş, Łukasz Kuśmierz
  52. Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators ↗Imon Banerjee, Sayak Chakrabarty
  53. SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference ↗Yi Zhao, Yajuan Peng, Cam-Tu Nguyen et al.
  54. Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints ↗Hyungki Im, Wyame Benslimane, Paul Grigas
  55. SmartCache: Context-aware Semantic Cache for Efficient Multi-turn LLM Inference ↗Chengye Yu, Tianyu Wang, Zili Shao et al.
  56. SmokeViz: A Large-Scale Satellite Dataset for Wildfire Smoke Detection and Segmentation ↗Rey Koki, Michael McCabe, Dhruv Kedar et al.
  57. Smooth Quadratic Prediction Markets ↗Enrique Nueve, Bo Waggoner
  58. Smooth Regularization for Efficient Video Recognition ↗Gil Goldman, Raja Giryes, Mahadev Satyanarayanan
  59. Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations ↗David Burt, Renato Berlinghieri, Stephen Bates et al.
  60. Smoothed Agnostic Learning of Halfspaces over the Hypercube ↗Yiwen Kou, Raghu Meka
  61. Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations ↗Adrian Hill, Neal McKee, Johannes Maeß et al.
  62. SoMi-ToM: Evaluating Multi-Perspective Theory of Mind in Embodied Social Interactions ↗Xianzhe Fan, Xuhui Zhou, Chuanyang Jin et al.
  63. SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization ↗Xiaofeng Tan, Hongsong Wang, Xin Geng et al.
  64. Social World Model-Augmented Mechanism Design Policy Learning ↗Xiaoyuan Zhang, Yizhe Huang, Chengdong Ma et al.
  65. Soft Task-Aware Routing of Experts for Equivariant Representation Learning ↗Jaeseung Jeon, Hyunseo Jang, Jy-yong Sohn et al.
  66. Solver-Free Decision-Focused Learning for Linear Optimization Problems ↗Senne Berden, Ali İrfan Mahmutoğulları, Dimosthenis C. Tsouros et al.
  67. Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics ↗Lorenzo Magnino, Kai Shao, Zida Wu et al.
  68. Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization ↗Weiming Liu, Xinting Liao, Jun Dan et al.
  69. Solving Inequality Proofs with Large Language Models ↗Jiayi Sheng, Luna Lyu, Jikai Jin et al.
  70. Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics ↗Deep Patel, Emmanouil-Vasileios Vlatakis-Gkaragkounis
  71. Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes ↗Guangting Yu, Shiwei Lan
  72. Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation ↗Zhen Zhang, Javen Qinfeng Shi, Wee Sun Lee
  73. Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness ↗Mojtaba Kolahdouzi, Hatice Güneş, Ali Etemad
  74. SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement ↗Chenyu Yang, Shuai Wang, Hangting Chen et al.
  75. SpEx: A Spectral Approach to Explainable Clustering ↗Tal Argov, Tal Wagner
  76. Space Group Equivariant Crystal Diffusion ↗Rees Chang, Angela Pak, Alex Guerra et al.
  77. Spark Transformer: Reactivating Sparsity in Transformer FFN and Attention ↗Chong You, Kan Wu, Zhipeng Jia et al.
  78. Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems ↗Jingwen Cheng, Ruikun Li, Huandong Wang et al.
  79. Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited ↗Thang D. Bui, Michalis K. Titsias
  80. Sparse Image Synthesis via Joint Latent and RoI Flow ↗Ziteng Gao, Jay Zhangjie Wu, Mike Zheng Shou
  81. Sparse Optimistic Information Directed Sampling ↗Ludovic Schwartz, Hamish Flynn, Gergely Neu
  82. Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation ↗Tianqi Qiao, Marie Maros
  83. SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering ↗Ruimeng Liu, Xin Zou, Chang Tang et al.
  84. Sparta Alignment: Collectively Aligning Multiple Language Models through Combat ↗Yuru Jiang, Wenxuan Ding, Shangbin Feng et al.
  85. Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems ↗Marcos Negre Saura, Richard Allmendinger, Wei Li Pan et al.
  86. Spatially-aware Weights Tokenization for NeRF-Language Models ↗Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti et al.
  87. Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search ↗Yimin Jiang, Huibing Wang, Jinjia peng
  88. SpecEM: Training-Free LLM Ensembling via Iterative Drafting, Verification, and Online Feedback ↗Bo Lv, Nayu Liu, Chen Tang et al.
  89. SpecMAS: A Multi-Agent System for Self-Verifying System Generation via Formal Model Checking ↗Rishabh Agrawal, Kaushik Ranade, Aja Khanal et al.
  90. SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding ↗Thomas Walton, Darin Tsui, Aryan Musharaf et al.
  91. SpectraLDS: Provable Distillation for Linear Dynamical Systems ↗Devan Shah, Shlomo Fortgang, Sofiia Druchyna et al.
  92. Spectral Analysis of Representational Similarity with Limited Neurons ↗Hyunmo Kang, Abdülkadir Canatar, SueYeon Chung
  93. Spectral Compressive Imaging via Chromaticity-Intensity Decomposition ↗Xiaodong Wang, Zijun He, Ping Wang et al.
  94. Spectral Conditioning of Attention Improves Transformer Performance ↗Hemanth Saratchandran, Simon Lucey
  95. Spectral Estimation with Free Decompression ↗Siavash Ameli, Chris van der Heide, Liam Hodgkinson et al.
  96. Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold ↗I. Bernard Cohen, Ronen Talmon
  97. Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum ↗Snir Hordan, Maya Bechler-Speicher, Gur Lifshitz et al.
  98. Spectral Learning for Infinite-Horizon Average-Reward POMDPs ↗Alessio Russo, Alberto Maria Metelli, Marcello Restelli
  99. Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy ↗Phuc Tran, Van Vu, Nisheeth K. Vishnoi
  100. Speculate Deep and Accurate: Lossless and Training-Free Acceleration for Offloaded LLMs via Substitute Speculative Decoding ↗Pei-Shuo Wang, Jian-Jia Chen, Chun-Che Yang et al.

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