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NeurIPS 2025: all accepted papers

5,819 papers · page 55 of 59 · the most cited first · ← NeurIPS 2025

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  1. Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models ↗Jiaqi Wang, Kevin Qinghong Lin, James Sheung-Chak Cheng et al.
  2. Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models ↗Ilgee Hong, Changlong Yu, Liang Qiu et al.
  3. Thinker: Learning to Think Fast and Slow ↗Stephen Chung, Wenyu Du, Jie Fu
  4. Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning ↗Yihong Tang, Kehai Chen, Muyun Yang et al.
  5. Thompson Sampling for Multi-Objective Linear Contextual Bandit ↗Sang‐Won Park, Heesang Ann, Min-hwan Oh
  6. Thompson Sampling in Function Spaces via Neural Operators ↗Rafael Oliveira, Xuesong Wang, Kian Ming A. Chai et al.
  7. Thought Communication in Multiagent Collaboration ↗Yujia Zheng, Zhuokai Zhao, Zijian Li et al.
  8. Thoughts Are All Over the Place: On the Underthinking of Long Reasoning Models ↗Yue Wang, Qiuzhi Liu, Jiahao Xu et al.
  9. Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations ↗Suhas BN, Andrew M. Sherrill, Rosa I. Arriaga et al.
  10. Thresholds for sensitive optimality and Blackwell optimality in stochastic games ↗Stéphane Gaubert, Julien Grand-Clément, Ricardo D. Katz
  11. Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions ↗Razaib Tariq, Minji Heo, Shahroz Tariq et al.
  12. Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training ↗Minsu Song, Beomhan Baek, Kwangjun Ahn et al.
  13. Tight Asymptotics of Extreme Order Statistics ↗José Correa, Frederik Mallmann-Trenn, Matías Romero
  14. Tight Bounds for Answering Adaptively Chosen Concentrated Queries ↗Emma Rapoport, Edith Cohen, Uri Stemmer
  15. Tight Bounds for Maximum Weight Matroid Independent Set and Matching in the Zero Communication Model ↗Ilan Doron-Arad
  16. Tight Bounds on the Distortion of Randomized and Deterministic Distributed Voting ↗Mohammad Ali Abam, Davoud Kareshki, Marzieh Nilipour et al.
  17. Tight Generalization Bounds for Large-Margin Halfspaces ↗Kasper Green Larsen, Natascha Schalburg
  18. Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions ↗Weixin An, Yuanyuan Liu, Fanhua Shang et al.
  19. Tight Lower Bounds and Improved Convergence in Performative Prediction ↗Pedram Khorsandi, Rushil Gupta, Mehrnaz Mofakhami et al.
  20. Tight analyses of first-order methods with error feedback ↗Daniel Berg Thomsen, Adrien Taylor, Aymeric Dieuleveut
  21. Tightening Regret Lower and Upper Bounds in Restless Rising Bandits ↗Cristiano Migali, Marco Mussi, Gianmarco Genalti et al.
  22. Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization ↗Milad Sefidgaran, Kimia Nadjahi, Abdellatif Zaidi
  23. Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels ↗Maximilian Beck, Korbinian Pöppel, Phillip Lippe et al.
  24. Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking ↗C. Wei Li, Yao SHI, Chen Wang et al.
  25. Time-Embedded Algorithm Unrolling for Computational MRI ↗Junno Yun, Yaşar Utku Alçalar, Mehmet Akçakaya
  26. Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity ↗Liwei Huang, Zhengyu Ma, Liutao Yu et al.
  27. Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding ↗Ebrahim Feghhi, Shreyas Kaasyap, Nima Hadidi et al.
  28. Time-uniform and Asymptotic Confidence Sequence of Quantile under Local Differential Privacy ↗Leheng Cai, Qirui Hu, Juntao Sun et al.
  29. TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting ↗Jaebin Lee, Hankook Lee
  30. Timely Clinical Diagnosis through Active Test Selection ↗Silas Ruhrberg Estévez, Nicolás Astorga, Mihaela van der Schaar
  31. To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable RL ↗Yuda Song, Dhruv Rohatgi, Aarti Singh et al.
  32. TokMan:Tokenize Manhattan Mask Optimization for Inverse Lithography ↗Yiwen Wu, Yuyang Chen, Ye Xia et al.
  33. Token Bottleneck: One Token to Remember Dynamics ↗Taekyung Kim, Dongyoon Han, Byeongho Heo et al.
  34. Token-Level Self-Play with Importance-Aware Guidance for Large Language Models ↗Tue Le, Hoang Tran, Quyen Tran et al.
  35. TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs ↗Yuxiang Zhang, Zhengxu Yu, Weihang Pan et al.
  36. TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs ↗Parjanya Prashant, Kaustubh Ponkshe, Babak Salimi
  37. Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval ↗Constantin Venhoff, Ashkan Khakzar, Sonia Joseph et al.
  38. TopER: Topological Embeddings in Graph Representation Learning ↗Astrit Tola, Funmilola Mary Taiwo, Cüneyt Gürcan Akçora et al.
  39. Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties ↗Gouki Minegishi, Hiroki Furuta, Takeshi Kojima et al.
  40. Topology-Aware Conformal Prediction for Stream Networks ↗Jifan Zhang, Fangxin Wang, Zihe Song et al.
  41. Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve ↗Jingxuan Wang, Zhongke Wu, Xingce Wang et al.
  42. Topology-aware Graph Diffusion Model with Persistent Homology ↗Joonhyuk Park, Donghyun Lee, Yujee Song et al.
  43. Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration ↗Yunghee Lee, Byeonghyun Pak, Jian Hong et al.
  44. Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies ↗Zohar Rimon, Elisei Shafer, Tal Tepper et al.
  45. Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts ↗Li Bai, Qingqing Ye, Xinwei Zhang et al.
  46. Toward Human Deictic Gesture Target Estimation ↗Xu Cao, Pranav Virupaksha, Sangmin Lee et al.
  47. Toward Interpretable Evaluation Measures for Time Series Segmentation ↗F Chavelli, Paul Boniol, Michaël Thomazo
  48. Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis ↗Zeqin Yu, Haotao Xie, Jian Zhang et al.
  49. Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction ↗Yisen Gao, Xingcheng Fu, Qingyun Sun et al.
  50. Towards 3D Objectness Learning in an Open World ↗Taichi Liu, Zhenyu Wang, Ruofeng Liu et al.
  51. Towards Automated Petrography ↗Isai Daniel Chacón, Paola Ruiz Puentes, Jillian Pearse et al.
  52. Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis ↗Jing Hao, Yuxuan Fan, Yanpeng Sun et al.
  53. Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models ↗Xiaowen Cai, Daizong Liu, Xiaoye Qu et al.
  54. Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery ↗Ming Hu, Zhengdi Yu, feilong tang et al.
  55. Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge ↗Nimrod Berman, Omkar Joglekar, Eitan Kosman et al.
  56. Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes ↗Jumin Han, Jun-Hui Kim, Seong–Whan Lee
  57. Towards Generalizable Detector for Generated Image ↗蔡千树, Chao Wu, Yonggang Zhang et al.
  58. Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors ↗Ke Liu, Shangde Gao, Yichao Fu et al.
  59. Towards Identifiability of Hierarchical Temporal Causal Representation Learning ↗Zijian Li, Minghao Fu, Junxian Huang et al.
  60. Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era ↗Feng Hua Lu, Tong Jin, Canming Ye et al.
  61. Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few ↗Qi Wen, Zhiyuan Huang, Chun-Guang Li
  62. Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search ↗Jingyu Li, Pengwen Dai, Mingqing Zhu et al.
  63. Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration ↗Zhang Junyu, Lizhong Ding, Minghong Zhang et al.
  64. Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs ↗Shih-Hsin Wang, Yuhao Huang, Taos Transue et al.
  65. Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach ↗Yunuo Chen, Junli Cao, Vidit Goel et al.
  66. Towards Predicting Any Human Trajectory In Context ↗Ryo Fujii, Hideo Saitô, Ryo Hachiuma
  67. Towards Principled Unsupervised Multi-Agent Reinforcement Learning ↗Riccardo Zamboni, Mirco Mutti, Marcello Restelli
  68. Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport ↗Taoran Zheng, Yan Ping Yang, Xing Li et al.
  69. Towards Provable Emergence of In-Context Reinforcement Learning ↗Jiuqi Wang, Rohan Chandra, Shangtong Zhang
  70. Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning ↗Sanghyun Ahn, Wonje Choi, Junyong Lee et al.
  71. Towards Reliable LLM-based Robots Planning via Combined Uncertainty Estimation ↗Shiyuan Yin, Chenjia Bai, Zihao Zhang et al.
  72. Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning ↗Boheng Li, Renjie Gu, Junjie Wang et al.
  73. Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective ↗Wangkai Li, Rui Sun, Zhaoyang Li et al.
  74. Towards Robust Zero-Shot Reinforcement Learning ↗Kexin Zheng, Lauriane Teyssier, Yinan Zheng et al.
  75. Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach ↗Dandan Liang, Jianing Zhang, Evan Chen et al.
  76. Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions ↗Aobo Li, Jinjian Wu, Yongxu Liu et al.
  77. Towards Understanding Transformers in Learning Random Walks ↗Weisong Shi, Yuan Cao
  78. Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling ↗Yanchen Luo, Zhiyuan Liu, Yi Zhao et al.
  79. Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation ↗Wangkai Li, Rui Sun, Huayu Mai et al.
  80. Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming ↗Zhen Zhang, Bingsheng He
  81. Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN ↗Wei Huang, Hanchen Wang, Dong Wen et al.
  82. Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models ↗Hongqiong Zhong, Qingyang Teng, Baolin Zheng et al.
  83. Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds ↗Rui Wang, Hu Chen, Xiaoning Song et al.
  84. Towards a Geometric Understanding of Tensor Learning via the t-Product ↗Andong Wang, Yuning Qiu, Haonan Huang et al.
  85. Towards precision protein-ligand affinity prediction benchmark: A Complete and Modification-Aware DAVIS Dataset ↗Ming-Hsiu Wu, Ziqian Xie, Shuiwang Ji et al.
  86. Towards the Resistance of Neural Network Fingerprinting to Fine-tuning ↗Ling Tang, YueFeng Chen, Hui Xue' et al.
  87. Tracing the Representation Geometry of Language Models from Pretraining to Post-training ↗Melody Li, Kumar Krishna Agrawal, Arna Ghosh et al.
  88. Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution ↗Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
  89. Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling ↗Shuhong Zheng, Ashkan Mirzaei, Igor Gilitschenski
  90. Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding ↗Seong Hyeon Park, Jinwoo Shin
  91. TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels ↗Jiahao Lu, Weitao Xiong, Jiacheng Deng et al.
  92. Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities ↗Taehyun Hwang, Dahngoon Kim, Min-hwan Oh
  93. Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning ↗Idan Attias, Steve Hanneke, Arvind Ramaswami
  94. Train on Pins and Test on Obstacles for Rectilinear Steiner Minimum Tree ↗Xingbo Du, Ruizhe Zhong, Junchi Yan
  95. Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks ↗Ashley Kurian, Aydın Aysu
  96. Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning ↗Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.
  97. Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression ↗Jiarui Jiang, Wei Huang, Miao Zhang et al.
  98. Training Language Models to Generate Quality Code with Program Analysis Feedback ↗Feng Yao, Zilong Wang, Liyuan Liu et al.
  99. Training-Free Bayesianization for Low-Rank Adapters of Large Language Models ↗Haizhou Shi, Yibin Wang, Ligong Han et al.
  100. Training-Free Constrained Generation With Stable Diffusion Models ↗Stefano Zampini, Jacob K. Christopher, Luca Oneto et al.

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