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NeurIPS 2025: all accepted papers

5,819 papers · page 58 of 59 · the most cited first · ← NeurIPS 2025

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  1. Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision ↗Chenshuang Zhang, Kang Zhang, Joon Son Chung et al.
  2. Video Perception Models for 3D Scene Synthesis ↗Rui Huang, Guangyao Zhai, Zuria Bauer et al.
  3. VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance ↗Mohammad Reza Taesiri, Abhijay Ghildyal, Saman Zadtootaghaj et al.
  4. VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory ↗Young-Jae Park, Minseok Seo, Hae‐Gon Jeon
  5. Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations ↗Xin Liu, Haoran Li, Dongbin Zhao
  6. ViewCraft3D: High-fidelity and View-Consistent 3D Vector Graphics Synthesis ↗Chuang Wang, Haitao Zhou, Ling Luo et al.
  7. VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models ↗Haidong Xu, Guangwei Xu, Zhedong Zheng et al.
  8. Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning ↗wang lin, Wentao Hu, Liyu Jia et al.
  9. Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data ↗Zi Liang, Qingqing Ye, Xuan Liu et al.
  10. VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction, Characterization and Recognition ↗Rahul Moorthy Mahesh, Jun–Jee Chao, Volkan Isler
  11. Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Generation ↗Anlin Zheng, Xin Wen, Xuanyang Zhang et al.
  12. Vision‑Language‑Vision Auto‑Encoder: Scalable Knowledge Distillation from Diffusion Models ↗Tiezheng Zhang, Yitong Li, Yu-Cheng Chou et al.
  13. VisualLens: Personalization through Task-Agnostic Visual History ↗Wang Zhu, Deqing Fu, Kai Sun et al.
  14. VividFace: A Robost and High-Fidelity Video Face Swapping Framework ↗Hao Shao, Shulun Wang, Yang Zhou et al.
  15. Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding ↗Qian Ma, Xu Ru, Yongqiang Cai
  16. VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play ↗Zelai Xu, Ruize Zhang, Chao Tang Yu et al.
  17. Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization ↗Matthew S. Bull, Po-Chen Kuo, Andrew Smith et al.
  18. VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection ↗Wuyang Li, Zhu Yu, Alexandre Alahi
  19. Vulnerable Data-Aware Adversarial Training ↗Yuqi Feng, Jiahao Fan, Yanan Sun
  20. WALL-E: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents ↗Siyu Zhou, Tianyi Zhou, Yijun Yang et al.
  21. WEDGE: Synthesizing Performance Constraints for Evaluating and Improving Code Efficiency ↗Jun Yang, Cheng‐Chi Wang, Bogdan Alexandru Stoica et al.
  22. WKV-sharing embraced random shuffle RWKV high-order modeling for pan-sharpening ↗man zhou, Xuanhua He, Danfeng Hong et al.
  23. WMCopier: Forging Invisible Watermarks on Arbitrary Images ↗Ziping Dong, Chao Shuai, Zhongjie Ba et al.
  24. WaLRUS: Wavelets for Long range Representation Using State Space Methods ↗Hossein Babaei, Mel White, Sina Alemohammad et al.
  25. WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting ↗Kou‐Yuan Huang, Yan Yan, Jing‐Hao Xue et al.
  26. Wasserstein Convergence of Critically Damped Langevin Diffusions ↗Stanislas Strasman, Sobihan Surendran, Claire Boyer et al.
  27. Wasserstein Transfer Learning ↗Kaicheng Zhang, Sinian Zhang, Doudou Zhou et al.
  28. WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction ↗shengchuan gao, Shuo Wang, Yabiao Wang et al.
  29. Wavelet Canonical Coherence for Nonstationary Signals ↗Haibo Wu, Marina I. Knight, Keiland W Cooper et al.
  30. Wavy Transformer ↗Satoshi Noguchi, Yoshinobu Kawahara
  31. Weak-to-Strong Generalization under Distribution Shifts ↗Myeongho Jeon, Jan Sobotka, Suhwan Choi et al.
  32. Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification ↗Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee F. Chen et al.
  33. WhAM: Towards A Translative Model of Sperm Whale Vocalization ↗Orr Paradise, Liangyuan Chen, Pranav Muralikrishnan et al.
  34. What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization ↗Omar Bennouna, Mohammed Amine Bennouna, Saurabh Amin et al.
  35. What Expressivity Theory Misses: Message Passing Complexity for GNNs ↗Niklas Kemper, Tom Wollschläger, Stephan Günnemann
  36. What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers ↗Pulkit Gopalani, Weisheng Hu
  37. What Matters in Data for DPO? ↗Yu Pan, Zhongze Cai, Huaiyang Zhong et al.
  38. What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains ↗Chanakya Ekbote, Ashok Vardhan Makkuva, Marco Bondaschi et al.
  39. What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers ↗Yi Wang, Jiaze Wang, Ziyu Guo et al.
  40. What do you know? Bayesian knowledge inference for navigating agents ↗Matthias Schultheis, Jana-Sophie Schönfeld, Constantin Rothkopf et al.
  41. What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models ↗Keyon Vafa, Sarah Bentley, Jon M. Kleinberg et al.
  42. What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes ↗Candace Ross, Florian Bordes, Adina Williams et al.
  43. When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery ↗Dominik Meier, Sujai Hiremath, Promit Ghosal et al.
  44. When Can Model-Free Reinforcement Learning be Enough for Thinking? ↗Josiah Hanna, Nicholas E. Corrado
  45. When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions ↗Moritz Willig, Tim Woydt, Devendra Singh Dhami et al.
  46. When Data Can't Meet: Estimating Correlation Across Privacy Barriers ↗Abhinav Chakraborty, Arnab Auddy, T. Tony Cai
  47. When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective ↗Alireza Mousavi-Hosseini, Clayton Sanford, Denny C.-Y. Wu et al.
  48. When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective ↗Beatrix M.G. Nielsen, Emanuele Marconato, Andrea Dittadi et al.
  49. When Does Curriculum Learning Help? A Theoretical Perspective ↗Raman Arora, Yunjuan Wang, Kaibo Zhang
  50. When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product ↗Youqi WU, Jingwei Zhang, Farzan Farnia
  51. When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners ↗Wenjie Zhao, Jiahe Guo, Yang Deng et al.
  52. When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses ↗Antoine Moulin, Emmanuel Esposito, Dirk van der Hoeven
  53. When Models Don’t Collapse: On the Consistency of Iterative MLE ↗Daniel Barzilai, Ohad Shamir
  54. When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration ↗Quan Shi, Carlos Jimenez, Shunyu Yao et al.
  55. When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning ↗Anirban Das, Muhammad Irtaza Khalid, Rafael Peñaloza et al.
  56. When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization ↗Vivek Ramanujan, Kushal Tirumala, Armen Aghajanyan et al.
  57. When and How Unlabeled Data Provably Improve In-Context Learning ↗Yingcong Li, Xiangyu Chang, Muti Kara et al.
  58. When and how can inexact generative models still sample from the data manifold? ↗Nisha Chandramoorthy, Adriaan De Clercq
  59. When majority rules, minority loses: bias amplification of gradient descent ↗François Bachoc, Jérôme Bolte, Ryan Boustany et al.
  60. Where Does It Exist from the Low-Altitude: Spatial Aerial Video Grounding ↗Yang Zhan, Yuan Yuan
  61. Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts ↗Zhihao Wu, Jinyu Cai, Yunhe Zhang et al.
  62. Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models ↗Donghoon Ahn, Jiwon Kang, Sanghyun Lee et al.
  63. Which Algorithms Have Tight Generalization Bounds? ↗Michael Gastpar, Ido Nachum, Jonathan Shafer et al.
  64. Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions ↗Siqi Kou, Qingyuan Tian, Hanwen Xu et al.
  65. Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems ↗Jeffrey Alido, Tongyu Li, Yu Sun et al.
  66. Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning ↗Jiayu Zhang, Changbang Li, Yinan Peng et al.
  67. Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering ↗Yangfu Li, Hongjian Zhan, Tianyi Chen et al.
  68. Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation ↗Sungmin Cha, Kyunghyun Cho
  69. Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion ↗Alan N. Amin, Nate Gruver, Andrew Gordon Wilson
  70. Why Playing Against Diverse and Challenging Opponents Speeds Up Coevolution: A Theoretical Analysis on Combinatorial Games ↗Alistair Benford, Per Kristian Lehre
  71. Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints ↗Dongjie Yang, Chengqiang Lu, Qimeng Wang et al.
  72. WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild ↗Morris Alper, David Novotný, Filippos Kokkinos et al.
  73. Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting ↗Chenchen Tan, Youyang Qu, Xiaoming Li et al.
  74. WolBanking77: Wolof Banking Speech Intent Classification Dataset ↗Abdou Karim Kandji, Fŕed́eric Precioso, Cheikh BA et al.
  75. Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration ↗Yiyuan Pan, Zhe Liu, Hesheng Wang
  76. Word-Level Emotional Expression Control in Zero-Shot Text-to-Speech Synthesis ↗Tianrui Wang, Haoyu Wang, Meng Ge et al.
  77. World Models Should Prioritize the Unification of Physical and Social Dynamics ↗Xiaoyuan Zhang, Chengdong Ma, Yizhe Huang et al.
  78. World Models as Reference Trajectories for Rapid Motor Adaptation ↗Carlos Stein Brito, Daniel McNamee
  79. World-aware Planning Narratives Enhance Large Vision-Language Model Planner ↗Junhao Shi, Zhaoye Fei, Siyin Wang et al.
  80. WritingBench: A Comprehensive Benchmark for Generative Writing ↗Yuning Wu, Jiahao Mei, Ming Yan et al.
  81. X-Field: A Physically Informed Representation for 3D X-ray Reconstruction ↗Feiran Wang, Jiachen Tao, Junyi Wu et al.
  82. X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection ↗Tong Wei, Bolin Wang, Jiang-Xin Shi et al.
  83. XIFBench: Evaluating Large Language Models on Multilingual Instruction Following ↗Zhenyu Li, Kehai Chen, Yunfei Long et al.
  84. YEAST: Yet Another Sequential Test ↗Alexey Kurennoy, Majed Dodin, Tural Gurbanov et al.
  85. Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding ↗Yue Guan, Changming Yu, Shihan Fang et al.
  86. You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering ↗Hanyang Li, Yuheng Jia, Hui LIU et al.
  87. You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network ↗Yi Li, Zhichun Guo, Guanpeng Li et al.
  88. ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention ↗Yuhong Chou, Zehao Liu, Rui-Jie Zhu et al.
  89. Zero-Shot Blind-Spot Image Denoising via Cross-Scale Non-Local Pixel Refilling ↗Qilong Guo, Tianjing Zhang, Zhiyuan Ma et al.
  90. Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model ↗Runheng Liu, Heyan Huang, Xingchen Xiao et al.
  91. Zero-Shot Performance Prediction for Probabilistic Scaling Laws ↗Viktoria Schram, Markus Hiller, Daniel Beck et al.
  92. Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks ↗Ruijia Liu, Ancheng Hou, Xiao Jin Yu et al.
  93. Zero-shot World Models via Search in Memory ↗Federico Malato, Ville Hautamäki
  94. Zero-shot protein stability prediction by inverse folding models: a free energy interpretation ↗Jes Frellsen, Maher M. Kassem, Tone Bengtsen et al.
  95. ZeroPatcher: Training-free Sampler for Video Inpainting and Editing ↗Shaoshu Yang, Yingya Zhang, Ran He
  96. ZeroS: Zero‑Sum Linear Attention for Efficient Transformers ↗Jiecheng Lu, Xu Han, Yan Sun et al.
  97. ZeroSep: Separate Anything in Audio with Zero Training ↗Chao Huang, Yuesheng Ma, Junxuan Huang et al.
  98. Zeroth-Order Optimization Finds Flat Minima ↗Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil et al.
  99. ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding ↗Linshuang Diao, Sensen Song, Yurong Qian et al.
  100. Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs ↗Xudong Li, Mengdan Zhang, Peixian Chen et al.

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