NeurIPS 2025: all accepted papers
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- KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments ↗Junyoung Park, Dalton Jones, Matthew Morse et al.
- Kinaema: a recurrent sequence model for memory and pose in motion ↗Mert Bülent Sarıyıldız, Philippe Weinzaepfel, Guillaume Bono et al.
- Kinetics: Rethinking Test-Time Scaling Law ↗Ranajoy Sadhukhan, Zhuoming Chen, Haizhong Zheng et al.
- Knee-Deep in C-RASP: A Transformer Depth Hierarchy ↗Andy J Yang, Michaël Cadilhac, David Chiang
- Knot So Simple: A Minimalistic Environment for Spatial Reasoning ↗Zizhao Chen, Yoav Artzi
- Know Thyself by Knowing Others: Learning Neuron Identity from Population Context ↗Vinam Arora, Divyansha Lachi, Ian Knight et al.
- Know What You Don't Know: Uncertainty Calibration of Process Reward Models ↗Young‐Jin Park, Kristjan H. Greenewald, Kaveh Alim et al.
- KnowMol: Advancing Molecular Large Language Models with Multi-Level Chemical Knowledge ↗Zaifei Yang, Hong Chang, Ruibing Hou et al.
- Knowing When to Stop: Efficient Context Processing via Latent Sufficiency Signals ↗Roy Xie, Junlin Wang, Paul Rosu et al.
- Knowledge Distillation Detection for Open-weights Models ↗Qin Shi, Amber Yijia Zheng, Qifan Song et al.
- Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning ↗Xusheng Cao, Haori Lu, Linlan Huang et al.
- Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation ↗Yangtao Zhou, Hua Chu, chen chen et al.
- Kuramoto Orientation Diffusion Models ↗Yue Song, T. Anderson Keller, Sevan Brodjian et al.
- L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias ↗Jingxiao Zhang, Shifei Ding, Jian Zhang et al.
- L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery ↗Ziwei Shi, Xiaoran Zhang, Wenjing Xu et al.
- LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs ↗Ran Li, Hao Wang, Chengzhi Mao
- LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits ↗Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin et al.
- LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion ↗Yuan Guo, Qian Ma, Hui Li et al.
- LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought ↗Cheng Yan, Felix Mohr, Tom Julian Viering
- LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model ↗Xiangkun Wang, Kejiang Chen, Lincong Li et al.
- LIFEBENCH: Evaluating Length Instruction Following in Large Language Models ↗Wei Zhang, Zhenhong Zhou, Kun Wang et al.
- LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling ↗Yang Xiao, Jiashuo WANG, Ruifeng Yuan et al.
- LLM Interpretability with Identifiable Temporal-Instantaneous Representation ↗Xiangchen Song, Jiaqi Sun, Zijian Li et al.
- LLM Layers Immediately Correct Each Other ↗Arjun Patrawala, Jiahai Feng, Erik Jones et al.
- LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation ↗Subhojyoti Khastagir, Kishalay Das, Pawan Goyal et al.
- LLM Safety Alignment is Divergence Estimation in Disguise ↗Rajdeep Haldar, Ziyi Wang, Guang Lin et al.
- LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach ↗Jinglong Shen, Nan Cheng, Wenchao Xu et al.
- LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering ↗Qianqian Wang, Qianqian Wang
- LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models ↗Yihao Liu, Xinqi Lyu, Dong Wang et al.
- LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas ↗Yun Hua, Shang Gao, Wenhao Li et al.
- LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups ↗Masih Aminbeidokhti, Subhankar Roy, Eric Granger et al.
- LTD-Bench: Evaluating Large Language Models by Letting Them Draw ↗Liuhao Lin, Ke Li, Zihan Xu et al.
- LVLM-Driven Attribute-Aware Modeling for Visible-Infrared Person Re-Identification ↗Zhiqi Pang, Lingling Zhao, Junjie Wang et al.
- LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation ↗Miao Yang, Jan-Nico Zaech, Xi Wang et al.
- Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale ↗James A. Michaelov, Roger Lévy, Benjamin Bergen
- Language Models can Self-Improve at State-Value Estimation for Better Search ↗Ethan Mendes, Alan Ritter
- Language Ranker: A Lightweight Ranking framework for LLM Decoding ↗Chenheng Zhang, Tianqi Du, Jizhe Zhang et al.
- Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing ↗Huanjia Zhu, Shuyuan Zheng, Yishu Liu et al.
- Large Language Models Think Too Fast To Explore Effectively ↗Lan Pan, Hanbo Xie, Robert C. Wilson
- Large Language Models as Model Organisms for Human Associative Learning ↗Camila Kolling, Vy Vo, Mariya Toneva
- Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression ↗Jingfeng Wu, Pierre Marion, Peter L. Bartlett
- Large language models can learn and generalize steganographic chain-of-thought under process supervision ↗Robert Mc Carthy, Joey SKAF, Luis Ibañez-Lissen et al.
- Last Iterate Convergence in Monotone Mean Field Games ↗Noboru Isobe, Kenshi Abe, Kaito Ariu
- Last-Iterate Convergence of Smooth Regret Matching+ Variants in Learning Nash Equilibria ↗Linjian Meng, Youzhi Zhang, Zhenxing Ge et al.
- Latency NMS Attacks: Is It Real Life or Is It Just Fantasy? ↗Jean-Philippe Monteuuis, Cong Chen, Jonathan Petit
- Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning ↗Haoran Li, Chenhan Xiao, Muhao Guo et al.
- Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution ↗Zhanyi Sun, Shuran Song
- Latent Principle Discovery for Language Model Self-Improvement ↗Keshav Ramji, Tahira Naseem, Ramón Fernández Astudillo
- Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving ↗Hossein Askari, Yadan Luo, Hongfu Sun et al.
- Latent Retrieval Augmented Generation of Cross-Domain Protein Binders ↗Zishen Zhang, Xiangzhe Kong, Wenbing Huang et al.
- Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification ↗Zinan Lin, Enshu Liu, Xuefei Ning et al.
- Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity ↗Guangze Zheng, Shijie Lin, Haobo Zuo et al.
- LawShift: Benchmarking Legal Judgment Prediction Under Statute Shifts ↗Zhuo Han, Yi Ping Yang, Yi Feng et al.
- Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation ↗Fei Wang, Li Shen, Liang Ding et al.
- Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning ↗Jisoo Kim, Sung‐Min Kang, Sunwoo Lee
- LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models ↗Hao Sun, Huailiang Peng, Qiong Dai et al.
- Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment ↗Weiming Zhang, Dingwen Xiao, Aobotao DAI et al.
- LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching ↗Zhuo Cao, Xuan Zhao, Lena Krieger et al.
- Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning ↗Ziqi Gu, Chunyan Xu, Wenxuan Fang et al.
- Learning (Approximately) Equivariant Networks via Constrained Optimization ↗Andrei Manolache, Luiz F. O. Chamon, Mathias Niepert
- Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields ↗Xixian Liu, Rui Jiao, ZHIYUAN LIU et al.
- Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data ↗Qijia He, Minghan Wang, Xutong Liu et al.
- Learning CAD Modeling Sequences via Projection and Part Awareness ↗Yang Liu, Daxuan Ren, Yijie Ding et al.
- Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks ↗Longde Huang, O.S. Balabanov, Hampus Linander et al.
- Learning Counterfactual Outcomes Under Rank Preservation ↗Peng Wu, Haoxuan Li, Chunyuan Zheng et al.
- Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics ↗Xiaotang Wang, Xuanwei Lin, Yun Zhu et al.
- Learning Differential Pyramid Representation for Tone Mapping ↗Qirui Yang, Yinbo Li, Yihao Liu et al.
- Learning Diffusion Models with Flexible Representation Guidance ↗Chenyu Wang, Cai Zhou, Sharut Gupta et al.
- Learning Dynamics of RNNs in Closed-Loop Environments ↗Yoav Ger, Omri Barak
- Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting ↗Yiming Wang, Lucy Chai, Xuan Luo et al.
- Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning ↗Till Freihaut, Luca Viano, Volkan Cevher et al.
- Learning Expandable and Adaptable Representations for Continual Learning ↗Ruilong Yu, Mingyan Liu, Fei Ye et al.
- Learning Generalizable Shape Completion with SIM(3) Equivariance ↗Yuqing Wang, Zhaiyu Chen, Xiao Xiang Zhu
- Learning Gradient Boosted Decision Trees with Algorithmic Recourse ↗Kentaro Kanamori, Ken Kobayashi, Takuya Takagi
- Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization ↗Jian-Ting Guo, Yu‐Cheng Chen, Ping-Chun Hsieh et al.
- Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks ↗Francesco Cozzi, Marco Pangallo, Alan Perotti et al.
- Learning Interactive World Model for Object-Centric Reinforcement Learning ↗Fan Feng, Phillip Lippe, Sara Magliacane
- Learning Interestingness in Automated Mathematical Theory Formation ↗George Tsoukalas, Rahul Saha, Amitayush Thakur et al.
- Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization ↗Ziqi Wang, Jiashun Liu, Ling Pan
- Learning Juntas under Markov Random Fields ↗Gautam Chandrasekaran, Adam R. Klivans
- Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm ↗James Cuin, Davide Carbone, Ömer Deniz Akyıldız
- Learning Multi-Source and Robust Representations for Continual Learning ↗Fei Ye, yongcheng zhong, Qihe Liu et al.
- Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis ↗Yunwei Ren, Jason D. Lee
- Learning Parameterized Skills from Demonstrations ↗Vedant Gupta, Haotian Fu, Calvin Luo et al.
- Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards ↗Yuwei Cheng, Zifeng Zhao, Haifeng Xu
- Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach ↗Haitong Ma, Haoran Yu, Haobo Fu et al.
- Learning Provably Improves the Convergence of Gradient Descent ↗Qingyu Song, Wei Lin, Hong Xu
- Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data ↗Duong Nguyen, Nghia Hoang, Thanh Trung Huynh et al.
- Learning Repetition-Invariant Representations for Polymer Informatics ↗Yihan Zhu, Gang Liu, Eric Inae et al.
- Learning Robust Vision-Language Models from Natural Latent Spaces ↗Zhangyun Wang, Ni Ding, Aniket Mahanti
- Learning Shared Representations from Unpaired Data ↗Amitai Yacobi, Nir Ben-Ari, Ronen Talmon et al.
- Learning Simple Interpolants for Linear Integer Arithmetic ↗Minchao Wu, Naoki Kobayashi
- Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification ↗Yongxiang Li, Yanglin Feng, Yuan Sun et al.
- Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs ↗Zhehao Li, Kangbo Lyu, Yixuan Li et al.
- Learning Spatial-Aware Manipulation Ordering ↗Yuxiang Yan, Zhiyuan Zhou, Xin Gao et al.
- Learning Stochastic Multiscale Models ↗Andrew F. Ilersich, Prasanth B. Nair
- Learning Task-Agnostic Representations through Multi-Teacher Distillation ↗Philippe Formont, Maxime Darrin, Banafsheh Karimian et al.
- Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance ↗Meng Wang, Fan Wu, Ruihui Li et al.
- Learning Theory for Kernel Bilevel Optimization ↗Fares El Khoury, Edouard Pauwels, Samuel Vaiter et al.
- Learning Urban Climate Dynamics via Physics-Guided Urban Surface–Atmosphere Interactions ↗Jiyang Xia, Fenghua Ling, Zhenhui Jessie Li et al.
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