NeurIPS 2025: all accepted papers
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- Balanced Conic Rectified Flow ↗Kim Shin seong, Mingi Kwon, Jaeseok Jeong et al.1 citation
- BayeSQP: Bayesian Optimization through Sequential Quadratic Programming ↗Paul Brunzema, Sebastian Trimpe1 citation
- Bayesian Concept Bottleneck Models with LLM Priors ↗Jean Feng, Avni Kothari, Lucas S. Zier et al.1 citation
- BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading ↗Jonathan Schmidt, Simon Giebenhain, Matthias Nießner1 citation
- Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms ↗Zhihai Wang, Zijie Geng, Zhaojie Tu et al.1 citation
- Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges ↗Pengrui Quan, Brian Wang, Kang Yang et al.1 citation
- Benign Overfitting in Single-Head Attention ↗Roey Magen, Shuning Shang, Zhiwei Xu et al.1 citation
- Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations ↗Li Hao, He CAO, Bin Feng et al.1 citation
- Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability ↗Divya Jyoti Bajpai, Manjesh K. Hanawal1 citation
- Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation ↗xin zhang, Ziruo Zhang, JIAWEI DU et al.1 citation
- Beyond Prediction: Managing the Repercussions of Machine Learning Applications ↗Aline Weber, Blossom Metevier, Yuriy Brun et al.1 citation
- Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation ↗Muquan Li, Hang Gou, Dongyang Zhang et al.1 citation
- Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs ↗Yi Hu, Shijia Kang, Haotong Yang et al.1 citation
- Beyond the Average: Distributional Causal Inference under Imperfect Compliance ↗Undral Byambadalai, Tomu Hirata, Tatsushi Oka et al.1 citation
- Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning ↗Xiaomeng Fan, Yuchuan Mao, Zhi Yang Gao et al.1 citation
- BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints ↗Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti et al.1 citation
- Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation ↗Wenbin An, Jiahao Nie, Feng Tian et al.1 citation
- Boosting Resilience of Large Language Models through Causality-Driven Robust Optimization ↗Xiaoling Zhou, Mingjie Zhang, Zhemg Lee et al.1 citation
- BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems ↗Andy K. Zhang, Joey Ji, Celeste Menders et al.1 citation
- Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining ↗Raghuveer Thirukovalluru, Rui Meng, Ye Liu et al.1 citation
- Bridging Scales: Spectral Theory Reveals How Local Connectivity Rules Sculpt Global Neural Dynamics in Spatially Extended Networks ↗Yuhan Huang, Keren Gao, Dongping Yang et al.1 citation
- Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations ↗Brian Zheng, Alisa Liu, Orevaoghene Ahia et al.1 citation
- CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes ↗Jiyao Zhang, Zhiyuan Ma, Tianhao Wu et al.1 citation
- CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction ↗Yiyi Liu, Chunyang Liu, Bohan Wang et al.1 citation
- CAMILA: Context-Aware Masking for Image Editing with Language Alignment ↗Hyunseung Kim, Chiho Choi, Srikanth Malla et al.1 citation
- CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems ↗Rui Liu, Yu Shen, Peng Gao et al.1 citation
- CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization ↗Wei W. Xing, Zhenjie Lu, Akeel Shah1 citation
- CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs ↗Sijia Chen, Xiaomin Li, Mengxue Zhang et al.1 citation
- CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models ↗Xiao An, Jiaxing Sun, Zihan Gui et al.1 citation
- CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning ↗Ao Zhou, Jiayi Guan, Li Chun Shen et al.1 citation
- CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs ↗Bowen Gao, Yanwen Huang, Yiqiao Liu et al.1 citation
- CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up ↗Songhua Liu, Zhenxiong Tan, Xinchao Wang1 citation
- CLIMB: Class-imbalanced Learning Benchmark on Tabular Data ↗Zhining Liu, Zihao Li, Ze Yang et al.1 citation
- CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning ↗Jun Wang, Fuyuan Cao, Zhixin Xue et al.1 citation
- CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation ↗Kavana Venkatesh, Connor Dunlop, Pinar Yanardag1 citation
- CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning ↗Ke Niu, Zhuofan Chen, Hou–Yong Yu et al.1 citation
- CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors ↗Mingyuan Li, Tong Jia, Hao Wang et al.1 citation
- CVGL: Causal Learning and Geometric Topology ↗Songsong Ouyang, Yingying Zhu1 citation
- Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs ↗Guiyao Tie, Zenghui Yuan, Zeli Zhao et al.1 citation
- Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark ↗Hanlei Zhang, Zhuohang Li, Hua Xu et al.1 citation
- CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems ↗Zhihao Wang, Lei Ma, GEORGE C. HURTT et al.1 citation
- Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning ↗Navita Goyal, Hal Daumé, Alexandre Drouin et al.1 citation
- Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers ↗Andrew Nam, Henry Conklin, Yukang Yang et al.1 citation
- Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning ↗Xiangning Yu, Zhuohan Wang, Linyi Yang et al.1 citation
- CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations ↗Guangyi Chen, Deng Yun-long, Peiyuan Zhu et al.1 citation
- Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention ↗Zhen Yang, Ziwei Du, Minghan Zhang et al.1 citation
- Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features ↗Kaichen Xu, Yihang Du, Mengna Liu et al.1 citation
- Causally Reliable Concept Bottleneck Models ↗G. de Felice, Arianna Casanova Flores, Francesco De Santis et al.1 citation
- CellVerse: Do Large Language Models Really Understand Cell Biology? ↗Fan Zhang, Tianyu Liu, Zhihong Zhu et al.1 citation
- Characterizing control between interacting subsystems with deep Jacobian estimation ↗Earl K. Miller, Mitchell Ostrow, Sarthak Chandra et al.1 citation
- ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding ↗Muye Huang, Lingling Zhang, Jie Ma et al.1 citation
- CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction ↗Ella Miray Rajaonson, Mahyar Rajabi Kochi, L. Mendoza et al.1 citation
- Checklists Are Better Than Reward Models For Aligning Language Models ↗Vijay Viswanathan, Yanchao Sun, Xiang Kong et al.1 citation
- ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data ↗Yifeng Jiao, Yuchen Liu, Yu Zhang et al.1 citation
- Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code ↗Augusto B. Corrêa, André G. Pereira, Jendrik Seipp1 citation
- ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive ↗X. Luo, Zihan Liu, Yangjie Zhou et al.1 citation
- Co-Reinforcement Learning for Unified Multimodal Understanding and Generation ↗Jingjing Jiang, Chongjie Si, Jun Luo et al.1 citation
- CoDA: Coordinated Diffusion Noise Optimization for Whole-Body Manipulation of Articulated Objects ↗Huaijin Pi, Zhi Cen, Zhiyang Dou et al.1 citation
- CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization ↗Yichen Yan, Ming Zhong, Qi Zhu et al.1 citation
- CoP: Agentic Red-teaming for Large Language Models using Composition of Principles ↗Chen Xiong, Pin‐Yu Chen, Tsung-Yi Ho1 citation
- Coarse-to-Fine 3D Part Assembly via Semantic Super-Parts and Symmetry-Aware Pose Estimation ↗Xinyi Zhang, Bingyang Wei, Ruixuan Yu et al.1 citation
- Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks ↗Hongyuan Tao, Ying Zhang, Zhenhao Tang et al.1 citation
- CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance ↗Myeongsoo Kim, Shweta Garg, Baishakhi Ray et al.1 citation
- CogPhys: Assessing Cognitive Load via Multimodal Remote and Contact-based Physiological Sensing ↗Anirudh Bindiganavale Harish, Peikun Guo, Bhargav Ghanekar et al.1 citation
- Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning ↗Xueqi Ma, Jun Wang, Yanbei Jiang et al.1 citation
- Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples ↗Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma et al.1 citation
- Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms ↗Hiroshi Kera, Nico Pelleriti, Yuki Ishihara et al.1 citation
- Computational Budget Should Be Considered in Data Selection ↗Weilin Wan, Weizhong Zhang, Cheng Jin1 citation
- Compute-Optimal Scaling for Value-Based Deep RL ↗Preston Fu, Oleh Rybkin, Zhiyuan Zhou et al.1 citation
- ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks ↗Santiago A. Cadena, A. Merlo, Emanuel Laude et al.1 citation
- ConViS-Bench: Estimating Video Similarity Through Semantic Concepts ↗Benedetta Liberatori, Alessandro Conti, Lorenzo Vaquero et al.1 citation
- Conditional Diffusion Anomaly Modeling on Graphs ↗Chunyu Wei, Haozhe Lin, Yueguo Chen et al.1 citation
- Conditional Panoramic Image Generation via Masked Autoregressive Modeling ↗Chaoyang Wang, Xiangtai Li, Qi Lü et al.1 citation
- Conditioning Matters: Training Diffusion Policies is Faster Than You Think ↗Zibin Dong, Yicheng Liu, Yinchuan Li et al.1 citation
- Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text ↗Zhange Zhang, Zhicheng Geng, Yuqing Ma et al.1 citation
- Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models ↗William Overman, Mohsen Bayati1 citation
- Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization ↗Sunay Joshi, Shayan Kiyani, George J. Pappas et al.1 citation
- Conformal Information Pursuit for Interactively Guiding Large Language Models ↗Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban et al.1 citation
- Conformal Linguistic Calibration: Trading-off between Factuality and Specificity ↗Zhengping Jiang, Anqi Liu, Benjamin Van Durme1 citation
- Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models ↗Sima Noorani, Shayan Kiyani, George J. Pappas et al.1 citation
- Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning ↗Kongcheng Zhang, Qi Yao, Shunyu Liu et al.1 citation
- Consistent Story Generation: Unlocking the Potential of Zigzag Sampling ↗Mingxiao Li, Mang Ning, Marie‐Francine Moens1 citation
- Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery ↗Jizhou Han, Shaokun Wang, Yuhang He et al.1 citation
- Constrained Diffusers for Safe Planning and Control ↗Jichen Zhang, Liqun Zhao, Antonis Papachristodoulou et al.1 citation
- Constrained Linear Thompson Sampling ↗Aditya Gangrade, Venkatesh Saligrama1 citation
- Contextual Integrity in LLMs via Reasoning and Reinforcement Learning ↗Guangchen Lan, Huseyin A. Inan, Sahar Abdelnabi et al.1 citation
- Continual Optimization with Symmetry Teleportation for Multi-Task Learning ↗Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu et al.1 citation
- Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control ↗Chengxiu HUA, Jiawen Gu, Yushun Tang1 citation
- Continuous Simplicial Neural Networks ↗Aref Einizade, Dorina Thanou, Fragkiskos D. Malliaros et al.1 citation
- Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees ↗Jiawei Sun, Shuai Zhang, Hongkang Li et al.1 citation
- Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework ↗Mustafa Hajij, Lennart Bastian, Sarah Osentoski et al.1 citation
- CoralVQA: A Large-Scale Visual Question Answering Dataset for Coral Reef Image Understanding ↗hongyong han, Wei Wang, Gaowei Zhang et al.1 citation
- Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems ↗Elfarouk Harb, Yousef Yassin, Chandra Chekuri1 citation
- Cost-Aware Contrastive Routing for LLMs ↗Reza Shirkavand, Shangqian Gao, Peiran Yu et al.1 citation
- Counterfactual Image Editing with Disentangled Causal Latent Space ↗Yushu Pan, Elias Bareinboim1 citation
- Counterfactual Implicit Feedback Modeling ↗Chuan Zhou, Lina Yao, Haoxuan Li et al.1 citation
- CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder ↗Yongmin Lee, Hye Won Chung1 citation
- CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning ↗Yifei Zhang, Hao Zhu, Junhao Dong et al.1 citation
- Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL ↗Xingyu Chen, Shihao Ma, Runsheng Lin et al.1 citation
- C²Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning ↗Kunlun Xu, Yibo Feng, Jiangmeng Li et al.1 citation
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