NeurIPS 2025: all accepted papers
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- Blackbox Model Provenance via Palimpsestic Membership Inference ↗Rohith Kuditipudi, Jing Yu Huang, Sally Zhu et al.
- Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers ↗Kazuki Irie, Morris Yau, Samuel J. Gershman
- Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames ↗Ev Zisselman, Mirco Mutti, Shelly Francis-Meretzki et al.
- Block-Biased Mamba for Long-Range Sequence Processing ↗Annan Yu, N. Benjamin Erichson
- Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving ↗Xinyu Wang, Jonas Kübler, Kailash Budhathoki et al.
- BlockDecoder: Boosting ASR Decoders with Context and Merger Modules ↗Darshan Prabhu, Preethi Jyothi
- BlockScan: Detecting Anomalies in Blockchain Transactions ↗Jiahao Yu, Xian Wei Wu, Hao Liu et al.
- BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing ↗Jinsu Kim, Yunhun Nam, Minseon Kim et al.
- Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration ↗俊琪 高, Zhichang Guo, Dazhi Zhang et al.
- BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation ↗Rishal Aggarwal, Jacky H. K. Chen, Nicholas M. Boffi et al.
- Boosting Adversarial Transferability with Spatial Adversarial Alignment ↗Zhaoyu Chen, Haijing Guo, Kaixun Jiang et al.
- Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation ↗Jingmin Zhu, Anqi Zhu, Hossein Rahmani et al.
- Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers ↗Zhuomeng Zhang, Fangqi Li, Hanyi Wang et al.
- Bootstrap Off-policy with World Model ↗Guojian Zhan, Likun Wang, Xiangteng Zhang et al.
- Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport ↗Jiawei Huang, Minming Li, Hu Ding
- Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization ↗Qi Liu, Xinhao Zheng, Renqiu Xia et al.
- Born a Transformer — Always a Transformer? On the Effect of Pretraining on Architectural Abilities ↗Mayank Jobanputra, Yana Veitsman, Yash Sarrof et al.
- Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs ↗Yunfeng Liao, Yangxin Wu, Xiucheng Li
- Boundary-to-Region Supervision for Offline Safe Reinforcement Learning ↗Huikang Su, Dengyun Peng, Zifeng Zhuang et al.
- Bounds on the computational complexity of neurons due to dendritic morphology ↗Anamika Agrawal, Michael A. Buice
- BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces ↗Matthew Landers, Taylor W. Killian, Hugo Barnes et al.
- Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected ↗Yingtao Zhang, Diego Cerretti, Jialin Zhao et al.
- Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling ↗Wentao Lu, Dong Nie, Pengcheng Xue et al.
- Brain-Like Processing Pathways Form in Models With Heterogeneous Experts ↗Jack Cook, Danyal Akarca, Rui Ponte Costa et al.
- Brain-like Variational Inference ↗Hadi Vafaii, Dekel Galor, Jacob L. Yates
- Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models ↗Omer Moussa, Mariya Toneva
- BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM ↗Wen Xiong, Junzhong Ji, Jinduo Liu
- BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold ↗Zhixuan Zhou, Tingting Dan, Guorong Wu
- BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model ↗Ziquan Wei, Tingting Dan, Tianlong Chen et al.
- BrainODE: Neural Shape Dynamics for Age- and Disease-aware Brain Trajectories ↗Wonjung Park, Suhyun Ahn, Maria Hernandez et al.
- Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression ↗Xiaohui Wang, Hancheng Ye, Chen Yu Huang et al.
- Breaking the Discretization Barrier of Continuous Physics Simulation Learning ↗Fan Xu, Hao Wu, Nan Wang et al.
- Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining ↗Haochen Zhang, Junze Yin, Guanchu Wang et al.
- Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification ↗Xinpeng Lv, Yunxin Mao, Haoxuan Li et al.
- Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs ↗Qi Kuang, Jiayi Wang, Fan Zhou et al.
- Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies ↗Félix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan John de Kock et al.
- Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation ↗Mingyang Liu, Xinyang Chen, Xiucheng Li et al.
- BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection ↗Yihan Wang, Yiwei Lu, Xiao-Shan Gao et al.
- Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity ↗Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon et al.
- Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks ↗Sara Cammarota, Matteo Ferrante, Nicola Toschi
- Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts ↗Chaitanya Kapoor, Sudhanshu Srivastava, Meenakshi Khosla
- Bridging Crypto with ML-based Solvers: the SAT Formulation and Benchmarks ↗Xinhao Zheng, Xinhao Song, Bolin Qiu et al.
- Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains ↗Colin Kohler, Purvik Patel, Nathan Vaska et al.
- Bridging Expressivity and Scalability with Adaptive Unitary SSMs ↗Arjun Karuvally, Franz Nowak, Andy Keller et al.
- Bridging Human and LLM Judgments: Understanding and Narrowing the Gap ↗Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin et al.
- Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation ↗Jianyuan Guo, Peike Patrick Li, Trevor Cohn
- Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness ↗Longwei Wang, Ifrat Ikhtear Uddin, KC Santosh et al.
- Bridging Theory and Practice in Link Representation with Graph Neural Networks ↗Veronica Lachi, Francesco Ferrini, Antonio Longa et al.
- Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation ↗Jianyang Qin, Chaoyang Li, Jinhao Cui et al.
- Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution ↗Sihan Wang, Wenjie Du, Qing Zhu et al.
- Bridging the gap to real-world language-grounded visual concept learning ↗Whie Jung, Semin Kim, Junee Kim et al.
- Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery ↗Mélisande Teng, Arthur Ouaknine, Étienne Laliberté et al.
- Bubbleformer: Forecasting Boiling with Transformers ↗Sheikh Md Shakeel Hassan, Xianwei Zou, Akash Dhruv et al.
- Buffer layers for Test-Time Adaptation ↗Hyeongyu Kim, GeonHui Han, Doisk Hwang
- Building 3D Representations and Generating Motions From a Single Image via Video-Generation ↗Weiming Zhi, Ziyong Ma, Tianyi Zhang et al.
- BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization ↗Tonghan Wang, Yanchen Jiang, David C. Parkes
- BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes ↗Lishen Qu, Zhihao Liu, Shihao Zhou et al.
- C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models ↗Amir Hossein Rahmati, Sanket R. Jantre, Weifeng Zhang et al.
- C-NAV: Towards Self-Evolving Continual Object Navigation in Open World ↗Ming-Ming Yu, Fei Zhu, Wenzhuo Liu et al.
- C-SEO Bench: Does Conversational SEO Work? ↗Haritz Puerto, Martin Gubri, Tommaso Green et al.
- C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails ↗Mintong Kang, Zhaorun Chen, Bo Li
- C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning ↗Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev et al.
- C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction ↗Kuan Wei Huang, Brandon Li, Bharath Hariharan et al.
- CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop ↗Weijian Ma, Shizhao Sun, Ruiyu Wang et al.
- CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs ↗Jan Hagnberger, Daniel Musekamp, Mathias Niepert
- CALM: Culturally Self-Aware Language Models ↗Lingzhi Shen, Xiaohao Cai, Yunfei Long et al.
- CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension ↗Rui Li, Zeyu Zhang, Xiaohe Bo et al.
- CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching ↗Chen Chen, Pengsheng Guo, Liangchen Song et al.
- CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention ↗Xiaoqing Hu, Fei Huang, Chenhan Yuan et al.
- CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs ↗Zhiyuan Ning, Jiawei Shao, Ruge Xu et al.
- CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization ↗Zhong Irene Wang, Mostafa Elhoushi, H. Ekin Sumbul et al.
- CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization ↗Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang et al.
- CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation ↗Bowen Song, Zecheng Zhang, Zhaoxu Luo et al.
- CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices ↗XUCHEN FENG, Siyu Liao
- CG-SSL: Concept-Guided Self-Supervised Learning ↗Sara Atito, Josef Kittler, Imran Razzak et al.
- CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research ↗Owen Queen, Harrison G. Zhang, James Zou
- CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis ↗Florian Barthel, Wieland Morgenstern, Paul Hinzer et al.
- CHASM: Unveiling Covert Advertisements on Chinese Social Media ↗Jingyi Zheng, Tianyi Hu, Yule Liu et al.
- CHiQPM: Calibrated Hierarchical Interpretable Image Classification ↗Thomas Norrenbrock, Timo Kaiser, Sovan Biswas et al.
- CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections ↗K. J. Kim, Eunhye Jeong, Sehyeon Lee et al.
- CLEAR: Command Level Annotated Dataset for Ransomware Detection ↗Barak Bringoltz, Elisha Halperin, Ran Feraru et al.
- CLEVER: A Curated Benchmark for Formally Verified Code Generation ↗Amitayush Thakur, Jasper Lee, George Tsoukalas et al.
- CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering ↗Zhengqing Wang, Yuefan Wu, Jiacheng Chen et al.
- COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation ↗Uliana Parkina, Maxim Rakhuba
- COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation ↗Xueqing Deng, Linjie Yang, Qihang Yu et al.
- COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space ↗Pengyi Li, Hongyao Tang, Yifu Yuan et al.
- COOPERA: Continual Open-Ended Human-Robot Assistance ↗Chenyang Ma, Kai Lu, Ruta Desai et al.
- CORAL: Disentangling Latent Representations in Long-Tailed Diffusion ↗Esther Rodriguez, Monica Welfert, Samuel McDowell et al.
- CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning ↗Pengyi Li, Shixiong Kai, Jianye Hao et al.
- CPO: Condition Preference Optimization for Controllable Image Generation ↗Zonglin Lyu, Hongran Li, Xinxin Liu et al.
- CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming ↗Han Deng, Yuan Meng, Shixiang Tang et al.
- CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection ↗Zhichao Sun, Huazhang Hu, Yidong Ma et al.
- CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding ↗Xianhan Tan, Binli Luo, Yu Qi et al.
- CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D ↗Francis Rhys Ward, Teun van der Weij, Hanna Gábor et al.
- CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning ↗Seewon Choi, Alaia Solko-Breslin, Rajeev Alur et al.
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