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# NeurIPS 2025: all accepted papers

5,819 papers · page 56 of 59 · the most cited first · [← NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

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5501. **[Training-Free Safe Denoisers for Safe Use of Diffusion Models ↗](https://doi.org/10.52202/085713-4539)**Mingyu Kim, Dongjun Kim, Amman Yusuf et al.
5502. **[Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models ↗](https://doi.org/10.52202/085713-2880)**Byeonghu Na, Mina Kang, Jiseok Kwak et al.
5503. **[Training-free Online Video Step Grounding ↗](https://doi.org/10.52202/085713-3320)**Luca Zanella, Massimiliano Mancini, Yiming Wang et al.
5504. **[TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration ↗](https://doi.org/10.52202/085713-0729)**Yuwei Du, Jie Feng, Jie Zhao et al.
5505. **[TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model ↗](https://doi.org/10.52202/085713-0735)**Yichen Liu, Yan Lin, Shengnan Guo et al.
5506. **[Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training ↗](https://doi.org/10.52202/085713-3799)**Brian R. Bartoldson, Siddarth Venkatraman, James Diffenderfer et al.
5507. **[Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning ↗](https://doi.org/10.52202/085713-3900)**Yurun Yuan, Fan Chen, Zeyu Jia et al.
5508. **[Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design ↗](https://doi.org/10.52202/085713-4817)**Yunfan Li, Eric Liu, Lin Yang
5509. **[TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems ↗](https://doi.org/10.52202/085713-4709)**Jiahao Yu, Haozhuang Liu, Yeqiu Yang et al.
5510. **[Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties ↗](https://doi.org/10.52202/085713-3640)**Jiyoung Lee, Seungho Kim, Jieun Han et al.
5511. **[TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup ↗](https://doi.org/10.52202/085713-2741)**Fanxu Meng, Pingzhi Tang, Zengwei Yao et al.
5512. **[Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness ↗](https://doi.org/10.52202/085713-0097)**Yanyu Ren, Li Chen, Dan Li et al.
5513. **[Transductive Conformal Inference for Full Ranking ↗](https://doi.org/10.52202/085713-0212)**Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard
5514. **[Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression ↗](https://doi.org/10.52202/085713-4610)**Yeichan Kim, Ilmun Kim, Se‐Young Park
5515. **[Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model ↗](https://doi.org/10.52202/085713-1143)**Yuyao Wang, Yulan Cheng, Debarghya Mukherjee et al.
5516. **[TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks ↗](https://doi.org/10.52202/085713-4665)**Fabio Brau, Maura Pintor, Antonio Emanuele Ciná et al.
5517. **[Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models ↗](https://doi.org/10.52202/085713-1675)**Tomáš Souček, Sylvestre-Alvise Rebuffi, Pierre Fernandez et al.
5518. **[Transferring Causal Effects using Proxies ↗](https://doi.org/10.52202/085713-3718)**Manuel Iglesias-Alonso, Felix Schur, Julius von Kügelgen et al.
5519. **[Transferring Linear Features Across Language Models With Model Stitching ↗](https://doi.org/10.52202/085713-1621)**Alan Chen, Jack Merullo, Alessandro Stolfo et al.
5520. **[Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning ↗](https://doi.org/10.52202/085713-5345)**Jiaru Zou, Yikun Ban, Zihao Li et al.
5521. **[Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders ↗](https://doi.org/10.52202/085713-5724)**Mengyu Ye, Jun Suzuki, Tatsuro Inaba et al.
5522. **[Transformer brain encoders explain human high-level visual responses ↗](https://doi.org/10.52202/085713-1902)**Hossein Adeli, Sun Minni, Nikolaus Kriegeskorte
5523. **[Transformers Learn Faster with Semantic Focus ↗](https://doi.org/10.52202/085713-1124)**Parikshit Ram, Kenneth L. Clarkson, Tim Klinger et al.
5524. **[Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization ↗](https://doi.org/10.52202/085713-4230)**Yu Huang, Zixin Wen, Aarti Singh et al.
5525. **[Transformers are almost optimal metalearners for linear classification ↗](https://doi.org/10.52202/085713-2572)**Roey Magen, Gal Vardi
5526. **[Transformers for Mixed-type Event Sequences ↗](https://doi.org/10.52202/085713-3833)**Felix Draxler, Yang Meng, Kai Nelson et al.
5527. **[Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones ↗](https://doi.org/10.52202/085713-2069)**Ke Li, Yan Ding, Zhiqin Zhu et al.
5528. **[Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection ↗](https://doi.org/10.52202/085713-5681)**Litao Li, Leo Song, Steven Ding et al.
5529. **[Transition Matching: Scalable and Flexible Generative Modeling ↗](https://doi.org/10.52202/085713-4144)**Neta Shaul, Uriel Singer, Itai Gat et al.
5530. **[Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models ↗](https://doi.org/10.52202/085713-4457)**Chunlong Xie, Kangjie Chen, Shangwei Guo et al.
5531. **[Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers ↗](https://doi.org/10.52202/085713-4553)**Daniel D’souza, Julia Kreutzer, Adrien Morisot et al.
5532. **[Treatment Effect Estimation for Optimal Decision-Making ↗](https://doi.org/10.52202/085713-4464)**Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal et al.
5533. **[Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm ↗](https://doi.org/10.52202/085713-1882)**Clément Bénard
5534. **[Tree of Preferences for Diversified Recommendation ↗](https://doi.org/10.52202/085713-5191)**Hanyang Yuan, Ning Tang, Tongya Zheng et al.
5535. **[Tree-Based Premise Selection for Lean4 ↗](https://doi.org/10.52202/085713-1094)**Zichen Wang, Anjie Dong, Zaiwen Wen
5536. **[Tree-Guided Diffusion Planner ↗](https://doi.org/10.52202/085713-2277)**Hyeonseong Jeon, Cheolhong Min, Jaesik Park
5537. **[Tree-Sliced Entropy Partial Transport ↗](https://doi.org/10.52202/085713-0555)**Viet-Hoang Tran, Thanh Tran, Thanh Van Chu et al.
5538. **[TreeGen: A Bayesian Generative Model for Hierarchies ↗](https://doi.org/10.52202/085713-2815)**Marcel Kollovieh, N. Fleischmann, Filippo Guerranti et al.
5539. **[TreeSplat: Mergeable Tree for Deformable Gaussian Splatting ↗](https://doi.org/10.52202/085713-4576)**Qiuhong Shen, Xingyi Yang, Xinchao Wang
5540. **[TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning ↗](https://doi.org/10.52202/085713-2144)**Sheng Wang, Pengan Chen, Jingqi Zhou et al.
5541. **[Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs ↗](https://doi.org/10.52202/085713-1369)**Yibo Wang, Hai-Long Sun, Guangda Huzhang et al.
5542. **[Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms ↗](https://doi.org/10.52202/085713-3295)**Baran Hashemi, Kurt Pasque, Christopher Teska et al.
5543. **[True Impact of Cascade Length in Contextual Cascading Bandits ↗](https://doi.org/10.52202/085713-2882)**Hyun-Jun Choi, Joongkyu Lee, Min-hwan Oh
5544. **[True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics ↗](https://doi.org/10.52202/085713-0455)**Christoph Jürgen Hemmer, Daniel Durstewitz
5545. **[Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference ↗](https://doi.org/10.52202/085713-5516)**Denis Blessing, Julius Berner, Lorenz Richter et al.
5546. **[Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm ↗](https://doi.org/10.52202/085713-1266)**Yang Chen, Menglin Zou, Jiaqi Zhang et al.
5547. **[Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project ↗](https://doi.org/10.52202/085713-4737)**Pratik Rathore, Zachary Frangella, Sachin K Garg et al.
5548. **[Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound ↗](https://doi.org/10.52202/085713-4573)**Tal Fiskus, Uri Shaham
5549. **[Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning ↗](https://doi.org/10.52202/085713-2876)**Chaoyang Li, Runze Ye, Jianyang Qin et al.
5550. **[Twilight: Adaptive Attention Sparsity with Hierarchical Top-p Pruning ↗](https://doi.org/10.52202/085713-3986)**Chaofan Lin, Jiaming Tang, Shuo Yang et al.
5551. **[Two Causally Related Needles in a Video Haystack ↗](https://doi.org/10.52202/085713-5584)**Miaoyu Li, Qin Chao, Boyang Li
5552. **[Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training ↗](https://doi.org/10.52202/085713-4701)**Mengru Wang, Xingyu Chen, Yue Wang et al.
5553. **[Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising ↗](https://doi.org/10.52202/085713-4676)**Mateo Clemente, Leo Maxime Brunswic, Yang Yang et al.
5554. **[Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization ↗](https://doi.org/10.52202/085713-4989)**Guanchen Li, Yixing Xu, Zeping Li et al.
5555. **[UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations ↗](https://doi.org/10.52202/085713-1457)**Elena Celledoni, Brynjulf Owren, Chong Shen et al.
5556. **[UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection ↗](https://doi.org/10.52202/085713-0020)**Yang Zhao, Kai Xiong, Xiao Hua Ding et al.
5557. **[UFT: Unifying Supervised and Reinforcement Fine-Tuning ↗](https://doi.org/10.52202/085713-3394)**Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
5558. **[UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss ↗](https://doi.org/10.52202/085713-1885)**Zhichao Wang, Xinhai Chen, Qinglin Wang et al.
5559. **[UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights ↗](https://doi.org/10.52202/085713-3261)**Shijun Liang, Ismail Alkhouri, Siddhant Gautam et al.
5560. **[UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis ↗](https://doi.org/10.52202/085713-5820)**Thanh-Tung Le, Tuan Pham, Tung Nguyen et al.
5561. **[UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation ↗](https://doi.org/10.52202/085713-0574)**Chengye Wang, Yuyuan Li, XiaoHua Feng et al.
5562. **[URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles ↗](https://doi.org/10.52202/085713-2787)**Ahmet Onur Akman, Anastasia Psarou, Michał Hoffmann et al.
5563. **[URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training ↗](https://doi.org/10.52202/085713-4584)**Dongyang Fan, Vinko Sabolčec, Martin Jaggi
5564. **[UVE: Are MLLMs Unified Evaluators for AI-Generated Videos? ↗](https://doi.org/10.52202/085713-0564)**Yuanxin Liu, Rui Zhu, Shuhuai Ren et al.
5565. **[UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions ↗](https://doi.org/10.52202/085713-5445)**Zhucun Xue, Jiangning Zhang, Teng Hu et al.
5566. **[Ultrametric Cluster Hierarchies: I Want ‘em All! ↗](https://doi.org/10.52202/085713-4268)**Andrew Draganov, Pascal Weber, Rasmus Jørgensen et al.
5567. **[Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems ↗](https://doi.org/10.52202/085713-1723)**Nhan‐Phu Chung, Jinhui Han, Bohan Li et al.
5568. **[Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification ↗](https://doi.org/10.52202/085713-3030)**Zhongao Zhou, Bin Yang, Wenke Huang et al.
5569. **[Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning ↗](https://doi.org/10.52202/085713-3166)**Tien Manh Luong, Khai Nguyen, Dinh Phung et al.
5570. **[Uncertainty Estimation by Flexible Evidential Deep Learning ↗](https://doi.org/10.52202/085713-3957)**Taeseong Yoon, Heeyoung Kim
5571. **[Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations ↗](https://doi.org/10.52202/085713-2053)**Feng Xu, Thomas Markovich
5572. **[Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows ↗](https://doi.org/10.52202/085713-1692)**Adriel Sosa Marco, John D. Kirwan, Alexia Toumpa et al.
5573. **[Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference ↗](https://doi.org/10.52202/085713-2531)**Frank Shih, Zhenghao Jiang, Faming Liang
5574. **[Uncertainty Quantification with the Empirical Neural Tangent Kernel ↗](https://doi.org/10.52202/085713-4983)**Joseph Wilson, Chris van der Heide, Liam Hodgkinson et al.
5575. **[Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design ↗](https://doi.org/10.52202/085713-4157)**Lianghong Chen, Dongkyu Kim, Michael Domaratzki et al.
5576. **[Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations ↗](https://doi.org/10.52202/085713-2733)**Yujie Zhu, Charles A. Hepburn, Matthew Thorpe et al.
5577. **[Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands ↗](https://doi.org/10.52202/085713-3859)**Vasiliki Tassopoulou, Charis J. Stamouli, Haochang Shou et al.
5578. **[Uncertainty-Guided Exploration for Efficient AlphaZero Training ↗](https://doi.org/10.52202/085713-1361)**Scott Cheng, Meng-Yu Tsai, Ding‐Yong Hong et al.
5579. **[Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data ↗](https://doi.org/10.52202/085713-2597)**Xingyu Ren, Pengwei Liu, Pengkai Wang et al.
5580. **[Uncertainty-Sensitive Privileged Learning ↗](https://doi.org/10.52202/085713-2662)**Fan-Ming Luo, Lei Yuan, Yang Yu
5581. **[Uncertainty-aware Preference Alignment for Diffusion Policies ↗](https://doi.org/10.52202/085713-2606)**Runqing Miao, Sheng Xu, Runyi Zhao et al.
5582. **[Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding ↗](https://doi.org/10.52202/085713-1498)**Jian Hu, Zixu Cheng, Shaogang Gong et al.
5583. **[Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback ↗](https://doi.org/10.52202/085713-5072)**Jing Jing Dong, Baoxiang Wang, Yaoliang Yu
5584. **[Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game ↗](https://doi.org/10.52202/085713-3185)**Tingting Dan, Zhihao Fan, Guorong Wu
5585. **[Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks ↗](https://doi.org/10.52202/085713-1476)**Gavin McCracken, Gabriela Moisescu-Pareja, Vincent Létourneau et al.
5586. **[Uncovering the Spectral Bias in Diagonal State Space Models ↗](https://doi.org/10.52202/085713-1292)**Rubén Solozabal, Velibor Bojković, Hilal AlQuabeh et al.
5587. **[Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection ↗](https://doi.org/10.52202/085713-3726)**Xiaotian Qiao, Ke Xu, Xianglong Yang et al.
5588. **[Understanding Adam Requires Better Rotation Dependent Assumptions ↗](https://doi.org/10.52202/085713-3838)**Tianyue Zhang, Lucas Maes, Alan Milligan et al.
5589. **[Understanding Bias Terms in Neural Representations ↗](https://doi.org/10.52202/085713-3463)**Weixiang Zhang, Boxi Li, Shuzhao Xie et al.
5590. **[Understanding Contrastive Learning via Gaussian Mixture Models ↗](https://doi.org/10.52202/085713-3703)**Parikshit Bansal, Ali Kavis, Sujay Sanghavi
5591. **[Understanding Data Influence in Reinforcement Finetuning ↗](https://doi.org/10.52202/085713-1294)**Haoru Tan, Xiuzhe Wu, Sitong Wu et al.
5592. **[Understanding Differential Transformer Unchains Pretrained Self-Attentions ↗](https://doi.org/10.52202/085713-2912)**Chaerin Kong, Jiho Jang, Nojun Kwak
5593. **[Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis ↗](https://doi.org/10.52202/085713-3338)**Enze Shi, Pankaj Bhagwat, Zhixian Yang et al.
5594. **[Understanding Generalization in Physics Informed Models through Affine Variety Dimensions ↗](https://doi.org/10.52202/085713-1496)**Takeshi Koshizuka, Issei Sato
5595. **[Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration ↗](https://doi.org/10.52202/085713-3354)**Ahmed Khaled, Satyen Kale, Arthur Douillard et al.
5596. **[Understanding Prompt Tuning and In-Context Learning via Meta-Learning ↗](https://doi.org/10.52202/085713-5565)**Tim Genewein, Li Kevin Wenliang, Jordi Grau-Moya et al.
5597. **[Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem ↗](https://doi.org/10.52202/085713-1051)**Elvis Dohmatob
5598. **[Understanding and Enhancing Mask-Based Pretraining towards Universal Representations ↗](https://doi.org/10.52202/085713-4777)**Mingze Dong, Leda Wang, Yuval Kluger
5599. **[Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits ↗](https://doi.org/10.52202/085713-2696)**Weixin Chen, Han Zhao
5600. **[Understanding and Improving Fast Adversarial Training against l0 Bounded Perturbations ↗](https://doi.org/10.52202/085713-1287)**Xuyang Zhong, Yixiao Huang, Chen Liu

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