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# NeurIPS 2025: all accepted papers

5,819 papers · page 40 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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3901. **[Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections ↗](https://doi.org/10.52202/085713-4064)**Berken Utku Demirel, Christian Holz
3902. **[Learning conformational ensembles of proteins based on backbone geometry ↗](https://doi.org/10.52202/085713-4749)**Nicolas Wolf, Leif Seute, Vsevolod Viliuga et al.
3903. **[Learning from A Single Markovian Trajectory: Optimality and Variance Reduction ↗](https://doi.org/10.52202/085713-0675)**Zhenyu Sun, Ermin Wei
3904. **[Learning from Delayed Feedback in Games via Extra Prediction ↗](https://doi.org/10.52202/085713-0048)**Yuma Fujimoto, Kenshi Abe, Kaito Ariu
3905. **[Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering ↗](https://doi.org/10.52202/085713-0615)**Yiming Wang, Qun Li, Dongxia Chang et al.
3906. **[Learning from Interval Targets ↗](https://doi.org/10.52202/085713-2018)**Rattana Pukdee, Ziqi Ke, Chirag Gupta
3907. **[Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models ↗](https://doi.org/10.52202/085713-1465)**Uladzislau Sobal, Wancong Zhang, Kyunghyun Cho et al.
3908. **[Learning from positive and unlabeled examples -Finite size sample bounds ↗](https://doi.org/10.52202/085713-1722)**Farnam Mansouri, Shai Ben-David
3909. **[Learning in Compact Spaces with Approximately Normalized Transformer ↗](https://doi.org/10.52202/085713-2546)**Jörg K. H. Franke, Urs Spiegelhalter, Marianna Nezhurina et al.
3910. **[Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis ↗](https://doi.org/10.52202/085713-5675)**Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt et al.
3911. **[Learning long range dependencies through time reversal symmetry breaking ↗](https://doi.org/10.52202/085713-2435)**Guillaume Pourcel, Maxence Ernoult
3912. **[Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free ↗](https://doi.org/10.52202/085713-4003)**Stephen Zhang, Michael Stumpf
3913. **[Learning normalized image densities via dual score matching ↗](https://doi.org/10.52202/085713-3002)**Florentin Guth, Zahra Kadkhodaie, Eero P. Simoncelli
3914. **[Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws ↗](https://doi.org/10.52202/085713-4910)**Gérard Ben Arous, Murat A. Erdogdu, N. Mert Vural et al.
3915. **[Learning single index models via harmonic decomposition ↗](https://doi.org/10.52202/085713-1501)**Nirmit Joshi, Hugo Koubbi, Theodor Misiakiewicz et al.
3916. **[Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks ↗](https://doi.org/10.52202/085713-1351)**Guobin Shen, Dongcheng Zhao, Yiting Dong et al.
3917. **[Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks ↗](https://doi.org/10.52202/085713-2636)**Artur Back de Luca, George Giapitzakis, Kimon Fountoulakis
3918. **[Learning to Better Search with Language Models via Guided Reinforced Self-Training ↗](https://doi.org/10.52202/085713-5588)**Seungyong Moon, Bumsoo Park, Hyun Oh Song
3919. **[Learning to Clean: Reinforcement Learning for Noisy Label Correction ↗](https://doi.org/10.52202/085713-2803)**Marzi Heidari, Hanping Zhang, Yuhong Guo
3920. **[Learning to Condition: A Neural Heuristic for Scalable MPE Inference ↗](https://doi.org/10.52202/085713-4045)**Brij Malhotra, Shivvrat Arya, Tahrima Rahman et al.
3921. **[Learning to Control Free-Form Soft Swimmers ↗](https://doi.org/10.52202/085713-1794)**Changyu Hu, Yanke Qu, Qiuan Yang et al.
3922. **[Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding ↗](https://doi.org/10.52202/085713-3641)**Sunwoo Kim, Hyunjin Hwang, Kijung Shin
3923. **[Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning ↗](https://doi.org/10.52202/085713-0837)**Yiju Guo, Wenkai Yang, Zexu Sun et al.
3924. **[Learning to Generalize: An Information Perspective on Neural Processes ↗](https://doi.org/10.52202/085713-4367)**Hui Li, Huafeng Liu, Shuyang Lin et al.
3925. **[Learning to Generate Human-Human-Object Interactions from Textual Descriptions ↗](https://doi.org/10.52202/085713-4289)**Jeonghyeon Na, Sangwon Baik, Inhee Lee et al.
3926. **[Learning to Integrate Diffusion ODEs by Averaging the Derivatives ↗](https://doi.org/10.52202/085713-4462)**Wenze Liu, Xiangyu Yue
3927. **[Learning to Learn with Contrastive Meta-Objective ↗](https://doi.org/10.52202/085713-1118)**Shiguang Wu, Yaqing Wang, Yatao Bian et al.
3928. **[Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making ↗](https://doi.org/10.52202/085713-1762)**Tianyuan Jia, Ziyu Li, Qing Li et al.
3929. **[Learning to Rank for In-Context Example Retrieval ↗](https://doi.org/10.52202/085713-4732)**Yuwen Ji, Luodan Zhang, Ambyer Han et al.
3930. **[Learning to Solve Complex Problems via Dataset Decomposition ↗](https://doi.org/10.52202/085713-5064)**Wanru Zhao, Lucas Caccia, Zhengyan Shi et al.
3931. **[Learning to Steer: Input-dependent Steering for Multimodal LLMs ↗](https://doi.org/10.52202/085713-5341)**Jayneel Parekh, Pegah Khayatan, Mustafa Shukor et al.
3932. **[Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs ↗](https://doi.org/10.52202/085713-4207)**Jingyao Wang, Wenwen Qiang, Zeen Song et al.
3933. **[Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization ↗](https://doi.org/10.52202/085713-4316)**Chenrui Wang, Junyi Shu, Billy Chiu et al.
3934. **[Learning to Zoom with Anatomical Relations for Medical Structure Detection ↗](https://doi.org/10.52202/085713-5377)**Bin Pu, Liwen Wang, Xingbo Dong et al.
3935. **[Learning to cluster neuronal function ↗](https://doi.org/10.52202/085713-4602)**Nina S Nellen, Polina Turishcheva, Michaela Vystrčilová et al.
3936. **[Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting ↗](https://doi.org/10.52202/085713-5210)**Wei Chen, Yuxuan Liang
3937. **[Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions ↗](https://doi.org/10.52202/085713-2699)**Yizhou Xu, Florent Krząkała, Lenka Zdeborová
3938. **[Learning with Statistical Equality Constraints ↗](https://doi.org/10.52202/085713-0583)**Aneesh Barthakur, Luiz F. O. Chamon
3939. **[Learning “Partner-Aware” Collaborators in Multi-Party Collaboration ↗](https://doi.org/10.52202/085713-4371)**Abhijnan Nath, Nikhil Krishnaswamy
3940. **[Learning-Augmented Algorithms for k-median via Online Learning ↗](https://doi.org/10.52202/085713-4236)**Anish Hebbar, Rong Ge, Amit Kumar et al.
3941. **[Learning-Augmented Facility Location Mechanisms for Envy Ratio ↗](https://doi.org/10.52202/085713-5447)**HARIS AZIZ, Yuhang Guo, Alexander Lam et al.
3942. **[Learning-Augmented Online Bidding in Stochastic Settings ↗](https://doi.org/10.52202/085713-2269)**Spyros Angelopoulos, Bertrand Simon
3943. **[Learning-Augmented Online Bipartite Fractional Matching ↗](https://doi.org/10.52202/085713-0262)**Davin Choo, Billy Jin, Yongho Shin
3944. **[Learning-Augmented Streaming Algorithms for Correlation Clustering ↗](https://doi.org/10.52202/085713-5208)**Yinhao Dong, Shan Jiang, Shi Li et al.
3945. **[Least squares variational inference ↗](https://doi.org/10.52202/085713-4838)**Yvann Le Fay, Nicolas Chopin, Simon Barthelmé
3946. **[Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation ↗](https://doi.org/10.52202/085713-4023)**Yuxuan Zhang, Zhenbo Shi, han ye et al.
3947. **[Length Generalization via Auxiliary Tasks ↗](https://doi.org/10.52202/085713-2973)**Pranjal Awasthi, Anupam Gupta, Ravi Kumar
3948. **[Less Greedy Equivalence Search ↗](https://doi.org/10.52202/085713-4104)**Adiba Ejaz, Elias Bareinboim
3949. **[Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning ↗](https://doi.org/10.52202/085713-0093)**Wei Huang, Jianshu Zhang, Leiyu Wang et al.
3950. **[Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve ↗](https://doi.org/10.52202/085713-3642)**Yuanzhe Liu, Ryan Deng, Tim Kaler et al.
3951. **[Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs ↗](https://doi.org/10.52202/085713-0395)**Jiaqi Ding, Tingting Dan, Zhixuan Zhou et al.
3952. **[Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones ↗](https://doi.org/10.52202/085713-5561)**Parsa Mirtaheri, Ezra Edelman, Samy Jelassi et al.
3953. **[Let a Neural Network be Your Invariant ↗](https://doi.org/10.52202/085713-2509)**Mirco Giacobbe, Daniel Kroening, Abhinandan Pal et al.
3954. **[Let the LLM Stick to Its Strengths: Learning to Route Economical LLM ↗](https://doi.org/10.52202/085713-1127)**Yi-Kai Zhang, Shiyin Lu, Qingguo Chen et al.
3955. **[Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs ↗](https://doi.org/10.52202/085713-5275)**Zhiyi Lyu, Jianguo Huang, Yan Deng et al.
3956. **[Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models ↗](https://doi.org/10.52202/085713-2789)**Yi Liu, Dianqing Liu, Mingye Zhu et al.
3957. **[Leveraging robust optimization for llm alignment under distribution shifts ↗](https://doi.org/10.52202/085713-5702)**Mingye Zhu, Yi Liu, Zheren Fu et al.
3958. **[LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language ↗](https://doi.org/10.52202/085713-3318)**Periklis Mantenoglou, Rishi Hazra, Pedro Zuidberg Dos Martires et al.
3959. **[Lie Detector: Unified Backdoor Detection via Cross-Examination Framework ↗](https://doi.org/10.52202/085713-5024)**Xuan Wang, Siyuan Liang, Dongping Liao et al.
3960. **[Lifelong Safety Alignment for Language Models ↗](https://doi.org/10.52202/085713-0670)**Haoyu Wang, Yifei Zhao, Zeyu Qin et al.
3961. **[Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators ↗](https://doi.org/10.52202/085713-3057)**Albert Matveev, Sanmitra Ghosh, Aamal Hussain et al.
3962. **[LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders ↗](https://doi.org/10.52202/085713-0765)**Boyu Han, Qianqian Xu, Shilong Bao et al.
3963. **[Limitations of Normalization in Attention ↗](https://doi.org/10.52202/085713-3285)**Timur Mudarisov, Mikhail Burtsev, Tatiana Petrova et al.
3964. **[Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis ↗](https://doi.org/10.52202/085713-5523)**Leitian Tao, Xuefeng Du, Yixuan Li
3965. **[Linear Attention for Efficient Bidirectional Sequence Modeling ↗](https://doi.org/10.52202/085713-2643)**Arshia Afzal, Elias Abad Rocamora, Leyla Naz Candogan et al.
3966. **[Linear Mixture Distributionally Robust Markov Decision Processes ↗](https://doi.org/10.52202/085713-4618)**Zhishuai Liu, Pan Xu
3967. **[Linear Transformers Implicitly Discover Unified Numerical Algorithms ↗](https://doi.org/10.52202/085713-1145)**Patrick Lutz, Aditya Gangrade, Hadi Daneshmand et al.
3968. **[Linearization Explains Fine-Tuning in Large Language Models ↗](https://doi.org/10.52202/085713-4388)**Zahra Rahimi Afzal, Tara Esmaeilbeig, Mojtaba Soltanalian et al.
3969. **[Linearly Constrained Diffusion Implicit Models ↗](https://doi.org/10.52202/085713-4944)**Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steven M. Seitz et al.
3970. **[Linguini: A benchmark for language-agnostic linguistic reasoning ↗](https://doi.org/10.52202/085713-5486)**Eduardo Sánchez, Belen Alastruey, Christophe Ropers et al.
3971. **[List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression ↗](https://doi.org/10.52202/085713-0197)**Joseph Rowan, Buu Phan, Ashish J. Khisti
3972. **[Listening to the Brain: Multi-Band sEEG Auditory Reconstruction via Dynamic Spatio-Temporal Hypergraphs ↗](https://doi.org/10.52202/085713-4302)**Xueyi Zhang, Ruicong Wang, Jialu Sun et al.
3973. **[LittleBit: Ultra Low-Bit Quantization via Latent Factorization ↗](https://doi.org/10.52202/085713-3879)**Banseok Lee, Dong‐Kyu Kim, Youngcheon You et al.
3974. **[LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting ↗](https://doi.org/10.52202/085713-1521)**Yi Xiao, Hang Fan, Kun Chen et al.
3975. **[LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers ↗](https://doi.org/10.52202/085713-5596)**Yusuf Dalva, Hidir Yesiltepe, Pinar Yanardag
3976. **[LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades ↗](https://doi.org/10.52202/085713-5664)**Yanan Li, Fanxu Meng, Muhan Zhang et al.
3977. **[LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers ↗](https://doi.org/10.52202/085713-3997)**Liting Lin, Heng Fan, Zhipeng Zhang et al.
3978. **[LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation ↗](https://doi.org/10.52202/085713-0645)**Gaojian Xiong, Yu Sun, Jianhua Liu et al.
3979. **[LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks ↗](https://doi.org/10.52202/085713-3619)**Di Jin, Yuxiang Zhang, Bingdao Feng et al.
3980. **[LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning ↗](https://doi.org/10.52202/085713-3574)**Junyu Chen, Junzhuo Li, Zhen Peng et al.
3981. **[LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space ↗](https://doi.org/10.52202/085713-0022)**Zhangyu Wang, Zeping Liu, Jielu Zhang et al.
3982. **[Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent ↗](https://doi.org/10.52202/085713-0373)**Peter Richtárik, Simone Maria Giancola, Dymitr Lubczyk et al.
3983. **[Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables ↗](https://doi.org/10.52202/085713-4146)**Zheng Li, Xichen Guo, Feng Kun Xie et al.
3984. **[Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling ↗](https://doi.org/10.52202/085713-1304)**haowei hua, Wanyu Lin
3985. **[Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives ↗](https://doi.org/10.52202/085713-1760)**Geng Zhang, Jiangrong Shen, Kaizhong Zheng et al.
3986. **[Localist Topographic Expert Routing: A Barrel Cortex-Inspired Modular Network for Sensorimotor Processing ↗](https://doi.org/10.52202/085713-0390)**Tianfang Zhu, Dongli Hu, Jiandong Zhou et al.
3987. **[Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms ↗](https://doi.org/10.52202/085713-1276)**Guangyi Zhang, Yanhao Wang, Chengliang Chai et al.
3988. **[Localizing Knowledge in Diffusion Transformers ↗](https://doi.org/10.52202/085713-0492)**Arman Zarei, Samyadeep Basu, Keivan Rezaei et al.
3989. **[Locally Optimal Private Sampling: Beyond the Global Minimax ↗](https://doi.org/10.52202/085713-5285)**Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh
3990. **[Logic.py: Bridging the Gap between LLMs and Constraint Solvers ↗](https://doi.org/10.52202/085713-2093)**Pascal Kesseli, Peter W. O’Hearn, Ricardo Cabral
3991. **[LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data ↗](https://doi.org/10.52202/085713-3802)**Zehao Wang, Lin Yang, Jie Wang et al.
3992. **[Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization ↗](https://doi.org/10.52202/085713-3226)**Arie Soeteman, Balder ten Cate
3993. **[Long-Tailed Recognition via Information-Preservable Two-Stage Learning ↗](https://doi.org/10.52202/085713-1567)**Fudong Lin, Yuan Xu
3994. **[Long-tailed Recognition with Model Rebalancing ↗](https://doi.org/10.52202/085713-4508)**Jiaan Luo, Feng Hong, Qiang Hu et al.
3995. **[Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning ↗](https://doi.org/10.52202/085713-4642)**Hisham Temmar, Yixuan Wang, Nina Gill et al.
3996. **[LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions ↗](https://doi.org/10.52202/085713-0434)**Chaochen Gao, Xing W, Zijia Lin et al.
3997. **[LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization ↗](https://doi.org/10.52202/085713-5266)**Zhenpeng Huang, Jiaqi Li, zihan jia et al.
3998. **[Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning ↗](https://doi.org/10.52202/085713-2691)**Wang Yang, Zirui Liu, Hongye Jin et al.
3999. **[LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges? ↗](https://doi.org/10.52202/085713-0429)**Ziyuan He, Yuxuan Wang, Jiaqi Li et al.
4000. **[Look-Ahead Reasoning on Learning Platforms ↗](https://doi.org/10.52202/085713-2757)**Haiqing Zhu, Tijana Zrnic, Celestine Dünner

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