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# NeurIPS 2025: all accepted papers

5,819 papers · page 47 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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4601. **[Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme ↗](https://doi.org/10.52202/085713-2240)**Rudy Morel, Francesco P. Ramunno, Jeff Shen et al.
4602. **[Predicting the Performance of Black-box Language Models with Follow-up Queries ↗](https://doi.org/10.52202/085713-5305)**Dylan Sam, Marc Finzi, J. Zico Kolter
4603. **[Prediction with expert advice under additive noise ↗](https://doi.org/10.52202/085713-2875)**Alankrita Bhatt, Victoria Kostina
4604. **[Prediction-Powered Causal Inferences ↗](https://doi.org/10.52202/085713-2479)**Riccardo Cadei, İlker Demirel, Piersilvio De Bartolomeis et al.
4605. **[Prediction-Powered Semi-Supervised Learning with Online Power Tuning ↗](https://doi.org/10.52202/085713-3632)**Noa Shoham, Ron Dorfman, Shalev Shaer et al.
4606. **[Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability ↗](https://doi.org/10.52202/085713-0945)**Po-Chen Kuo, Han Hou, Will Dabney et al.
4607. **[Predictive Preference Learning from Human Interventions ↗](https://doi.org/10.52202/085713-1845)**Hengyi Cai, Zhenghao Peng, Bolei Zhou
4608. **[Preference Distillation via Value based Reinforcement Learning ↗](https://doi.org/10.52202/085713-3549)**Minchan Kwon, Junwon Ko, Kangil Kim et al.
4609. **[Preference Learning with Response Time: Robust Losses and Guarantees ↗](https://doi.org/10.52202/085713-3477)**Ayush Sawarni, Sahasrajit Sarmasarkar, Vasilis Syrgkanis
4610. **[Preference Optimization by Estimating the Ratio of the Data Distribution ↗](https://doi.org/10.52202/085713-1987)**Yeongmin Kim, Heejin Bae, Byeonghu Na et al.
4611. **[Preference Optimization on Pareto Sets: On a Theory of Multi-Objective Optimization ↗](https://doi.org/10.52202/085713-5794)**Abhishek Roy, Geelon So, Yian Ma
4612. **[Preference-Based Dynamic Ranking Structure Recognition ↗](https://doi.org/10.52202/085713-0638)**Nan Lu, Jian Shi, Xinyu Tian
4613. **[Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options ↗](https://doi.org/10.52202/085713-5055)**Joongkyu Lee, Seouh-won Yi, Min-hwan Oh
4614. **[Preference-driven Knowledge Distillation for Few-shot Node Classification ↗](https://doi.org/10.52202/085713-3452)**Xing Wei, Chunchun Chen, Rui Fan et al.
4615. **[Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization ↗](https://doi.org/10.52202/085713-1961)**Bowei He, Lihao Yin, Hui-Ling Zhen et al.
4616. **[Preserving Task-Relevant Information Under Linear Concept Removal ↗](https://doi.org/10.52202/085713-0907)**Floris Holstege, Shauli Ravfogel, B. Wouters
4617. **[Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning ↗](https://doi.org/10.52202/085713-4350)**Jong-Chan Park, Mingyu Park, Donghwan Lee
4618. **[Preventing Shortcuts in Adapter Training via Providing the Shortcuts ↗](https://doi.org/10.52202/085713-3402)**Anujraaj Goyal, Guocheng Qian, Huseyin Coskun et al.
4619. **[Price of Parsimony: Complexity of Fourier Sparsity Testing ↗](https://doi.org/10.52202/085713-5509)**Arijit Ghosh, Manmatha Roy
4620. **[Principled Data Augmentation for Learning to Solve Quadratic Programming Problems ↗](https://doi.org/10.52202/085713-4429)**Chendi Qian, Christopher Morris
4621. **[Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward ↗](https://doi.org/10.52202/085713-5625)**Dipendra Kumar Misra, Aldo Pacchiano, Ta-Chung Chi et al.
4622. **[Principled Long-Tailed Generative Modeling via Diffusion Models ↗](https://doi.org/10.52202/085713-3691)**Pranoy Das, Kexin Fu, Abolfazl Hashemi et al.
4623. **[Principled Model Routing for Unknown Mixtures of Source Domains ↗](https://doi.org/10.52202/085713-1356)**Christoph Dann, Yishay Mansour, Teodor V. Marinov et al.
4624. **[Prior Forgetting and In-Context Overfitting ↗](https://doi.org/10.52202/085713-1523)**Sungyoon Lee
4625. **[Prior-Guided Diffusion Planning for Offline Reinforcement Learning ↗](https://doi.org/10.52202/085713-2000)**Donghyeon Ki, JunHyeok Oh, Seongwoong Shim et al.
4626. **[Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving ↗](https://doi.org/10.52202/085713-1666)**Yi Huang, Zhan Qu, Lihui Jiang et al.
4627. **[Privacy Reasoning in Ambiguous Contexts ↗](https://doi.org/10.52202/085713-5607)**Ren Yi, Octavian Suciu, Adrià Gascón et al.
4628. **[Privacy amplification by random allocation ↗](https://doi.org/10.52202/085713-3215)**Moshe Shenfeld, Vitaly Feldman
4629. **[Private Continual Counting of Unbounded Streams ↗](https://doi.org/10.52202/085713-1068)**Ben Jacobsen, Kassem Fawaz
4630. **[Private Evolution Converges ↗](https://doi.org/10.52202/085713-4961)**Tomás González Lara, Giulia Fanti, Aaditya Ramdas
4631. **[Private Geometric Median in Nearly-Linear Time ↗](https://doi.org/10.52202/085713-2859)**Syamantak Kumar, Daogao Liu, Kevin Tian et al.
4632. **[Private Hyperparameter Tuning with Ex-Post Guarantee ↗](https://doi.org/10.52202/085713-4349)**Badih Ghazi, Pritish Kamath, Alexander Knop et al.
4633. **[Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings ↗](https://doi.org/10.52202/085713-5514)**Bo Li, Wei Wang, Peng Ye
4634. **[Private Set Union with Multiple Contributions ↗](https://doi.org/10.52202/085713-3008)**Travis Dick, Haim Kaplan, Alex Kulesza et al.
4635. **[Private Statistical Estimation via Truncation ↗](https://doi.org/10.52202/085713-3011)**Manolis Zampetakis, Felix Zhou
4636. **[Private Zeroth-Order Optimization with Public Data ↗](https://doi.org/10.52202/085713-1963)**Xuchen Gong, Tian Li
4637. **[ProDAG: Projected Variational Inference for Directed Acyclic Graphs ↗](https://doi.org/10.52202/085713-5432)**Ryan Thompson, Edwin V. Bonilla, Robert Kohn
4638. **[ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods ↗](https://doi.org/10.52202/085713-4364)**Michał Kmicikiewicz, Vincent Fortuin, Ewa Szczurek
4639. **[Probabilistic Reasoning with LLMs for Privacy Risk Estimation ↗](https://doi.org/10.52202/085713-3662)**Jonathan Zheng, Alan Ritter, Sauvik Das et al.
4640. **[Probabilistic Stability Guarantees for Feature Attributions ↗](https://doi.org/10.52202/085713-2413)**Helen Jin, Anton Xue, Weiqiu You et al.
4641. **[Probabilistic Token Alignment for Large Language Model Fusion ↗](https://doi.org/10.52202/085713-3525)**Runjia Zeng, Jia Liang, Cheng Hao Han et al.
4642. **[Probably Approximately Precision and Recall Learning ↗](https://doi.org/10.52202/085713-2891)**Lee Cohen, Yishay Mansour, Shay Moran et al.
4643. **[Probing Equivariance and Symmetry Breaking in Convolutional Networks ↗](https://doi.org/10.52202/085713-4050)**Sharvaree Vadgama, Mohammad Islam, Domas Buracas et al.
4644. **[Probing Hidden Knowledge Holes in Unlearned LLMs ↗](https://doi.org/10.52202/085713-0776)**Myeongseob Ko, Hoang Anh Just, Charles Fleming et al.
4645. **[Probing Neural Combinatorial Optimization Models ↗](https://doi.org/10.52202/085713-4389)**Zhiqin Zhang, Yining Ma, Zhiguang Cao et al.
4646. **[Problem-Parameter-Free Decentralized Bilevel Optimization ↗](https://doi.org/10.52202/085713-4853)**Zhiwei Zhai, Wenjing Yan, Ying–Jun Angela Zhang
4647. **[Procurement Auctions with Predictions: Improved Frugality for Facility Location ↗](https://doi.org/10.52202/085713-4695)**Eric Balkanski, Nicholas Defilippis, Vasilis Gkatzelis et al.
4648. **[Product Distribution Learning with Imperfect Advice ↗](https://doi.org/10.52202/085713-5265)**Arnab Bhattacharyya, Davin Choo, Philips George John et al.
4649. **[ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks ↗](https://doi.org/10.52202/085713-3944)**Huiri TAN, Juyong Jiang, Jiasi Shen
4650. **[Program Synthesis via Test-Time Transduction ↗](https://doi.org/10.52202/085713-1251)**Kang-Il Lee, Jahyun Koo, Seunghyun Yoon et al.
4651. **[Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster ↗](https://doi.org/10.52202/085713-5411)**Shriram M S, Xinyue Hao, Shihao Hou et al.
4652. **[Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion ↗](https://doi.org/10.52202/085713-2814)**Lei Cao, Hao Zhang, Chunyu Li et al.
4653. **[Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs ↗](https://doi.org/10.52202/085713-3045)**Xiangcheng Zhang, Yige Hong, Weina Wang
4654. **[Projective Equivariant Networks via Second-order Fundamental Differential Invariants ↗](https://doi.org/10.52202/085713-2616)**Yikang Li, Yeqing Qiu, Yuxuan Chen et al.
4655. **[Prompt Tuning Decision Transformers with Structured and Scalable Bandits ↗](https://doi.org/10.52202/085713-1953)**Finn Rietz, Oleg Smirnov, Sara Karimi et al.
4656. **[Prompt Tuning Transformers for Data Memorization ↗](https://doi.org/10.52202/085713-0811)**Haiyu Wang, Yuanyuan Lin
4657. **[Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer ↗](https://doi.org/10.52202/085713-0120)**Xuelin Shen, Quan Liu, Jiayin Xu et al.
4658. **[Prompt-guided Disentangled Representation for Action Recognition ↗](https://doi.org/10.52202/085713-2713)**Tianci Wu, Guangming Zhu, Lu jiang et al.
4659. **[Promptable 3-D Object Localization with Latent Diffusion Models ↗](https://doi.org/10.52202/085713-5627)**Cheng-Yao Hong, Li-Heng Wang, Tyng-Luh Liu
4660. **[Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs ↗](https://doi.org/10.52202/085713-0796)**Yifan Zhou, Sachin Grover, Mohamed El Mistiri et al.
4661. **[Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling ↗](https://doi.org/10.52202/085713-5621)**Wanpeng Zhang, Yuhao Fang, Xihang Qiu et al.
4662. **[Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment ↗](https://doi.org/10.52202/085713-0883)**Xiao Fei, Michail Chatzianastasis, Sarah Almeida Carneiro et al.
4663. **[ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search ↗](https://doi.org/10.52202/085713-0955)**Mengdi Liu, Xiaoxue Cheng, Zhangyang Gao et al.
4664. **[Protein Design with Dynamic Protein Vocabulary ↗](https://doi.org/10.52202/085713-0672)**Nuowei Liu, Jiahao Kuang, Liu Yanting et al.
4665. **[Protein Inverse Folding From Structure Feedback ↗](https://doi.org/10.52202/085713-0820)**Junde Xu, Zijun Gao, Xinyi Zhou et al.
4666. **[ProteinConformers: Benchmark Dataset for Simulating Protein Conformational Landscape Diversity and Plausibility ↗](https://doi.org/10.52202/085713-2746)**Yihang Zhou, Chen Wei, Minghao Sun et al.
4667. **[ProtoPairNet: Interpretable Regression through Prototypical Pair Reasoning ↗](https://doi.org/10.52202/085713-3680)**Rose Gurung, Ronilo Ragodos, Chiyu Ma et al.
4668. **[Protocols for Verifying Smooth Strategies in Bandits and Games ↗](https://doi.org/10.52202/085713-3077)**Miranda Christ, Daniel Reichman, Jonathan Shafer
4669. **[Provable Gradient Editing of Deep Neural Networks ↗](https://doi.org/10.52202/085713-3672)**Zhe Tao, Aditya Thakur
4670. **[Provable Meta-Learning with Low-Rank Adaptations ↗](https://doi.org/10.52202/085713-1275)**Jacob Block, Sundararajan Srinivasan, L. Collins et al.
4671. **[Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents ↗](https://doi.org/10.52202/085713-2428)**Zhizhen Zhang, Lei Zhu, Zhen Fang et al.
4672. **[Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations ↗](https://doi.org/10.52202/085713-3495)**Jiabin Lin, Shana Moothedath
4673. **[Provably Efficient Online RLHF with One-Pass Reward Modeling ↗](https://doi.org/10.52202/085713-5567)**Long-Fei Li, Yu-Yang Qian, Peng Zhao et al.
4674. **[Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation ↗](https://doi.org/10.52202/085713-1571)**Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno et al.
4675. **[Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO ↗](https://doi.org/10.52202/085713-3161)**Kaiyang Guo, Y. K. Li, Zhitang Chen
4676. **[Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization ↗](https://doi.org/10.52202/085713-1208)**Tianjun Yao, Haoxuan Li, Yongqiang Chen et al.
4677. **[Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths ↗](https://doi.org/10.52202/085713-3806)**Jindi Lv, Yuhao Zhou, Mingjia Shi et al.
4678. **[Pseudo-Riemannian Graph Transformer ↗](https://doi.org/10.52202/085713-0539)**Viet Quan Le, Ta Viet Cuong
4679. **[PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture ↗](https://doi.org/10.52202/085713-3604)**Yi Liu, Yang Liu, Leqian Zheng et al.
4680. **[Purest Quantum State Identification ↗](https://doi.org/10.52202/085713-5272)**Youbin Yu, Honglin Chen, Wu Jun et al.
4681. **[Purifying Approximate Differential Privacy with Randomized Post-processing ↗](https://doi.org/10.52202/085713-4830)**Yingyu Lin, Erchi Wang, Yi-An Ma et al.
4682. **[Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability ↗](https://doi.org/10.52202/085713-2166)**Wenzhao Liu, Haoran Li, Congying Han et al.
4683. **[Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning ↗](https://doi.org/10.52202/085713-2906)**Amir Rezaei Balef, Claire Vernade, Katharina Eggensperger
4684. **[Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction ↗](https://doi.org/10.52202/085713-3584)**Jiahao Ma, Lei Wang, Miaomiao Liu et al.
4685. **[Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment ↗](https://doi.org/10.52202/085713-0387)**DEOKJAE LEE, Hyun Oh Song
4686. **[Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training ↗](https://doi.org/10.52202/085713-4455)**Ipsita Ghosh, Ethan H K Nguyen, Christian Kümmerle
4687. **[Q: Provably Optimal Distributional RL for LLM Post-Training ↗](https://doi.org/10.52202/085713-1103)**Jin Peng Zhou, Kaiwen Wang, Jonathan Chang et al.
4688. **[QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution ↗](https://doi.org/10.52202/085713-4449)**Zhenwei Zhang, Fanhua Shang, Hongying Liu et al.
4689. **[QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design ↗](https://doi.org/10.52202/085713-1454)**Rui Yang, Ziruo Wang, Yuntian Gu et al.
4690. **[QFFT, Question-Free Fine-Tuning for Adaptive Reasoning ↗](https://doi.org/10.52202/085713-0939)**Wanlong Liu, Junxiao Xu, Fei Yu et al.
4691. **[QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation ↗](https://doi.org/10.52202/085713-1055)**양진철, Jaemin Choi, Matti Zinke et al.
4692. **[QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models ↗](https://doi.org/10.52202/085713-0067)**Yutong Wang, Haiyu Wang, Sai Qian Zhang
4693. **[QUT-DV25: A Dataset for Dynamic Analysis of Next-Gen Software Supply Chain Attacks ↗](https://doi.org/10.52202/085713-4755)**Sk. Tanzir Mehedi, Raja Jurdak, Chadni Islam et al.
4694. **[QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation ↗](https://doi.org/10.52202/085713-4806)**Changxin Ke, Rui Zhang, Shuo Wang et al.
4695. **[QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code ↗](https://doi.org/10.52202/085713-5643)**Hainan Fang, Yuanbo Wen, Jun Bi et al.
4696. **[QuARI: Query Adaptive Retrieval Improvement ↗](https://doi.org/10.52202/085713-2108)**Eric P. Xing, Abby Stylianou, Robert B. Pless et al.
4697. **[QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks ↗](https://doi.org/10.52202/085713-1524)**Qian Chen, Linxin Yang, Akang Wang et al.
4698. **[Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning ↗](https://doi.org/10.52202/085713-0073)**Ziliang Chen, Yongsen Zheng, Zhao‐Rong Lai et al.
4699. **[QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification ↗](https://doi.org/10.52202/085713-5339)**Qian Tang, Yuwen Gu, Boxiang Wang
4700. **[Quantifying Cross-Modality Memorization in Vision-Language Models ↗](https://doi.org/10.52202/085713-4292)**Yuxin Wen, Yangsibo Huang, Tom Goldstein et al.

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