---
title: "NeurIPS 2025 — all accepted papers, page 51 — Elamur Research"
description: "All 5,819 papers of NeurIPS 2025 · page 51 of 59, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/51/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/51/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) / [2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) / [papers](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) / page 51

# NeurIPS 2025: all accepted papers

5,819 papers · page 51 of 59 · the most cited first · [← NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/50/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) … [50](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/50/) **51** [52](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/52/) … [59](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/59/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/52/)

5001. **[SafeVid: Toward Safety Aligned Video Large Multimodal Models ↗](https://doi.org/10.52202/085713-4451)**Yixu Wang, Jiaxin Song, Yifeng Gao et al.
5002. **[Safely Learning Controlled Stochastic Dynamics ↗](https://doi.org/10.52202/085713-3939)**Luc Brogat-Motte, Alessandro Rudi, Riccardo Bonalli
5003. **[Safety Depth in Large Language Models: A Markov Chain Perspective ↗](https://doi.org/10.52202/085713-3909)**Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu et al.
5004. **[Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning ↗](https://doi.org/10.52202/085713-2862)**Zijun Chen, Shengbo Wang, Nian Si
5005. **[Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures ↗](https://doi.org/10.52202/085713-0222)**Nina Vesseron, Louis Béthune, Marco Cuturi
5006. **[Sample-Adaptivity Tradeoff in On-Demand Sampling ↗](https://doi.org/10.52202/085713-5535)**Nika Haghtalab, Omar Montasser, Mingda Qiao
5007. **[Sample-Conditional Coverage in Split-Conformal Prediction ↗](https://doi.org/10.52202/085713-2903)**John C. Duchi
5008. **[Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation ↗](https://doi.org/10.52202/085713-2454)**Byunghyun Kim, Minyoung Bae, Jae-Gil Lee
5009. **[Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning ↗](https://doi.org/10.52202/085713-5201)**Na Li, Zewu Zheng, Wei Ni et al.
5010. **[Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions ↗](https://doi.org/10.52202/085713-3734)**Hidde Fokkema, Tim van Erven, Sara Magliacane
5011. **[Sampled Estimators For Softmax Must Be Biased ↗](https://doi.org/10.52202/085713-1557)**Li-Chung Lin, Yaxu Liu, Chih-Jen Lin
5012. **[Sampling by averaging: A multiscale approach to score estimation ↗](https://doi.org/10.52202/085713-2711)**Paula Cordero-Encinar, A. Duncan, Sebastian Reich et al.
5013. **[Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion ↗](https://doi.org/10.52202/085713-0505)**Adrien Vacher, Omar Chehab, Anna Korba
5014. **[Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding ↗](https://doi.org/10.52202/085713-5415)**Yiming Wang, Pei Zhang, Siyuan Huang et al.
5015. **[Scaffolding Dexterous Manipulation with Vision-Language Models ↗](https://doi.org/10.52202/085713-3121)**Vincent de Bakker, Joey Hejna, Tyler Ga Wei Lum et al.
5016. **[Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity ↗](https://doi.org/10.52202/085713-2349)**Jun Wang, Zhenglai Li, Chang Tang et al.
5017. **[Scalable Evaluation and Neural Models for Compositional Generalization ↗](https://doi.org/10.52202/085713-0252)**Giacomo Camposampiero, Pietro Barbiero, Michael Hersche et al.
5018. **[Scalable Exploration via Ensemble++ ↗](https://doi.org/10.52202/085713-1843)**Yingru Li, Jiawei Xu, Baoxiang Wang et al.
5019. **[Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning ↗](https://doi.org/10.52202/085713-5655)**Félix Lefebvre, Gael P. Varoquaux
5020. **[Scalable In-context Ranking with Generative Models ↗](https://doi.org/10.52202/085713-1228)**Nilesh Gupta, Chong You, Srinadh Bhojanapalli et al.
5021. **[Scalable Neural Incentive Design with Parameterized Mean-Field Approximation ↗](https://doi.org/10.52202/085713-4793)**Nathan Corecco, Batuhan Yardim, Vinzenz Thoma et al.
5022. **[Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation ↗](https://doi.org/10.52202/085713-0458)**Yanghao Zhang, Panagiotis Kouvaros, Alessio R. Lomuscio
5023. **[Scalable Policy-Based RL Algorithms for POMDPs ↗](https://doi.org/10.52202/085713-3228)**Ameya Anjarlekar, S. Rasoul Etesami, R. Srikant
5024. **[Scalable Signature Kernel Computations via Local Neumann Series Expansions ↗](https://doi.org/10.52202/085713-1595)**Matthew Tamayo-Rios, Alexander Schell, Rima Alaifari
5025. **[Scalable Valuation of Human Feedback through Provably Robust Model Alignment ↗](https://doi.org/10.52202/085713-4474)**Masahiro Fujisawa, Masaki Adachi, Michael A Osborne
5026. **[Scalable and Cost-Efficient de Novo Template-Based Molecular Generation ↗](https://doi.org/10.52202/085713-1202)**Piotr Gaiński, Oussama Boussif, Andrei Rekesh et al.
5027. **[Scalable and adaptive prediction bands with kernel sum-of-squares ↗](https://doi.org/10.52202/085713-4417)**Louis Allain, Sébastien da Veiga, Brian Staber
5028. **[Scale-invariant attention ↗](https://doi.org/10.52202/085713-0500)**Ben Anson, Xi Wang, Laurence Aitchison
5029. **[Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning ↗](https://doi.org/10.52202/085713-1182)**Honglin Lin, Qizhi Pei, Zhuoshi Pan et al.
5030. **[Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks ↗](https://doi.org/10.52202/085713-1700)**Navid Hashemi, Samuel Sasaki, İpek Oğuz et al.
5031. **[Scaling Diffusion Transformers Efficiently via μP ↗](https://doi.org/10.52202/085713-0652)**Chenyu Zheng, Xinyu Zhang, Rongzhen Wang et al.
5032. **[Scaling Embedding Layers in Language Models ↗](https://doi.org/10.52202/085713-1074)**Dahua Yu, Edith Cohen, Badih Ghazi et al.
5033. **[Scaling Epidemic Inference on Contact Networks: Theory and Algorithms ↗](https://doi.org/10.52202/085713-0461)**Guanghui Min, Yinhan He, Chen Chen
5034. **[Scaling Language-centric Omnimodal Representation Learning ↗](https://doi.org/10.52202/085713-5291)**Chenghao Xiao, Hou Pong Chan, Hao Zhang et al.
5035. **[Scaling Law with Learning Rate Annealing ↗](https://doi.org/10.52202/085713-3044)**Howe Tissue, Venus Wang, Lu Wang
5036. **[Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf’s Law ↗](https://doi.org/10.52202/085713-4835)**Frederik Künstner, Francis Bach
5037. **[Scaling Laws for Optimal Data Mixtures ↗](https://doi.org/10.52202/085713-4314)**Mustafa Shukor, Louis Béthune, Dan Busbridge et al.
5038. **[Scaling Offline RL via Efficient and Expressive Shortcut Models ↗](https://doi.org/10.52202/085713-0085)**Nicolas Espinosa Dice, Y. Zhang, Yiding Chen et al.
5039. **[Scaling Physical Reasoning with the PHYSICS Dataset ↗](https://doi.org/10.52202/085713-5370)**Shenghe Zheng, Qianjia Cheng, Junchi Yao et al.
5040. **[Scaling Up Active Testing to Large Language Models ↗](https://doi.org/10.52202/085713-5777)**Gabrielle Berrada, Jannik Kossen, Freddie Bickford Smith et al.
5041. **[Scaling and context steer LLMs along the same computational path as the human brain ↗](https://doi.org/10.52202/085713-1787)**Joséphine Raugel, Jérémy Rapin, Stéphane d’Ascoli et al.
5042. **[Scaling can lead to compositional generalization ↗](https://doi.org/10.52202/085713-1858)**Florian Redhardt, Yassir Akram, Simon Schug
5043. **[SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions ↗](https://doi.org/10.52202/085713-2839)**Cristian Sbrolli, Matteo Matteucci
5044. **[Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging ↗](https://doi.org/10.52202/085713-5204)**Hongjin Qian, Zheng Liu
5045. **[Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres ↗](https://doi.org/10.52202/085713-4334)**Samuel Howard, Peter Potaptchik, George Deligiannidis
5046. **[SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks ↗](https://doi.org/10.52202/085713-3532)**Yilun Zhao, Kaiyan Zhang, Tiansheng Hu et al.
5047. **[Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures ↗](https://doi.org/10.52202/085713-3753)**Gongyu Chen, Ying Cui
5048. **[Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery ↗](https://doi.org/10.52202/085713-3772)**Jiyeon Kang, Songseong Kim, Chanhui Lee et al.
5049. **[Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation ↗](https://doi.org/10.52202/085713-0794)**Nanxu Gong, Zijun Li, Sixun Dong et al.
5050. **[SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG ↗](https://doi.org/10.52202/085713-2376)**Xiaonan Si, Meilin Zhu, Simeng Qin et al.
5051. **[SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data ↗](https://doi.org/10.52202/085713-3464)**Wenkai Fang, Shunyu Liu, Yang Zhou et al.
5052. **[Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection ↗](https://doi.org/10.52202/085713-4995)**Yuxi Liu, Min Liu, Shuai Jiang et al.
5053. **[SeasonBench-EA: A Multi-Source Benchmark for Seasonal Prediction and Numerical Model Post-Processing in East Asia ↗](https://doi.org/10.52202/085713-4977)**Mengxuan Chen, Li Li, Zou Ziheng et al.
5054. **[Second-Order Convergence in Private Stochastic Non-Convex Optimization ↗](https://doi.org/10.52202/085713-3905)**Youming Tao, Zuyuan Zhang, Dongxiao Yu et al.
5055. **[Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits ↗](https://doi.org/10.52202/085713-4378)**Abdurakhmon Sadiev, Peter Richtárik, Ilyas Fatkhullin
5056. **[Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins ↗](https://doi.org/10.52202/085713-4575)**Zaixi Zhang, Ruofan Jin, Le Cong et al.
5057. **[Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition ↗](https://doi.org/10.52202/085713-2676)**Andy Zou, Maxwell Lin, Eliot Krzysztof Jones et al.
5058. **[See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model ↗](https://doi.org/10.52202/085713-2076)**Pengteng Li, Pinhao Song, Wuyang Li et al.
5059. **[Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models ↗](https://doi.org/10.52202/085713-3899)**Qingsong Wang, Zhengchao Wan, Misha Belkin et al.
5060. **[Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization ↗](https://doi.org/10.52202/085713-4964)**Yanhao Jia, Ji Xie, S Jivaganesh et al.
5061. **[Seeing the Wind from a Falling Leaf ↗](https://doi.org/10.52202/085713-1611)**Zhiyuan Gao, Jiageng Mao, Hong-Xing Yu et al.
5062. **[Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies ↗](https://doi.org/10.52202/085713-1937)**Haiyang Li, Liao Yu, Qiang Yu et al.
5063. **[SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling ↗](https://doi.org/10.52202/085713-1869)**Yizhao Gao, Zhichen Zeng, Dayou Du et al.
5064. **[Seg-VAR:Image Segmentation with Visual Autoregressive Modeling ↗](https://doi.org/10.52202/085713-5529)**Rongkun Zheng, Qi Lü, Xi Chen et al.
5065. **[Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control ↗](https://doi.org/10.52202/085713-0031)**Danfeng Li, Hui Zhang, Sheng Wang et al.
5066. **[SegMASt3R: Geometry Grounded Segment Matching ↗](https://doi.org/10.52202/085713-1516)**Rohit Jayanti, Swayam Agrawal, Vansh Garg et al.
5067. **[Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective ↗](https://doi.org/10.52202/085713-5663)**Haifeng Zhao, Haiyang Li, Lei-Lei Ma et al.
5068. **[Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting ↗](https://doi.org/10.52202/085713-5531)**Yiren Lu, Yunlai Zhou, Yiran Qiao et al.
5069. **[Selective Learning for Deep Time Series Forecasting ↗](https://doi.org/10.52202/085713-3277)**Yisong Fu, Zezhi Shao, Chengqing Yu et al.
5070. **[Self Iterative Label Refinement via Robust Unlabeled Learning ↗](https://doi.org/10.52202/085713-1058)**Hikaru Asano, Tadashi Kozuno, Yukino Baba
5071. **[Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential ↗](https://doi.org/10.52202/085713-4142)**Tianxi He, Malhar Patel, Chenyi Li et al.
5072. **[Self-Assembling Graph Perceptrons ↗](https://doi.org/10.52202/085713-4411)**Jialong Chen, Tong Wang, Bowen Deng et al.
5073. **[Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing ↗](https://doi.org/10.52202/085713-2219)**Adel Javanmard, Rudrajit Das, Alessandro Epasto et al.
5074. **[Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels ↗](https://doi.org/10.52202/085713-3550)**Jonathan Grizou, Carlos de la Torre‐Ortiz, Tuukka Ruotsalo
5075. **[Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs ↗](https://doi.org/10.52202/085713-0194)**Jun Wang, Liang Ding, Shuai Wang et al.
5076. **[Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks ↗](https://doi.org/10.52202/085713-2158)**Vishnu Sarukkai, Zhiqiang Xie, Kayvon Fatahalian
5077. **[Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents ↗](https://doi.org/10.52202/085713-0944)**Qianlan Yang, XJ Wang, Danielle Perszyk et al.
5078. **[Self-Improving Embodied Foundation Models ↗](https://doi.org/10.52202/085713-3762)**Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson et al.
5079. **[Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection ↗](https://doi.org/10.52202/085713-2841)**Jinyu Cai, Yuan Xie, Glynnis Lim et al.
5080. **[Self-Refining Language Model Anonymizers via Adversarial Distillation ↗](https://doi.org/10.52202/085713-5520)**Kyuyoung Kim, Hyunjun Jeon, Jinwoo Shin
5081. **[Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning ↗](https://doi.org/10.52202/085713-1392)**Achleshwar Luthra, Tianbao Yang, Tomer Galanti
5082. **[Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks ↗](https://doi.org/10.52202/085713-4848)**Kijung Yoon
5083. **[Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals ↗](https://doi.org/10.52202/085713-0921)**Stefan Stojanov, David Wendt, Seungwoo Kim et al.
5084. **[Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation ↗](https://doi.org/10.52202/085713-3576)**Zixi Wang, Yushe Cao, Yubo Huang et al.
5085. **[Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training ↗](https://doi.org/10.52202/085713-1213)**Shi Fu, Yingjie Wang, Yuzhu Chen et al.
5086. **[Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization ↗](https://doi.org/10.52202/085713-1420)**Pritam Sarkar, Ali Etemad
5087. **[Self-diffusion for Solving Inverse Problems ↗](https://doi.org/10.52202/085713-2609)**Guanxiong Luo, Shoujin Huang
5088. **[Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction ↗](https://doi.org/10.52202/085713-4435)**Tengfei Ma, Kun Chen, Yongsheng Zang et al.
5089. **[Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens ↗](https://doi.org/10.52202/085713-3930)**Bohan Wang, Mingze Zhou, Zhongqi Yue et al.
5090. **[Semantic Representation Attack against Aligned Large Language Models ↗](https://doi.org/10.52202/085713-2437)**Jiawei Lian, Pan Jianhong, Lefan Wang et al.
5091. **[Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity ↗](https://doi.org/10.52202/085713-0906)**Qiyao Wei, Edward Morrell, Lea Goetz et al.
5092. **[Semantic-guided Diverse Decoding for Large Language Model ↗](https://doi.org/10.52202/085713-4953)**Weijie Shi, Yue Li Cui, Yaguang Wu et al.
5093. **[Semi-infinite Nonconvex Constrained Min-Max Optimization ↗](https://doi.org/10.52202/085713-3817)**Cody Melcher, Zeinab Alizadeh, Lindsey Hiett et al.
5094. **[Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis ↗](https://doi.org/10.52202/085713-3693)**Yicong Jiang, Zheng Tracy Ke
5095. **[SeniorTalk: A Chinese Conversation Dataset with Rich Annotations for Super-Aged Seniors ↗](https://doi.org/10.52202/085713-3361)**chen yang, Hui Wang, Shiyao Wang et al.
5096. **[SentinelKilnDB: A Large-Scale Dataset and Benchmark for OBB Brick Kiln Detection in South Asia Using Satellite Imagery ↗](https://doi.org/10.52202/085713-3593)**Rishabh Mondal, Jeet Parab, Heer Kubadia et al.
5097. **[Separating the 'what' and 'how' of compositional computation to enable reuse and continual learning ↗](https://doi.org/10.52202/085713-3038)**Haozhe Shan, Sun Minni, Lea Duncker
5098. **[Sequence Modeling with Spectral Mean Flows ↗](https://doi.org/10.52202/085713-4422)**Jin Woo Kim, Max Beier, Petar Bevanda et al.
5099. **[Sequential Attention-based Sampling for Histopathological Analysis ↗](https://doi.org/10.52202/085713-5200)**G Tarun, Naman Malpani, Gugan Thoppe et al.
5100. **[Sequential Monte Carlo for Policy Optimization in Continuous POMDPs ↗](https://doi.org/10.52202/085713-1377)**Hany Abdulsamad, Sahel Iqbal, Simo Särkkä

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/50/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) … [50](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/50/) **51** [52](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/52/) … [59](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/59/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/52/)

- [← back to](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) — NeurIPS 2025