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title: "NeurIPS 2025 — all accepted papers, page 42 — Elamur Research"
description: "All 5,819 papers of NeurIPS 2025 · page 42 of 59, the most cited first; those with our summary link to it."
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# NeurIPS 2025: all accepted papers

5,819 papers · page 42 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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4101. **[Memory by accident: a theory of learning as a byproduct of network stabilization ↗](https://doi.org/10.52202/085713-2737)**Basile Confavreux, William Dorrell, Nishil Patel et al.
4102. **[Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains ↗](https://doi.org/10.52202/085713-3424)**Dongzhe Zheng, Wenjie Mei
4103. **[Memory-Efficient Training with In-Place FFT Implementation ↗](https://doi.org/10.52202/085713-4067)**XINYU DING, Bangtian Liu, Siyu Liao et al.
4104. **[Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks ↗](https://doi.org/10.52202/085713-5034)**Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal et al.
4105. **[MergeBench: A Benchmark for Merging Domain-Specialized LLMs ↗](https://doi.org/10.52202/085713-3374)**Yifei He, Siqi Zeng, Yuzheng Hu et al.
4106. **[Merlin L48 Spectrogram Dataset ↗](https://doi.org/10.52202/085713-2251)**Aaron Sun, Subhransu Maji, Grant Van Horn
4107. **[Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning ↗](https://doi.org/10.52202/085713-5214)**Jian Liu, Jing Xu, Song Guo et al.
4108. **[MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds ↗](https://doi.org/10.52202/085713-0301)**Bingquan Dai, Luo Li, Qihong Tang et al.
4109. **[Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers ↗](https://doi.org/10.52202/085713-1034)**Jiacheng You, Xinyang Chen, Yu Sun et al.
4110. **[Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data ↗](https://doi.org/10.52202/085713-5796)**Tian Gao, Songtao Lu, Junkyu Lee et al.
4111. **[Meta-Learning Objectives for Preference Optimization ↗](https://doi.org/10.52202/085713-2543)**Carlo Alfano, Silvia Sapora, Jakob Foerster et al.
4112. **[Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex ↗](https://doi.org/10.52202/085713-5606)**Meng-Lin Yu, Mu Nan, Hossein Adeli et al.
4113. **[Meta-learning how to Share Credit among Macro-Actions ↗](https://doi.org/10.52202/085713-3022)**Ionel-Alexandru Hosu, Traian Eugen Rebedea, Razvan Pascanu
4114. **[MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation ↗](https://doi.org/10.52202/085713-3313)**Weisen Jiang, Sinno Jialin Pan
4115. **[MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts ↗](https://doi.org/10.52202/085713-0989)**Mahmoud Selim, Sriharsha Bhat, Karl Henrik Johansson
4116. **[Metis: A Foundation Speech Generation Model with Masked Generative Pre-training ↗](https://doi.org/10.52202/085713-4381)**Yuancheng Wang, Jiachen Zheng, J. S. Zhang et al.
4117. **[Metric Automata Theory: A Unifying Theory of RNNs ↗](https://doi.org/10.52202/085713-4423)**Adam Dankowiakowski, Alessandro Ronca
4118. **[Metritocracy: Representative Metrics for Lite Benchmarks ↗](https://doi.org/10.52202/085713-0041)**Ariel D. Procaccia, Ben Schiffer, Serena Wang et al.
4119. **[Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo ↗](https://doi.org/10.52202/085713-0513)**Jakob Robnik, Reuben Cohn-Gordon, Uroš Seljak
4120. **[Metropolis-Hastings Sampling for 3D Gaussian Reconstruction ↗](https://doi.org/10.52202/085713-4782)**Hyunjin Kim, Haebeom Jung, Jaesik Park
4121. **[MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D Scans ↗](https://doi.org/10.52202/085713-2775)**Ahmet Serdar Karadeniz, Dimitrios Mallis, Danila Rukhovich et al.
4122. **[MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning ↗](https://doi.org/10.52202/085713-4521)**Kiarash Shamsi, Tran Gia Bao Ngo, Razieh Shirzadkhani et al.
4123. **[Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications ↗](https://doi.org/10.52202/085713-3075)**Riley Simmons-Edler, Jean Dong, Paul Lushenko et al.
4124. **[Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning ↗](https://doi.org/10.52202/085713-0687)**Ghada Sokar, Pablo Samuel Castro
4125. **[Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules ↗](https://doi.org/10.52202/085713-3411)**Yu Zhang, Peiwen Yuan, Yiwei Li et al.
4126. **[Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation ↗](https://doi.org/10.52202/085713-0112)**Abdelrahman Eldesokey, Aleksandar Cvejić, Bernard Ghanem et al.
4127. **[MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning? ↗](https://doi.org/10.52202/085713-5676)**Zhe Xu, Daoyuan Chen, Zhenqing Ling et al.
4128. **[MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO ↗](https://doi.org/10.52202/085713-2969)**Yicheng Xiao, Lin Song, Yukang Chen et al.
4129. **[MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents ↗](https://doi.org/10.52202/085713-2972)**Ziming Wei, Bingqian Lin, Zijian Jiao et al.
4130. **[Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization ↗](https://doi.org/10.52202/085713-0777)**Tan Pan, Kaiyu Guo, Dongli Xu et al.
4131. **[Minimax Adaptive Online Nonparametric Regression over Besov spaces ↗](https://doi.org/10.52202/085713-5799)**Paul Liautaud, Pierre Gaillard, Olivier Wintenberger
4132. **[Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap ↗](https://doi.org/10.52202/085713-4258)**Shixiang Liu
4133. **[MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations ↗](https://doi.org/10.52202/085713-5471)**The Viet Bui, Tien Mai, Thanh Nguyen
4134. **[Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities ↗](https://doi.org/10.52202/085713-5454)**Ruida Xi
4135. **[Missing Data Imputation by Reducing Mutual Information with Rectified Flows ↗](https://doi.org/10.52202/085713-2685)**Jiahao Yu, Qizhen Ying, Leyang Wang et al.
4136. **[Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization ↗](https://doi.org/10.52202/085713-3714)**Wenqi Liu, Xuemeng Song, Jiaxi Li et al.
4137. **[Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering ↗](https://doi.org/10.52202/085713-2006)**Jianfeng Cai, Jiale Hong, Zongmeng Zhang et al.
4138. **[Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics ↗](https://doi.org/10.52202/085713-4054)**Minseok Jeong, Giup Seo, Euiseok Hwang
4139. **[Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models ↗](https://doi.org/10.52202/085713-5082)**Xiwen Wei, Mustafa Munir, Radu Marculescu
4140. **[Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework ↗](https://doi.org/10.52202/085713-5469)**Chenghu Du, Shengwu Xiong, junyin Wang et al.
4141. **[Mitigating Overthinking in Large Reasoning Models via Manifold Steering ↗](https://doi.org/10.52202/085713-3430)**Yao Huang, Huanran Chen, Shouwei Ruan et al.
4142. **[Mitigating Semantic Collapse in Partially Relevant Video Retrieval ↗](https://doi.org/10.52202/085713-0783)**WonJun Moon, MinSeok Jung, Gilhan Park et al.
4143. **[Mitigating Spurious Features in Contrastive Learning with Spectral Regularization ↗](https://doi.org/10.52202/085713-3597)**Naghmeh Ghanooni, Waleed Ahmed Abdalglil Mustafa, Dennis Wagner et al.
4144. **[Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy ↗](https://doi.org/10.52202/085713-5618)**Xiang Li, Chendi Wang, 苏步新 et al.
4145. **[MixAT: Combining Continuous and Discrete Adversarial Training for LLMs ↗](https://doi.org/10.52202/085713-2902)**Csaba Dékány, Stefan Balauca, Dimitar I. Dimitrov et al.
4146. **[Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning ↗](https://doi.org/10.52202/085713-3108)**Yuyang Deng, Samory Kpotufe
4147. **[Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go ↗](https://doi.org/10.52202/085713-3164)**Yichuan Ma, Linyang Li, Yongkang Chen et al.
4148. **[Mixture of Inputs: Text Generation Beyond Discrete Token Sampling ↗](https://doi.org/10.52202/085713-0889)**Yufan Zhuang, Liyuan Liu, Chandan Singh et al.
4149. **[Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants ↗](https://doi.org/10.52202/085713-1214)**Gangda Deng, Hongkuan Zhou, Rajgopal Kannan et al.
4150. **[Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training ↗](https://doi.org/10.52202/085713-1057)**Hong Wang, Haiyang Xin, Jie Wang et al.
4151. **[Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training ↗](https://doi.org/10.52202/085713-2421)**Sameera Ramasinghe, Thalaiyasingam Ajanthan, Hadi M. Dolatabadi et al.
4152. **[MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems ↗](https://doi.org/10.52202/085713-2717)**Yu Jiang, Yao Fu, Yeqi Huang et al.
4153. **[MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes ↗](https://doi.org/10.52202/085713-5373)**Feiyang Pan, Shenghe Zheng, Chunyan Yin et al.
4154. **[MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning ↗](https://doi.org/10.52202/085713-0698)**Han Wu, Jie Yin
4155. **[MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE ↗](https://doi.org/10.52202/085713-4176)**Zongle Huang, Lei Zhu, Zongyuan Zhan et al.
4156. **[MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition ↗](https://doi.org/10.52202/085713-1336)**Umberto Cappellazzo, Minsu Kim, Pingchuan Ma et al.
4157. **[MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation ↗](https://doi.org/10.52202/085713-1795)**Shen Yuan, Yin Zheng, Taifeng Wang et al.
4158. **[MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition ↗](https://doi.org/10.52202/085713-1313)**Hao Zhang, Zhan Zhuang, Xuehao Wang et al.
4159. **[MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding ↗](https://doi.org/10.52202/085713-1870)**Yuxiang Wei, Yanteng Zhang, Xi Xiao et al.
4160. **[MobileODE: An Extra Lightweight Network ↗](https://doi.org/10.52202/085713-4034)**Le Yu, Jun Wu, Bo Gou et al.
4161. **[ModHiFi: Identifying High Fidelity predictive components for Model Modification ↗](https://doi.org/10.52202/085713-1273)**Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak et al.
4162. **[Model Editing for Vision Transformers ↗](https://doi.org/10.52202/085713-2260)**Xinyi Huang, Kangfei Zhao, Long-Kai Huang
4163. **[Model Merging in Pre-training of Large Language Models ↗](https://doi.org/10.52202/085713-4456)**Yunshui Li, Yuntao Ma, Yan Shen et al.
4164. **[Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming ↗](https://doi.org/10.52202/085713-1884)**Yinxu Tang, Stylianos Loukas Vasileiou, Vincent Derkinderen et al.
4165. **[Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol ↗](https://doi.org/10.52202/085713-1430)**Pai Liu, Lingfeng Zhao, Shivangi Agarwal et al.
4166. **[Model-Informed Flows for Bayesian Inference ↗](https://doi.org/10.52202/085713-2924)**Joohwan Ko, Justin Domke
4167. **[Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors ↗](https://doi.org/10.52202/085713-0684)**Finn Schmidt, Polina Turishcheva, Suhas Shrinivasan et al.
4168. **[Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow ↗](https://doi.org/10.52202/085713-3453)**Kristiyan Sakalyan, Alessandro Palma, Filippo Guerranti et al.
4169. **[Modeling Neural Activity with Conditionally Linear Dynamical Systems ↗](https://doi.org/10.52202/085713-2931)**Victor Geadah, Amin Nejatbakhsh, David Lipshutz et al.
4170. **[Modeling the Economic Impacts of AI Openness Regulation ↗](https://doi.org/10.52202/085713-1246)**Tori Qiu, Benjamin Laufer, Jon M. Kleinberg et al.
4171. **[Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One ↗](https://doi.org/10.52202/085713-0404)**Itamar Avitan, Tal Golan
4172. **[ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models ↗](https://doi.org/10.52202/085713-3643)**Zhuo Chen, Yizhen Zheng, Huan Yee Koh et al.
4173. **[MokA: Multimodal Low-Rank Adaptation for MLLMs ↗](https://doi.org/10.52202/085713-4588)**Yake Wei, Yu Miao, Dongzhan Zhou et al.
4174. **[Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model ↗](https://doi.org/10.52202/085713-0908)**Dongki Kim, Wonbin Lee, Sung Ju Hwang
4175. **[MolVision: Molecular Property Prediction with Vision Language Models ↗](https://doi.org/10.52202/085713-4519)**Deepan Adak, Yogesh Singh, Shruti Vyas
4176. **[MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges ↗](https://doi.org/10.52202/085713-5412)**Rongchao Zhang, Yu Huang, Yongzhi Cao et al.
4177. **[Momentum Multi-Marginal Schrödinger Bridge Matching ↗](https://doi.org/10.52202/085713-2877)**Panagiotis Theodoropoulos, Augustinos D. Saravanos, Evangelos A. Theodorou et al.
4178. **[MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention ↗](https://doi.org/10.52202/085713-0121)**Can Berkin Yaras, Alec Xu, Pierre Abillama et al.
4179. **[Monitoring Risks in Test-Time Adaptation ↗](https://doi.org/10.52202/085713-2705)**Mona Schirmer, Metod Jazbec, Christian A. Naesseth et al.
4180. **[MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation ↗](https://doi.org/10.52202/085713-0181)**Ziru Wang, Mengmeng Wang, Guang Dai et al.
4181. **[Monoculture or Multiplicity: Which Is It? ↗](https://doi.org/10.52202/085713-5456)**Mila Gorecki, Moritz Hardt
4182. **[Monotone and Separable Set Functions: Characterizations and Neural Models ↗](https://doi.org/10.52202/085713-2024)**SOUTRIK SARANGI, Yonatan Sverdlov, Nadav Dym et al.
4183. **[MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis ↗](https://doi.org/10.52202/085713-0925)**Mengxi Xiao, Ben Liu, He Li et al.
4184. **[MoonCast: High-Quality Zero-Shot Podcast Generation ↗](https://doi.org/10.52202/085713-0220)**Zeqian Ju, Dongchao Yang, Kai Shen et al.
4185. **[More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models ↗](https://doi.org/10.52202/085713-3844)**Hongkai Lin, Dingkang Liang, Mingyang DU et al.
4186. **[More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation ↗](https://doi.org/10.52202/085713-3624)**Derui Zhu, Dingfan Chen, jinfu chen et al.
4187. **[More effort is needed to protect pedestrian privacy in the era of AI ↗](https://doi.org/10.52202/085713-0649)**Xingchen Zhang, Zixian Zhao
4188. **[More of the Same: Persistent Representational Harms Under Increased Representation ↗](https://doi.org/10.52202/085713-2047)**Jennifer Mickel, Maria De‐Arteaga, Liu Leqi et al.
4189. **[Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction ↗](https://doi.org/10.52202/085713-4018)**Jiacong Chen, Qingyu Mao, Youneng Bao et al.
4190. **[Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding ↗](https://doi.org/10.52202/085713-3869)**Haoran Zhou, Gim Hee Lee
4191. **[MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation ↗](https://doi.org/10.52202/085713-4087)**Kaleab A. Kinfu, René Vidal
4192. **[Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures ↗](https://doi.org/10.52202/085713-3780)**Shuqing Luo, Ye Han, Pingzhi Li et al.
4193. **[MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining ↗](https://doi.org/10.52202/085713-2558)**Zhixun Chen, Ping Yi Guo, Wenhan Han et al.
4194. **[MuSLR: Multimodal Symbolic Logical Reasoning ↗](https://doi.org/10.52202/085713-1727)**Jianyu Xu, Hao Fei, Yuhui Zhang et al.
4195. **[Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function ↗](https://doi.org/10.52202/085713-0443)**Yi-Chen Li, Zhongxiang Ling, Tao Jiang et al.
4196. **[Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration ↗](https://doi.org/10.52202/085713-2640)**Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.
4197. **[Multi-Agent Reinforcement Learning with Communication-Constrained Priors ↗](https://doi.org/10.52202/085713-5150)**Guang Yang, Tianpei Yang, Jingwen Qiao et al.
4198. **[Multi-Class Support Vector Machine with Differential Privacy ↗](https://doi.org/10.52202/085713-2449)**J.-G. Park, Yujin Choi, Jaewook Lee
4199. **[Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability ↗](https://doi.org/10.52202/085713-5229)**Eline M. Bovy, Caleb Probine, Marnix Suilen et al.
4200. **[Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration ↗](https://doi.org/10.52202/085713-2365)**Hongkang Zhang, Shao‐Lun Huang, Ercan Kuruoglu et al.

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