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title: "NeurIPS 2025 — all accepted papers, page 34 — Elamur Research"
description: "All 5,819 papers of NeurIPS 2025 · page 34 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 34 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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3301. **[Feature-aware Modulation for Learning from Temporal Tabular Data ↗](https://doi.org/10.52202/085713-5050)**Hao-Run Cai, Han-Jia Ye
3302. **[FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning ↗](https://doi.org/10.52202/085713-3167)**Yang Zhi-qin, Yonggang Zhang, Chenxin Li et al.
3303. **[FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery ↗](https://doi.org/10.52202/085713-1308)**Geeho Kim, Jinu Lee, Bohyung Han
3304. **[FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts ↗](https://doi.org/10.52202/085713-1726)**Weihao Bo, Yanpeng Sun, Yu Wang et al.
3305. **[FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning ↗](https://doi.org/10.52202/085713-2897)**Yunbo Li, Jiaping Gui, Zhihang Deng et al.
3306. **[FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning ↗](https://doi.org/10.52202/085713-2043)**Gang Yan, Sikai Yang, Wan Du
3307. **[FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning ↗](https://doi.org/10.52202/085713-3425)**Fan Wu, Xinyu Yan, Jiabei Liu et al.
3308. **[FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models ↗](https://doi.org/10.52202/085713-4702)**Pingxiong Ye, Luo Junwei, Jiachen Shen et al.
3309. **[Federated Continual Learning via Orchestrating Multi-Scale Expertise ↗](https://doi.org/10.52202/085713-0768)**Xiaoyang Yi, Yang Liu, Binhan Yang et al.
3310. **[Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities ↗](https://doi.org/10.52202/085713-2885)**Xihang Qiu, Jiarong Cheng, Yuhao Fang et al.
3311. **[Feedback-Aware MCTS for Goal-Oriented Information Seeking ↗](https://doi.org/10.52202/085713-4323)**Harshita Chopra, Chirag Shah
3312. **[Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown ↗](https://doi.org/10.52202/085713-4673)**Emile Anand, Sarah Liaw
3313. **[Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations ↗](https://doi.org/10.52202/085713-4999)**Faisal Hamman, Pasan Dissanayake, Yanjun Fu et al.
3314. **[Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining ↗](https://doi.org/10.52202/085713-3260)**Mikey Shechter, Yair Carmon
3315. **[Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods ↗](https://doi.org/10.52202/085713-3562)**Dennis Wei, Inkit Padhi, Soumya Ghosh et al.
3316. **[Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization ↗](https://doi.org/10.52202/085713-4055)**Michael Green, Matan Levy, Issar Tzachor et al.
3317. **[Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW ↗](https://doi.org/10.52202/085713-2004)**Fengmiao Bian, Jinyang ZHENG, Ziyun Liu et al.
3318. **[Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms ↗](https://doi.org/10.52202/085713-1620)**Mingjie Li, Wai Man Si, Michael Backes A et al.
3319. **[Finding separatrices of dynamical flows with Deep Koopman Eigenfunctions ↗](https://doi.org/10.52202/085713-5336)**Kabir Dabholkar, Omri Barak
3320. **[Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods ↗](https://doi.org/10.52202/085713-5112)**Oussama Zékri, Nicolas Boullé
3321. **[FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges ↗](https://doi.org/10.52202/085713-3977)**Kevin Hayes, Micah Goldblum, Vikash Sehwag et al.
3322. **[FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning ↗](https://doi.org/10.52202/085713-2261)**Lu Zhang, Jiazuo Yu, Haomiao Xiong et al.
3323. **[Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control ↗](https://doi.org/10.52202/085713-1072)**Hongyi Zhou, Jingwei Li, Jingzhao Zhang
3324. **[Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features ↗](https://doi.org/10.52202/085713-3210)**Zixuan Xie, Xinyu Liu, Rohan Chandra et al.
3325. **[Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning ↗](https://doi.org/10.52202/085713-5079)**Yang Xu, Washim Uddin Mondal, Vaneet Aggarwal
3326. **[Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds ↗](https://doi.org/10.52202/085713-4473)**Emre Sahinoglu, Youbang Sun, Shahin Shahrampour
3327. **[Finite-Time Bounds for Average-Reward Fitted Q-Iteration ↗](https://doi.org/10.52202/085713-3978)**Jongmin Lee, Ernest K. Ryu
3328. **[Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video ↗](https://doi.org/10.52202/085713-0990)**Aditi Tiwari, Farzaneh Masoud, Dac Da Nguyen et al.
3329. **[First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training ↗](https://doi.org/10.52202/085713-4711)**Gyudong Kim, Hyukju Na, Jin Kim et al.
3330. **[First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training ↗](https://doi.org/10.52202/085713-2084)**Lai Wei, Yuting Li, Chen Wang et al.
3331. **[Fisher meets Feynman: score-based variational inference with a product of experts ↗](https://doi.org/10.52202/085713-1811)**Diana Cai, Robert Gower, David M. Blei et al.
3332. **[Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models ↗](https://doi.org/10.52202/085713-2526)**Hai Yan, Haijian Ma, Xiaowen Cai et al.
3333. **[Fix False Transparency by Noise Guided Splatting ↗](https://doi.org/10.52202/085713-5674)**Aly El Hakie, Yiren Lu, Yu Yin et al.
3334. **[Fixed-Point RNNs: Interpolating from Diagonal to Dense ↗](https://doi.org/10.52202/085713-1495)**Sajad Movahedi, Felix Sarnthein, Nicola Muca Cirone et al.
3335. **[Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance ↗](https://doi.org/10.52202/085713-3776)**Aladin Djuhera, Swanand Kadhe, Syed Zawad et al.
3336. **[FlareX: A Physics-Informed Dataset for Lens Flare Removal via 2D Synthesis and 3D Rendering ↗](https://doi.org/10.52202/085713-4425)**Lishen Qu, Zhihao Liu, Jinshan Pan et al.
3337. **[FlashBias: Fast Computation of Attention with Bias ↗](https://doi.org/10.52202/085713-0699)**Hong Ren Wu, Minghao Guo, Yuxin Ma et al.
3338. **[FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation ↗](https://doi.org/10.52202/085713-1129)**Zeyu Zhang, Yiran Wang, Danning Li et al.
3339. **[Flat Channels to Infinity in Neural Loss Landscapes ↗](https://doi.org/10.52202/085713-2429)**Flavio Martinelli, Alexander van Meegen, Berfin Şimşek et al.
3340. **[Flatten Graphs as Sequences: Transformers are Scalable Graph Generators ↗](https://doi.org/10.52202/085713-2323)**Dexiong Chen, Markus Krimmel, Karsten Borgwardt
3341. **[Flattening Hierarchies with Policy Bootstrapping ↗](https://doi.org/10.52202/085713-2781)**John Zhou, Jonathan C. Kao
3342. **[Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators ↗](https://doi.org/10.52202/085713-3625)**Jongwoo Ko, Sungnyun Kim, Sungwoo Cho et al.
3343. **[Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows ↗](https://doi.org/10.52202/085713-5765)**Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu et al.
3344. **[Flexible Realignment of Language Models ↗](https://doi.org/10.52202/085713-2239)**Wenhong Zhu, Ruobing Xie, Weinan Zhang et al.
3345. **[Flexible inference for animal learning rules using neural networks ↗](https://doi.org/10.52202/085713-0295)**Yuhan Helena Liu, Victor Geadah, Jonathan W. Pillow
3346. **[Flick: Empowering Federated Learning with Commonsense Knowledge ↗](https://doi.org/10.52202/085713-0046)**Ran Zhu, Mingkun Yang, Shiqiang Wang et al.
3347. **[Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning ↗](https://doi.org/10.52202/085713-0371)**Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh et al.
3348. **[Flow Equivariant Recurrent Neural Networks ↗](https://doi.org/10.52202/085713-5244)**Andy Keller
3349. **[Flow Field Reconstruction with Sensor Placement Policy Learning ↗](https://doi.org/10.52202/085713-3500)**Ruoyan Li, Frank Wan, Zijie Huang et al.
3350. **[Flow Matching Neural Processes ↗](https://doi.org/10.52202/085713-3883)**Hussen Abu Hamad, Dan Rosenbaum
3351. **[Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises ↗](https://doi.org/10.52202/085713-0283)**Abdellah Rahmani, Pascal Frossard B
3352. **[FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models ↗](https://doi.org/10.52202/085713-3174)**Jintao Tong, Wenwei Jin, Pengda Qin et al.
3353. **[FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation ↗](https://doi.org/10.52202/085713-3445)**Siyi Chen, Yixuan Jia, Qing Qu et al.
3354. **[FlowFeat: Pixel-Dense Embedding of Motion Profiles ↗](https://doi.org/10.52202/085713-5419)**Nikita Araslanov, Anna Sonnweber, Daniel Cremers
3355. **[FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting ↗](https://doi.org/10.52202/085713-2970)**Fares Mehouachi, Saif Eddin Jabari
3356. **[FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation ↗](https://doi.org/10.52202/085713-2771)**Ariel Shaulov, Itay Hazan, Lior Wolf et al.
3357. **[FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training ↗](https://doi.org/10.52202/085713-1798)**Yunqi Gao, Bing Hu, Mahdi Boloursaz Mashhadi et al.
3358. **[FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation ↗](https://doi.org/10.52202/085713-4589)**Yutong Feng, Xu Liu, Yutong Xia et al.
3359. **[FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network ↗](https://doi.org/10.52202/085713-4475)**Shuo Xu, Yu Chen, Shuxia Lin et al.
3360. **[FoGE: Fock Space inspired encoding for graph prompting ↗](https://doi.org/10.52202/085713-3610)**Takis Chytas, Rudrasis Chakraborty, Vikas Singh
3361. **[Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments ↗](https://doi.org/10.52202/085713-0940)**Jiahui Wang, Chao Chen, Jiacheng Xu et al.
3362. **[Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models ↗](https://doi.org/10.52202/085713-3269)**Louis Béthune, David Vigouroux, Yilun Du et al.
3363. **[Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems ↗](https://doi.org/10.52202/085713-3705)**Jingxin Zhan, Yuchen Xin, Chenjie Sun et al.
3364. **[For Better or for Worse, Transformers Seek Patterns for Memorization ↗](https://doi.org/10.52202/085713-3473)**Madhur Panwar, Gail Weiss, Navin Goyal et al.
3365. **[ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching ↗](https://doi.org/10.52202/085713-4140)**Huanlei Guo, Song LIU, Bing‐Yi Jing
3366. **[Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation ↗](https://doi.org/10.52202/085713-5631)**Muhammad Adnan, Nithesh Kurella, Akhil Arunkumar et al.
3367. **[Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation ↗](https://doi.org/10.52202/085713-2626)**Cécile Rousseau, Tobia Boschi, Giandomenico Cornacchia et al.
3368. **[Formal Models of Active Learning from Contrastive Examples ↗](https://doi.org/10.52202/085713-3282)**Farnam Mansouri, Hans Simon, Adish Kumar Singla et al.
3369. **[Fortifying Time Series: DTW-Certified Robust Anomaly Detection ↗](https://doi.org/10.52202/085713-5524)**Shijie Liu, Tansu Alpcan, Christopher A. Leckie et al.
3370. **[Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge ↗](https://doi.org/10.52202/085713-0431)**Yiyang Cai, Zhengkai Jiang, Yulong Liu et al.
3371. **[Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition ↗](https://doi.org/10.52202/085713-1862)**Fan Liu, Jindong Han, Tengfei Lyu et al.
3372. **[Foundations of Top-k Decoding for Language Models ↗](https://doi.org/10.52202/085713-3890)**Georgy Noarov, Soham Mallick, Tao Wang et al.
3373. **[FraPPE: Fast and Efficient Preference-Based Pure Exploration ↗](https://doi.org/10.52202/085713-0312)**Udvas Das, Apurv Shukla, Debabrota Basu
3374. **[FracFace: Breaking the Visual Clues—Fractal-Based Privacy-Preserving Face Recognition ↗](https://doi.org/10.52202/085713-0053)**Wanying Dai, Beibei Li, Naipeng Dong et al.
3375. **[Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape ↗](https://doi.org/10.52202/085713-3542)**Shiyue Wang, Ziao Guo, Changhong Lü et al.
3376. **[FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction ↗](https://doi.org/10.52202/085713-0019)**Lin Jiang, Xinyu Chen, Song Wu et al.
3377. **[FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents ↗](https://doi.org/10.52202/085713-5255)**Nandan Thakur, Jimmy Lin, Sam Havens et al.
3378. **[From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications ↗](https://doi.org/10.52202/085713-1563)**Yang Cai, Haipeng Luo, Chen-Yu Wei et al.
3379. **[From Black-box to Causal-box: Towards Building More Interpretable Models ↗](https://doi.org/10.52202/085713-5678)**Inwoo Hwang, Yushu Pan, Elias Bareinboim
3380. **[From Bytes to Ideas: Language Modeling with Autoregressive U-Nets ↗](https://doi.org/10.52202/085713-3144)**Mathurin Videau, Badr Youbi Idrissi, Alessandro Leite et al.
3381. **[From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics ↗](https://doi.org/10.52202/085713-1387)**Zhengan Chen, Tao Luo
3382. **[From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards ↗](https://doi.org/10.52202/085713-5097)**Liad Erez, Tomer Koren
3383. **[From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks ↗](https://doi.org/10.52202/085713-0096)**Awa Khouna, Julien Ferry, Thibaut Vidal
3384. **[From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging ↗](https://doi.org/10.52202/085713-0701)**Tao Liu, Dafeng Zhang, Gengchen Li et al.
3385. **[From Euler to AI: Unifying Formulas for Mathematical Constants ↗](https://doi.org/10.52202/085713-4132)**Tomer Raz, Michael Shalyt, Elyasheev Leibtag et al.
3386. **[From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures ↗](https://doi.org/10.52202/085713-5194)**Jens U. Brandt, Noah Christoph Pütz, Marcus Greiff et al.
3387. **[From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging ↗](https://doi.org/10.52202/085713-4379)**Dmitry Lvov, Ilya Pershin
3388. **[From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs ↗](https://doi.org/10.52202/085713-5302)**Xiyuan Jin, Jing Wang, Ziwei Lin et al.
3389. **[From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD ↗](https://doi.org/10.52202/085713-2783)**Konstantinos Tsiolis, Alireza Mousavi-Hosseini, Murat A. Erdogdu
3390. **[From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring ↗](https://doi.org/10.52202/085713-1814)**Yang Li, Qiang Sheng, Yehan Yang et al.
3391. **[From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs ↗](https://doi.org/10.52202/085713-4298)**Xin Li, Xiaotao Zheng, Zhihong Jeff Xia
3392. **[From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning ↗](https://doi.org/10.52202/085713-5636)**Junsoo Oh, Jerry Song, Chulhee Yun
3393. **[From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers ↗](https://doi.org/10.52202/085713-0758)**Praneet Suresh, Jack Stanley, Sonia Joseph et al.
3394. **[From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes ↗](https://doi.org/10.52202/085713-0905)**Tianxu Wang, Zhuofan Zhang, Ziyu Zhu et al.
3395. **[From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy ↗](https://doi.org/10.52202/085713-5016)**Feng He, Guodong Tan, Qiankun Li et al.
3396. **[From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography ↗](https://doi.org/10.52202/085713-3854)**Ruofan Liu, Yichen Peng, Takanori Oku et al.
3397. **[From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models ↗](https://doi.org/10.52202/085713-3093)**HAO SUN, Zhongyi Han, Hao Chen et al.
3398. **[From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models ↗](https://doi.org/10.52202/085713-1704)**Weitong Zhang, Chengqi Zang, Bernhard Kainz
3399. **[From Sequence to Structure: Uncovering Substructure Reasoning in Transformers ↗](https://doi.org/10.52202/085713-2552)**Xinnan Dai, Kai Yang, Jay Revolinsky et al.
3400. **[From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers ↗](https://doi.org/10.52202/085713-2337)**Ryotaro Kawata, Yujin Song, Alberto Bietti et al.

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