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title: "NeurIPS 2025 — all accepted papers, page 29 — Elamur Research"
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# NeurIPS 2025: all accepted papers

5,819 papers · page 29 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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2801. **[Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training ↗](https://doi.org/10.52202/085713-3898)**William Merrill, Shane Arora, Dirk Groeneveld et al.
2802. **[CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding ↗](https://doi.org/10.52202/085713-4547)**Qin Xu, Qihang Wu, Lu Hongtao et al.
2803. **[Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model ↗](https://doi.org/10.52202/085713-2354)**Yudong Li, Jingyuan Wang, Xie Yu et al.
2804. **[Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models ↗](https://doi.org/10.52202/085713-4120)**Wenzhuo Tang, Haitao Mao, Danial Dervovic et al.
2805. **[Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling ↗](https://doi.org/10.52202/085713-1792)**Eray Erturk, Saba Hashemi, Maryam Modir Shanechi
2806. **[Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models ↗](https://doi.org/10.52202/085713-3468)**Sai Niranjan Ramachandran, Manish Krishan Lal, Suvrit Sra
2807. **[Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect ↗](https://doi.org/10.52202/085713-2567)**Tom Kouwenhoven, Kiana Shahrasbi, Tessa Verhoef
2808. **[Crucible: Quantifying the Potential of Control Algorithms through LLM Agents ↗](https://doi.org/10.52202/085713-4103)**Lianchen Jia, Chaoyang Li, Houde Qian et al.
2809. **[CrypticBio: A Large Multimodal Dataset for Visually Confusing Species ↗](https://doi.org/10.52202/085713-0049)**Georgiana Manolache, Gerard Schouten, Joaquin Vanschoren
2810. **[CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing ↗](https://doi.org/10.52202/085713-1927)**Yifan Zhou, Tianshi Xu, Jue Hong et al.
2811. **[Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation ↗](https://doi.org/10.52202/085713-3514)**Xiang Li, Zirui Wang, Zixuan Huang et al.
2812. **[Curious Causality-Seeking Agents in Open-ended Worlds ↗](https://doi.org/10.52202/085713-5145)**Zhiyu Zhao, Haoxuan Li, Haifeng Zhang et al.
2813. **[Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity ↗](https://doi.org/10.52202/085713-5522)**Hugo Ninou, Jonathan Kadmon, N. Alex Cayco-Gajic
2814. **[Curly Flow Matching for Learning Non-gradient Field Dynamics ↗](https://doi.org/10.52202/085713-4053)**Katarina Petrović, Lazar Atanackovic, Viggo Moro et al.
2815. **[Curriculum Abductive Learning ↗](https://doi.org/10.52202/085713-5803)**Wenchao Hu, Qijie Li, Lin-Han Jia et al.
2816. **[Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs ↗](https://doi.org/10.52202/085713-0669)**Georgios Tzannetos, Parameswaran Kamalaruban, Adish Kumar Singla
2817. **[Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization ↗](https://doi.org/10.52202/085713-1309)**Baoyi He, Luotian Yuan, Ying Wei et al.
2818. **[Curvature Tuning: Provable Training-free Model Steering From a Single Parameter ↗](https://doi.org/10.52202/085713-2037)**Linfeng Hu, Matteo Gamba, Randall Balestriero
2819. **[CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning ↗](https://doi.org/10.52202/085713-0594)**Ronghao Lin, Qiaolin He, Sijie Mai et al.
2820. **[Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization ↗](https://doi.org/10.52202/085713-5206)**Shaohan Li, Yunpeng Shi, Gilad Lerman
2821. **[Cyclic Counterfactuals under Shift–Scale Interventions ↗](https://doi.org/10.52202/085713-4328)**Saptarshi Saha, Dhruv Rathore, Utpal Garain
2822. **[CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation ↗](https://doi.org/10.52202/085713-2710)**Li Liang, Bo Miao, Xinyu Wang et al.
2823. **[Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation ↗](https://doi.org/10.52202/085713-3349)**Hanchen Su, Xuyuan Li, Yan Zhou et al.
2824. **[D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction ↗](https://doi.org/10.52202/085713-3774)**Lipei Zhang, Rui Sun, Zhongying Deng et al.
2825. **[DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series ↗](https://doi.org/10.52202/085713-5551)**Yifan WANG, Hongfeng Ai, ruiqi li et al.
2826. **[DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning ↗](https://doi.org/10.52202/085713-1860)**Runpeng Xie, Quanwei Wang, Hao Hu et al.
2827. **[DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization ↗](https://doi.org/10.52202/085713-2401)**Jiacai Liu, Chaojie Wang, Chris Liu et al.
2828. **[DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models ↗](https://doi.org/10.52202/085713-5142)**Cathy Jiao, Yijun Pan, Emily Xiao et al.
2829. **[DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases ↗](https://doi.org/10.52202/085713-3450)**Mo Wang, Kaining Peng, Jingsheng Tang et al.
2830. **[DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection ↗](https://doi.org/10.52202/085713-3097)**Yingli Shen, Wen Lai, Shuo Wang et al.
2831. **[DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing ↗](https://doi.org/10.52202/085713-0017)**Zixiang Li, Haoyu Wang, Wei Wang et al.
2832. **[DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads ↗](https://doi.org/10.52202/085713-0172)**Antonio Guillén, Avisek Naug, Vineet Gundecha et al.
2833. **[DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer ↗](https://doi.org/10.52202/085713-4908)**Wentao Xu, Huiqiao Fu, Haoyu Dong et al.
2834. **[DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models ↗](https://doi.org/10.52202/085713-3413)**Komal Kumar, Rao Muhammad Anwer, Fahad Shahbaz Khan et al.
2835. **[DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting ↗](https://doi.org/10.52202/085713-3912)**Lingzhuang Meng, Mingwen Shao, Yuanjian Qiao et al.
2836. **[DERD-Net: Learning Depth from Event-based Ray Densities ↗](https://doi.org/10.52202/085713-0035)**Diego de Oliveira Hitzges, Suman Ghosh, Guillermo Gallego
2837. **[DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning ↗](https://doi.org/10.52202/085713-4887)**Yongxin He, Shan Zhang, Yixuan Cao et al.
2838. **[DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models ↗](https://doi.org/10.52202/085713-4039)**Simone Carnemolla, Matteo Pennisi, Sarinda Samarasinghe et al.
2839. **[DGCBench: A Deep Graph Clustering Benchmark ↗](https://doi.org/10.52202/085713-0577)**Benyu Wu, Yue Liu, Qiaoyu Tan et al.
2840. **[DGH: Dynamic Gaussian Hair ↗](https://doi.org/10.52202/085713-1519)**Junying Wang, Yuanlu Xu, Edith Tretschk et al.
2841. **[DINGO: Constrained Inference for Diffusion LLMs ↗](https://doi.org/10.52202/085713-5362)**Tarun Suresh, Debangshu Banerjee, Shubham Ugare et al.
2842. **[DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models ↗](https://doi.org/10.52202/085713-5149)**Longquan Dai, Wu Ming, Dejiao Xue et al.
2843. **[DISCO: Disentangled Communication Steering for Large Language Models ↗](https://doi.org/10.52202/085713-1938)**Max Torop, Aria Masoomi, Masih Eskandar et al.
2844. **[DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning ↗](https://doi.org/10.52202/085713-0738)**Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter et al.
2845. **[DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging ↗](https://doi.org/10.52202/085713-5433)**Felix Wagner, Pramit Saha, Harry Anthony et al.
2846. **[DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning ↗](https://doi.org/10.52202/085713-1166)**Yueyang Yuan, Wenke Huang, Frank Wan et al.
2847. **[DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning ↗](https://doi.org/10.52202/085713-0598)**Sitong Wu, Haoru Tan, Jingyao Li et al.
2848. **[DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm ↗](https://doi.org/10.52202/085713-0065)**Xiaowei Zhu, Yubing Ren, Fang Fang et al.
2849. **[DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment ↗](https://doi.org/10.52202/085713-4849)**Sangwoo Kwon, Seong Hoon Seo, Jae Wook Lee et al.
2850. **[DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization ↗](https://doi.org/10.52202/085713-0217)**Yunseon Choi, Minchan Jeong, Soobin Um et al.
2851. **[DQVis Dataset: Natural Language to Biomedical Visualization ↗](https://doi.org/10.52202/085713-1956)**Devin Lange, Pengwei Sui, Shanghua Gao et al.
2852. **[DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering ↗](https://doi.org/10.52202/085713-5806)**Jiakai Li, Rongzheng Wang, Yizhuo Ma et al.
2853. **[DSCS: Fast CPDAG-Based Verification of Collapsible Submodels in High-Dimensional Bayesian Networks ↗](https://doi.org/10.52202/085713-4726)**Wentao Wu, Shiyuan He, Jianhua Guo
2854. **[DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs ↗](https://doi.org/10.52202/085713-2238)**Chengtai Li, Yuting He, Jianfeng Ren et al.
2855. **[DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing ↗](https://doi.org/10.52202/085713-4353)**Zhijian Zhou, Xunye Tian, Liuhua Peng et al.
2856. **[DUO: No Compromise to Accuracy Degradation ↗](https://doi.org/10.52202/085713-2818)**Jinda Jia, Cong Xie, Hanlin Lu et al.
2857. **[DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding ↗](https://doi.org/10.52202/085713-0910)**Yue Jiang, Jichu Li, Yang Liu et al.
2858. **[Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning ↗](https://doi.org/10.52202/085713-5506)**Xiao Han, ZIMO ZHAO, Wanyu Wang et al.
2859. **[Data Fusion for Partial Identification of Causal Effects ↗](https://doi.org/10.52202/085713-5038)**Quinn Lanners, Cynthia D Rudin, Alexander Volfovsky et al.
2860. **[Data Mixing Can Induce Phase Transitions in Knowledge Acquisition ↗](https://doi.org/10.52202/085713-5449)**Xinran Gu, Kaifeng Lyu, Jiazheng Li et al.
2861. **[Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework ↗](https://doi.org/10.52202/085713-3300)**Thomson Yen, Andrew Wei Tung Siah, Haozhe Chen et al.
2862. **[Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models ↗](https://doi.org/10.52202/085713-0316)**Xu Yang, Chen Liu, Ying Wei
2863. **[Data-Adaptive Exposure Thresholds under Network Interference ↗](https://doi.org/10.52202/085713-4373)**Vydhourie Thiyageswaran, Tyler H. McCormick, Jennifer Brennan
2864. **[Data-Dependent Regret Bounds for Constrained MABs ↗](https://doi.org/10.52202/085713-0060)**Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni et al.
2865. **[Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions ↗](https://doi.org/10.52202/085713-4680)**Zeyu Wang, Yidan Song, Shihao Qin et al.
2866. **[DataSIR: A Benchmark Dataset for Sensitive Information Recognition ↗](https://doi.org/10.52202/085713-1321)**Fan Mo, Bo Liu, Yuan Fan et al.
2867. **[Dataset Distillation for Pre-Trained Self-Supervised Vision Models ↗](https://doi.org/10.52202/085713-2019)**George Cazenavette, Antonio B. Torralba, Vincent Sitzmann
2868. **[Dataset Distillation of 3D Point Clouds via Distribution Matching ↗](https://doi.org/10.52202/085713-2477)**Jae-Young Yim, Dong-Wook Kim, Jae-Young Sim
2869. **[Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality ↗](https://doi.org/10.52202/085713-0999)**Alex Fang, Hadi Pouransari, Matt Jordan et al.
2870. **[DeCaFlow: A deconfounding causal generative model ↗](https://doi.org/10.52202/085713-4558)**Alejandro Almodóvar, Adrián Javaloy, Juan Parras et al.
2871. **[Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery ↗](https://doi.org/10.52202/085713-4664)**Zhe Zhao, HaiBin Wen, Xianfu Liu et al.
2872. **[Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation ↗](https://doi.org/10.52202/085713-3591)**Liliang Ren, Congcong Chen, Haoran Xu et al.
2873. **[Decoding Causal Structure: End-to-End Mediation Pathways Inference ↗](https://doi.org/10.52202/085713-4164)**Yulong Li, Xiwei Liu, feilong tang et al.
2874. **[DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition ↗](https://doi.org/10.52202/085713-1083)**Donghao Luo, Xue Wang
2875. **[Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation ↗](https://doi.org/10.52202/085713-0177)**Hanzhuo Tan, Xiaolong Tian, Hanrui Qi et al.
2876. **[Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components ↗](https://doi.org/10.52202/085713-1930)**Abel Jansma
2877. **[Decomposing motor units through elimination for real-time intention driven assistive neurotechnology ↗](https://doi.org/10.52202/085713-4096)**Nicholas J. Tacca, Bryan R. Schlink, Jackson Levine et al.
2878. **[Decomposing stimulus-specific sensory neural information via diffusion models ↗](https://doi.org/10.52202/085713-1806)**Steeve Laquitaine, Simone Azeglio, Carlo Paris et al.
2879. **[Decoupled Entropy Minimization ↗](https://doi.org/10.52202/085713-5381)**Jing Ma, Hanlin Li, Xiang Xiang
2880. **[Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models ↗](https://doi.org/10.52202/085713-5559)**Wei Chen, Xinping Yan, Bin Wen et al.
2881. **[DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction ↗](https://doi.org/10.52202/085713-1952)**Yupu Zhang, Zelin Xu, Tingsong Xiao et al.
2882. **[Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport ↗](https://doi.org/10.52202/085713-4915)**Ferdinand Genans, Antoine Godichon‐Baggioni, François‐Xavier Vialard et al.
2883. **[Deep Continuous-Time State-Space Models for Marked Event Sequences ↗](https://doi.org/10.52202/085713-5431)**Yuxin Chang, Alex Boyd, Cao (Danica) Xiao et al.
2884. **[Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning ↗](https://doi.org/10.52202/085713-5261)**Dongkwan Lee, JunHoo Lee, Nojun Kwak
2885. **[Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting ↗](https://doi.org/10.52202/085713-0659)**Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas et al.
2886. **[Deep Learning with Plausible Deniability ↗](https://doi.org/10.52202/085713-5428)**Wenxuan Bao, Shan Jin, Hadi Abdullah et al.
2887. **[Deep Legendre Transform ↗](https://doi.org/10.52202/085713-3557)**Aleksey Minabutdinov, Patrick Cheridito
2888. **[Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments ↗](https://doi.org/10.52202/085713-2709)**Riley Simmons-Edler, Ryan P. Badman, Felix Berg et al.
2889. **[Deep Tree Tensor Networks ↗](https://doi.org/10.52202/085713-1560)**Chang Nie
2890. **[Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences ↗](https://doi.org/10.52202/085713-0355)**Joshua Ashkinaze, Hua Shen, Saipranav Avula et al.
2891. **[Deep learning for continuous-time stochastic control with jumps ↗](https://doi.org/10.52202/085713-4482)**Patrick Cheridito, Jean-Loup Dupret, Donatien Hainaut
2892. **[DeepASA: An Object-Oriented Multi-Purpose Network for Auditory Scene Analysis ↗](https://doi.org/10.52202/085713-5667)**Dongheon Lee, Younghoo Kwon, Jungwoo Choi
2893. **[DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning ↗](https://doi.org/10.52202/085713-0554)**Wenxuan Shi, Haochen Tan, Chuqiao Kuang et al.
2894. **[DeepHalo: A Neural Choice Model with Controllable Context Effects ↗](https://doi.org/10.52202/085713-4551)**Shuhan Zhang, Zhi Wang, Rui Gao et al.
2895. **[DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer ↗](https://doi.org/10.52202/085713-0915)**Haiduo Huang, Ji Young Song, Yadong Zhang et al.
2896. **[Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration ↗](https://doi.org/10.52202/085713-0086)**Jingjun Yi, Qi Bi, Hao Zheng et al.
2897. **[Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency ↗](https://doi.org/10.52202/085713-4615)**Naoki Nishikawa, Rei Higuchi, Taiji Suzuki
2898. **[Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction ↗](https://doi.org/10.52202/085713-0403)**Jeffrey Willette, Heejun Lee, Sung Ju Hwang
2899. **[DeltaFormer: Unlock the state space of Transformer ↗](https://doi.org/10.52202/085713-5697)**Mingyu Xu, Tenglong Ao, Jiaao He et al.
2900. **[DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving ↗](https://doi.org/10.52202/085713-0427)**Xihang Yue, Yi Ping Yang, Linchao Zhu

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