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title: "NeurIPS 2025 — all accepted papers, page 27 — Elamur Research"
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# NeurIPS 2025: all accepted papers

5,819 papers · page 27 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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2601. **[CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation ↗](https://doi.org/10.52202/085713-3133)**Ziao Wang, Sixing Yan, Kejing Yin et al.
2602. **[CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays ↗](https://doi.org/10.52202/085713-2928)**Hyungyung Lee, Geon Choi, Jung-Oh Lee et al.
2603. **[CaMiT: A Time-Aware Car Model Dataset for Classification and Generation ↗](https://doi.org/10.52202/085713-2894)**Frédéric Lin, Biruk Abere Ambaw, Adrian Popescu et al.
2604. **[CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination ↗](https://doi.org/10.52202/085713-4228)**Yuena Lin, Hao Wei, Hai-Chun Cai et al.
2605. **[Calibrating Translation Decoding with Quality Estimation on LLMs ↗](https://doi.org/10.52202/085713-5203)**Di Wu, Yibin Lei, Christof Monz
2606. **[Can Class-Priors Help Single-Positive Multi-Label Learning? ↗](https://doi.org/10.52202/085713-0700)**Biao Liu, Ning Xu, Jie Wang et al.
2607. **[Can DPO Learn Diverse Human Values? A Theoretical Scaling Law ↗](https://doi.org/10.52202/085713-0985)**Shawn Im, Sharon Li
2608. **[Can Dependencies Induced by LLM-Agent Workflows Be Trusted? ↗](https://doi.org/10.52202/085713-0587)**Yu Yao, Yiliao Song, Yian Xie et al.
2609. **[Can Diffusion Models Disentangle? A Theoretical Perspective ↗](https://doi.org/10.52202/085713-0015)**Liming Wang, M. Jehanzeb Mirza, Yishu Gong et al.
2610. **[Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need? ↗](https://doi.org/10.52202/085713-3200)**Junchi Yu, Yujie Liu, Jindong Gu et al.
2611. **[Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation ↗](https://doi.org/10.52202/085713-0424)**Qijiong Liu, Jieming Zhu, Lu Fan et al.
2612. **[Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning ↗](https://doi.org/10.52202/085713-0209)**Tianle Zhang, Wanlong Fang, Jonathan Woo et al.
2613. **[Can Large Language Models Master Complex Card Games? ↗](https://doi.org/10.52202/085713-0833)**Wei Wang, Fuqing Bie, Junzhe Chen et al.
2614. **[Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch? ↗](https://doi.org/10.52202/085713-4361)**Yijie Hu, Zihao Zhou, Kaizhu Huang et al.
2615. **[Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance? ↗](https://doi.org/10.52202/085713-0755)**Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh et al.
2616. **[Can NeRFs "See" without Cameras? ↗](https://doi.org/10.52202/085713-3743)**Chaitanya Amballa, Yu‐Lin Wei, Sattwik Basu et al.
2617. **[Can We Infer Confidential Properties of Training Data from LLMs? ↗](https://doi.org/10.52202/085713-2124)**Pengrun Huang, Chhavi Yadav, Kamalika Chaudhuri et al.
2618. **[Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images ↗](https://doi.org/10.52202/085713-1910)**Jiao Tang, Wei Shao, Daoqiang Zhang
2619. **[Caption This, Reason That: VLMs Caught in the Middle ↗](https://doi.org/10.52202/085713-1332)**Zihan Weng, Lucas Gomez, Taylor Webb et al.
2620. **[Capturing Individual Human Preferences with Reward Features ↗](https://doi.org/10.52202/085713-2749)**Andre Barreto, Vincent Dumoulin, Yiran Mao et al.
2621. **[Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework ↗](https://doi.org/10.52202/085713-2780)**Laura Kopf, Nils Feldhus, Kirill Bykov et al.
2622. **[Cascaded Language Models for Cost-Effective Human–AI Decision-Making ↗](https://doi.org/10.52202/085713-0388)**Claudio Fanconi, Mihaela van der Schaar
2623. **[Causal Climate Emulation with Bayesian Filtering ↗](https://doi.org/10.52202/085713-2992)**Sebastian H. M. Hickman, Ilija Trajkovic, Julia Kaltenborn et al.
2624. **[Causal Discovery and Inference through Next-Token Prediction ↗](https://doi.org/10.52202/085713-2292)**Eivinas Butkus, Nikolaus Kriegeskorte
2625. **[Causal Discovery over Clusters of Variables in Markovian Systems ↗](https://doi.org/10.52202/085713-2904)**Tara V. Anand, Adèle H. Ribeiro, Jin Tian et al.
2626. **[Causal Explanation-Guided Learning for Organ Allocation ↗](https://doi.org/10.52202/085713-5779)**Alessandro Marchese, Jeroen Berrevoets, Sam Verboven
2627. **[Causal LLM Routing: End-to-End Regret Minimization from Observational Data ↗](https://doi.org/10.52202/085713-1252)**Asterios Tsiourvas, Wei Sun, Georgia Perakis
2628. **[Causal Mixture Models: Characterization and Discovery ↗](https://doi.org/10.52202/085713-1511)**Sarah Mameche, Janis Kalofolias, Jilles Vreeken
2629. **[Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration ↗](https://doi.org/10.52202/085713-3650)**Wenjun Wu, Lingling Zhang, Bo Zhao et al.
2630. **[CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models ↗](https://doi.org/10.52202/085713-1349)**Benjamin Herdeanu, Juan Nathaniel, Carla M. Roesch et al.
2631. **[CausalPFN: Amortized Causal Effect Estimation via In-Context Learning ↗](https://doi.org/10.52202/085713-5184)**Vahid Balazadeh Meresht, Hamidreza Kamkari, Valentin Thomas et al.
2632. **[Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems ↗](https://doi.org/10.52202/085713-5311)**Hao Liang, Shuqing Shi, Yudi Zhang et al.
2633. **[CellCLIP - Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning ↗](https://doi.org/10.52202/085713-4150)**MingYu Lu, Ethan Weinberger, Chanwoo Kim et al.
2634. **[Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies ↗](https://doi.org/10.52202/085713-0998)**Vincent Léon, Iosif Sakos, Ryann Sim et al.
2635. **[Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors ↗](https://doi.org/10.52202/085713-5651)**Wen Dong
2636. **[Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions ↗](https://doi.org/10.52202/085713-0696)**Kehan Long, Jorge Cortés, Nikolay Atanasov
2637. **[ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning ↗](https://doi.org/10.52202/085713-0401)**Chau Pham, Juan C. Caicedo, Bryan A. Plummer
2638. **[Chain of Execution Supervision Promotes General Reasoning in Large Language Models ↗](https://doi.org/10.52202/085713-2366)**Nuo Chen, Zehua Li, Keqin Bao et al.
2639. **[Chain-of-Model Learning for Language Model ↗](https://doi.org/10.52202/085713-2672)**Xiaohua Wang, Kaitao Song, Xu Tan et al.
2640. **[Channel Matters: Estimating Channel Influence for Multivariate Time Series ↗](https://doi.org/10.52202/085713-0430)**Muyao Wang, Zeke Xie, Bo Chen et al.
2641. **[Channel Simulation and Distributed Compression with Ensemble Rejection Sampling ↗](https://doi.org/10.52202/085713-1435)**Truong Buu Phan, Ashish J. Khisti
2642. **[Characterization and Learning of Causal Graphs from Hard Interventions ↗](https://doi.org/10.52202/085713-2603)**Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu
2643. **[ChatbotID: Identifying Chatbots with Granger Causality Test ↗](https://doi.org/10.52202/085713-2701)**Xiaoquan Yi, Haozhao Wang, Yining Qi et al.
2644. **[ChemX: A Collection of Chemistry Datasets for Benchmarking Automated Information Extraction ↗](https://doi.org/10.52202/085713-3661)**Anastasia Vepreva, Julia Razlivina, Mariia Eremeyeva et al.
2645. **[Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening ↗](https://doi.org/10.52202/085713-3102)**Piyush Bagad, Andrew Zisserman
2646. **[Class conditional conformal prediction for multiple inputs by p-value aggregation ↗](https://doi.org/10.52202/085713-0623)**Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon
2647. **[Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation ↗](https://doi.org/10.52202/085713-1866)**Jiahuan Zhou, Chao Zhu, Zhenyu Cui et al.
2648. **[Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment ↗](https://doi.org/10.52202/085713-4149)**Samuel (Min-Hsuan) Yeh, Yixuan Li
2649. **[CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing ↗](https://doi.org/10.52202/085713-0050)**Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn et al.
2650. **[ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction ↗](https://doi.org/10.52202/085713-2284)**Ismael Villanueva-Miranda, Zifan Gu, Donghan Yang et al.
2651. **[Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification ↗](https://doi.org/10.52202/085713-5815)**Duo Zhou, Jorge Chavez, Hesun Chen et al.
2652. **[Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models ↗](https://doi.org/10.52202/085713-0140)**Dhruva Karkada, James B. Simon, Yasaman Bahri et al.
2653. **[Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution ↗](https://doi.org/10.52202/085713-3054)**Jacob Lin, Edward Gryspeerdt, Ronald Clark
2654. **[Co-Regularization Enhances Knowledge Transfer in High Dimensions ↗](https://doi.org/10.52202/085713-2886)**Shuo Shuo Liu, Haotian Lin, Matthew L. Reimherr et al.
2655. **[CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model ↗](https://doi.org/10.52202/085713-2384)**Dapeng Zhang, Fei Shen, Rui Zhao et al.
2656. **[CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs ↗](https://doi.org/10.52202/085713-3546)**Roman Vashurin, Maiya Goloburda, Albina Ilina et al.
2657. **[CoFFT: Chain of Foresight-Focus Thought for Visual Language Models ↗](https://doi.org/10.52202/085713-3544)**Xinyu Zhang, Yuxuan Dong, Lingling Zhang et al.
2658. **[CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates ↗](https://doi.org/10.52202/085713-4950)**Tianyu Chen, Vansh Bansal, James G. Scott
2659. **[CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision ↗](https://doi.org/10.52202/085713-0834)**Awni Altabaa, Omar Montasser, John Lafferty
2660. **[CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring ↗](https://doi.org/10.52202/085713-1654)**Benjamin Arnav, Pablo Bernabeu-Pérez, Nathan Helm-Burger et al.
2661. **[CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step ↗](https://doi.org/10.52202/085713-4631)**Zheyuan Liu, Munan Ning, Qihui Zhang et al.
2662. **[CoUn: Empowering Machine Unlearning via Contrastive Learning ↗](https://doi.org/10.52202/085713-4370)**Yasser H. Khalil, Mehdi Setayesh, Hongliang Li
2663. **[Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning ↗](https://doi.org/10.52202/085713-3673)**Younggyo Seo, Pieter Abbeel
2664. **[CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning ↗](https://doi.org/10.52202/085713-4029)**Man Ho Lam, Chaozheng Wang, Jen-Tse Huang et al.
2665. **[CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs ↗](https://doi.org/10.52202/085713-1161)**Gunho Park, Jeongin Bae, Byeongwook Kim et al.
2666. **[CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving ↗](https://doi.org/10.52202/085713-1642)**Huitong Yang, Zhuoxiao Chen, Fengyi Zhang et al.
2667. **[Codifying Character Logic in Role-Playing ↗](https://doi.org/10.52202/085713-0484)**Letian Peng, Jingbo Shang
2668. **[Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning ↗](https://doi.org/10.52202/085713-2812)**Boheng Liu, Ziyu Li, Chenghua Duan et al.
2669. **[Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations ↗](https://doi.org/10.52202/085713-0802)**Ansong Ni, Ruta Desai, Yang Li et al.
2670. **[Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks ↗](https://doi.org/10.52202/085713-3987)**Roberto Gheda, Abele Mălan, Thiago Guzella et al.
2671. **[Collapsing Taylor Mode Automatic Differentiation ↗](https://doi.org/10.52202/085713-4922)**Felix Dangel, Tim Siebert, Marius Zeinhofer et al.
2672. **[Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics ↗](https://doi.org/10.52202/085713-1685)**Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi
2673. **[Coloring Learning for Heterophilic Graph Representation ↗](https://doi.org/10.52202/085713-2684)**Miaomiao Huang, Yuhai Zhao, Daniel Zhengkui Wang et al.
2674. **[ComPO: Preference Alignment via Comparison Oracles ↗](https://doi.org/10.52202/085713-4065)**Peter Chen, Xi Chen, Wotao Yin et al.
2675. **[ComRank: Ranking Loss for Multi-Label Complementary Label Learning ↗](https://doi.org/10.52202/085713-4008)**Jing-Yi Zhu, Yi Gao, Miao Xu et al.
2676. **[Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms ↗](https://doi.org/10.52202/085713-4014)**Ziwei Li, Bo Sun, Zhiqiu Zhang et al.
2677. **[Combining Cost Constrained Runtime Monitors for AI Safety ↗](https://doi.org/10.52202/085713-5416)**Tim Hua, James Baskerville, Henri Lemoine et al.
2678. **[Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms ↗](https://doi.org/10.52202/085713-5677)**Philippe Martin Wyder, Judah Goldfeder, Alexey Yermakov et al.
2679. **[Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism ↗](https://doi.org/10.52202/085713-5601)**Kang Wang, Bohan Li, Kai Yu et al.
2680. **[Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo ↗](https://doi.org/10.52202/085713-3559)**Zachary Charles, Gabriel Teston, Lucio M. Dery et al.
2681. **[Compact Memory for Continual Logistic Regression ↗](https://doi.org/10.52202/085713-1047)**Yohan Jung, Hyungi Lee, Wenlong Chen et al.
2682. **[Comparator-Adaptive Φ-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games ↗](https://doi.org/10.52202/085713-3100)**Soumita Hait, Ping Li, Haipeng Luo et al.
2683. **[Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization ↗](https://doi.org/10.52202/085713-2716)**Marius Potfer, Vianney Perchet
2684. **[Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming ↗](https://doi.org/10.52202/085713-1618)**Alexandra Chouldechova, A. Feder Cooper, Solon Barocas et al.
2685. **[Competitive Advantage Attacks to Decentralized Federated Learning ↗](https://doi.org/10.52202/085713-2884)**Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong
2686. **[Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning ↗](https://doi.org/10.52202/085713-2951)**Haolin Pan, Hongyu Lin, Haoran Luo et al.
2687. **[Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning ↗](https://doi.org/10.52202/085713-5638)**Yang Chen, Yirun Zhou, Weizhong Zhang et al.
2688. **[Complexity Scaling Laws for Neural Models using Combinatorial Optimization ↗](https://doi.org/10.52202/085713-0667)**Lowell Weissman, Michael Krumdick, A. Lynn Abbott
2689. **[Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets ↗](https://doi.org/10.52202/085713-2373)**Yuandong Tian
2690. **[Composing Linear Layers from Irreducibles ↗](https://doi.org/10.52202/085713-4252)**Travis Pence, Daisuke Yamada, Vikas Singh
2691. **[Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data ↗](https://doi.org/10.52202/085713-3095)**Li Kong, Haichuan Wang, Tonghan Wang et al.
2692. **[Composition and Alignment of Diffusion Models using Constrained Learning ↗](https://doi.org/10.52202/085713-0628)**Shervin Khalafi, Ignacio Hounie, Dongsheng Ding et al.
2693. **[Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models ↗](https://doi.org/10.52202/085713-3327)**Samuel Lavoie, Michael Noukhovitch, Aaron C. Courville
2694. **[Compositional Monte Carlo Tree Diffusion for Extendable Planning ↗](https://doi.org/10.52202/085713-4051)**Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn
2695. **[Compositional Neural Network Verification via Assume-Guarantee Reasoning ↗](https://doi.org/10.52202/085713-2151)**Hai Duong, David Shriver, ThanhVu H. Nguyen et al.
2696. **[Compositional Reasoning with Transformers, RNNs, and Chain of Thought ↗](https://doi.org/10.52202/085713-1825)**Gilad Yehudai, Noah Amsel, Joan Bruna
2697. **[Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion models ↗](https://doi.org/10.52202/085713-5671)**Die Chen, Zhiwen Li, Cen Chen et al.
2698. **[Compress & Cache: Vision token compression for efficient generation and retrieval ↗](https://doi.org/10.52202/085713-1073)**Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
2699. **[Compress Large Language Models via Collaboration Between Learning and Matrix Approximation ↗](https://doi.org/10.52202/085713-2027)**Yuesen Liao, Zhiwei Li, Binrui Wu et al.
2700. **[Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers ↗](https://doi.org/10.52202/085713-3353)**Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki et al.

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