Papers
CoMatcher: Multi-View Collaborative Feature Matching
Jintao Zhang, Zimin Xia, Mingyue Dong et al.
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning
Shengqiong Wu, Hao Fei, Liangming Pan et al.
Combating Phone Scams with LLM-based Detection: Where Do We Stand? (Student Abstract)
Zitong Shen, Kangzhong Wang, Youqian Zhang et al.
Combating Semantic Contamination in Learning with Label Noise
Wenxiao Fan, Kan Li
Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection
Ziqing Fan, Siyuan Du, Shengchao Hu et al.
CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games
Peng Chen, Pi Bu, Yingyao Wang et al.
Combinative Matching for Geometric Shape Assembly
Nahyuk Lee, Juhong Min, Junhong Lee et al.
Combining Automated and Manual Data for Effective Downstream Fine-Tuning of Transformers for Low-Resource Language Applications
Ulyana Isaeva, Danil Astafurov, Nikita Martynov
Combining Climate Models using Bayesian Regression Trees and Random Paths
John C. Yannotty, Thomas J. Santner, Bo Li et al.
Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games
Yoram Bachrach, Edan Toledo, Karen Hambardzumyan et al.
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling
Zun Li, Marc Lanctot, Kevin R. McKee et al.
Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs
Megh Thakkar, Quentin Fournier, Matthew Riemer et al.
Combining Extractive and Generative Methods for Legal Summarization: Tayronas Trigrams at JUST-NLP 2025
Erich Giusseppe Soto Parada, Carlos Manuel Muñoz Almeida, David Cuevas Alba
Combining Extractive and Generative Methods for Legal Summarization: Tayronas Trigrams at JUST-NLP 2025
Erich Giusseppe Soto Parada, Carlos Manuel Muñoz Almeida, David Cuevas Alba
Combining Induction and Transduction for Abstract Reasoning
Wen-Ding Li, Keya Hu, Carter Larsen et al.
Combining Inherent Knowledge of Vision-Language Models with Unsupervised Domain Adaptation through Strong-Weak Guidance
Thomas Westfechtel, Dexuan Zhang, Tatsuya Harada
Combining MORL with Restraining Bolts to Learn Normative Behaviour
Emery A. Neufeld, Agata Ciabattoni, Radu Florin Tulcan
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
Jinzong Dong, Zhaohui Jiang, Dong Pan et al.
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation
Zhanglin Wu, Daimeng Wei, Xiaoyu Chen et al.
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
Hongxin Zhang, Zeyuan Wang, Qiushi Lyu et al.
CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
Kai Fang, Anqi Zhang, Guangyu Gao et al.
COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier
Gaoxiang Luo, Aryan Deshwal
CoME: An Unlearning-based Approach to Conflict-free Model Editing
Dahyun Jung, Jaehyung Seo, Jaewook Lee et al.
CoMeDi Shared Task: Median Judgment Classification & Mean Disagreement Ranking with Ordinal Word-in-Context Judgments
Dominik Schlechtweg, Tejaswi Choppa, Wei Zhao et al.