Papers
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
The Viet Bui, Thanh Hong Nguyen, Tien Anh Mai
CoMapGS: Covisibility Map-based Gaussian Splatting for Sparse Novel View Synthesis
Youngkyoon Jang, Eduardo Pérez-Pellitero
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning
Joshua Ong Jun Leang, Aryo Pradipta Gema, Shay B Cohen
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching
Zizhuo Li, Yifan Lu, Linfeng Tang et al.
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.
CombiMOTS: Combinatorial Multi-Objective Tree Search for Dual-Target Molecule Generation
Thibaud Southiratn, Bonil Koo, Yijingxiu Lu et al.
Combinative Matching for Geometric Shape Assembly
Nahyuk Lee, Juhong Min, Junhong Lee et al.
Combinatorial Reinforcement Learning with Preference Feedback
Joongkyu Lee, Min-Hwan Oh
Combining Automated and Manual Data for Effective Downstream Fine-Tuning of Transformers for Low-Resource Language Applications
Ulyana Isaeva, Danil Astafurov, Nikita Martynov
Combining Causal Models for More Accurate Abstractions of Neural Networks
Theodora-Mara Pîslar, Sara Magliacane, Atticus Geiger
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