Papers
Multi-agent In-context Coordination via Decentralized Memory Retrieval
Tao Jiang, Zichuan Lin, Lihe Li et al.
Multi-Agent Path Finding with Unassigned Agents (MAPFUA)
Ariel Felner, Roni Stern
Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems
Zengyu Zou, Jingyuan Wang, Yixuan Huang et al.
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
Wangyang Ying, Yanchi Liu, Xujiang Zhao et al.
Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time Scaling
Florian Valentin Wunderlich, Lars Benedikt Kaesberg, Jan Philip Wahle et al.
Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets
Matan Levy, Itay Segev, Alexander Tuisov et al.
Multi-Agent Undercover Gaming: Hallucination Removal Through Counterfactual Test for Multimodal Reasoning
Dayong Liang, Xiao-Yong Wei, Changmeng Zheng
Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection
Han Wang, Deyi Ji, Junyu Lu et al.
Multi-Armed Bandits Meet Large Language Models
Djallel Bouneffouf, Raphael Feraud
Multi-Aspect Cross-modal Quantization for Generative Recommendation
Fuwei Zhang, Xiaoyu Liu, Dongbo Xi et al.
MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains
Leyan Xue, Changqing Zhang, Kecheng Xue et al.
MulTiCast: A Multimodal Time Series Forecasting System
Sehyuk Park, Caren Han, Hyunsuk Chung
Multicenter Morphometric Analysis of Stratum Corneum Nanotexture for Skin Barrier Assessment
Jen-Hung Wang, Chia-Yu Chu, Felipe Colombelli et al.
Multi-component Causal Tracing in Large Language Models
Zirui Yan, Dennis Wei, Dmitriy A Katz et al.
Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World Modeling
Ayan Sar, Pranav Singh Puri, Sumit Aich et al.
MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models
Martin Hyben, Sebastian Kula, Jan Cegin et al.
Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection
Zhaowei Liu, Leilei Jiang, Haitao Yang
Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces
Kaixi Tian, Shengjia Zhao, Yuhan Zhang et al.
Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality
Guanghui Wang, Umar Syed, Robert E. Schapire et al.
Multi-District School Choice: Playing on Several Fields
Yannai A. Gonczarowski, Michael Yin, Shirley Zhang
Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models
Yijun Yang, Lichao Wang, Jianping Zhang et al.
Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation
Yuxi Lin, Yongkang Li, Jie Xing et al.
MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application
Xueqing Peng, Lingfei Qian, Yan Wang et al.
Multi-Grained Text-Guided Image Fusion for Multi-Exposure and Multi-Focus Scenarios
Mingwei Tang, Jiahao Nie, Guang Yang et al.