Papers
MULSUM: A Multimodal Summarization System with Vis-Aligner and Diversity-Aware Image Selection
Abid Ali, Diego Molla, Usman Naseem
Multi-Agent Corridor Reasoning for Multi-Agent Path Finding
Yiran Ni, Deshi Ye
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 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
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-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.
Multi-Grained Text-Guided Image Fusion for Multi-Exposure and Multi-Focus Scenarios
Mingwei Tang, Jiahao Nie, Guang Yang et al.
Multigranular Evaluation for Brain Visual Decoding
Weihao Xia, Cengiz Oztireli
Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation
Ming Li, Zihao Yan, Yuting Chen et al.
Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation
Yangyi Fang, Haolin Shi
Multi-granularity Interactive Attention Framework for Residual Hierarchical Pronunciation Assessment
Hong Han, Hao-Chen Pei, Zhao-Zheng Nie et al.
Multi-granularity Temporal Knowledge Editing over Large Language Models
Simiao Zhao, Ning Pang, Zhen Tan et al.