@inproceedings{lin-etal-2024-battleagent,
    title = "{B}attle{A}gent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis",
    author = "Lin, Shuhang  and
      Hua, Wenyue  and
      Li, Lingyao  and
      Chang, Che-Jui  and
      Fan, Lizhou  and
      Ji, Jianchao  and
      Hua, Hang  and
      Jin, Mingyu  and
      Luo, Jiebo  and
      Zhang, Yongfeng",
    editor = "Hernandez Farias, Delia Irazu  and
      Hope, Tom  and
      Li, Manling",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.emnlp-demo.18/",
    doi = "10.18653/v1/2024.emnlp-demo.18",
    pages = "172--181",
    abstract = "This paper presents \textbf{BattleAgent}, a detailed emulation demonstration system that combines the Large Vision-Language Model (VLM) and Multi-Agent System (MAS). This novel system aims to emulate complex dynamic interactions among multiple agents, as well as between agents and their environments, over a period of time. The emulation showcases the current capabilities of agents, featuring fine-grained multi-modal interactions between agents and landscapes. It develops customizable agent structures to meet specific situational requirements, for example, a variety of battle-related activities like scouting and trench digging. These components collaborate to recreate historical events in a lively and comprehensive manner. This methodology holds the potential to substantially improve visualization of historical events and deepen our understanding of historical events especially from the perspective of decision making. The data and code for this project are accessible at \url{https://github.com/agiresearch/battleagent} and the demo is accessible at \url{https://drive.google.com/file/d/1I5B3KWiYCSSP1uMiPGNmXlTmild-MzRJ/view?usp=sharing}."
}