@inproceedings{chao-etal-2025-llmxmapreduce,
    title = "{LLM}$\times${M}ap{R}educe-V3: Enabling Interactive In-Depth Survey Generation through a {MCP}-Driven Hierarchically Modular Agent System",
    author = "Chao, Yu  and
      Lin, Siyu  and
      Wang, Xiaorong  and
      Zhang, Zhu  and
      Zhou, Zihan  and
      Wang, Haoyu  and
      Wang, Shuo  and
      Zhou, Jie  and
      Liu, Zhiyuan  and
      Sun, Maosong",
    editor = {Habernal, Ivan  and
      Schulam, Peter  and
      Tiedemann, J{\"o}rg},
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-demos.51/",
    pages = "688--695",
    ISBN = "979-8-89176-334-0"
}