@inproceedings{zhang-etal-2025-actionstudio,
    title = "{A}ction{S}tudio: A Lightweight Framework for Data and Training of Large Action Models",
    author = "Zhang, Jianguo  and
      Hoang, Thai Quoc  and
      Zhu, Ming  and
      Liu, Zuxin  and
      Wang, Shiyu  and
      Awalgaonkar, Tulika Manoj  and
      Prabhakar, Akshara  and
      Chen, Haolin  and
      Yao, Weiran  and
      Liu, Zhiwei  and
      Tan, Juntao  and
      Niebles, Juan Carlos  and
      Heinecke, Shelby  and
      Wang, Huan  and
      Savarese, Silvio  and
      Xiong, Caiming",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.1090/",
    pages = "21499--21513",
    ISBN = "979-8-89176-332-6"
}