@inproceedings{zhou-etal-2025-sotopia,
    title = "{SOTOPIA}-S4: a user-friendly system for flexible, customizable, and large-scale social simulation",
    author = "Zhou, Xuhui  and
      Su, Zhe  and
      Feng, Sophie  and
      Zhou, Jiaxu  and
      Huang, Jen-tse  and
      Kao, Hsien-Te  and
      Lynch, Spencer  and
      Volkova, Svitlana  and
      Wu, Tongshuang  and
      Woolley, Anita  and
      Zhu, Hao  and
      Sap, Maarten",
    editor = "Dziri, Nouha  and
      Ren, Sean (Xiang)  and
      Diao, Shizhe",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.naacl-demo.30/",
    pages = "350--360",
    ISBN = "979-8-89176-191-9",
    abstract = "Social simulation through large language model (LLM) agents is a promising approach to explore and validate social science hypotheses.We present SOTOPIA-S4, a fast, flexible, and scalable social simulation system that addresses the technical barriers of current frameworks while enabling practitioners to generate realistic, multi-turn and multi-party interactions with customizable evaluation metrics for hypothesis testing. SOTOPIA-S4 comes as a pip package that contains a simulation engine, an API server with flexible RESTful APIs for simulation management, and a web interface that enables both technical and non-technical users to design, run, and analyze simulations without programming. We demonstrate the usefulness of SOTOPIA-S4 with two use cases involving dyadic hiring negotiation scenarios and multi-party planning scenarios."
}