@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://aclanthology.org/2025.naacl-demo.30/",
doi = "10.18653/v1/2025.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."
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<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.</abstract>
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%0 Conference Proceedings
%T SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation
%A Zhou, Xuhui
%A Su, Zhe
%A Feng, Sophie
%A Zhou, Jiaxu
%A Huang, Jen-tse
%A Kao, Hsien-Te
%A Lynch, Spencer
%A Volkova, Svitlana
%A Wu, Tongshuang
%A Woolley, Anita
%A Zhu, Hao
%A Sap, Maarten
%Y Dziri, Nouha
%Y Ren, Sean (Xiang)
%Y Diao, Shizhe
%S Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)
%D 2025
%8 April
%I Association for Computational Linguistics
%C Albuquerque, New Mexico
%@ 979-8-89176-191-9
%F zhou-etal-2025-sotopia
%X 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.
%R 10.18653/v1/2025.naacl-demo.30
%U https://aclanthology.org/2025.naacl-demo.30/
%U https://doi.org/10.18653/v1/2025.naacl-demo.30
%P 350-360
Markdown (Informal)
[SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation](https://aclanthology.org/2025.naacl-demo.30/) (Zhou et al., NAACL 2025)
ACL
- Xuhui Zhou, Zhe Su, Sophie Feng, Jiaxu Zhou, Jen-tse Huang, Hsien-Te Kao, Spencer Lynch, Svitlana Volkova, Tongshuang Wu, Anita Woolley, Hao Zhu, and Maarten Sap. 2025. SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations), pages 350–360, Albuquerque, New Mexico. Association for Computational Linguistics.