SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation
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arXiv
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915253728575488 |
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| author | Zhou, Xuhui Su, Zhe Feng, Sophie Zhou, Jiaxu Huang, Jen-tse Kao, Hsien-Te Lynch, Spencer Volkova, Svitlana Wu, Tongshuang Sherry Woolley, Anita Zhu, Hao Sap, Maarten |
| author_facet | Zhou, Xuhui Su, Zhe Feng, Sophie Zhou, Jiaxu Huang, Jen-tse Kao, Hsien-Te Lynch, Spencer Volkova, Svitlana Wu, Tongshuang Sherry Woolley, Anita Zhu, Hao Sap, Maarten |
| contents | Social simulation through large language model (LLM) agents is a promising approach to explore and validate hypotheses related to social science questions and LLM agents behavior. 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 multi-turn and multi-party LLM-based 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 and multi-party planning scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_16122 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation Zhou, Xuhui Su, Zhe Feng, Sophie Zhou, Jiaxu Huang, Jen-tse Kao, Hsien-Te Lynch, Spencer Volkova, Svitlana Wu, Tongshuang Sherry Woolley, Anita Zhu, Hao Sap, Maarten Computers and Society Artificial Intelligence Social simulation through large language model (LLM) agents is a promising approach to explore and validate hypotheses related to social science questions and LLM agents behavior. 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 multi-turn and multi-party LLM-based 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 and multi-party planning scenarios. |
| title | SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2504.16122 |