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
–arXiv.org 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.
arXiv.org Artificial Intelligence
Apr-24-2025
- Country:
- Asia > China
- Hong Kong (0.04)
- North America > United States
- Florida > Miami-Dade County > Miami (0.04)
- Asia > China
- Genre:
- Research Report (1.00)
- Technology: