Authors define EASE as a modular architecture for LLM multi-agent simulations, implement it in the SiliSocS sandbox, and illustrate its use via three case studies on research questions in generated social scenarios.
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation
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EASE Configuration Facilitates A Reproducible Science of LLM Social Simulations
Authors define EASE as a modular architecture for LLM multi-agent simulations, implement it in the SiliSocS sandbox, and illustrate its use via three case studies on research questions in generated social scenarios.