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Edu-Theater is a data-efficient agent framework that uses LLM-powered generative agents to simulate learner behavior in educational settings. It employs a cohort-aware roll-call paradigm to infer learner states with fewer data and computational resources, achieving higher simulation accuracy.
This paper introduces a validation framework to evaluate whether LLM-based urban simulators reproduce empirical human mobility patterns. Using data from Paris and Shanghai, the authors find a substantial gap between plausible narratives and realistic mobility constraints, and provide open infrastructure for reproducible evaluation.