Zexi Kuang

Empirical Grounding Improves the Realism of LLM Agents Simulating Human Behavior During Disruptions

Chen Xia, Zexi Kuang, Yuqing Hu

Large language model (LLM) agents offer a generative approach to simulating human behavior under conditions that may have few or no direct historical analogues, a common challenge in disaster and infrastructure-disruption planning. However, this generative capacity creates a vali…Read more