The Epi-LLM Framework: probing LLM behavioral priors through epidemiological agent-based models 事件

The Epi-LLM Framework: probing LLM behavioral priors through epidemiological agent-based models arXiv:2606.02867v1 Announce Type: cross Abstract: Human behaviour during epidemics affects infectious disease dynamics, but quantifying this remains deeply challenging. Here we introduce the Epi-LLM framework: a novel integration of agent-based modelling, real-life epigames, and large language models (LLMs) in which a synthetic society of agents reasons and adapts dynamically over an outbreak contact