Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts 事件

Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts arXiv:2602.03545v2 Announce Type: replace Abstract: Evaluating AI systems that interact with humans requires understanding their behavior across diverse user populations, but collecting representative human data is often expensive or infeasible, particularly for novel technologies or hypothetical future scenarios. Recent work in Generative Agent-Based Modeling has shown that large language models can simulate human