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Behavioral History Outperforms Descriptions of the Person for LLM Synthetic Personas
Large language models (LLMs) are increasingly used as synthetic personas representing survey respondents. Their validity as substitutes for particular respondents depends on whether they reproduce individuals' decisions. We examine what information helps synthetic respondents predict each individual
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