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arXiv — cs.AI

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标题为英语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…

arXiv — cs.AI作者: Khashayar Pourtaheri, Ahmad Zareei2026年10月6日 (10月6日)
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  • 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…
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Behavioral History Outperforms Descriptions of the Person for LLM Synthetic Personas

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