AI Research

    Structuring Survey Histories for LLM Digital Twins: A Controlled Study of Background, Decision Procedure, and Evaluation Profiles

    A controlled study examines how survey histories shape LLM-based predictions of individual responses

    LLM-based digital twins aim to predict how individuals would respond in new settings from representations of their prior responses.

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    ArXiv CS.CL

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    ArXiv CS.CL
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    Digital twins built from language models are intended to anticipate individual responses in unfamiliar settings. How prior responses are organized and evaluated may matter for assessing those predictions.

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