Beyond Raw Transcripts: Structured Persona Extraction for LLM-Based Digital Twins

Not provided in the abstract

structured dataLLMdigital twinspersona extraction

2608.20344

Builder Relevance

80%

2h ago

Abstract

This paper explores how the organization of persona information impacts the predictive accuracy of LLM-based digital twins.

Reality Card

Core Claim

The study demonstrates that structured persona representations improve predictive accuracy by +1.91 percentage points over raw transcripts in homogeneous tasks.

Method / Result

An automatic structure-discovery pipeline improved mean accuracy by +1.91 percentage points over the raw transcript baseline across diverse tasks.

Limitations

The fixed schema does not generalize across heterogeneous tasks, leading to performance indistinguishable from the raw transcript baseline.

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