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Digital Twin

Structured Survey Histories Improve LLM Respondent Twins

US & West ·

The study tests BDE, a fixed representation organizing each respondent's survey history into Background, Decision procedure, and Evaluation. On Twin-2K-500 across 17 held-out tasks, an inferred profile improved accuracy by 1.19 to 1.27 percentage points over the raw transcript.

Why it matters

Indicates that representation structure matters more than data volume for behavioral twins, a practical lesson for designing data stores and feature models.

Relevant to DT products

Original headline
Structuring Survey Histories for LLM Digital Twins: A Controlled Study of Background, Decision Procedure, and Evaluation Profiles
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Digital Twins for Clinical Development: A Five-Level Framework from Prognostic Adjustment to In-Silico Trials

Digital twins are increasingly discussed in drug development, often narrowly as virtual control arms or synthetic data. We propose a broader framework for data-driven clinical digital twins, organized into five levels according to how much of the trial data matrix of baseline covariates, treatment…

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