Author

Markus Strohmaier

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Review Sep 2026

Total Simulated Survey Error: Designing and Diagnosing Survey Responses from Large Language Models

A framework that enumerates conceptual errors and systematic biases that can occur at different stages of the survey simulation lifecycle is designed, called the Total Simulated Survey Error (TS2E) Framework, which provides a unified and end-to-end perspective on LLM-generated survey data.

Indira Sen, Georg Ahnert, Leah von der Heyde et al. · 0 citations

#natural language process... Review Sep 2026

When Persona Attributes Improve Population Alignment in Large Language Models

It is proposed that observed human response variation of a survey question is a potential explanation for the mixed performance observed so far in persona prompting and new insights are provided on the effectiveness of different attribute selection methods for LLM-based survey prediction using persona prompting.

Leon Fröhling, Jens Rupprecht, Markus Strohmaier et al. · 3 citations