Author

Markus Strohmaier

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Review Sep 2026

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

Large Language models (LLMs), having been trained on vast amounts of human-generated data, may encode the attitudes and behaviors of these humans. As such, LLMs show promise in mimicking human-like patterns that facilitate their use in simulating people in a wide variety of contexts. One such context is using LLMs as's...

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. · 2 citations