arXiv (All)
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LLMs as survey respondents: Comparison to simple semantic baselines
Large language models (LLMs) have been explored as surrogates for human survey respondents. A more promising application is data augmentation, where LLMs predict new responses from partial human data. However, the semantic similarity between questionnaire items is a known source of correlation betwe
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