Measuring Self-Rating Bias in LLM-Generated Survey Data: A Semantic Similarity Framework for Independent Scale Mapping
arXiv:2602.13862v2 Announce Type: replace Abstract: Synthetic survey data generated by large language models (LLMs) suffers from a fundamental circularity: the same model family that generates text responses also maps them to numerical scales. We calibrate and validate Semanti...
🔗 Read more: https://arxiv.org/abs/2602.13862
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