Language-Induced Priors from LLMs guide source selection in cold-start domain adaptation through an EM algorithm, matching oracle MSE under a correct prior and remaining asymptotically consistent.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=
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Audits miscalibration in LLM-based social science measurements across 14 constructs and proposes a soft label distillation pipeline that reduces ECE by 43.2% and Brier score by 34.0% on average.
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Assessing and Mitigating Miscalibration in LLM-Based Social Science Measurement
Audits miscalibration in LLM-based social science measurements across 14 constructs and proposes a soft label distillation pipeline that reduces ECE by 43.2% and Brier score by 34.0% on average.