arXiv (OAI Expanded)
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Uncertainty-Aware Calibrated Clinical Text Classification with Large Language Models
Large language models are increasingly used for clinical text classification, where overconfident misclassifications can directly affect patient care. Existing black-box uncertainty methods attach a confidence score to a fixed LLM prediction using softmax probabilities, verbalised confidence, prompt
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