Self-prompting combined with QLoRA and DPO on small open-weight models yields micro F1 scores up to 0.864 on clinical named entity recognition from 1,200 dental notes.
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Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction
Self-prompting combined with QLoRA and DPO on small open-weight models yields micro F1 scores up to 0.864 on clinical named entity recognition from 1,200 dental notes.