Mid-training LLMs on subdomain clinical text after general pre-training improves radiology report summarization on ROUGE-L and RadGraph-F1 metrics over direct fine-tuning.
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction,
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Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
Mid-training LLMs on subdomain clinical text after general pre-training improves radiology report summarization on ROUGE-L and RadGraph-F1 metrics over direct fine-tuning.