Article

Fine-Tuning LLaMA2 for Summarizing Discharge Notes: Evaluating the Role of Highlighted Information

2025-07-23

Abstract excerpt

<title>Abstract</title> <p><bold>Purpose: </bold>This study investigates whether incorporating highlighted information in discharge notes improves the quality of the summaries generated by Large Language Models (LLMs). Specifically, it evaluates the effect of using highlighted versus unhighlighted inputs for fine-tuning LLaMA2-13B model for the summarization task. <bold>Methods: </bold>We fine-tuned the LlaMA2-13...

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Literature Corpus work: 02e151d7-008b-58fa-be70-edd3f3871519
DOI: 10.21203/rs.3.rs-7181141/v1

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