Fine-Tuning Large Language Models for Clinical Natural Language Processing Tasks: Comparing Supervised Fine-Tuning and Direct Parameter Optimization

Supervised Fine-Tuning (SFT) alone is sufficient for text-based Classification tasks, while Direct Parameter Optimization (DPO) improves performance for more complex clinical NLP tasks like Triage, Clinical Reasoning, and Summarization.