Leveraging Synthetic Experts to Generate High-Quality Edit Feedback for Improving Factual Accuracy in Clinical Summarization

Utilizing large language models (GPT-3.5 & GPT-4) as synthetic experts to generate high-quality edit feedback, which is then used to improve the factual accuracy of weaker language models (GPT-2 & Llama-2) in clinical summarization tasks.