Yixuan Ding

RL-Guider: Leveraging Historical Decisions and Feedback for Drug Editing with Large Language Models

Recent success of large language models (LLMs) in diverse domains showcases their potential to revolutionize scientific fields, including drug editing. Traditional drug editing relies on iterative conversations with domain experts, refining the drug until the desired property is achieved. This inter…