Flow-of-Options (FoO) is a novel approach that enables LLMs to explore diverse reasoning paths, reducing biases and improving outcomes in complex tasks.

• Achieved 38-69% improvement on standard data science tasks
• Delivered 37-48% improvement on therapeutic chemistry applications
• Creates more thorough problem-solving by systematically exploring multiple solution paths
• Demonstrated effectiveness through an autonomous AutoML system

This research has significant implications for medical applications by enhancing LLM reasoning for drug discovery, therapeutic chemistry, and clinical decision support, potentially accelerating pharmaceutical research and improving treatment outcomes.

Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options