MACReD: A Multi-Agent Collaborative Reasoning Framework for Reaction Diagram Parsing
MACReD, a multi-agent AI framework, advances chemical reaction diagram parsing from scientific literature by achieving 75.2% F1 score on the RxnScribe benchmark—a 6.1 percentage point improvement over existing baselines. The system combines specialized agents for molecular recognition, arrow detection, and text extraction within a unified vision-language model architecture to handle complex spatial layouts in chemistry research documents.