Teaching Language Models Mechanistic Explainability Through MechSMILES
This paper introduces MechSMILES, a novel framework that trains language models to predict chemical reaction mechanisms via arrow-pushing formalism, thereby enabling physically valid, atom-conserving, and explainable Computer-Assisted Synthesis Planning with high accuracy and rapid adaptability to new reaction classes.