Trustworthy Molecular AI: Multi-dimensional Validation of LLM Generated Chemical Descriptions
This work sets foundations for trustworthy AI in chemistry, providing quality assurance infrastructure necessary for deploying LLMs in high-stakes applications that carry material consequences, by integrating grammatical fluency and lexical validity checking, RDKit -based computational chemistry validation, and DrugBank verification.