Fine-tuned LLMs using the mof2text textual descriptor match graph-based models at detecting unreasonable metal-organic framework structures and add explainable error diagnostics.
(b) Distribution of error types in unreasonable MOFs determined by manual inspection (True) and predicted by fine-tuned Llama3-8B (FT-Llama3-R)
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Chemically Meaningful Textualization Enables Explainable Validation of Metal-Organic Frameworks by Large Language Models
Fine-tuned LLMs using the mof2text textual descriptor match graph-based models at detecting unreasonable metal-organic framework structures and add explainable error diagnostics.