Papers with MoleculeQA

1 papers
MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension (2024.findings-emnlp)

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Challenge: Existing models generate erroneous information and evaluations fail to assess factual correctness of models.
Approach: They propose to use MoleculeQA to evaluate molecular factual correctness in large language models by organizing molecules into a taxonomy and building QA pairs through human and LLM efforts.
Outcome: The proposed model improves the factual correctness of generated information and enables the development of new models.

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