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MolErr2Fix: Benchmarking LLM Trustworthiness in Chemistry via Modular Error Detection, Localization, Explanation, and Revision

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Wu, Yuyang, Ye, Jinhui, Zhang, Shuhao, Dai, Lu, Bisk, Yonatan, Isayev, Olexandr
Formato:	Preprint
Publicado:	2025
Materias:	Chemical Physics Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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