Experiments show that i-MedRAG outperforms standard RAG approaches on complex questions from the United States Medical Licensing Examination (USMLE) and Massive Multitask Language Understanding (MMLU) datasets, according to Xiong et al. (2024).

Authors

• Person: Not available Organization: medRxiv
  Medical Hallucination in Foundation Models and Their ...

Sources

• Medical Hallucination in Foundation Models and Their ... www.medrxiv.org medRxiv via serper

Referenced by nodes (1)

• Retrieval-Augmented Generation (RAG) concept