The AMG-RAG framework achieved an F1 score of 74.1% on the MEDQA benchmark and an accuracy of 66.34% on the MEDMCQA benchmark, outperforming comparable models and models 10 to 100 times larger.

Authors

• Person: Not available Organization: arXiv
  Bridging the Gap Between LLMs and Evolving Medical Knowledge

Sources

• Bridging the Gap Between LLMs and Evolving Medical Knowledge arxiv.org arXiv via serper

Referenced by nodes (3)

• AMG-RAG concept
• MEDQA concept
• MEDMCQA concept