In the second phase of MKG evaluation, expert LLMs achieved an 89% accuracy rate when answering complex medical queries requiring multi-hop reasoning, such as managing comorbidities or determining multi-drug treatment protocols.

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)

• multi-hop reasoning concept
• Large Language Models concept
• Medical Knowledge Graph concept