Enhancing Accuracy and Reliability of Medical Large Language Models through Hypothesis Knowledge Graph Exploration

The HyKGE framework leverages the reasoning capabilities of large language models to compensate for the incompleteness of user queries, optimize the interaction process, and provide diverse retrieved knowledge from knowledge graphs to improve the accuracy and reliability of medical language model responses.