Kuan-Ru Liou

GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs

Large Language Models (LLMs) have become integral to human decision-making processes. However, their outputs are not always reliable, often requiring users to assess the accuracy of the information provided manually. This issue is exacerbated by hallucinated responses, which are frequently presented