Abstract: High-quality question generation is crucial for ensuring the fairness and validity of examinations. To address the challenges of data scarcity and semantic complexity in automatic question ...
Abstract: This paper aims to construct a knowledge graph-enhanced power system fault diagnosis question-answering system based on Retrieval-Augmented Generation (RAG), addressing challenges in power ...