id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hij-969	Zhang, Sai; Fan, Xiaoxuan; Song, Bochuan; Liang, Xiao; Zhang, Qiang; Wang, Zhihao; Zhang, Bo	Research on RAG-Based Cognitive Large Language Model Training Method for Power Standard Knowledge	2025	11	.pdf	application/pdf	6761	357	48	Overall, the proposed method of transforming triples into natural language text not only helps large language models (LLMs) better understand supplementary knowledge provided by external sources, but also effectively enhances their reasoning and question-answering capabilities for complex knowledge graphs, significantly improving their performance in knowledge graph question answering (KGQA) tasks. Their experimental results demonstrate that combining RAG with knowledge graphs significantly enhances performance in knowledge-based question-answering tasks; Xu et al.	cache/hij-969.pdf	txt/hij-969.txt