EC3_paper.pdf
收藏DataCite Commons2025-05-01 更新2025-05-07 收录
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https://figshare.com/articles/dataset/EC3_paper_pdf/28771409/1
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资源简介：
In this research, we utilise the capabilities of LLMs to parse the IFC data with Graph Retrieval-Augmented Generation (Graph-RAG) technique to retrieve building object properties and their relations. We will show that, despite limitations due to the complex hierarchy of the IFC data, the Graph-RAG parsing enhances generative LLMs like GPT-4o with graph-based knowledge, enabling natural language query-response retrieval without the need for a complex pipeline.
提供机构：
figshare
创建时间：
2025-04-10
