Comparison on Large Language Model augmented Knowledge Graph Query Answering
收藏DataCite Commons2023-07-30 更新2025-04-16 收录
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https://orkg.org/comparison/R603438/
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资源简介：
Knowledge graph question answering (KGQA) providing answers to natural language questions based on the structured information stored in knowledge graphs. Recently, studies are adopting LLMs to bridge the gap between natural language questions and structured knowledge graphs. This comparison will explore the models for Knowledge Graph Query Answering.
创建时间：
2023-07-30
