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Knowledge Graph Combined with Retrieval-Augmented Generation for Enhancing LMs Reasoning: A Survey

A survey on integrating knowledge graphs with retrieval-augmented generation to enhance large language models' reasoning abilities.

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Knowledge Graph Combined with Retrieval-Augmented Generation for Enhancing LMs Reasoning: A Survey

By Haitao Wang, Yangkun ShiAcademic Journal of Science and Technology
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The paper surveys research on combining knowledge graphs with retrieval-augmented generation (RAG) to improve large language models' (LLMs') reasoning. It reviews current technical approaches and discusses challenges and future trends in this field.

The integrated approach aims to enhance LLMs' knowledge representation and reasoning abilities.

Abstract

The paper surveys research on combining knowledge graphs with retrieval-augmented generation (RAG) to improve large language models' (LLMs') reasoning. It reviews current technical approaches and discusses challenges and future trends in this field. The integrated approach aims to enhance LLMs' knowledge representation and reasoning abilities.

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knowledge graphretrieval-augmented generationlarge language modelsreasoning abilitiesnatural language processingartificial intelligenceKnowledge GraphsLarge Language ModelsRetrieval & RAGSemantic Interoperability
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