Advancing faithful KBQA services via prompt-driven knowledge graph-enhanced LLMs in cloud

Abstract Large Language Models (LLMs) serve as the core engine of natural language processing capabilities within intelligent cloud services, but their constrained factual stores and ongoing hallucination issues impair effectiveness in intricate reasoning scenarios. Knowledge graphs (KGs), offering...

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Autors principals:	Zishun Rui, Shengjie Chen, Shucun Fu, Wenzheng Sun, Shengjun Xue
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2026-02-01
Col·lecció:	Journal of Cloud Computing: Advances, Systems and Applications
Matèries:	Intelligent cloud services Large language models Natural language processing Knowledge graphs Prompt engineering Subgraph retrieval
Accés en línia:	https://doi.org/10.1186/s13677-026-00855-z
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