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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主要な著者:	Zishun Rui, Shengjie Chen, Shucun Fu, Wenzheng Sun, Shengjun Xue
フォーマット:	Artigo
言語:	Inglês
出版事項:	SpringerOpen 2026-02-01
シリーズ:	Journal of Cloud Computing: Advances, Systems and Applications
主題:	Intelligent cloud services Large language models Natural language processing Knowledge graphs Prompt engineering Subgraph retrieval
オンライン･アクセス:	https://doi.org/10.1186/s13677-026-00855-z
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