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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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Автори: Zishun Rui, Shengjie Chen, Shucun Fu, Wenzheng Sun, Shengjun Xue
Формат: Artigo
Мова:Inglês
Опубліковано: SpringerOpen 2026-02-01
Серія:Journal of Cloud Computing: Advances, Systems and Applications
Предмети:
Intelligent cloud services
Large language models
Natural language processing
Knowledge graphs
Prompt engineering
Subgraph retrieval
Онлайн доступ:https://doi.org/10.1186/s13677-026-00855-z
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