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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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Principais autores: Zishun Rui, Shengjie Chen, Shucun Fu, Wenzheng Sun, Shengjun Xue
Format: Artigo
Sprog:Inglês
Udgivet: SpringerOpen 2026-02-01
Serier:Journal of Cloud Computing: Advances, Systems and Applications
Fag:
Intelligent cloud services
Large language models
Natural language processing
Knowledge graphs
Prompt engineering
Subgraph retrieval
Online adgang:https://doi.org/10.1186/s13677-026-00855-z
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