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Xiangyang Wu

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Jul 2026

GraphQAG: A Knowledge-Graph-Guided Visual Analytics Framework for Question-Answer Pairs Generation

GraphQAG effectively supports users in identifying knowledge coverage gaps, examining generated QA pairs, and refining the QA pair set through graph-based interactions, demonstrating the usefulness of combining knowledge graphs, LLM-based generation, and visual analytics for producing more comprehensive and trustworthy QA pairs from long documents.

Yize Li, Ruiqi Yu, Tianya Pan et al. · 0 citations

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