Xiao Huang
2 indexed papers
Recent (6 mo)
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226
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NLP×2AI×1Multiagent×1
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2026
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
LegalGraphRAG introduces a multi-agent, hierarchical graph retrieval-augmented generation framework to overcome the limitations of traditional RAG in legal domains, achieving state-of-the-art reliable legal reasoning.
MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation
MoG proposes a novel Mixture of Experts framework for graph-based RAG, which uses hub graphs to guide the sparse activation of domain-specific expert graphs, significantly improving retrieval accuracy.
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Papers
cs.CLRecentMay 29, 2026
MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation
Zheng Yuan, Chuang Zhou, Linhao Luo, Siyu An +3 more
MoG proposes a novel Mixture of Experts framework for graph-based RAG, which uses hub graphs to guide the sparse activation of domain-specific expert graphs, significantly improving retrieval accuracy…
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cs.CLcs.AIcs.MARecentMay 27, 2026