Author

Yan-Yan Wang

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Sep 2026

KD-GAG: Knowledge-distilled graph-augmented generation via preference-aware subgraph pruning.

A novel framework KD-GAG is proposed that efficiently constructs KGs by distilling teacher LLMs' semantics and reasoning into a smaller student LLM and a preference-based subgraph pruning method to optimize the retrieval process.

Long Zhao, Yin Xu, Yan-Yan Wang et al. · Neural Networks · 0 citations