KD-GAG: Knowledge-distilled graph-augmented generation via preference-aware subgraph pruning.
Retrieval-Augmented Generation (RAG) methods that integrate external knowledge sources have demonstrated significant effectiveness in addressing the knowledge scarcity and hallucination issues of Large Language Models (LLMs). Compared to traditional approaches relying on documents as knowledge sources, Knowledge Graphs...