MetaKGEnrich improves LLM answer quality by 80-87% on three QA datasets through graph-metric detection of knowledge gaps followed by targeted web retrieval and GraphRAG augmentation.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Enhancing Metacognitive AI: Knowledge-Graph Population with Graph-Theoretic LLM Enrichment
MetaKGEnrich improves LLM answer quality by 80-87% on three QA datasets through graph-metric detection of knowledge gaps followed by targeted web retrieval and GraphRAG augmentation.