KERAG improves knowledge-graph question answering by retrieving broad entity neighborhoods instead of exact query paths and using a fine-tuned chain-of-thought summarizer.
InProceedings of the 58th annual meeting of the as- sociation for computational linguistics, pages 4498– 4507
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
KERAG improves knowledge-graph question answering by retrieving broad entity neighborhoods instead of exact query paths and using a fine-tuned chain-of-thought summarizer.