RAS conditions each new Cypher query attempt on prior execution errors through ICL and reduces execution error rate by 41-50% at n=5 versus 32-38% for independent scaling across three Neo4j datasets and five models.
InProceedings of the 2013 Conference on Empirical Methods in Natural Lan- guage Processing, pages 1533–1544
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query Generation
RAS conditions each new Cypher query attempt on prior execution errors through ICL and reduces execution error rate by 41-50% at n=5 versus 32-38% for independent scaling across three Neo4j datasets and five models.