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.
Charlie Snell, Jaehoon Lee, Kelvin Xu, and Aviral Ku- mar
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
The paper introduces ClinQueryAgent, a conversational agent that converts natural language queries into database queries for population health management while keeping patient data secure, and reports its use by 128 staff across 15 NHS practices covering 148,319 patients.
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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.
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ClinQueryAgent: A Conversational Agent for Population Health Management
The paper introduces ClinQueryAgent, a conversational agent that converts natural language queries into database queries for population health management while keeping patient data secure, and reports its use by 128 staff across 15 NHS practices covering 148,319 patients.