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What Drives Recovery in Agentic Text-to-Cypher? LAST-CQ: An LLM Agent Self-Refinement Framework

Prokopiou, Ioannis et al.
arXiv (OAI Expanded) · Papers
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computation-and-languagemachine-learningmultiagent-systemssoftware-engineering
Agentic pipelines for structured-query generation are rapidly expanding, but it is unclear which part of the loop produces the gain. We use LAST-CQ -- a five-agent, training-free, execution-grounded Text-to-Cypher framework -- as an instrumented testbed, running three counterfactuals over 2,471 live
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