AI RESEARCH
Agent-Agnostic Evaluation of SQL Accuracy in Production Text-to-SQL Systems
arXiv CS.AI
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ArXi:2604.28049v1 Announce Type: new Text-to-SQL (T2SQL) evaluation in production environments poses fundamental challenges that existing benchmarks do not address. Current evaluation methodologies whether rule-based SQL matching or schema-dependent semantic parsers assume access to ground-truth queries and structured database schema, constraints that are rarely satisfied in real-world deployments. This disconnect leaves production T2SQL agents largely unevaluated beyond developer-time testing, creating silent quality degradation with no feedback mechanism for continuous improvement.