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Evidence record 5153 · automatically gathered

Agent-Agnostic Evaluation of SQL Accuracy in Production Text-to-SQL Systems

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 w

Record details

Published: 30 April 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (30 April 2026), “Agent-Agnostic Evaluation of SQL Accuracy in Production Text-to-SQL Systems,” evidence record 5153, https://ethics.ai/record/5153 (originally published by arXiv).

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