STEF is a schema-agnostic evaluation framework that scores SQL generation accuracy from natural language inputs using semantic feature alignment and a composite metric.
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Agent-Agnostic Evaluation of SQL Accuracy in Production Text-to-SQL Systems
STEF is a schema-agnostic evaluation framework that scores SQL generation accuracy from natural language inputs using semantic feature alignment and a composite metric.