On hard multi-table text-to-SQL, verification-based LLM judges beat self-consistency and log-probability for predicting execution correctness, and fine-tuned verifiers fail to transfer across schemas.
Spider 2.0: Evaluating language models on real-world enterprise text-to-sql workflows
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What Predicts Correctness in Text-to-SQL? A Selective-Prediction Study
On hard multi-table text-to-SQL, verification-based LLM judges beat self-consistency and log-probability for predicting execution correctness, and fine-tuned verifiers fail to transfer across schemas.