COAL-SQL: Coverage-Guided Augmentation and Failure-Driven Learning for Text-to-SQL Post-Training
COAL-SQL is proposed, a unified framework combining Coverage-Guided Augmentation (CGA) and Failure-Driven Learning (FDL) that achieves 64.9% execution accuracy on the BIRD development set and outperforms baselines trained at comparable scale.
Qi-Feng Cai, Xuan-Guang Pan, Hao Liang et al.
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