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EvoSQL is a co-evolution framework for Text-to-SQL that iteratively improves SQL generation via a generator-critic pair with episodic memory, achieving gains on Spider and BIRD benchmarks.
FD-NL2SQL is a feedback-driven natural language to SQL system for clinical oncology databases that improves with use through clinician edits and logic-based SQL augmentation. The system decomposes natural language questions into predicates, retrieves expert-verified exemplars, and synthesizes executable SQL with continuous learning capabilities.