AI RESEARCH
SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis
arXiv CS.AI
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ArXi:2604.21414v1 Announce Type: new Existing text-to-SQL synthesis pipelines still conflate executability with semantic validity: syntactic checks and execution-based validation can retain queries that execute successfully while violating database semantics. To address these limitations, we propose SemanticAgent, a semantic-aware synthesis framework. SemanticAgent organizes synthesis around three specialized modules: an analyzer, a synthesizer, and a verifier.