An evolving Vulnerability Codex plus hypothesis-driven perturbations exposes latent Text-to-SQL failures in LLMs far better than fixed expert rules, with transferable patterns and early remediation gains.
Pi- SQL : Enhancing Text-to- SQL with Fine-Grained Guidance from Pivot Programming Languages
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Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL
An evolving Vulnerability Codex plus hypothesis-driven perturbations exposes latent Text-to-SQL failures in LLMs far better than fixed expert rules, with transferable patterns and early remediation gains.