VeriPIE: Checkable Query Plans and Evidence-Guided Selection for Text-to-SQL
Financial Artificial Intelligence (AI) governance and model risk management (MRM) emphasize independent validation, transparency, and effective challenge of AI-generated computations. Text-to-SQL translates natural-language questions into Structured Query Language (SQL), but queries that agree on one database can still express different computations. We present VeriPIE, a neurosymbolic framework combining language-model generation with symbolic checks. It ensembles direct SQL generation with QuerySketch, a structured plan language checked by a backend implemented in Lean, a theorem prover and programming language. Plan diagnostics guide repair before SQL generation, while execution agreem...
| Authors | Piyush Jha, Cruise Song, Zhengyu Li et al. |
|---|---|
| Primary category | cs.LO |
| Published | 12 October 2026 |
| Last updated at source | 12 October 2026 |
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