Author

G. Farano

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Jun 2026

Test-Time Verification for Text-to-SQL via Outcome Reward Models

It is demonstrated that ORM-based verification provides a simple, effective, and scalable alternative to heuristic test-time selection strategies for Text-to-SQL, and that ORMs scale effectively with larger candidate sets and yield stronger improvements on complex queries.

M. Tritto, G. Farano, Dario Di Palma et al. · arXiv.org · 1 citation · ⚡1

Open access Jul 2026

GradeSQL: Outcome reward models for intelligent Text-to-SQL generation from LLMs

As Large Language Models (LLMs) become foundational to next-generation Intelligent Information Systems, the bridge between natural language interfaces and structured database systems remains a critical bottleneck. While Text-to-SQL generation enables cooperative support for complex query formulation, ensuring the rel...

M. Tritto, G. Farano, Dario Di Palma et al. · Journal of Intelligence and... · 2 citations