Sqlsure, a deterministic semantic checker for AI-generated SQL, catches logical errors like double-counted revenue and exposed patient identifiers that databases and linters miss. The tool, which runs…
A study on text-to-SQL systems found that verification-based signals, such as LLM judges, outperform black-box signals like self-consistency in predicting query correctness, with a two-provider ensemb…
Researchers introduced Outcome Reward Models (ORMs) for Text-to-SQL verification, using semantic scoring to outperform traditional heuristics. Their GradeSQL framework automates candidate generation a…
Researchers introduced GradeSQL, a framework for training Outcome Reward Models (ORMs) to improve test-time verification in Text-to-SQL tasks. ORM-based selection outperformed execution-based Best-of-…
Google Research's Gemini-SQL2, built on Gemini 3.1 Pro, achieved 80.04 percent accuracy on the BIRD text-to-SQL benchmark, surpassing OpenAI and Anthropic. The technology aims to enhance natural langu…
Google Research announced Gemini-SQL2, a text-to-SQL capability powered by Gemini 3.1 Pro, which achieved 80.04% execution accuracy on the BIRD Single-Model Leaderboard, surpassing its predecessor Gem…
Researchers introduced EnterpriseMem-Bench, a multi-turn Text-to-SQL benchmark of 300 sessions and 1,400 queries built from three enterprise domains, to evaluate how five frontier AI models handle mem…