Progress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive Rewards

In three linesProgress-SQL introduces a multi-turn reinforcement learning framework with progressive rewards for Text-to-SQL generation. The method proposes an Oracle-guided Diagnostic Tree (ODT) that abstracts SQL queries at clause level and provides progressive rewards measuring improvement from initial to final SQL. Evaluated on BIRD, Spider, and robustness variants.

Summary generated by Claude — human-verified