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

Progress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive Rewards arXiv:2606.06825v1 Announce Type: new Abstract: Reinforcement learning has recently shown promise in improving large language models for Text-to-SQL generation, yet existing methods typically optimize one-shot rewards defined over a single SQL state. Such rewards provide limited guidance for iterative SQL correction and are insufficient to capture the improvement of multi-turn SQL refinement. In this paper, w