<ul><li>Text-to-SQL is a challenging task involving multiple reasoning-intensive subtasks, and existing approaches often rely on handcrafted reasoning paths.</li><li>A novel set of partial rewards tailored for the Text-to-SQL task is proposed, which addresses the reward sparsity issue in reinforcement learning (RL).</li><li>The proposed rewards include schema-linking, AI feedback, n-gram similarity, and syntax check to enhance reasoning capabilities and generalization.</li><li>RL-only training with the proposed rewards achieves higher accuracy and superior generalization compared to supervised fine-tuning (SFT) approaches.</li></ul>

Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

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