arXiv Machine Learning June 15, 2026 By Yuxin Zhang, Meihao Fan, Ju Fan, Mingyang Yi, Yuyu Luo, Guoliang Li, Bin Wu, Wenchao Zhou

Reward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards

Read the original on arXiv Machine Learning →

arXiv:2505. 04671v3 Announce Type: replace-cross Abstract: Recent advances in large language models (LLMs) trained with reinforcement learning (RL) have improved Text-to-SQL performance.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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

ProcessThinker: Enhancing Multi-modal Large Language Models Reasoning via Rollout-based Process Reward

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