Author

Dixuan Zhang

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Preprint Aug 2026

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning

This work proposes SERL-SQL, a selective execution-grounded reinforcement learning framework for multi-turn Text-to-SQL agents, showing that SERL-SQL produces high-quality candidates that can be reliably identified by lightweight execution-grounded rewards.

Tao Liu, Tao Feng, Xiangheng Li et al. · 0 citations