3 papers
cs.CL2026
SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning
Tao Liu, Tao Feng, Xiangheng Li +9
Recent Text-to-SQL systems increasingly rely on multi-turn interaction, execution feedback, and reinforcement learning. However, most existing methods use execution correctness onl…
cs.CL2026
IESR:Efficient MCTS-Based Modular Reasoning for Text-to-SQL with Large Language Models
Tao Liu, Jiafan Lu, Bohan Yu +11
Text-to-SQL is a key natural language processing task that maps natural language questions to SQL queries, enabling intuitive interaction with web-based databases. Although current…
cs.CL2025
LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning
Tao Liu, Xutao Mao, Hongying Zan +12
Text-to-SQL is a critical task in natural language processing that aims to transform natural language questions into accurate and executable SQL queries. In real-world scenarios, t…