MCTS-SQL: Light-Weight LLMs can Master the Text-to-SQL through Monte Carlo Tree Search

Understand

Text-to-SQL is a fundamental yet challenging task in the NLP area, aiming at translating natural language questions into SQL queries.

• While recent advances in large language models have greatly improved performance, most existing approaches depend on models with tens of billions of parameters or costly APIs, limiting their applicability in resource-constrained environments.
• For real world, especially on edge devices, it is crucial for Text-to-SQL to ensure cost-effectiveness.
• Therefore, enabling the light-weight models for Text-to-SQL is of great practical significance.