Structured Querying Language

Structured Query Language (SQL) is a crucial tool for interacting with databases, and recent research focuses on automating the translation of natural language queries into SQL using large language models (LLMs). Current efforts center on improving the accuracy and efficiency of these LLMs, often through techniques like incorporating structural information from both the query and database schema, and employing feedback mechanisms based on SQL quality metrics and execution results. This research aims to make database interaction more accessible to non-experts, with significant implications for data analysis and management across various fields.