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A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?, Xinyu Liu, Shuyu Shen, Boyan Li, Peixian Ma, Runzhi Jiang, Yuxin Zhang, Ju Fan, Guoliang Li, Nan Tang, Yuyu Luo. (2024). arXiv: 2408.05109v6
From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems, Ali Mohammadjafari, Anthony S. Maida, Raju Gottumukkala. (2024). arXiv: 2410.01066v1
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End-to-end NL→SQL pipeline using LLMs to generate, execute, and refine SQL queries from natural language questions. Features schema-aware prompting, self-correction loops based on execution feedback, retrieval-augmented schema selection for large databases, and benchmark-based evaluation of query accuracy and execution success.