An Actor-Critic Approach to Boosting Text-to-SQL Large Language Model

• URL: http://arxiv.org/abs/2410.22082v1
• Date: Mon, 28 Oct 2024 15:22:35 GMT
• Title: An Actor-Critic Approach to Boosting Text-to-SQL Large Language Model
• Authors: Ziyang Zheng, Haipeng Jing, Canyu Rui, Askar Hamdulla, Dong Wang,
• Abstract summary: We propose a simple, general, and performance guaranteed T2S enhancement approach called Actor-Critic (AC) We design two roles using the same large language models (LLMs): an Actor to producesql queries and a Critic to evaluate the producedsql. If the Critic believes the producedsql is wrong, it notifies the Actor to reproduce thesql and perform evaluation again. We conducted extensive experiments on the Spider and related datasets with eleven LLMs, and demonstrated that the Actor-Critic method consistently improves the performance of T2S.
• Score: 7.01795534825797
• License:
• Abstract: Text-To-SQL (T2S) conversion based on large language models (LLMs) has found a wide range of applications, by leveraging the capabilities of LLMs in interpreting the query intent expressed in natural language. Existing research focuses on suitable representations for data schema and/or questions, task-specific instructions and representative examples, and complicated inference pipelines. All these methods are empirical and task specific, without a theoretical bound on performance. In this paper, we propose a simple, general, and performance guaranteed T2S enhancement approach called Actor-Critic (AC). Specifically, we design two roles using the same LLM: an Actor to produce SQL queries and a Critic to evaluate the produced SQL. If the Critic believes the produced SQL is wrong, it notifies the Actor to reproduce the SQL and perform evaluation again. By this simple iterative process, expected performance can be derived in theory. We conducted extensive experiments on the Spider and related datasets with eleven LLMs, and demonstrated that the Actor-Critic method consistently improves the performance of T2S, thus serving as a general enhancement approach for T2S conversion.

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