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English(EN) CHS-SQL: A Text-to-SQL approach based on Confidence-Guided Heuristic Search Schema Linking process

新的CHS-SQL框架提高了SLM Text-to-SQL的准确性

研究人员开发了CHS-SQL,一个用于在Text-to-SQL任务上微调小型语言模型(SLMs)的新框架。该方法侧重于通过结合启发式搜索和模型的内部置信度来优化模式链接阶段,以平衡精确率和召回率。该方法旨在通过最大化相关的模式候选并抑制不相关的信息来提高SQL的准确性,最终在Text-to-SQL方面为SLMs取得最先进的成果。 AI

影响 这项研究可以利用更小、更易于访问的模型,实现更高效、更安全的功能。

排序理由 详细介绍Text-to-SQL新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的CHS-SQL框架提高了SLM Text-to-SQL的准确性

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详细介绍Text-to-SQL新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Minghao Yang, Yanjun Xu ·

    CHS-SQL:一种基于置信度引导启发式搜索模式链接过程的文本到SQL方法

    arXiv:2607.22624v1 Announce Type: new Abstract: Recently, there have been several works in the Text-to-SQL domain that utilize Small Language Models (SLMs) for training. These approaches achieve performance close to that of large models in generating SQL, using only the computati…