Summary of Enhancing Text-to-sql Capabilities Of Large Language Models Via Domain Database Knowledge Injection, by Xingyu Ma et al.
Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection
by Xingyu Ma, Xin Tian, Lingxiang Wu, Xuepeng Wang, Xueming Tang, Jinqiao Wang
First submitted to arxiv on: 24 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper focuses on enhancing Large Language Models’ (LLMs) abilities in the Text-to-SQL subtask by injecting domain-specific database knowledge. The current LLMs struggle with hallucination issues and lack of schema understanding, leading to errors in generating table names, columns, and matching values. To address this, the authors introduce a method of prior knowledge incorporation, which improves performance in Text-to-SQL tasks. Experimental results demonstrate significant improvements in Execution Match (EX) and Exact Match (EM) metrics across various models, reducing column name generation and value matching errors. The proposed approach can be applied to multiple downstream Text-to-SQL tasks, showcasing its generalizability. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps computers better understand database information by giving them special knowledge about how databases are structured. Right now, these computers (called Large Language Models) often make mistakes when trying to turn text into SQL code because they don’t fully understand what a database looks like. The authors of this paper found a way to teach these computers more about databases, which makes them much better at turning text into SQL code. This new method works really well and can be used for many different tasks. |
Keywords
» Artificial intelligence » Hallucination
