Summary of A Preview Of Xiyan-sql: a Multi-generator Ensemble Framework For Text-to-sql, by Yingqi Gao et al.
A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL
by Yingqi Gao, Yifu Liu, Xiaoxia Li, Xiaorong Shi, Yin Zhu, Yiming Wang, Shiqi Li, Wei Li, Yuntao Hong, Zhiling Luo, Jinyang Gao, Liyu Mou, Yu Li
First submitted to arxiv on: 13 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Databases (cs.DB); Machine Learning (cs.LG)
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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 introduces XiYan-SQL, a novel framework for natural language to SQL tasks that leverages multi-generator ensembles, semi-structured schema representations, in-context learning, and supervised fine-tuning. The authors propose various training strategies to generate diverse high-quality candidate SQL queries, while also preventing overemphasis on entities through an example selection method based on named entity recognition. A refiner optimizes each candidate by correcting logical or syntactical errors. To identify the best candidate, a selection model is fine-tuned to distinguish nuances of candidate SQL queries. Experimental results demonstrate XiYan-SQL’s robustness across different scenarios, achieving state-of-the-art execution accuracy on multiple dialect datasets. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a new tool called XiYan-SQL that helps computers understand and write SQL code better. It uses a special way to combine different ideas and train the model to make good decisions. The authors also came up with ways to correct mistakes and choose the best solution. They tested it on many datasets and showed that it works really well, even better than other methods. |
Keywords
» Artificial intelligence » Fine tuning » Named entity recognition » Supervised
