@inproceedings{xu-etal-2025-abacus,
title = "Abacus-{SQL}: A Text-to-{SQL} System Empowering Cross-Domain and Open-Domain Database Retrieval",
author = "Xu, Keyan and
Wang, Dingzirui and
Zhang, Xuanliang and
Zhu, Qingfu and
Che, Wanxiang",
editor = "Mishra, Pushkar and
Muresan, Smaranda and
Yu, Tao",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-demo.12/",
doi = "10.18653/v1/2025.acl-demo.12",
pages = "118--128",
ISBN = "979-8-89176-253-4",
abstract = "The existing text-to-SQL systems have made significant progress in SQL query generation, but they still face numerous challenges. Existing systems often lack retrieval capabilities for open-domain databases, requiring users to manually filter relevant databases. Additionally, their cross-domain transferability is limited, making it challenging to accommodate diverse query requirements. To address these issues, we propose Abacus-SQL. Abacus-SQL utilizes database retrieval technology to accurately locate the required databases in an open-domain database environment. It also enhances the system cross-domain transfer ability through data augmentation methods. Moreover, Abacus-SQL employs Pre-SQL and Self-debug methods, thereby enhancing the accuracy of SQL queries. Experimental results demonstrate that Abacus-SQL performs excellently in multi-turn text-to-SQL tasks, effectively validating the approach{'}s effectiveness.Abacus-SQL is publicly accessible at https://huozi.8wss.com/abacus-sql/."
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<abstract>The existing text-to-SQL systems have made significant progress in SQL query generation, but they still face numerous challenges. Existing systems often lack retrieval capabilities for open-domain databases, requiring users to manually filter relevant databases. Additionally, their cross-domain transferability is limited, making it challenging to accommodate diverse query requirements. To address these issues, we propose Abacus-SQL. Abacus-SQL utilizes database retrieval technology to accurately locate the required databases in an open-domain database environment. It also enhances the system cross-domain transfer ability through data augmentation methods. Moreover, Abacus-SQL employs Pre-SQL and Self-debug methods, thereby enhancing the accuracy of SQL queries. Experimental results demonstrate that Abacus-SQL performs excellently in multi-turn text-to-SQL tasks, effectively validating the approach’s effectiveness.Abacus-SQL is publicly accessible at https://huozi.8wss.com/abacus-sql/.</abstract>
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%0 Conference Proceedings
%T Abacus-SQL: A Text-to-SQL System Empowering Cross-Domain and Open-Domain Database Retrieval
%A Xu, Keyan
%A Wang, Dingzirui
%A Zhang, Xuanliang
%A Zhu, Qingfu
%A Che, Wanxiang
%Y Mishra, Pushkar
%Y Muresan, Smaranda
%Y Yu, Tao
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-253-4
%F xu-etal-2025-abacus
%X The existing text-to-SQL systems have made significant progress in SQL query generation, but they still face numerous challenges. Existing systems often lack retrieval capabilities for open-domain databases, requiring users to manually filter relevant databases. Additionally, their cross-domain transferability is limited, making it challenging to accommodate diverse query requirements. To address these issues, we propose Abacus-SQL. Abacus-SQL utilizes database retrieval technology to accurately locate the required databases in an open-domain database environment. It also enhances the system cross-domain transfer ability through data augmentation methods. Moreover, Abacus-SQL employs Pre-SQL and Self-debug methods, thereby enhancing the accuracy of SQL queries. Experimental results demonstrate that Abacus-SQL performs excellently in multi-turn text-to-SQL tasks, effectively validating the approach’s effectiveness.Abacus-SQL is publicly accessible at https://huozi.8wss.com/abacus-sql/.
%R 10.18653/v1/2025.acl-demo.12
%U https://aclanthology.org/2025.acl-demo.12/
%U https://doi.org/10.18653/v1/2025.acl-demo.12
%P 118-128
Markdown (Informal)
[Abacus-SQL: A Text-to-SQL System Empowering Cross-Domain and Open-Domain Database Retrieval](https://aclanthology.org/2025.acl-demo.12/) (Xu et al., ACL 2025)
ACL