@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://preview.aclanthology.org/ingestion-acl-25/2025.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/."
}