Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment

Noah Hampp; Katya Mirylenka; Michael Glass

Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment

Noah Hampp, Katya Mirylenka, Michael Glass

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Anthology ID:: 2026.swisstext-1.5
Volume:: Proceedings of the 11th Edition of the Swiss Text Analytics Conference
Month:: June
Year:: 2026
Address:: Zurich, Switzerland
Editors:: Rico Sennrich, Gerold Schneider, Tilia Ellendorff, Yingqiang Gao, Jannis Vamvas, Mark Cieliebak
Venue:: SwissText
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 63–74
Language:
URL:: https://aclanthology.org/2026.swisstext-1.5/
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Bibkey:
Cite (ACL):: Noah Hampp, Katya Mirylenka, and Michael Glass. 2026. Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment. In Proceedings of the 11th Edition of the Swiss Text Analytics Conference, pages 63–74, Zurich, Switzerland. Association for Computational Linguistics.
Cite (Informal):: Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment (Hampp et al., SwissText 2026)
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PDF:: https://aclanthology.org/2026.swisstext-1.5.pdf

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@inproceedings{hampp-etal-2026-optimizing,
    title = "Optimizing Large Language Models for Robust Domain-Specific Text-to-{SQL}: From Prompting to Preference Alignment",
    author = "Hampp, Noah  and
      Mirylenka, Katya  and
      Glass, Michael",
    editor = "Sennrich, Rico  and
      Schneider, Gerold  and
      Ellendorff, Tilia  and
      Gao, Yingqiang  and
      Vamvas, Jannis  and
      Cieliebak, Mark",
    booktitle = "Proceedings of the 11th Edition of the {S}wiss Text Analytics Conference",
    month = jun,
    year = "2026",
    address = "Zurich, Switzerland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.swisstext-1.5/",
    pages = "63--74"
}

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%0 Conference Proceedings
%T Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment
%A Hampp, Noah
%A Mirylenka, Katya
%A Glass, Michael
%Y Sennrich, Rico
%Y Schneider, Gerold
%Y Ellendorff, Tilia
%Y Gao, Yingqiang
%Y Vamvas, Jannis
%Y Cieliebak, Mark
%S Proceedings of the 11th Edition of the Swiss Text Analytics Conference
%D 2026
%8 June
%I Association for Computational Linguistics
%C Zurich, Switzerland
%F hampp-etal-2026-optimizing
%U https://aclanthology.org/2026.swisstext-1.5/
%P 63-74

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Markdown (Informal)

[Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment](https://aclanthology.org/2026.swisstext-1.5/) (Hampp et al., SwissText 2026)

Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment (Hampp et al., SwissText 2026)

ACL

Noah Hampp, Katya Mirylenka, and Michael Glass. 2026. Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment. In Proceedings of the 11th Edition of the Swiss Text Analytics Conference, pages 63–74, Zurich, Switzerland. Association for Computational Linguistics.