Record link: 
http://hdl.handle.net/20.500.12708/230647
-
Title: 
Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment
en
Citation: 
Hampp, N., Mirylenka, K., & Glass, M. (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 (pp. 64–75). Association for Computational Linguistics.
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Hampp, Noah 
Mirylenka, Katsiaryna 
Glass, Michael 
-
Organisational Unit: 
E194-07 - Forschungsbereich Data Management 
-
Published in: 
Proceedings of the 11th Edition of the Swiss Text Analytics Conference 
-
Date (published): 
2026
-
Event name: 
11th Swiss Text Analytics Conference (SwissText 2026) 
en
Event date: 
10-Jun-2026
-
Event place: 
Zürich, Switzerland
-
Number of Pages: 
12
-
Publisher: 
Association for Computational Linguistics
-
Peer reviewed: 
Yes
-
Keywords: 
LLM; Text-to-SQL; NL2SQL
en
Research Areas: 
Logic and Computation: 20%
Information Systems Engineering: 80%
-
Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

7
checked on Sep 8, 2026

Google ScholarTM

Check