Hybrid Feature-Embedding Models for Robust AI Text Detection

Kasper Thomas Gartside Knudsen, Christian Hardmeier


Anthology ID:
2025.konvens-1.27
Volume:
Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers
Month:
September
Year:
2025
Address:
Hannover, Germany
Editors:
Christian Wartena, Ulrich Heid
Venue:
KONVENS
SIG:
Publisher:
HsH Applied Academics
Note:
Pages:
318–325
Language:
URL:
https://preview.aclanthology.org/corrections-2025-09/2025.konvens-1.27/
DOI:
Bibkey:
Cite (ACL):
Kasper Thomas Gartside Knudsen and Christian Hardmeier. 2025. Hybrid Feature-Embedding Models for Robust AI Text Detection. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers, pages 318–325, Hannover, Germany. HsH Applied Academics.
Cite (Informal):
Hybrid Feature-Embedding Models for Robust AI Text Detection (Knudsen & Hardmeier, KONVENS 2025)
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PDF:
https://preview.aclanthology.org/corrections-2025-09/2025.konvens-1.27.pdf