@inproceedings{rieger-etal-2025-petapter,
title = "{PET}apter: Leveraging {PET}-style classification heads for modular few-shot parameter-efficient fine-tuning",
author = "Rieger, Jonas and
Ruckdeschel, Mattes and
Wiedemann, Gregor",
editor = "Wartena, Christian and
Heid, Ulrich",
booktitle = "Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers",
month = sep,
year = "2025",
address = "Hannover, Germany",
publisher = "HsH Applied Academics",
url = "https://preview.aclanthology.org/corrections-2025-09/2025.konvens-1.29/",
pages = "333--348"
}
Markdown (Informal)
[PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning](https://preview.aclanthology.org/corrections-2025-09/2025.konvens-1.29/) (Rieger et al., KONVENS 2025)
ACL