- Anthology ID:
- 2025.konvens-1.29
- 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:
- 333–348
- Language:
- URL:
- https://preview.aclanthology.org/info-author-pages/2025.konvens-1.29/
- DOI:
- Cite (ACL):
- Jonas Rieger, Mattes Ruckdeschel, and Gregor Wiedemann. 2025. PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers, pages 333–348, Hannover, Germany. HsH Applied Academics.
- Cite (Informal):
- PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning (Rieger et al., KONVENS 2025)
- PDF:
- https://preview.aclanthology.org/info-author-pages/2025.konvens-1.29.pdf