A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune

Taha Ceritli, Savas Özkan, Jeongwon Min, Eunchung Noh, Cho Min, Mete Ozay. A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune. In Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen, editors, Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024. pages 15819-15836, Association for Computational Linguistics, 2024. [doi]

@inproceedings{CeritliOMNMO24,
  title = {A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune},
  author = {Taha Ceritli and Savas Özkan and Jeongwon Min and Eunchung Noh and Cho Min and Mete Ozay},
  year = {2024},
  url = {https://aclanthology.org/2024.findings-emnlp.929},
  researchr = {https://researchr.org/publication/CeritliOMNMO24},
  cites = {0},
  citedby = {0},
  pages = {15819-15836},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024},
  editor = {Yaser Al-Onaizan and Mohit Bansal and Yun-Nung Chen},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-168-1},
}