Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain

Isabella Olariu, Cedric Lothritz, Jacques Klein, Tegawendé F. Bissyandé, Siwen Guo, Shohreh Haddadan. Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023. pages 15482-15491, Association for Computational Linguistics, 2023. [doi]

@inproceedings{OlariuLKBGH23,
  title = {Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain},
  author = {Isabella Olariu and Cedric Lothritz and Jacques Klein and Tegawendé F. Bissyandé and Siwen Guo and Shohreh Haddadan},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-emnlp.1035},
  researchr = {https://researchr.org/publication/OlariuLKBGH23},
  cites = {0},
  citedby = {0},
  pages = {15482-15491},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023},
  editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-061-5},
}