DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment
Liang Zhu, Feiteng Fang, Yuelin Bai, Longze Chen, Zhexiang Zhang, Minghuan Tan, Min Yang
- Anthology ID:
- 2024.findings-emnlp.898
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2024
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 15318–15331
- Language:
- URL:
- https://preview.aclanthology.org/fix-sig-urls/2024.findings-emnlp.898/
- DOI:
- 10.18653/v1/2024.findings-emnlp.898
- Cite (ACL):
- Liang Zhu, Feiteng Fang, Yuelin Bai, Longze Chen, Zhexiang Zhang, Minghuan Tan, and Min Yang. 2024. DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 15318–15331, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment (Zhu et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/fix-sig-urls/2024.findings-emnlp.898.pdf