DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment

Liang Zhu; Feiteng Fang; Yuelin Bai; Longze Chen; Zhexiang Zhang; Minghuan Tan; Min Yang

doi:10.18653/v1/2024.findings-emnlp.898

DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment

Liang Zhu, Feiteng Fang, Yuelin Bai, Longze Chen, Zhexiang Zhang, Minghuan Tan, Min Yang

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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
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URL:: https://aclanthology.org/2024.findings-emnlp.898/
DOI:: 10.18653/v1/2024.findings-emnlp.898
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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)
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PDF:: https://aclanthology.org/2024.findings-emnlp.898.pdf

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@inproceedings{zhu-etal-2024-deft,
    title = "{DEFT}: Distribution-guided Efficient Fine-Tuning for Human Alignment",
    author = "Zhu, Liang  and
      Fang, Feiteng  and
      Bai, Yuelin  and
      Chen, Longze  and
      Zhang, Zhexiang  and
      Tan, Minghuan  and
      Yang, Min",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.findings-emnlp.898/",
    doi = "10.18653/v1/2024.findings-emnlp.898",
    pages = "15318--15331"
}

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%0 Conference Proceedings
%T DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment
%A Zhu, Liang
%A Fang, Feiteng
%A Bai, Yuelin
%A Chen, Longze
%A Zhang, Zhexiang
%A Tan, Minghuan
%A Yang, Min
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F zhu-etal-2024-deft
%R 10.18653/v1/2024.findings-emnlp.898
%U https://aclanthology.org/2024.findings-emnlp.898/
%U https://doi.org/10.18653/v1/2024.findings-emnlp.898
%P 15318-15331

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Markdown (Informal)

[DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment](https://aclanthology.org/2024.findings-emnlp.898/) (Zhu et al., Findings 2024)

DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment (Zhu et al., Findings 2024)

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.