Cited by 1,243Topic ModelingNatural Language Processing TechniquesMultimodal Machine Learning Applications

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Self-Instruct: Aligning Language Models with Self-Generated Instructions

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Wang, Yizhong, Kordi, Yeganeh, Mishra, Swaroop, Liu, Alisa, Smith, Noah A., Khashabi, Daniel, Hajishirzi, Hannaneh·2023·Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

DOI 10.18653/v1/2023.acl-long.754

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Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.

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Authors: Wang, Y., Kordi, Y., Mishra, S., Liu, A., Smith, N. A., Khashabi, D., & Hajishirzi, H.
Affiliations: Johns Hopkins University (US)
Corresponding author: Wang, Yizhong
ORCID: Kordi, Yeganeh
Mishra, Swaroop
Liu, Alisa
Smith, Noah A.
Khashabi, Daniel
Hajishirzi, Hannaneh
Venue: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Publisher: Association for Computational Linguistics
Published: 2023
Pages: 13484-13508
ISSN: 0736-587X (ISSN-L)
DOI: 10.18653/v1/2023.acl-long.754
OpenAlex: W4385572634
Cited by: 1,243
References: 39
Citations by year: 2026: 317 · 2025: 435 · 2024: 345 · 2023: 145
FWCI: 196.73
Type: conference paper
Language: en
Open access: hybrid
doi.org
Licence: cc-by
Locations: Proceedings of the conference - Association for Computational Linguistics. Meeting (publishedVersion, cc-by)
arXiv (Cornell University) (submittedVersion)
arXiv (Cornell University) (cc-by)
Funders: Defense Advanced Research Projects Agency (N66001-19-2-4031, N66001-19)
Multidisciplinary University Research Initiative
Office of Naval Research (N00014‐18‐1‐2670, N00014-18-1-2826, MURI N00014-18-1-2670, N00014)
Naval Information Warfare Center Pacific
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
Keywords: self-education, language model alignment, instruction tuning, self-supervised learning, large language models

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Self-Instruct: Aligning Language Models with Self-Generated Instructions

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