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            <namePart type="family">Sadat Moosavi</namePart>
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%0 Conference Proceedings
%T Prompting language models improves performance in imbalanced setting
%A Mohta, Jay
%Y Sadat Moosavi, Nafise
%Y Gurevych, Iryna
%Y Hou, Yufang
%Y Kim, Gyuwan
%Y Kim, Young Jin
%Y Schuster, Tal
%Y Agrawal, Ameeta
%S Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada (Hybrid)
%F mohta-2023-prompting
%R 10.18653/v1/2023.sustainlp-1.14
%U https://aclanthology.org/2023.sustainlp-1.14
%U https://doi.org/10.18653/v1/2023.sustainlp-1.14
%P 201-211

Markdown (Informal)

[Prompting language models improves performance in imbalanced setting](https://aclanthology.org/2023.sustainlp-1.14) (Mohta, sustainlp 2023)

• Prompting language models improves performance in imbalanced setting (Mohta, sustainlp 2023)

ACL

• Jay Mohta. 2023. Prompting language models improves performance in imbalanced setting. In Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pages 201–211, Toronto, Canada (Hybrid). Association for Computational Linguistics.