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%0 Conference Proceedings
%T Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level
%A Zhong, Ruiqi
%A Ghosh, Dhruba
%A Klein, Dan
%A Steinhardt, Jacob
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F zhong-etal-2021-larger
%R 10.18653/v1/2021.findings-acl.334
%U https://aclanthology.org/2021.findings-acl.334
%U https://doi.org/10.18653/v1/2021.findings-acl.334
%P 3813-3827

Markdown (Informal)

[Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level](https://aclanthology.org/2021.findings-acl.334) (Zhong et al., Findings 2021)

• Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level (Zhong et al., Findings 2021)

ACL

• Ruiqi Zhong, Dhruba Ghosh, Dan Klein, and Jacob Steinhardt. 2021. Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3813–3827, Online. Association for Computational Linguistics.