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+ Pretrained models for our paper
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+ ```bibtex
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+ @inproceedings{wu-etal-2022-continued,
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+ title = "Continued Pretraining for Better Zero- and Few-Shot Promptability",
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+ author = "Zhaofeng Wu and Robert L. Logan IV and Pete Walsh and Akshita Bhagia and Dirk Groeneveld and Sameer Singh and Iz Beltagy",
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+ booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
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+ month = dec,
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+ year = "2022",
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+ publisher = "Association for Computational Linguistics",
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+ }
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+ ```
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+
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+ Please see the "Files and versions" tab for the models. We release our MTL models (notated MTL-T🔥P🔥 in our paper) and the meta-learned models, with different sizes and prompt configurations.