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Due to the superior performance, large-scale pre-trained language models (PLMs) have been widely adopted in many aspects of human society.
Gender bias in contextualized word embeddings
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Language models are few-shot learners
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Investigating african-american vernacular english in transformer-based text generation
Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza, and William Yang Wang. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
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Investigating gender bias in BERT
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Making pre-trained language models better few-shot learners
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