Papers with pretrained transformer-based language models

1 papers
Robust Transfer Learning with Pretrained Language Models through Adapters (2021.acl-short)

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Challenge: Existing approaches to transfer learning with pretrained transformer-based language models are not robust and can be adversarial.
Approach: They propose a simple yet effective adapter-based approach to fine-tune language models on downstream tasks.
Outcome: The proposed approach improves stability and adversarial robustness in transfer learning to various downstream tasks.

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