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03/19/2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model
Recently, the problem of robustness of pre-trained language models (PrLM...
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08/29/2021
Span Fine-tuning for Pre-trained Language Models
Pre-trained language models (PrLM) have to carefully manage input units ...
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05/30/2021
Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice
Pre-trained contextualized language models (PrLMs) have led to strong pe...
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12/30/2020