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Found 2 papers, 2 papers with code
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model
Adversarial texts help explore vulnerabilities in language models, improve model robustness, and explain their working mechanisms.
RoChBert: Towards Robust BERT Fine-tuning for Chinese
Despite of the superb performance on a wide range of tasks, pre-trained language models (e. g., BERT) have been proved vulnerable to adversarial texts.
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