Evaluating Neural Networks’ Ability to Generalize against Adversarial Attacks in Cross-Lingual Settings

Cross-lingual transfer learning using multilingual models has shown promise for improving performance on natural language processing tasks with limited training data. However, translation can introduce superficial patterns that negatively impact model generalization. This paper evaluates two state-o...

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書誌詳細

主要な著者:	Vidhu Mathur, Tanvi Dadu, Swati Aggarwal
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-06-01
シリーズ:	Applied Sciences
主題:	cross-lingual NLP multilingual models adversarial attacks XLM roberta mBART
オンライン･アクセス:	https://www.mdpi.com/2076-3417/14/13/5440
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