2024
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets
COLING 2024main
Multilingual Language Models (MLLMs) exhibit robust cross-lingual transfer capabilities, or the ability to leverage information acquired in a source language and apply it to a target language. These capabilities find practical applications in well-established Natural Language Processing (NLP) tasks…