most citedAssessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models

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cs.CL2025

AlignFreeze: Navigating the Impact of Realignment on the Layers of Multilingual Models Across Diverse Languages

Steve Bakos, Félix Gaschi, David Guzmán +3

Realignment techniques are often employed to enhance cross-lingual transfer in multilingual language models, still, they can sometimes degrade performance in languages that differ…