Көптілді модельдер

material ID: massivelymultilingualmodels

Related Papers

Too Brittle to Touch: Comparing the Stability of Quantization and Distillation towards Developing Low-Resource MT Models

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractLeveraging shared learning through Massively Multilingual Models, state-of-the-art Machine translation (MT) models are often able to adapt to the paucity of data for low-resource languages. However, this performance comes at …...

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