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Peijian Zeng

2 accepted papers

2025

Rethinking Vocabulary Augmentation: Addressing the Challenges of Low-Resource Languages in Multilingual Models

COLING 2025main

The performance of multilingual language models (MLLMs) is notably inferior for low-resource languages (LRL) compared to high-resource ones, primarily due to the limited available corpus during the pre-training phase. This inadequacy stems from the under-representation of low-resource language words…

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