Jan. 28, 2024, 9:50 p.m. | Mohammad Arshad

MarkTechPost www.marktechpost.com

Language models (LMs) often struggle with reasoning tasks like math or coding, particularly in low-resource languages. This challenge arises because LMs are primarily trained on data from a few high-resource languages, leaving low-resource languages underrepresented.  Previously, researchers have addressed this by continually training English-centric LMs on target languages. However, this method is difficult to scale […]


The post Researchers from KAIST and the University of Washington have introduced ‘LANGBRIDGE’: A Zero-Shot AI Approach to Adapt Language Models for Multilingual Reasoning …

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