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English is Not All You Need: Systematically Exploring the Role of Multilinguality in LLM Post-Training

Dhaliwal, Mehak et al.
arXiv (All) · Papers
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computation-and-language
Despite the widespread multilingual deployment of large language models, post-training pipelines remain predominantly English-centric, contributing to performance disparities across languages. We present a systematic, controlled study of the interplay between training language coverage, model scale,
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