FuxiMT combines a frozen BLOOMz model with sparse mixture-of-experts layers, Chinese-first pretraining, and curriculum learning to translate into Chinese from 65 languages, with claimed low-resource gains that the paper does not reliably support.
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FuxiMT: Sparsifying Large Language Models for Chinese-Centric Multilingual Machine Translation
FuxiMT combines a frozen BLOOMz model with sparse mixture-of-experts layers, Chinese-first pretraining, and curriculum learning to translate into Chinese from 65 languages, with claimed low-resource gains that the paper does not reliably support.