arxiv Preprint – Extrapolating Large Language Models to Non-English by Aligning Languages

In this episode we discuss Extrapolating Large Language Models to Non-English by Aligning Languages
by Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, Fei Yuan, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li. The paper proposes a method to improve the language abilities of large language models (LLMs) in non-English languages. They achieve this by creating semantic alignment between English and non-English languages. The authors demonstrate through experiments that the cross-lingual models outperform their English counterparts by a significant margin, particularly in Chinese humanities tasks. They also find that incorporating non-English text in the translation task data is highly effective in enhancing non-English ability.