How Naver’s HyperCLOVA X Advances Multilingual AI for Asian Languages

South Korean internet giant Naver announced last week a series of large language models called “HyperCLOVA X”.

The company claims the model outperforms others in cross‑lingual reasoning for Asian languages, which could help develop sovereign LLMs in the region.

Naver revealed HyperCLOVA X’s Korean debut, and an English technical report on arXiv evaluated the model, stating that “we believe HyperCLOVA X, with its competitiveness beyond English and Korean, can provide useful guidance for regions to develop their own sovereign large language models.”

HyperCLOVA X was pretrained on data comprising Korean, multilingual text, and code snippets.

The multilingual subset is primarily English but also includes other major languages such as Japanese, German and French.

Korean material makes up about one‑third of the pretraining data, indicating Naver’s focus on improving performance for its native language while accounting for Korean’s unique grammar.

Naver claims the result is a model “naturally proficient in Korean and English.”

The models demonstrate “multilingual ability”, the capacity to work in languages beyond those seen during training.

According to the analysis, HyperCLOVA X not only extends its reasoning abilities beyond its primary target languages but also achieves state‑of‑the‑art machine translation performance between Korean and non‑target languages such as Japanese and Chinese.

The technical report further notes the model’s impressive multilingual capability, including cross‑language conversion between Korean and English, where instruction tuning in one language can trigger instruction‑following behavior in the other.

Multilingual test results suggest HyperCLOVA X can transfer to under‑represented Asian languages in the pretraining data.