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Younghwan Gil

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Open access Sep 2026

Cross‐lingual safety asymmetry in open‐weight LLMs

Safety alignment in large language models is overwhelmingly trained on English data, yet models are deployed across typologically diverse languages. We evaluate six open‐weight large language models (LLMs) across 17 bilingual Korean/Chinese prompt conditions and three translation engines (NLLB‐200, Gemini 3.0 Pro, an...

Sungwon Chae, Younghwan Gil · 0 citations

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