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Researchers developed an open-source Chinese dataset to evaluate Large Language Model safeguards, revealing that region-specific cultural and political sensitivities are critical determinants of safety performance, particularly for models not aligned with these contexts, and demonstrating LLMs' vulnerability to subtly disguised harmful prompts.