Papers by Xiao Zinan

1 papers
MonCulture-Eval: A Hierarchical Benchmark for Evaluating Mongolian Cultural Capabilities of Large Language Models across Scripts and Regions (2026.findings-acl)

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Challenge: Large Language Models excel at multilingual translation and instruction-following in low-resource settings like Tibetan, but lack cultural intelligence quantification.
Approach: They propose a benchmark to assess the cultural intelligence of Large Language Models in Mongolia . they use a three-layer cognitive hierarchy and specialized tasks to assess their cultural intelligence .
Outcome: The monCulture-Eval benchmark assesses the cultural intelligence of large language models in the Mongolian context across two writing systems and three regional sub-cultures.

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