Papers by Minggui HE

2 papers
The “Knowledge–Behavior Gap” in Cultural Taboo Safety of Large Language Models (2026.acl-long)

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Challenge: Existing cultural benchmarks assess cultural knowledge or values biases, but ignore cultural taboos.
Approach: They propose a benchmark to evaluate and improve the cultural taboo safety of large language models.
Outcome: The proposed benchmark spans 77 countries and regions, and includes over 2,020 taboos.
The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models (2026.acl-long)

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Challenge: Existing multilingual evaluation benchmarks neglect cultural nuances and lack language coverage in subjective tasks.
Approach: They propose a framework that categorizes evaluation tasks into three cultural layers and nine cognitive sub-layers.
Outcome: The proposed framework surpasses prior coverage by up to 111% on 20+ LLMs.

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