CCBENCH: Assessing LLM Cultural Competence via Implicitly Signaled Norms using Health Queries
To interact with users fairly and without stereotyping, AI models must display cultural competency, i.e., the ability to infer and adapt to a user's implicitly signaled cultural values, rather than relying on static demographic traits. We introduce CCBENCH, a framework for evaluating cultural competency in large language models (LLMs), treating culture as a continuum of norm adherence states rather than as a binary state of cultural belongingness. As a case study on health, we create CCBENCH-Health, which includes 60 theoretically grounded personas exhibiting varied norm-adherence states across six cultures, each engaging in 18 realistic dialogues. Each persona is evaluated on 52 authenti...
| Authors | Vasudha Varadarajan, Akhila Yerukola, Mona T. Diab et al. |
|---|---|
| Primary category | cs.CY |
| Published | 8 June 2026 |
| Last updated at source | 8 June 2026 |
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