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cs.CL2026
Not What, But How: A Framework for Auditing LLM Responses across Positioning, Generalization, Anthropomorphism, and Maxims
Siddhesh Milind Pawar, Sarah Masud, Haneul Yoo +2
Large language models (LLMs) are being increasingly used to answer subjective, information-seeking questions, where users are sensitive to how responses are communicated, not just…
cs.CL2026
Scenario-based Probing and Steering Cultural Values in Large Language Models--Extended Version
Trung Duc Anh Dang, Tung Kieu, Sarah Masud
Large Language Models (LLMs) are deployed across cultural contexts but often reflect homogenized values inherited from training data. Evaluations of cultural alignment typically re…
cs.CL2026
Cultural Value Alignment Via Latent Activation Steering in Large Language Models
Trung Duc Anh Dang, Sarah Masud
Large Language Models (LLMs) often exhibit homogenized cultural perspectives. While the World Values Survey (WVS) provides a gold standard for mapping human values, traditional dir…