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Anchoring LLM Gender Bias to Human Baselines: A Cross-Lingual Audit

arXiv cs.CL · 2026-06-01 Cached

This paper audits six large language models for gender stereotyping across English, Korean, Chinese, and Japanese, anchoring against human baselines. It finds that LLM stereotyping often exceeds human cross-country variation and can compound across languages, introducing a four-pattern framework to characterize such behaviors.

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