Cultural Misalignment in Large Language Models: Detection, Measurement, and Mitigation Through Targeted Fine-Tuning
This is the first study to target worst-case demographic personas with LoRA fine-tuning for cross-cultural bias mitigation, and country-level decomposition reveals that fine-tuning redistributes rather than removes bias.
Antoni Czolgowski, A. Iyasele
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