Papers by Yukiko Nishimura

1 papers
CARE: Multilingual Human Preference Learning for Cultural Awareness (2025.emnlp-main)

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Challenge: Language Models are tuned with human preferences to produce helpful responses, but the impact of preference tuning on the ability to handle culturally diverse queries remains understudied.
Approach: They introduce a multilingual resource that contains culturally specific questions and 31.7k responses with human judgments.
Outcome: The proposed model outperforms models with stronger initial cultural performance . the proposed model has gaps in the literature on culturally relevant data .

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