Aligning Cultural Behaviors in Arabic Language Models via Preferences
arXiv ·
This research addresses the underexplored area of aligning Arabic Large Language Models (LLMs) with country-specific cultural behavioral preferences. The authors propose ArabPref, the first large-scale pan-Arab preference dataset designed for cultural behavior alignment conditioned on country. ArabPref includes both a culturally grounded preference dataset for training and evaluation, and a multiple-choice benchmark for assessing culturally aligned behavior across various Arab nations, with all test data validated by native speakers. Why it matters: This dataset and benchmark provide a crucial foundation for systematically studying and improving the cultural nuance and appropriateness of LLMs for the diverse Arab world.