Papers by Masoomali Fatehkia

1 papers
FanarGuard: A Culturally-Aware Moderation Filter for Arabic Language Models (2026.eacl-long)

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Challenge: Current content moderation filters focus on general safety and ignore cultural context . authors: FanarGuard improves accuracy and provides a practical step toward context-sensitive safeguards.
Approach: They propose a bilingual moderation filter that evaluates both safety and cultural alignment in Arabic and English.
Outcome: The proposed moderation filter performs better with human annotations than state-of-the-art filters on safety benchmarks.

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