Cultural Benchmarking of LLMs in MSA and Arabic Dialectal Dialogue
M. Dehan, Aldry Kautsar, ∗. SaeedAlmheiri et al.
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This work introduces SemCog Bench, a curated benchmark of 1,858 Arabic--Hebrew word pairs with sentence-level annotations for cognate identification and semantic disambiguation and finds that context and scale yield model-dependent gains, while original-script inputs generally perform best.
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