Large language models store substantial factual knowledge in their parameters, yet this knowledge is difficult to control, update, and reliably elicit at inference time. Existing memory-augmented approaches typically rely on a single auxiliary mechanism, such as retrieval, parameter updates, or neural memory, and there...
Yifan Lu, Ru-Bin Wei, Zi-Yun Zou et al.· 0 citations
ArabCulture-Dialogue is introduced, a culturally grounded conversational dataset covering 13 Arabic-speaking countries, in both MSA and each country’s respective dialect, spanning 12 daily-life topics and 54 fine-grained subtopics, to address the performance gap between MSA and Arabic dialects.
M. Dehan, Aldry Kautsar, SaeedAlmheiri et al.· 0 citations
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.
Junhong Liang, Noor Abo Mokh, Bashar Alhafni· arXiv.org· 0 citations
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