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Across MedSNIP-Bench, HealthFC, and MedHallu, snippet-level verification preserves or improves false-class F1, with gains concentrated where answers are long enough to fragment and where the verifier is strong enough to exploit the recovered structure.
Results on UrduMMLU show that current LLMs have uneven Urdu knowledge, particularly for content grounded in the regional context, and many models lose 25 to 40 points on Urdu-centered Humanities subjects compared with STEM.
Jais 2 is a family of Arabic-centric large language models developed jointly by MBZUAI, Cerebras, and Inception, designed to advance Arabic-centric language modeling, with strong performance across the Arabic and culturally grounded benchmarks evaluated in this report. The family includes, to our knowledge, the largest...
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