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No single Arabic LLM can master hallucination detection, localization, and explanation, revealing critical gaps in current models' capabilities.
Uncertainty-aware predictions in affect estimation can dramatically enhance performance on challenging tasks, with AffectFlow-DINO achieving a multi-task performance score more than double the baseline.
