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An overview of the ImageEval 2026 shared task on culturally grounded Arabic multimodal evaluation is presented, covering spoken visual question answering and image-grounded hallucination detection in English and Modern Standard Arabic, and CRAI-Bench, evaluating the cultural accuracy of text-to-image generation.
CARVE is introduced, a black-box counterfactual probe that compares answer changes under matched SHAM and DESTROY replays, and shows only a weak association with annotated temporal coverage, so CARVE is best understood as a routing signal rather than a direct grounding classifier.
C COVER changes the output object: a post-hoc, model-agnostic wrapper that turns any grounder, a trained localizer or a black-box video--language model, into one that emits a temporal region containing the true moment with probability at least $1-\alpha$, by calibrating the quantile of a temporal nonconformity score on...
This work shows that deterministic, database-grounded verification catches and repairs errors selectively, and that the binding constraint is detection rather than repair, and that the binding constraint is detection rather than repair.
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