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ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation
We present an overview of the ImageEval 2026 shared task on culturally grounded Arabic multimodal evaluation. It includes two tasks: (i) AynVQA, covering spoken visual question answering and image-grounded hallucination detection in English and Modern Standard Arabic (MSA), and (ii) CRAI-Bench, evaluating the cultural accuracy of text-to-image generation. A total of 14 teams participated in the test phase, with 12 teams submitting system description papers. Participating systems used a range of approaches, including zero-shot prompting, fine-tuning of vision-language models, speech-recognition
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T09:02:28.000Z
First collected: 2026-09-21T07:01:58.596Z. This is not the publication date.