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Existing image editing models struggle with precision, achieving only 17.1% accuracy on a new benchmark designed to evaluate fundamental visual editing tasks.
Vision models are far more data-hungry than language models, but Mixture-of-Experts can harmonize this asymmetry for truly unified multimodal models.
