A new micro-edit dataset and fine-tuning recipe appear to help multimodal LLMs notice small visual changes, but the central 'feature consistency loss' claim is not present in the method.
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Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning
A new micro-edit dataset and fine-tuning recipe appear to help multimodal LLMs notice small visual changes, but the central 'feature consistency loss' claim is not present in the method.