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Current image editing models struggle with discipline-specific knowledge, failing to consistently produce edits that are both visually consistent and logically sound within academic domains.
A 4B-parameter model, InternVL-U, outperforms 14B-parameter models in multimodal generation and editing, proving that size isn't everything.
