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Current MLLMs excel at visual reproduction but falter in generating the necessary data semantics and interaction logic for coordinated multi-view interfaces.
By having a single VLM critique its own SVG renderings, IntroSVG learns to generate more complex, semantically aligned, and editable vector graphics from text prompts.