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Huazhong University of Science and Technology
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Proprietary MLLMs generate visually appealing code from Figma designs, but fall short on crucial aspects like responsive layouts and maintainability, revealing a surprising gap in their practical utility.
Ground-truth labels don't improve LLM reasoning, but building a consensus-based knowledge graph of reasoning steps does, boosting accuracy by 10%+.