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arXiv:2608.24138 · 多模态

Rubrics as Visual-Repair Context for Self-Evolving UI-to-Code Generation

Rubrics as Visual-Repair Context for Self-Evolving UI-to-Code Generation

类型：arxiv
标识：2608.24138
链接：https://arxiv.org/abs/2608.24138
主分类：multimodal
形态：method
TLDR：Large vision-language models have shown strong progress in UI-to-code generation, yet their test-time self-evolution remains unstable. We first identify a fundamental obstacle, termed visual repair coupling: a local code edit may propagate through layout, style, and component dependencies, correcting one visual mismatch while degrading regions that were previously faithful. To address this issue, we present RubSE, a Rubric-guided Self-Evolution framework that uses rubrics to represent visual feedback as a structured visual-repair context. At each refinement round, RubSE generates typed candida
待LLM分类：否
来源文件：
/inbox/tom/_candidates/2026-08-27-agent-rag-longcontext-candidates.json

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arXiv

2608.24138

TLDR

Large vision-language models have shown strong progress in UI-to-code generation, yet their test-time self-evolution remains unstable. We first identify a fundamental obstacle, termed visual repair coupling: a local code edit may propagate through layout, style, and component dependencies, correcting one visual mismatch while degrading regions that were previously faithful. To address this issue, we present RubSE, a Rubric-guided Self-Evolution framework that uses rubrics to represent visual feedback as a structured visual-repair context. At each refinement round, RubSE generates typed candida

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