AI RESEARCH
DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
arXiv CS.AI
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ArXi:2506.06251v3 Announce Type: replace-cross Multimodal Large Language Models (MLLMs) have nstrated remarkable capabilities in automated front-end engineering, e.g., generating UI code from visual designs. However, existing front-end UI code generation benchmarks have the following limitations: (1) While framework-based development becomes predominant in modern front-end programming, current benchmarks fail to incorporate mainstream development frameworks.