AI RESEARCH
UIPress: Bringing Optical Token Compression to UI-to-Code Generation
arXiv CS.CL
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ArXi:2604.09442v1 Announce Type: new UI-to-Code generation requires vision-language models (VLMs) to produce thousands of tokens of structured HTML/CSS from a single screenshot, making visual token efficiency critical. Existing compression methods either select tokens at inference time using task-agnostic heuristics, or zero out low-attention features without actually shortening the sequence -- neither truly reduces prefill latency or adapts to the non-uniform information density of UI screenshots.