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  <img src="https://github.com/zheny2751-dotcom/UI2Code-N/blob/main/assets/fig1.png" alt="abs" style="width:60%;" />
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- **Glyph** is a framework for scaling the context length through visual-text compression.
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- Instead of extending token-based context windows, Glyph renders long textual sequences into images and processes them using vision–language models (VLMs).
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- This design transforms the challenge of long-context modeling into a multimodal problem, substantially reducing computational and memory costs while preserving semantic information.
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  ### Backbone Model
 
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  <img src="https://github.com/zheny2751-dotcom/UI2Code-N/blob/main/assets/fig1.png" alt="abs" style="width:60%;" />
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+ **UI2Code^N** is a visual language foundation model trained through staged **pretraining**, **fine-tuning**, and **reinforcement learning** to achieve foundational improvements in multimodal coding, which unifies three key capabilities: **UI-to-code generation**, **UI editing**, and **UI polishing**.
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+ Instead of relying on single-turn paradigms that make little use of iterative visual feedback, UI2Code^N introduces an interactive UI-to-code framework that more accurately reflects real-world workflows and raises the upper bound of achievable performance.
 
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  ### Backbone Model