Reproduce “Focused Omni-Modal GUI Agents” on OpenResearch

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About this paper

Fuyao Zhang, Wenwen He, Jiaming Zhang, Yurong Hao, Xuan Wang, Guowei Guan, Che Wang, Longtao Huang and 1 more

FocusGUI guides a GUI decoder by scoring observation channels against a reference recomputed at each step, then adding compressed evidence to existing prompt embeddings before action generation. It preserves the full multimodal input and trains on next-action supervision. On OmniGUI, across four frozen backbones, average Type Match rose from 31.0% to 64.2%; this result applies to the benchmark and models.

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