Focused Omni-Modal GUI Agents
Graphical User Interface (GUI) agents increasingly act over streaming omni-modal observations spanning screenshots, audio, video, interaction history, and device states.
ProofPaper ↗
Key points
- However, exposing this complete context uniformly at every step ignores that relevance is transient and sparse: the signal determining one action can become clutter at the next.
- We formulate the underlying requirement as Focused Perception: a representation that is step-adaptive, action-sufficient, and non-intrusive.
- We realize this in FocusGUI, a lightweight adapter that dynamically prioritizes multimodal channels against a step-specific decision reference.
- FocusGUI trains from action supervision alone, requiring neither modality-relevance labels nor backbone fine-tuning.
Sources (1)
- [1]Focused Omni-Modal GUI AgentsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 19, 11:30 AM
Graphical User Interface (GUI) agents increasingly act over streaming omni-modal observations spanning screenshots, audio, video, interaction history, and device states.
However, exposing this complete context uniformly at every step ignores that relevance is transient and sparse: the signal determining one action can become clutter at the next.
Extractive summary: sentences quoted from the sources.
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