Empirical study finds background semantics, random pruning, and recency-based allocation improve token efficiency for GUI visual agents.
Showui: One vision-language-action model for gui visual agent
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Rethinking Token Pruning for Historical Screenshots in GUI Visual Agents: Semantic, Spatial, and Temporal Perspectives
Empirical study finds background semantics, random pruning, and recency-based allocation improve token efficiency for GUI visual agents.