Rethinking Token Pruning for Historical Screenshots in GUI Visual Agents: Semantic, Spatial, and Temporal Perspectives explores This research proposes a novel token pruning strategy for GUI visual agents that significantly reduces computational cost by leveraging semantic, spatial, and temporal insights from historical screenshots, without sacrificing performance.. Commercial viability score: 5/10 in GUI Agents.
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