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Ke-Liang Li

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#artificial intelligence Preprint Sep 2026

Probe to Act: Elevating Browser-Use Agent via Active Visual Probing

Browser-use agents require seamless alignment between structured web metadata and visual information, while preserving relevant context across long interactions. Existing interfaces often rely on either screenshot-level action prediction or static Set-of-Marks overlays, leaving the model to resolve dense DOM-pixel alig...

Ke-Liang Li, Heng Wang, Chen Hu et al. · 0 citations

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