AI RESEARCH
ScreenParse: Moving Beyond Sparse Grounding with Complete Screen Parsing Supervision
arXiv CS.CV
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ArXi:2602.14276v2 Announce Type: replace Modern computer-use agents (CUA) must perceive a screen as a structured state, what elements are visible, where they are, and what text they contain, before they can reliably ground instructions and act. Yet, most available grounding datasets provide sparse supervision, with insufficient and low-diversity labels that annotate only a small subset of task-relevant elements per screen, which limits both coverage and generalization; moreover, practical deployment requires efficiency to enable low-latency, on-device use. We.