CSL recovers mark type (0.822), visualization role (0.853), and data role (0.860) macro accuracy from 102 SVGs via cohort decomposition and hybrid grounding, outperforming non-cohort baseline.
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Cohort-based Semantic Labeling: AI-Enabled Recovery of Visualization Semantics from Deployed SVGs
CSL recovers mark type (0.822), visualization role (0.853), and data role (0.860) macro accuracy from 102 SVGs via cohort decomposition and hybrid grounding, outperforming non-cohort baseline.