RAGE-Vis:A Relation-Aware Generative Editing Interface for Natural Language-Based Chart Editing
This work introduces RAGE-Vis, a Relation-Aware Generative Editing interface for natural language-based chart editing, and demonstrates the applicability of RAGE-Vis in complex editing tasks, including style adjustment, data extension, order rearrangement, legend layout, and color mapping.
Ziyao Kang, Yiping Sun, L. Tian et al.
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