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Author

Emily Aurelia

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Preprint Aug 2026

UncertaintyVis: Preserving Linguistic Uncertainty in Automated Text-to-Chart Generation

This work presents UncertaintyVis, a system that preserves linguistic uncertainty during automated chart generation by mapping each category to chart-specific visual encodings that signal uncertainty without disturbing the spatial integrity readers rely on.

Songheng Zhang, Emily Aurelia, Anthony Tang · 0 citations

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