ChartDesign post-trains LLMs on data-design pairs from PewResearch and CharXiV charts to output design attributes like chart type and layout from tabular input, reaching 84% accuracy versus 53% for baselines and producing human-preferred renders.
3 Steven F Roth, John Kolojejchick, Joe Mattis, and Jade Goldstein
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ChartDesign: Towards LLM Designer of Data Visualization
ChartDesign post-trains LLMs on data-design pairs from PewResearch and CharXiV charts to output design attributes like chart type and layout from tabular input, reaching 84% accuracy versus 53% for baselines and producing human-preferred renders.