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.
Table 5 in Appendix A.10 reports aggregated results, and Figure 8 visualises the response distributions
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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.