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PlotGen-Bench: Evaluating VLMs on Generating Visualization Code from Diverse Plots across Multiple Libraries

Published in arXiv (Cornell University) • Nov 13, 2025
NobleIDNI0P43W21R51S62
Authors:
Yi Zhao
,
Zhen Yang
,
Shuaiqi Duan

Abstract

Recent advances in vision-language models (VLMs) have expanded their multimodal code generation capabilities, yet their ability to generate executable visualization code from plots, especially for complex 3D, animated, plot-to-plot transformations, or multi-library scenarios, remains underexplored. ...

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