AI RESEARCH
RealChart2Code: Advancing Chart-to-Code Generation with Real Data and Multi-Task Evaluation
arXiv CS.CL
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ArXi:2603.25804v1 Announce Type: new Vision-Language Models (VLMs) have nstrated impressive capabilities in code generation across various domains. However, their ability to replicate complex, multi-panel visualizations from real-world data remains largely unassessed. To address this gap, we