arXiv AI
ChartAnno: Benchmarking Multimodal Large Language Models for Chart Annotation Generation
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ChartAnno: Evaluating MLLMs for Chart Annotation Generation
Multimodal large language models (MLLMs) have made significant progress in chart understanding, generation, and editing, but their ability to annotate existing charts remains underexplored. Annotating charts is a common yet challenging communicative task, requiring models to infer intended messages, interpret chart semantics, and place appropriate textual or graphical elements.
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