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A curated list of recent and past chart understanding work based on our survey paper: From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.

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ChartMoE is a multimodal large language model with Mixture-of-Expert connector for advanced chart 1)understanding, 2)replot, 3)editing, 4)highlighting and 5)transformation. We've released codes on [https://github.com/IDEA-FinAI/ChartMoE](https://github.com/IDEA-FinAI/ChartMoE) and the huggingface model on [https://huggingface.co/IDEA-FinAI/chartmoe](https://huggingface.co/IDEA-FinAI/chartmoe)....

We add a chart and table understanding method: Multi-modal Self-instruct. This strategy synthesizes a large number of diverse abstract charts through code-based LLM, including tables, maps, instrument dials, and high-quality...