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@@ -8,3 +8,13 @@ ECD Dataset Overview:
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  Comparing 4 MLLMs on six test sets: (CharXiv, ChartQA, ReachQA, ChartBench, ChartX, ECDBench)
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6666a432b78b8b6b34a816e9/z_kGluaiPHKsXQcwWLYfR.png)
 
 
 
 
 
 
 
 
 
 
 
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  Comparing 4 MLLMs on six test sets: (CharXiv, ChartQA, ReachQA, ChartBench, ChartX, ECDBench)
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6666a432b78b8b6b34a816e9/z_kGluaiPHKsXQcwWLYfR.png)
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+ Citation:
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+ If it is helpful to your research, please cite our paper as follows:
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+
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+ @inproceedings{yang2025effective,
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+ title={Effective Training Data Synthesis for Improving MLLM Chart Understanding},
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+ author={Yang, Yuwei and Zhang, Zeyu and Hou, Yunzhong and Li, Zhuowan and Liu, Gaowen and Payani, Ali and Ting, Yuan-Sen and Zheng Liang},
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+ booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
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+ year={2025}
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+ }