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Comparing 4 MLLMs on six test sets: (CharXiv, ChartQA, ReachQA, ChartBench, ChartX, ECDBench)
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Comparing 4 MLLMs on six test sets: (CharXiv, ChartQA, ReachQA, ChartBench, ChartX, ECDBench)
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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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@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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}
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