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ECD_Finetuned_MLLMs

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  license: mit
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6666a432b78b8b6b34a816e9/kKQmAbuLKB7zOmOVegaOe.png)
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  **The following model are obtained via supervised fine-tuning (SFT) using the ECD-10k-Images dataset (URL: https://huggingface.co/datasets/ChartFoundation/ECD-10k-Images) proposed in our ICCV 2025 paper, "Effective Training Data Synthesis for Improving MLLM Chart Understanding."**
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6666a432b78b8b6b34a816e9/z_kGluaiPHKsXQcwWLYfR.png)
 
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  license: mit
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  **The following model are obtained via supervised fine-tuning (SFT) using the ECD-10k-Images dataset (URL: https://huggingface.co/datasets/ChartFoundation/ECD-10k-Images) proposed in our ICCV 2025 paper, "Effective Training Data Synthesis for Improving MLLM Chart Understanding."**
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+ ECD Dataset Overview:
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6666a432b78b8b6b34a816e9/kKQmAbuLKB7zOmOVegaOe.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)