ChartFoundation/ECD_Finetuned_MLLMs

The following models 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](https://huggingface.co/papers/2508.06492)" ([Code](https://github.com/yuweiyang-anu/ECD)).

ECD Dataset Overview:

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

Citation:

If it is helpful to your research, please cite our paper as follows:

@inproceedings{yang2025effective,
     title={Effective Training Data Synthesis for Improving MLLM Chart Understanding},
     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},
     booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
     year={2025}
 }