Update README.md

README.md

@@ -3,14 +3,16 @@ 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."**
 
-ECD Dataset Overview:
+**ECD Dataset Overview**:
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6666a432b78b8b6b34a816e9/kKQmAbuLKB7zOmOVegaOe.png)
 
-Comparing 4 MLLMs on six test sets: (CharXiv, ChartQA, ReachQA, ChartBench, ChartX, ECDBench)
+**Comparing 4 MLLMs on six test sets: (CharXiv, ChartQA, ReachQA, ChartBench, ChartX, ECDBench)**
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6666a432b78b8b6b34a816e9/z_kGluaiPHKsXQcwWLYfR.png)
 
-Citation:
+**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},