Update pipeline tag, add library name, and add citation reference

README.md

@@ -1,9 +1,11 @@
 ---
-license: apache-2.0
 datasets:
 - zenosai/MonkeyDocv2
-pipeline_tag: image-text-to-text
+license: apache-2.0
+pipeline_tag: image-feature-extraction
+library_name: transformers
 ---
+
 <div align="center" xmlns="http://www.w3.org/1999/html">
 <h2>
 <b>MonkeyOCRv2: A Visual-Text Foundation Model for Document AI</b>
@@ -533,7 +535,7 @@ Our model supports robust document parsing in real-world scenarios across 17 lan
 #### 3. Text detection results on Total-Text, CTW1500, ICDAR2015 and ArT. We follow the training and evaluation protocols of [MMOCR](https://github.com/open-mmlab/mmocr) and [DPText-DETR](https://github.com/ymy-k/DPText-DETR).
 
 <p align="center">
-  <img src="https://raw.githubusercontent.com/Yuliang-Liu/MonkeyOCRv2/refs/heads/main/asserts/overview.png?raw=true" width="600"/>
+  <img src="https://raw.githubusercontent.com/Yuliang-Liu/MonkeyOCRv2/refs/heads/main/asserts/overview.png" width="600"/>
 </p>
 
 
@@ -995,12 +997,12 @@ Our model supports robust document parsing in real-world scenarios across 17 lan
 <tr>
 <td>dots.mocr</td><td>3B</td><td>1.2B</td><td>1.8B</td><td>80.5</td><td><strong>90.5</strong></td><td>77.2</td><td>81.7</td><td>82.6</td><td><strong>87.4</strong></td><td>71.3</td><td>70.1</td><td>84.5</td><td><strong>89.3</strong></td><td>83.2</td><td>86.8</td><td>79.9</td><td>79.2</td><td>83.3</td><td>83.6</td><td><strong>75.0</strong></td><td>78.7</td><td>71.2</td><td>77.9</td><td><u>84.6</u></td><td><strong>79.6</strong></td>
 </tr>
-<tr>
-<td><strong>MonkeyOCRv2-S-Parsing<a href="https://huggingface.co/zenosai/MonkeyOCRv2-S-Parsing">🤗</a></strong></td><td>0.6B</td><td>0.03B</td><td>0.6B</td><td><u>82.5</u></td><td>87.9</td><td><u>80.7</u></td><td><u>83.2</u></td><td><u>87.3</u></td><td>83.6</td><td><strong>76.8</strong></td><td>73.6</td><td><u>85.4</u></td><td>87.2</td><td><u>85.5</u></td><td>87.4</td><td>81.9</td><td><u>81.7</u></td><td><strong>91.2</strong></td><td><u>87.1</u></td><td>69.9</td><td><strong>88.7</strong></td><td><u>78.0</u></td><td><u>79.8</u></td><td>84.4</td><td>74.7</td>
-</tr>
-<tr>
-<td><strong>MonkeyOCRv2-B-Parsing<a href="https://huggingface.co/zenosai/MonkeyOCRv2-B-Parsing">🤗</a><strong></td><td>0.7B</td><td>0.1B</td><td>0.6B</td><td><strong>83.3</strong></td><td><u>88.1</u></td><td><strong>81.7</strong></td><td><strong>84.2</strong></td><td><strong>87.7</strong></td><td>84.5</td><td>75.2</td><td><strong>78.4</strong></td><td><strong>86.5</strong></td><td><u>88.6</u></td><td><strong>86.1</strong></td><td>87.9</td><td>83.2</td><td><strong>82.1</strong></td><td><u>90.7</u></td><td><strong>87.2</strong></td><td>71.9</td><td><u>87.6</u></td><td><strong>80.1</strong></td><td><strong>80.8</strong></td><td>83.6</td><td>75.3</td>
-</tr>
+    <tr>
+      <td><strong>MonkeyOCRv2-S-Parsing<a href="https://huggingface.co/zenosai/MonkeyOCRv2-S-Parsing">🤗</a></strong></td><td>0.6B</td><td>0.03B</td><td>0.6B</td><td><u>82.5</u></td><td>87.9</td><td><u>80.7</u></td><td><u>83.2</u></td><td><u>87.3</u></td><td>83.6</td><td><strong>76.8</strong></td><td>73.6</td><td><u>85.4</u></td><td>87.2</td><td><u>85.5</u></td><td>87.4</td><td>81.9</td><td><u>81.7</u></td><td><strong>91.2</strong></td><td><u>87.1</u></td><td>69.9</td><td><strong>88.7</strong></td><td><u>78.0</u></td><td><u>79.8</u></td><td>84.4</td><td>74.7</td>
+    </tr>
+    <tr>
+      <td><strong>MonkeyOCRv2-B-Parsing<a href="https://huggingface.co/zenosai/MonkeyOCRv2-B-Parsing">🤗</a><strong></td><td>0.7B</td><td>0.1B</td><td>0.6B</td><td><strong>83.3</strong></td><td><u>88.1</u></td><td><strong>81.7</strong></td><td><strong>84.2</strong></td><td><strong>87.7</strong></td><td>84.5</td><td>75.2</td><td><strong>78.4</strong></td><td><strong>86.5</strong></td><td><u>88.6</u></td><td><strong>86.1</strong></td><td>87.9</td><td>83.2</td><td><strong>82.1</strong></td><td><u>90.7</u></td><td><strong>87.2</strong></td><td>71.9</td><td><u>87.6</u></td><td><strong>80.1</strong></td><td><strong>80.8</strong></td><td>83.6</td><td>75.3</td>
+    </tr>
   </tbody>
 </table>
 
@@ -1190,3 +1192,15 @@ This multi-expert agreement strategy reduces model-specific annotation errors an
 
 ## Copyright
 We warmly welcome your feedback, suggestions, and contributions, which are essential to the continued development and improvement of our framework. Note: This model is intended for academic research and non-commercial use only. For any questions, please contact us at xbai@hust.edu.cn or ylliu@hust.edu.cn.
+
+## Citation
+If you find **MonkeyOCRv2** useful, consider citing our work: 
+
+```bibtex
+@article{liu2026monkeyocrv2,
+  title={MonkeyOCRv2: A Visual-Text Foundation Model for Document AI},
+  author={Yuliang Liu and Zhang Li and Ziyang Zhang and Shuo Zhang and Qiang Liu and Jiajun Song and Zidun Guo and Xinhan Wang and Handong Zheng and Yang Liu and Dongliang Luo and Zhiyin Ma and Jiarui Zhang and Xiang Bai},
+  journal={arXiv preprint arXiv:2607.11562},
+  year={2026}
+}
+```