Update README.md

README.md

@@ -57,7 +57,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <th align="center"><strong>GPQA</strong></th>
       <th align="center"><strong>MathVista(mini)</strong></th>
       <th align="center"><strong>MMMU(Val)</strong></th>
-      <th align="center"><strong>CSVQA</strong></th>
     </tr>
     <tr>
       <th></th>
@@ -67,7 +66,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <th align="center">pass@1</th>
       <th align="center">pass@1</th>
       <th align="center">pass@1</th>
-      <th align="center">pass@1</th>
     </tr>
   </thead>
   <tbody>
@@ -79,7 +77,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">49.0</td>
       <td align="center">-</td>
       <td align="center">-</td>
-      <td align="center">-</td>
     </tr>
     <tr>
       <td>Deepseek V3</td>
@@ -89,7 +86,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">59.1</td>
       <td align="center">-</td>
       <td align="center">-</td>
-      <td align="center">-</td>
     </tr>
     <tr>
       <td>Deepseek R1</td>
@@ -99,7 +95,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">71.5</td>
       <td align="center">-</td>
       <td align="center">-</td>
-      <td align="center">-</td>
     </tr>
     <tr>
       <td>Claude 3.5 Sonnet</td>
@@ -109,7 +104,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">65.0</td>
       <td align="center">67.7</td>
       <td align="center">68.3</td>
-      <td align="center">-</td>
     </tr>
     <tr>
       <td>GPT-4o</td>
@@ -119,7 +113,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">53.6</td>
       <td align="center">63.8</td>
       <td align="center">69.1</td>
-      <td align="center">-</td>
     </tr>
     <tr>
       <td>Kimi k1.5</td>
@@ -129,7 +122,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">-</td>
       <td align="center">74.9</td>
       <td align="center">70.0</td>
-      <td align="center">-</td>
     </tr>
     <tr>
       <td>Qwen2.5-VL-72B-Instruct</td>
@@ -139,7 +131,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">-</td>
       <td align="center">74.8</td>
       <td align="center">70.2</td>
-      <td align="center">-</td>
     </tr>
     <tr>
       <td>LLaVA-Onevision-72B</td>
@@ -149,7 +140,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">-</td>
       <td align="center">67.5</td>
       <td align="center">56.8</td>
-      <td align="center">-</td>
     </tr>
     <tr>
       <td>InternVL2-Llama3-76B</td>
@@ -159,7 +149,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">-</td>
       <td align="center">65.5</td>
       <td align="center">58.3</td>
-      <td align="center">-</td>
     </tr>
     <tr>
       <td>InternVL2.5-78B</td>
@@ -169,7 +158,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">-</td>
       <td align="center">72.3</td>
       <td align="center">70.1</td>
-      <td align="center">-</td>
     </tr>
     <tr>
       <td>Skywork-R1V-38B</td>
@@ -179,7 +167,6 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">61.6</td>
       <td align="center">67.5</td>
       <td align="center">69.0</td>
-      <td align="center">-</td>
     </tr>
   </tbody>
 </table>
@@ -239,7 +226,7 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">71.9</td>
       <td align="center">49.5</td>
       <td align="center">63.7</td>
-      <td align="center">71.0</td>
+      <td align="center">67.5</td>
     </tr>
     <tr>
       <td>MMMU(Val)</td>
@@ -247,15 +234,7 @@ The model follows a connection pattern of Vision Encoder → MLP Adapter → Lan
       <td align="center">63.9</td>
       <td align="center">55.1</td>
       <td align="center">55.2</td>
-      <td align="center">68.1</td>
-    </tr>
-    <tr>
-      <td>CSVQA</td>
-      <td align="center">-</td>
-      <td align="center"></td>
-      <td align="center"></td>
-      <td align="center"></td>
-      <td align="center"></td>
+      <td align="center">69.0</td>
     </tr>
   </tbody>
 </table>
@@ -295,20 +274,13 @@ python demo.py
 
 ---
 
-## 6. Additional Resources
-
-- [📂 GitHub Repository](https://github.com/SkyworkAI/Skywork-R1V)
-- [🚀 Quick Start](#快速入门)
-- [📖 Full Documentation](#)
-
-
-## 7. Citation
+## 6. Citation
 If you use Skywork-R1V in your research, please cite:
 
 ```
 @article{skywork2025r1v,
-  title     = {Skywork-R1V: Bridging Vision and Language for Advanced Multimodal Reasoning},
-  author    = {SkyworkVL Team},
+  title     = {Skywork R1V: Bridging Vision and Language for Advanced Multimodal Reasoning},
+  author    = {Yi Peng, Chris, Xiaokun Wang, Yichen Wei, Jiangbo Pei, Weijie Qiu, Ai Jian, Yunzhuo Hao, Jiachun Pan, Tianyidan Xie, Li Ge, Rongxian Zhuang, Xuchen Song, Yang Liu, Yahui Zhou},
   year      = {2025},
   journal   = {arXiv preprint arXiv:XXXX.XXXXX},
   url       = {https://github.com/skywork-ai/Skywork-R1V}