Update README.md

README.md

@@ -73,7 +73,7 @@ This resulted in a high-performance VLA model on a tiny-scale backbone.
 
   <tr>
    <td>OpenVLA-OFT (Kim et al., 2025)</td>
-   <td>7B</td><td><i><u>97.6*</u></i></td><td>98.4</td><td><b>97.9</b></td><td><b>94.5</b></td><td><b>97.1</b></td>
+   <td>7B</td><td><i><u>97.6*</u></i></td><td>98.4</td><td><b>97.9</b></td><td><i><u>94.5*</u></i></td><td><b>97.1</b></td>
   </tr>
 
   <tr>
@@ -170,7 +170,7 @@ This resulted in a high-performance VLA model on a tiny-scale backbone.
 
   <tr>
    <td><b>VLA-Adapter (Ours)</b></td>
-   <td><b>0.5B</b></td><td><b>97.8</b></td><td> <b>99.2</b> </td><td><i><u>97.2*</u></i></td><td> <i><u>94.0* </u></i></td><td><b>97.1</b></td>
+   <td><b>0.5B</b></td><td><b>97.8</b></td><td> <b>99.2</b> </td><td><i><u>97.2*</u></i></td><td> <b>95.0</b></td><td><b>97.3</b></td>
   </tr>
   
 </table>
@@ -216,7 +216,7 @@ This resulted in a high-performance VLA model on a tiny-scale backbone.
   <tr>
   <td>Performance</td>
    <td>97.1%</td>
-   <td><strong>97.1%</strong></td>
+   <td><strong>97.3%</strong></td>
     <td>Maintain</td>
   </tr>
 </table>