Update README.md

README.md

@@ -58,7 +58,7 @@ InternVL 2.0 is a multimodal large language model series, featuring models of va
 |          SEED-Image          |      77.1       |        -         |     78.2      |         78.2         |
 |   HallBench<sub>avg</sub>    |      55.0       |       49.9       |     56.9      |         55.2         |
 | MathVista<sub>testmini</sub> |      63.8       |       67.7       |     63.7      |         65.5         |
-|  OpenCompass<sub>avg</sub>   |      69.9       |       67.9       |     69.7      |         70+          |
+|  OpenCompass<sub>avg</sub>   |      69.9       |       67.9       |     69.7      |         71.0          |
 
 - We simultaneously use InternVL and VLMEvalKit repositories for model evaluation. Specifically, the results reported for DocVQA, ChartQA, InfoVQA, TextVQA, MME, AI2D, MMBench, CCBench, MMVet, and SEED-Image were tested using the InternVL repository. OCRBench, RealWorldQA, HallBench, and MathVista were evaluated using the VLMEvalKit.
 
@@ -478,7 +478,7 @@ InternVL 2.0 是一个多模态大语言模型系列，包含各种规模的模
 |          SEED-Image          |      77.1       |        -         |     78.2      |         78.2         |
 |   HallBench<sub>avg</sub>    |      55.0       |       49.9       |     56.9      |         55.2         |
 | MathVista<sub>testmini</sub> |      63.8       |       67.7       |     63.7      |         65.5         |
-|  OpenCompass<sub>avg</sub>   |      69.9       |       67.9       |     69.7      |         70+          |
+|  OpenCompass<sub>avg</sub>   |      69.9       |       67.9       |     69.7      |         71.0          |
 
 - 我们同时使用 InternVL 和 VLMEvalKit 仓库进行模型评估。具体来说，DocVQA、ChartQA、InfoVQA、TextVQA、MME、AI2D、MMBench、CCBench、MMVet 和 SEED-Image 的结果是使用 InternVL 仓库测试的。OCRBench、RealWorldQA、HallBench 和 MathVista 是使用 VLMEvalKit 进行评估的。