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。