Update README.md

README.md

@@ -19,20 +19,20 @@ We evaluated Granite Vision 3.2 alongside other vision-language models (VLMs) in
 |  | Molmo-E | InternVL2 | Phi3v | Phi3.5v | Granite Vision |
 |-----------|--------------|----------------|-------------|------------|------------|
 | **Document benchmarks** |
-| DocVQA | 0.66 | 0.87 | 0.87 | **0.88** | **0.88** |
-| ChartQA | 0.60 | 0.75 | 0.81 | 0.82 | **0.86** |
-| TextVQA | 0.62 | 0.72 | 0.69 | 0.7 | **0.76** |
-| AI2D | 0.63 | 0.74 | **0.79** | **0.79**  | 0.78 |
-| InfoVQA | 0.44 | 0.58 | 0.55 | 0.61  | **0.63** |
-| OCRBench | 0.65 | **0.75** | 0.64 | 0.64 | **0.75** |
+| DocVQA | 0.66 | 0.87 | 0.87 | 0.88 | **0.89** |
+| ChartQA | 0.60 | 0.75 | 0.81 | 0.82 | **0.87** |
+| TextVQA | 0.62 | 0.72 | 0.69 | 0.7 | **0.78** |
+| AI2D | 0.63 | 0.74 | **0.79** | **0.79**  | 0.76 |
+| InfoVQA | 0.44 | 0.58 | 0.55 | 0.61  | **0.64** |
+| OCRBench | 0.65 | 0.75 | 0.64 | 0.64 | **0.77** |
 | LiveXiv VQA | 0.47 | 0.51 | **0.61** | - | **0.61** |
 | LiveXiv TQA | 0.36 | 0.38 | 0.48 | - | **0.55** |
 | **Other benchmarks** |
-| MMMU | 0.32 | 0.35 | 0.42 | **0.44** | 0.35 |
-| VQAv2 | 0.57 | 0.75 | 0.76 | 0.77 | **0.81** |
-| RealWorldQA | 0.55 | 0.34 | 0.60 | 0.58 | **0.65** |
-| VizWiz VQA | 0.49 | 0.46 | 0.57 | 0.57 |  **0.64** |
-| OK VQA | 0.40 | 0.44 | 0.51 | 0.53 | **0.57** |
+| MMMU | 0.32 | 0.35 | 0.42 | **0.44** | 0.37 |
+| VQAv2 | 0.57 | 0.75 | 0.76 | 0.77 | **0.78** |
+| RealWorldQA | 0.55 | 0.34 | 0.60 | 0.58 | **0.63** |
+| VizWiz VQA | 0.49 | 0.46 | 0.57 | 0.57 |  **0.63** |
+| OK VQA | 0.40 | 0.44 | 0.51 | 0.53 | **0.56** |
 
 
 - **Paper:** [Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence](https://arxiv.org/abs/2502.09927)