Update README.md

README.md

@@ -25,9 +25,9 @@ Because GPT-4 has not been fine-tuned on these VQA tasks, the answers it generat
 
 
 | Dataset               | Metric   | Med-Gemini | Med-PaLM-540B | GPT-4V | LLaVa3-Med|
-|-----------------------|----------|------------|------|------|----------------------|
-| Slake-VQA             | Token F1 | 87.5      | 89.3 | 76.8 |   89.8†         |
-| Path-VQA              | Token F1 | 64.7      | 62.7 | 57.7 |  64.9†          |
+|-----------------------|----------|------------|---------------|--------|-----------|
+| Slake-VQA             | Token F1 | 87.5       | 89.3          | 76.8   |   89.8†   |
+| Path-VQA              | Token F1 | 64.7       | 62.7          | 57.7   |  64.9†    |
 
 
 Table 1 | Multimodal evaluation. Performance comparison of LLaVa3-Med versus state-of-the-art (SoTA) methods.