Update README.md

New VQA category fixes

README.md

@@ -120,28 +120,24 @@ Top models evaluated on this validation dataset:
 
 | Model | Overall | img→text | img→markdown | Grounding | KIE (JSON) | VQA |
 |-------|---------|----------|--------------|-----------|------------|-----|
-| **Gemini-2.5-pro** | **0.682** | 0.836 | 0.745 | 0.084 | 0.891 | 0.853 |
-| **Alice AI VLM dev** | **0.646** | 0.885 | 0.776 | 0.060 | 0.729 | 0.781 |
-| **Gemini-2.5-flash** | **0.644** | 0.796 | 0.683 | 0.067 | 0.841 | 0.833 |
-| **gpt-4.1-mini** | **0.643** | 0.866 | 0.724 | 0.091 | 0.750 | 0.782 |
-| **Claude-4.5-Sonnet** | **0.639** | 0.723 | 0.676 | 0.377 | 0.728 | 0.692 |
-| Cotype VL (32B 8 bit) | 0.639 | 0.797 | 0.756 | 0.262 | 0.694 | 0.685 |
-| gpt-5-mini | 0.632 | 0.797 | 0.678 | 0.126 | 0.784 | 0.776 |
-| Qwen2.5-VL-72B | 0.631 | 0.848 | 0.712 | 0.220 | 0.644 | 0.732 |
-| gpt-5-mini (responses) | 0.594 | 0.743 | 0.567 | 0.118 | 0.811 | 0.731 |
-| Qwen3-VL-30B-A3B | 0.589 | 0.802 | 0.688 | 0.053 | 0.661 | 0.743 |
-| gpt-4.1 | 0.587 | 0.709 | 0.693 | 0.086 | 0.662 | 0.784 |
-| Qwen3-VL-32B-Instruct | 0.585 | 0.732 | 0.646 | 0.054 | 0.724 | 0.770 |
-| Qwen3-VL-30B-A3B-FP8 | 0.583 | 0.798 | 0.683 | 0.056 | 0.638 | 0.740 |
-| Qwen2.5-VL-32B | 0.577 | 0.767 | 0.649 | 0.232 | 0.493 | 0.743 |
-| gpt-5 (responses) | 0.573 | 0.746 | 0.650 | 0.080 | 0.687 | 0.704 |
-| Qwen2.5-VL-7B | 0.549 | 0.779 | 0.704 | 0.185 | 0.426 | 0.651 |
-| Qwen3-VL-4B-Instruct | 0.535 | 0.707 | 0.685 | 0.063 | 0.546 | 0.675 |
-| gpt-4.1-nano | 0.503 | 0.676 | 0.672 | 0.028 | 0.567 | 0.573 |
-| gpt-5-nano | 0.503 | 0.487 | 0.583 | 0.091 | 0.661 | 0.693 |
-| Qwen3-VL-2B-Instruct | 0.439 | 0.592 | 0.613 | 0.029 | 0.356 | 0.605 |
-| Qwen2.5-VL-3B | 0.402 | 0.613 | 0.654 | 0.045 | 0.203 | 0.494 |
-| Pixtral-12B-2409 | 0.342 | 0.327 | 0.555 | 0.026 | 0.325 | 0.475 |
+| **Claude-4.6-Opus** | 0.704 | 0.841 | 0.748 | 0.168 | 0.852 | 0.908 |
+| **Gemini-2.5-pro** | 0.690 | 0.840 | 0.717 | 0.070 | 0.888 | 0.935 |
+| **Gemini-3-flash-preview** | 0.681 | 0.836 | 0.724 | 0.051 | 0.845 | 0.950 |
+| **Gemini-2.5-flash** | 0.672 | 0.886 | 0.729 | 0.042 | 0.825 | 0.879 |
+| **Claude-4.5-Opus** | 0.670 | 0.809 | 0.720 | 0.131 | 0.799 | 0.889 |
+| **Claude-4.5-Sonnet** | 0.669 | 0.741 | 0.660 | 0.459 | 0.727 | 0.759 |
+| **GPT-5.2** | 0.663 | 0.799 | 0.656 | 0.173 | 0.855 | 0.835 |
+| **Alice AI VLM dev** | 0.662 | 0.881 | 0.777 | 0.063 | 0.747 | 0.841 |
+| **GPT-4.1-mini** | 0.659 | 0.863 | 0.735 | 0.093 | 0.750 | 0.853 |
+| Cotype VL (32B 8 bit) | 0.649 | 0.802 | 0.754 | 0.267 | 0.683 | 0.737 |
+| GPT-5-mini | 0.639 | 0.782 | 0.678 | 0.117 | 0.774 | 0.843 |
+| Qwen3-VL-235B-A22B-Instruct | 0.623 | 0.812 | 0.668 | 0.050 | 0.755 | 0.830 |
+| Qwen2.5-VL-72B-Instruct | 0.621 | 0.847 | 0.706 | 0.173 | 0.615 | 0.765 |
+| GPT-5.1 | 0.588 | 0.716 | 0.680 | 0.092 | 0.670 | 0.783 |
+| Qwen3-VL-8B-Instruct | 0.584 | 0.780 | 0.700 | 0.084 | 0.592 | 0.766 |
+| Qwen3-VL-32B-Instruct | 0.582 | 0.730 | 0.631 | 0.056 | 0.708 | 0.784 |
+| GPT-4.1 | 0.574 | 0.692 | 0.681 | 0.093 | 0.624 | 0.779 |
+| Qwen3-VL-4B-Instruct | 0.515 | 0.699 | 0.702 | 0.061 | 0.506 | 0.607 |
 
 *Scale: 0.0 - 1.0 (higher is better)*