Update README.md

README.md

@@ -165,21 +165,20 @@ Example Output:
 
 | Architecture                   | Prompting   | ANLS  | MeanIoU |
 |--------------------------------|------------|-------|---------|
-| Smol                       | Zero-shot   | 0.527 | 0.011   |
+| Smolvlm-2.2B                       | Zero-shot   | 0.527 | 0.011   |
 |                                | Anchors     | 0.543 | 0.026   |
 |                                | CoT         | 0.561 | 0.011   |
-| Qwen                        | Zero-shot   | 0.691 | 0.048   |
+| Qwen2-vl-7B                | Zero-shot   | 0.691 | 0.048   |
 |                                | Anchors     | 0.694 | 0.051   |
 |                                | CoT         | <ins>0.720</ins> | 0.038   |
 | Claude Sonnet 4                 | Zero-shot   | **0.737** | 0.031 |
-| Smol + D.E.                | Zero-shot   | 0.572 | 0.175   |
-| Qwen + D.E.                | Zero-shot           | 0.689 | 0.188   |
+| Smolvlm-2.2B + DocExplainer                | Zero-shot   | 0.572 | 0.175   |
+| Qwen2-vl-7B   + DocExplainer                 | Zero-shot           | 0.689 | 0.188   |
 | Smol + Naive OCR           | Zero-shot   | 0.556 | <ins>0.405</ins> |
 | Qwen + Naive OCR           | Zero-shot           | 0.690 | **0.494** |
 
 
-Document VQA performance of different models and prompting strategies on the BoundingDocs v2.0 dataset. <br>
-Smol stands for SmolVLM-2.2B, Qwen stands for Qwen2-VL-7B, and D.E. stands for DocExplainerV0.  <br>
+Document VQA performance of different models and prompting strategies on the [BoundingDocs v2.0 dataset](https://huggingface.co/datasets/letxbe/BoundingDocs). <br>
 The best value is shown in **bold**, the second-best value is <ins>underlined</ins>.
 
 ## Limitations