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@@ -34,7 +34,6 @@ The JSON file includes three fields:
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  This task requires the model to predict the **description** of a widget based on its given **bbox**. Different models support different bbox formats:
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  - **Qwen model:** Prefers `[xmin, ymin, xmax, ymax]` (raw pixel coordinates)
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  - **Intern model:** Prefers `[xmin, ymin, xmax, ymax]` (normalized coordinates)
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- - **AndesVL-4B-UI model:** Prefers `<|box_start|>(xmin,ymin),(xmax,ymax)<|box_end|>` (based on normalized coordinates multiplied by 10,000)
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  **Accuracy metric:** A prediction (`pred`) is considered correct if its longest common substring with the ground-truth `description` is non-empty.
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@@ -47,7 +46,6 @@ The JSON file includes three fields:
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  This task is the inverse of Referring: the model must predict the **bbox** of a widget given its **description**. Different models output different formats:
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  - Some models directly predict `[x_center, y_center]` (center coordinates)
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  - Others predict `[xmin, ymin, xmax, ymax]` (full bbox)
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- - **AndesVL-4B-UI** predicts `<|box_start|>(xmin,ymin),(xmax,ymax)<|box_end|>`
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  If the model outputs a full bbox, we compute its geometric center as `[x_center, y_center]`.
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  **Accuracy metric:** The predicted center must lie inside the ground-truth bbox.
 
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  This task requires the model to predict the **description** of a widget based on its given **bbox**. Different models support different bbox formats:
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  - **Qwen model:** Prefers `[xmin, ymin, xmax, ymax]` (raw pixel coordinates)
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  - **Intern model:** Prefers `[xmin, ymin, xmax, ymax]` (normalized coordinates)
 
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  **Accuracy metric:** A prediction (`pred`) is considered correct if its longest common substring with the ground-truth `description` is non-empty.
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  This task is the inverse of Referring: the model must predict the **bbox** of a widget given its **description**. Different models output different formats:
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  - Some models directly predict `[x_center, y_center]` (center coordinates)
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  - Others predict `[xmin, ymin, xmax, ymax]` (full bbox)
 
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  If the model outputs a full bbox, we compute its geometric center as `[x_center, y_center]`.
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  **Accuracy metric:** The predicted center must lie inside the ground-truth bbox.