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@@ -25,9 +25,11 @@ It follows a **“look–think–predict”** reasoning paradigm that mimics hum
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  Generates **heatmaps** highlighting potential artifacts and misalignments for more interpretable feedback.
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  - **🗣️ Grounded Image Reasoning**
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- Provides **step-by-step reasoning** explaining the evaluation enhancing interpretability and trustworthiness.
 
 
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- - **⚙️ Reinforcement-Tuned with GRPO**
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  Trained with **Group Relative Policy Optimization (GRPO)** for richer, more stable preference alignment.
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  - **💡 Versatile Applications**
 
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  Generates **heatmaps** highlighting potential artifacts and misalignments for more interpretable feedback.
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  - **🗣️ Grounded Image Reasoning**
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+ Provides **step-by-step reasoning** that explains how the model arrives at its evaluation.
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+ ImageDoctor not only describes *why* an image succeeds or fails but also **zooms in** on flawed regions—offering spatially grounded visual evidence that highlights artifacts or misalignments.
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+ This localized reasoning enhances interpretability, transparency, and trustworthiness.
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+ - **⚙️ Reinforcement-Finetuned with GRPO**
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  Trained with **Group Relative Policy Optimization (GRPO)** for richer, more stable preference alignment.
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  - **💡 Versatile Applications**