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  ## Model description
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- DocExplainerV0 is a **first-step approach** to Visual Document Question Answering (VQA) with bounding box localization.
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  Unlike standard VLMs that only provide text-based answers, DocExplainerV0 adds **visual evidence through bounding boxes**, making model predictions more interpretable.
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  It is designed as a **plug-and-play module** to be combined with existing Vision-Language Models (VLMs), decoupling answer generation from spatial grounding.
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  ## Model description
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+ DocExplainerV0 is a **first-step approach** to Visual Document Question Answering with bounding box localization.
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  Unlike standard VLMs that only provide text-based answers, DocExplainerV0 adds **visual evidence through bounding boxes**, making model predictions more interpretable.
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  It is designed as a **plug-and-play module** to be combined with existing Vision-Language Models (VLMs), decoupling answer generation from spatial grounding.
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