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News/Towards Self-Explainable Document Visual Question Answering with Chain-of-Explanation Predictions
arxiv
PublishedMay 8, 2026 at 4:00 AM
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Towards Self-Explainable Document Visual Question Answering with Chain-of-Explanation Predictions

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Publisher summary· verbatim

arXiv:2605.06058v1 Announce Type: new Abstract: Document Visual Question Answering (DocVQA) requires vision-language models to reason not only about what information in a document is relevant to a question, but also where the answer is grounded on the page. Existing DocVQA models entangle question-r

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Mentioned models
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  • 01
    CoExVQA
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arxiv
Read original ↗All from arxiv →
Tags
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#explainability#document-visual-question-answering#machine-learning#computer-vision

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Mentioned models
01
  • 01
    CoExVQA
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#explainability#document-visual-question-answering#machine-learning#computer-vision

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