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Ask Twice, Look Twice: Training-Free Consistency Filtering for Reliable Medical VQA

2026-08-20

Abstract excerpt

<title>Abstract</title> <p>Medical Visual Question Answering (MVQA) exhibits significant potential for clinical decision support; however, current vision-language models are prone to producing inconsistent outputs. Standard evaluations rarely test robustness against semantically equivalent paraphrases or visual perturbations, which may lead to overestimating the model’s reliability. In real clinical scenarios, ob...

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Literature Corpus work
6d481e5f-3b42-57f3-bba5-59b503a8e98e
DOI
10.21203/rs.3.rs-7867052/v1
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Semantic proximity does not establish scientific evidence.

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Ask Twice, Look Twice: Training-Free Consistency Filtering for Reliable Medical VQADOI 10.21203/rs.3.rs-7867052/v1
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