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Khang Nhat Hoang Vo

1 paper indexed

arxivcs.CVcs.CL2026-07-06

Does It Fail to See or Fail to Know? Attributing Errors in Vision-Language Models

Khang Nhat Hoang Vo, Artem Vazhentsev, Artem Shelmanov, Timothy Baldwin, Yova Kementchedjhieva

Vision-language models (VLMs) perform well on visual question answering with high-quality images but struggle when questions require knowledge beyond what is clearly and directly visible. In such settings, uncertainty quantification should not only indicate whether the model is l…

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