Zun Wang
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126
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Vision×1AI×1NLP×1
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2026
Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?
This paper introduces a new evaluation framework, SpatialUncertain, demonstrating that current Vision-Language Models (VLMs) are prone to overconfident and incorrect answers to spatial questions when visual evidence is incomplete or misleading.
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cs.CVcs.AIcs.CLRecentMay 28, 2026
Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?
Yue Zhang, Zun Wang, Han Lin, Yonatan Bitton +2 more
This paper introduces a new evaluation framework, SpatialUncertain, demonstrating that current Vision-Language Models (VLMs) are prone to overconfident and incorrect answers to spatial questions when…
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