Seeing Isn't Knowing: The Limitations of VLMs in Spatial Reasoning
AK(@_akhaliq)53 字 (约 1 分钟)
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This article explores the limitations of Visual Language Models (VLMs) in handling spatial questions, highlighting their tendency to confidently generate answers even when visual cues are ambiguous, and suggests introducing uncertainty mechanisms to improve model robustness.
入选理由：VLMs 在缺乏明确视觉线索时，仍可能自信地生成空间问题的答案。
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