Unverified50% confidenceOpinionExact time
The upper bound of the ViSkill framework is limited to some extent by the spatial perception ability of the chosen VLM.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
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Related Claims
UnverifiedHigh accuracy of VLMs on spatial reasoning tasks may mask fundamental deficiencies at the representation level, relying on lexical statistical shortcuts rather than genuine spatial representations71% similarUnverifiedAt the representation level, VLMs encode spatial relations significantly less well than lexical information69% similarUnverifiedVLMs have limitations when processing high-precision engineering drawings: insufficient accuracy in recognizing small text, a tendency to hallucinate and fabricate dimensions, and limited understanding of GD&T professional symbols.68% similarUnverifiedVLM在描述整体场景时表现出色,却在精确定位微小目标时频频出错,这是因为当画面元素密集时单个patch可能包含多个人物导致细节信息在下采样中被稀释或丢失66% similarUnverifiedThe limitation of specialized small models is that their generalization ability rapidly degrades when task boundaries are ambiguous, cross-domain reasoning is required, or unseen edge cases need to be handled.66% similar
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