LLMs given symbolic image descriptions reach mid-90s accuracy on abstract visual reasoning tasks where end-to-end VLMs stay near chance, showing representation as the primary bottleneck.
11*`set of base actions`: A list of primitives like`line_LENGTH`or`arc_RADIUS_ANGLE`
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Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual Reasoning
LLMs given symbolic image descriptions reach mid-90s accuracy on abstract visual reasoning tasks where end-to-end VLMs stay near chance, showing representation as the primary bottleneck.