[KongchangAI]
Unverified50% confidenceFactExact time

The study uses two datasets: SilCC (which modulates naming difficulty through progressively complex abstract shape compositions) and PixCC (which increases recognition difficulty by adding random visual noise) to compare the associative creativity of humans and multimodal large models.

1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen

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