Human vividness-rating networks are correlated across populations and cluster by questionnaire context, whereas LLM-derived networks are mostly degenerate single-clusters, showing a human-LLM divergence in imagined-scene structure.
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Psychological Imagination Networks Show Cross-Population Centrality and Clustering Alignment in Humans That Large Language Models Fail to Replicate
Human vividness-rating networks are correlated across populations and cluster by questionnaire context, whereas LLM-derived networks are mostly degenerate single-clusters, showing a human-LLM divergence in imagined-scene structure.