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This work evaluates entity tracking in both language models and humans using naturalistic narratives at multiple levels of complexity, finding that entity tracking degrades specifically with narrative complexity, not narrative length.
The first language-model-specific psychometric theory: a two-process theory of machine self-report of language models that reflects the structure imposed on self-report by a training regime and may differ under others is proposed.
The widespread use of LLMs among psychiatric populations has raised concerns regarding their safety and potential iatrogenic impact in the context of AI psychosis. While growing literature conceptualizes AI psychosis and documents case studies, empirical evidence tracing AI-exacerbated psychotic processes remains scarc...
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