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Modeling hierarchical response accuracy of large language models using a Bayesian generalized linear mixed model

Large Language Models (LLMs) demonstrate strong performance in Natural Language Processing. In neuroanatomy, their response accuracy across hierarchical data structures (responses nested within questions) has not yet been investigated. Evaluating how these models perform under varying cognitive demands is important for...