Interpretable Humans, Alien LLMs: Expert Analysis of Latent Structures in Assessment Responses
The evaluation of large language models (LLMs) relies heavily on human-designed assessments, implicitly assuming that AI and humans employ similar underlying cognitive constructs. Challenging this assumption, we investigate whether the latent factors governing LLM performance carry the same substantive, human-interpret...