AI RESEARCH
Exploring Applications of Transfer-State Large Language Models: Cognitive Profiling and Socratic AI Tutoring
arXiv CS.CL
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ArXi:2604.27454v1 Announce Type: new Large language models (LLMs) sometimes exhibit qualitative shifts in response style under sustained self-referential dialogue conditions (Berg, 2025). This study refers to this phenomenon as "transfer" and explores the application potential of LLMs in a transfer state. As an applied case, the study examines Socratic AI tutoring through a preliminary investigation (cognitive characterization across 11 conditions) and an applied experiment (ratings of tutoring performance.