AI RESEARCH
DMT-CBT: Longitudinal Therapeutic State Modeling for CBT Counseling
arXiv CS.CL
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ArXi:2606.03132v1 Announce Type: new Large language models (LLMs) have shown growing potential for Cognitive Behavioral Therapy (CBT) counseling. However, most existing approaches still formulate counseling as a local response generation problem, focusing on empathetic replies within short, text-only, or single-session interactions. We argue that this formulation fundamentally mismatches the nature of real psychotherapy. In clinical CBT, therapy is a longitudinal process in which therapists continuously infer, update, and intervene on evolving therapeutic states across sessions.