arXiv — NLP / Computation & Language · · 3 min read

When Clients Stop Following: A Cognitive Conceptualization Diagram-driven Framework for Strategic Counseling

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Computer Science > Computation and Language

arXiv:2606.04389 (cs)
[Submitted on 3 Jun 2026]

Title:When Clients Stop Following: A Cognitive Conceptualization Diagram-driven Framework for Strategic Counseling

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Abstract:Large Language Models (LLMs) show promise in psychological counseling, yet existing benchmarks rely heavily on highly cooperative simulated clients. We observe a critical counselor-following phenomenon: these clients often rapidly shift from resistance to compliance after only a few turns, creating an illusion of therapeutic progress and inflating scores under current evaluation protocols through superficial empathy. To address this evaluation mismatch, we propose a Cognitive Behavioral Therapy (CBT)-grounded resistance-aware framework. We introduce CARS, a client simulator that explicitly models dynamic resistance via Cognitive Conceptualization Diagrams (CCDs). We present STREAMS, a dual-module framework that decouples strategic reasoning (Thinker) from response generation (Presenter) and optimizes it via reinforcement learning. We further propose EWTS-MI, an entropy-weighted metric for evaluating responsiveness under high-friction interactions. Experiments across resistant and non-resistant counseling settings validate our findings on evaluation mismatch and demonstrate the effectiveness of resistance-aware training for improving strategic robustness under challenging counseling interactions.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2606.04389 [cs.CL]
  (or arXiv:2606.04389v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2606.04389
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Junyi Zhao [view email]
[v1] Wed, 3 Jun 2026 03:09:10 UTC (2,436 KB)
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