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CCDWIKI: Decoupling Case Formulation from Response Generation in Longitudinal CBT Dialogue

Summary

CCDWIKI is a plug-and-play advisor that models longitudinal CBT case formulation as evidence-grounded hypothesis adjudication, improving conceptualization and intervention quality without retraining the backbone language model.

SourcearXiv Computational LinguisticsAuthor: Mingwen Zhang, Ruiyang Song, Qinying Wang, Yuchen Wang, Changsheng Ma, Minqiang Yang
CCDWIKI: Decoupling Case Formulation from Response Generation in Longitudinal CBT Dialogue
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[Submitted on 31 Jul 2026]

Title:CCDWIKI: Decoupling Case Formulation from Response Generation in Longitudinal CBT Dialogue

View a PDF of the paper titled CCDWIKI: Decoupling Case Formulation from Response Generation in Longitudinal CBT Dialogue, by Mingwen Zhang and 5 other authors

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Abstract:Cognitive Behavioral Therapy (CBT) demands more than empathic validation, requiring instead a structured formulation of the interplay among situations, automatic thoughts, emotions, and behaviors. Therapists formalize this interplay through a Cognitive Conceptualization Diagram, where maintaining longitudinal coherence necessitates continuous evidential adjudication to separate tentative hypotheses from established findings. Current dialogue systems track conversational history via retrieval or static profiles but lack the representational capacity to encode epistemic status. Consequently, provisional interpretations are often prematurely reified as established facts, inadvertently biasing downstream interventions. Addressing this limitation, CCDWiki is introduced as a plug-and-play advisor conceptualizing longitudinal therapy as evidence-grounded hypothesis adjudication. The approach encodes each clinical hypothesis as a mutable entry bound to corroborating and contradicting evidence. Across sessions, accumulating data strengthens supported entries, preserves provisional ones, and retracts contradicted assumptions. The resulting formulation distills into concise guidance for unmodified therapeutic language models. Experiments demonstrate substantial improvements in both conceptualization and intervention quality without requiring backbone retraining.

Subjects:

Computation and Language (cs.CL)

Cite as: arXiv:2611.05383 [cs.CL]

(or arXiv:2611.05383v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2611.05383

arXiv-issued DOI via DataCite

Submission history

From: Mingwen Zhang [view email] [v1] Fri, 31 Jul 2026 16:14:18 UTC (2,966 KB)

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Key points

  • CCDWIKI encodes each clinical hypothesis as a mutable entry tied to corroborating and contradicting evidence.
  • Across sessions, supported hypotheses strengthen, provisional ones persist, and contradicted assumptions are retracted.
  • The approach decouples case formulation from response generation, feeding concise guidance to unmodified therapeutic language models.
  • Experiments show substantial gains in both conceptualization and intervention quality without backbone retraining.

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