arXiv cs.CL· Mingwen Zhang, Ruiyang Song, Qinying Wang, Yuchen Wang, Changsheng Ma, Minqiang Yang·· 11 小时前AI 评分24
CCDWiki：将 CBT 对话中的案例概念化与回复生成解耦
CCDWIKI: Decoupling Case Formulation from Response Generation in Longitudinal CBT Dialogue
AI 导读
CCDWiki 是一个即插即用的顾问模块，把纵向 CBT 对话中的案例概念化建模为基于证据的假设裁决，每个临床假设作为可变条目绑定支持与反驳证据，跨会话累积数据以强化、保留或撤回假设。该模块无需重训骨干模型，即可将概念化结果提炼为简洁指导，实验显示概念化与干预质量均显著提升。
正文 · 原文
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)
来源：arXiv cs.CL · arxiv.org