DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counseling
- URL: http://arxiv.org/abs/2509.02999v1
- Date: Wed, 03 Sep 2025 04:17:19 GMT
- Title: DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counseling
- Authors: Yougen Zhou, Ningning Zhou, Qin Chen, Jie Zhou, Aimin Zhou, Liang He,
- Abstract summary: Large language models (LLMs) offer a promising solution to expand access to mental health services.<n>We construct a long-periodic dialogue corpus for counseling based on cognitive behavioral therapy (CBT)<n>Our dataset includes multiple sessions for each counseling and incorporates cognitive conceptualization diagrams (CCDs) to guide client simulation.
- Score: 29.386911644663304
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Psychotherapy reaches only a small fraction of individuals suffering from mental disorders due to social stigma and the limited availability of therapists. Large language models (LLMs), when equipped with professional psychotherapeutic skills, offer a promising solution to expand access to mental health services. However, the lack of psychological conversation datasets presents significant challenges in developing effective psychotherapy-guided conversational agents. In this paper, we construct a long-periodic dialogue corpus for counseling based on cognitive behavioral therapy (CBT). Our curated dataset includes multiple sessions for each counseling and incorporates cognitive conceptualization diagrams (CCDs) to guide client simulation across diverse scenarios. To evaluate the utility of our dataset, we train an in-depth counseling model and present a comprehensive evaluation framework to benchmark it against established psychological criteria for CBT-based counseling. Results demonstrate that DiaCBT effectively enhances LLMs' ability to emulate psychologists with CBT expertise, underscoring its potential for training more professional counseling agents.
Related papers
- Roleplaying with Structure: Synthetic Therapist-Client Conversation Generation from Questionnaires [5.163738939075784]
We present an LLM-driven pipeline that generates synthetic counseling dialogues based on structured client profiles and psychological questionnaires.<n>Our framework, SQPsych, converts structured psychological input into natural language dialogues through therapist-client simulations.<n>Our findings highlight the potential of synthetic data to enable scalable, data-secure, and clinically informed AI for mental health support.
arXiv Detail & Related papers (2025-10-29T10:55:52Z) - Reframe Your Life Story: Interactive Narrative Therapist and Innovative Moment Assessment with Large Language Models [72.36715571932696]
Narrative therapy helps individuals transform problematic life stories into empowering alternatives.<n>Current approaches lack realism in specialized psychotherapy and fail to capture therapeutic progression over time.<n>Int (Interactive Narrative Therapist) simulates expert narrative therapists by planning therapeutic stages, guiding reflection levels, and generating contextually appropriate expert-like responses.
arXiv Detail & Related papers (2025-07-27T11:52:09Z) - Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling [50.83055329849865]
PsyLLM is a large language model designed to integrate diagnostic and therapeutic reasoning for mental health counseling.<n>It processes real-world mental health posts from Reddit and generates multi-turn dialogue structures.<n>Our experiments demonstrate that PsyLLM significantly outperforms state-of-the-art baseline models.
arXiv Detail & Related papers (2025-05-21T16:24:49Z) - AutoCBT: An Autonomous Multi-agent Framework for Cognitive Behavioral Therapy in Psychological Counseling [57.054489290192535]
Traditional in-person psychological counseling remains primarily niche, often chosen by individuals with psychological issues.<n>Online automated counseling offers a potential solution for those hesitant to seek help due to feelings of shame.
arXiv Detail & Related papers (2025-01-16T09:57:12Z) - CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy [67.23830698947637]
We propose a new benchmark, CBT-BENCH, for the systematic evaluation of cognitive behavioral therapy (CBT) assistance.<n>We include three levels of tasks in CBT-BENCH: I: Basic CBT knowledge acquisition, with the task of multiple-choice questions; II: Cognitive model understanding, with the tasks of cognitive distortion classification, primary core belief classification, and fine-grained core belief classification; III: Therapeutic response generation, with the task of generating responses to patient speech in CBT therapy sessions.<n> Experimental results indicate that while LLMs perform well in reciting CBT knowledge, they fall short in complex real-world scenarios
arXiv Detail & Related papers (2024-10-17T04:52:57Z) - Therapy as an NLP Task: Psychologists' Comparison of LLMs and Human Peers in CBT [6.932239020477335]
Large language models (LLMs) are being used as adhoc therapists.<n>We compare the session-level behaviors of human counselors with those of an LLM prompted by a team of peer counselors to deliver single-session Cognitive Behavioral Therapy.
arXiv Detail & Related papers (2024-09-03T19:19:13Z) - Enhancing AI-Driven Psychological Consultation: Layered Prompts with Large Language Models [44.99833362998488]
We explore the use of large language models (LLMs) like GPT-4 to augment psychological consultation services.
Our approach introduces a novel layered prompting system that dynamically adapts to user input.
We also develop empathy-driven and scenario-based prompts to enhance the LLM's emotional intelligence.
arXiv Detail & Related papers (2024-08-29T05:47:14Z) - Are Large Language Models Possible to Conduct Cognitive Behavioral Therapy? [13.0263170692984]
Large language models (LLMs) have been validated, providing new possibilities for psychological assistance therapy.
Many concerns have been raised by mental health experts regarding the use of LLMs for therapy.
Four LLM variants with excellent performance on natural language processing are evaluated.
arXiv Detail & Related papers (2024-07-25T03:01:47Z) - Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory [24.937025825501998]
We create a multi-turn dialogue dataset that emulates real-life interactions using the goal-oriented and structured approach of Cognitive Behavioral Therapy (CBT)
We benchmark against established psychological criteria used to evaluate real counseling sessions, ensuring alignment with expert evaluations.
Experimental results demonstrate that Camel, a model trained with Cactus, outperforms other models in counseling skills, highlighting its effectiveness and potential as a counseling agent.
arXiv Detail & Related papers (2024-07-03T13:41:31Z) - PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents [68.50571379012621]
Psychological measurement is essential for mental health, self-understanding, and personal development.
PsychoGAT (Psychological Game AgenTs) achieves statistically significant excellence in psychometric metrics such as reliability, convergent validity, and discriminant validity.
arXiv Detail & Related papers (2024-02-19T18:00:30Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.