5 papers
FTA-Mem: Fact-Time-Affect Anchored Memory for Low-Density Long-Term Dialogue
Chang Liu, Shuyi Zhang, Changsheng Ma +3
Long-term emotional-support agents require memory mechanisms for personalized understanding across sessions. However, emotional-support dialogue is often low-density: turns are inc…
When Clients Stop Following: A Cognitive Conceptualization Diagram-driven Framework for Strategic Counseling
Yihao Qin, Junyi Zhao, Changsheng Ma +4
Large Language Models (LLMs) show promise in psychological counseling, yet existing benchmarks rely heavily on highly cooperative simulated clients. We observe a critical counselor…
DMT-CBT: Longitudinal Therapeutic State Modeling for CBT Counseling
Chang Liu, Shuyi Zhang, Changsheng Ma +3
Large language models (LLMs) have shown growing potential for Cognitive Behavioral Therapy (CBT) counseling. However, most existing approaches still formulate counseling as a local…
CCD-CBT: Multi-Agent Therapeutic Interaction for CBT Guided by Cognitive Conceptualization Diagram
Chang Liu, Changsheng Ma, Yongfeng Tao +2
Large language models show potential for scalable mental-health support by simulating Cognitive Behavioral Therapy (CBT) counselors. However, existing methods often rely on static…
Are Large Language Models Possible to Conduct Cognitive Behavioral Therapy?
Hao Shen, Zihan Li, Minqiang Yang +6
In contemporary society, the issue of psychological health has become increasingly prominent, characterized by the diversification, complexity, and universality of mental disorders…