CBT-Audio dataset shows that adding audio input improves distress intensity estimation over transcripts alone for 8 of 10 audio language models, with clearest gains when verbal content and vocal delivery diverge.
Diacbt: A long-periodic dialogue corpus guided by cognitive conceptualization diagram for cbt-based psychological counseling
3 Pith papers cite this work. Polarity classification is still indexing.
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CCD-CBT is a multi-agent framework for CBT simulation that dynamically reconstructs Cognitive Conceptualization Diagrams via a Control Agent and enforces information asymmetry between Therapist and Client agents, with the released CCDCHAT dataset enabling fine-tuned models to outperform baselines in
DMT-CBT introduces a longitudinal therapeutic state modeling framework for multi-session CBT, paired with a synthetic multimodal dataset, claiming better fidelity and alliance than post-hoc methods.
citing papers explorer
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CBT-Audio: Evaluating Audio Language Models for Patient-Side Distress Intensity Estimation in CBT Session Recordings
CBT-Audio dataset shows that adding audio input improves distress intensity estimation over transcripts alone for 8 of 10 audio language models, with clearest gains when verbal content and vocal delivery diverge.
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CCD-CBT: Multi-Agent Therapeutic Interaction for CBT Guided by Cognitive Conceptualization Diagram
CCD-CBT is a multi-agent framework for CBT simulation that dynamically reconstructs Cognitive Conceptualization Diagrams via a Control Agent and enforces information asymmetry between Therapist and Client agents, with the released CCDCHAT dataset enabling fine-tuned models to outperform baselines in
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DMT-CBT: Longitudinal Therapeutic State Modeling for CBT Counseling
DMT-CBT introduces a longitudinal therapeutic state modeling framework for multi-session CBT, paired with a synthetic multimodal dataset, claiming better fidelity and alliance than post-hoc methods.