Tag: mental health AI
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Interpretable Multimodal Depression Detection Using LLMs
Discover a dynamic framework using large language models for accurate, interpretable multimodal depression detection and severity assessment.
Resistance-Informed Framework for Realistic Client Simulation
Discover ResistClient, a framework enhancing psychological client simulators with resistance-informed motivation for realistic counselor training.
Detecting Hallucinations in Mental Health Chatbots Using Human-LLM Hybrid
Enhance mental health chatbot safety by combining human expertise with LLMs to detect hallucinations and omissions in responses accurately.
PSY-STEP: AI-Driven CBT Counseling Dialogue System
Discover PSY-STEP and STEPPER, AI tools enhancing CBT counseling with proactive, personalized dialogue for effective mental health support.
Scalable Safety Evaluations of LLMs for Psychosis Support
Explore scalable, clinically-validated safety evaluations of LLM responses for users with psychosis, enhancing mental health AI support systems.