A Comprehensive Investigation of Empathetic Dialogue Systems for Mental Health Support Using Large Language Models
A multimodal emotion-aware architecture, which pays attention to memory-enhanced personalization and emotion-specific reinforcement learning, is introduced and hybrid human-AI approaches, which focus on safety and empathetic conversation to improve current mental health systems are recommended.