Counselor Reflection Generation

Counselor reflection generation focuses on using artificial intelligence to automatically create insightful and empathetic counselor responses in therapeutic conversations. Current research employs large language models (LLMs), often within multi-agent frameworks or enhanced by reinforcement learning techniques that optimize for multiple aspects of response quality (e.g., fluency, coherence, and reflection depth). This work aims to improve access to mental health support by automating aspects of counseling and providing valuable tools for training and evaluation, ultimately contributing to both the development of more effective therapeutic interventions and the advancement of natural language processing in sensitive contexts.