Challenge: Recent advances in artificial intelligence highlight the potential of language models in psychological health support.
Approach: They propose a method to enhance the precision and efficacy of psychological support through large language models.
Outcome: The proposed model generates professional and structured responses in Chinese psychological health Q&A tasks, showcasing its practicality and quality.

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Can AI Relate: Testing Large Language Model Response for Mental Health Support (2024.findings-emnlp)

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Challenge: Large language models (LLMs) are already being piloted for clinical use in hospitals . recent failures of the Tessa chatbot have led to doubts about their reliability in high-stakes settings.
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A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions (2025.findings-acl)

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Challenge: Large language models (LLMs) can handle extensive context and multi-turn reasoning.
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PATIENT-đťś“: Using Large Language Models to Simulate Patients for Training Mental Health Professionals (2024.emnlp-main)

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Challenge: Mental illness remains one of the most critical public health issues.
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Using Linguistic Entrainment to Evaluate Large Language Models for Use in Cognitive Behavioral Therapy (2025.findings-naacl)

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Challenge: Entrainment is a communication process that builds a strong relationship between a mental health therapist and their client.
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MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media (2025.emnlp-main)

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Challenge: Social media is a key platform for emotional expression, yet deep learning lacks flexibility and interpretability.
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Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory (2024.findings-emnlp)

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Challenge: Existing models that use large language models are not available due to ethical concerns, and data privacy concerns are a concern.
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HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy (2024.acl-long)

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Challenge: Large Language Models (LLMs) can be used in psychotherapy to overcome challenges such as shame, distrust, and resource scarcity.
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From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis (2025.findings-acl)

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Evaluating Psychological Safety of Large Language Models (2024.emnlp-main)

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Challenge: a recent study evaluated the psychological safety of large language models.
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