From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Health
cs.CY, cs.AI, cs.CL
Submitted: 2026-09-21
Updated: 2026-09-21
Code: https://github.com/Emo-gml/Awesome-Mental-Health-LLMs
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
- OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models
- Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling
- CA+: Cognition Augmented Counselor Agent Framework for Long-term Dynamic Client Engagement
- Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions
- SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support
- RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
- Towards Open-Ended Emotional Support Conversations in LLMs via Reinforcement Learning with Future-Oriented Rewards
- PEER: Unified Process-Outcome Reinforcement Learning for Structured Empathetic Reasoning
- Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- MIND: Unified Inquiry and Diagnosis RL with Criteria Grounded Clinical Supports for Psychiatric Consultation
- A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG
- Illuminate: A novel approach for depression detection with explainable analysis and proactive therapy using prompt engineering
- Thread of Thought Unraveling Chaotic Contexts
- Psy-Copilot: Visual Chain of Thought for Counseling
- Supporting Construction Worker Well-Being with a Multi-Agent Conversational AI System
- Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models
- It Hears, It Sees too: Multi-Modal LLM for Depression Detection By Integrating Visual Understanding into Audio Language Models
- Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives
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