Graph2Counsel: Clinically Grounded Synthetic Counseling Dialogue Generation from Client Psychological Graphs
cs.CL
Submitted: 2026-04-22
Updated: 2026-08-30
Terminology
Sources
- Psy-Insight: Explainable Multi-turn Bilingual Dataset for Mental Health Counseling
- MADP: Multi-Agent Deductive Planning for Enhanced Cognitive-Behavioral Mental Health Question Answer
- LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluation
- Responsible Evaluation of AI for Mental Health
- Graph Drawing for LLMs: An Empirical Evaluation
- CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question Answering
- ChatCounselor: A Large Language Models for Mental Health Support
- Testing the Utility of Using Large Language Models to Create Personalized Networks From Therapy Session Transcripts: A Proof of Concept Study
- A Comprehensive Review of Datasets for Clinical Mental Health AI Systems
- Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions
- MAGneT: Coordinated Multi-Agent Generation of Synthetic Multi-Turn Mental Health Counseling Sessions
- KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs
- Roleplaying with Structure: Synthetic Therapist-Client Conversation Generation from Questionnaires
- Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations
- Hybrid Training Approaches for LLMs: Leveraging Real and Synthetic Data to Enhance Model Performance in Domain-Specific Applications
- Qwen2.5 Technical Report
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