MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control
On the map: LLM agents and tool use → Medical and scientific domain agents
Abstract (arXiv)
As mental health issues globally escalate, there is a tremendous need for advanced digital support systems. We introduce MentalAgora, a novel framework employing large language models enhanced by interaction between multiple agents for tailored mental health support. This framework operates through three stages: strategic debating, tailored counselor creation, and response generation, enabling the dynamic customization of responses based on individual user preferences and therapeutic needs. We conduct experiments utilizing a high-quality evaluation dataset TherapyTalk crafted with mental health professionals, shwoing that MentalAgora generates expert-aligned and user preference-enhanced responses. Our evaluations, including experiments and user studies, demonstrate that MentalAgora aligns with professional standards and effectively meets user preferences, setting a new benchmark for digital mental health interventions.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Placed in Medical and scientific domain agents, one of 16 directions in LLM agents and tool use. Builds on 19 of its 50 references that are in the map. First posted on arXiv 3 Jul 2024.
Builds on
19 of 50 references.
References · 19
- 2022Training language models to follow instructions with human feedbackcited by 15,712
- 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
- 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
- 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
- 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
- 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,739
- 2023ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debatecited by 724
- 2023Character-LLM: A Trainable Agent for Role-Playingcited by 335
- 2023Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology Viewcited by 221
- 2020Continual Learning in Task-Oriented Dialogue Systemscited by 82
- 2023Cognitive Reframing of Negative Thoughts through Human-Language Model Interactioncited by 77
- 2021Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approachcited by 75
7 more
- 2023Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMscited by 62
- 2024A Computational Framework for Behavioral Assessment of LLM Therapistscited by 61
- 2022Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterancescited by 32
- 2021Controllable Generation from Pre-trained Language Models via Inverse Promptingcited by 29
- 2021Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interactioncited by 21
- 2023Harnessing Large Language Models' Empathetic Response Generation Capabilities for Online Mental Health Counselling Supportcited by 17
- 2023MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Controlcited by 11
Built on by
Citing papers per year: 2025: 3; 2026: 5.
8 papers.
- 2025A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directionscited by 12
- 2025Preference Learning Unlocks LLMs' Psycho-Counseling Skillscited by 9
- 2026Multi-Agent Debate Strategies: Survey, Taxonomy, and Challengescited by 3
- 2025Interaction Protocol Shapes Moral Judgment in Multi-Agent Debatecited by 2
- 2026MindTailor: Personalized Emotional Support via Post History-Grounded Case Formulation and Collaborative Refinementcited by 0
- 2026Copewell: A Multi-Agent Swarm Architecture for Equitable Mental Wellness Supportcited by 0
- 2026From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Healthcited by 0
- 2026MACBT: A Multi-Agent Cognitive Behavioral Therapy Decision Support System with Longitudinal Memorycited by 0
- 2026MACBT: A Multi-Agent Cognitive Behavioral Therapy Decision Support System with Longitudinal Memory25 Sep 2026
- 2026From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Health21 Sep 2026
- 2026Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges28 Jul 2026
- 2026Copewell: A Multi-Agent Swarm Architecture for Equitable Mental Wellness Support2 Jul 2026
- 2026MindTailor: Personalized Emotional Support via Post History-Grounded Case Formulation and Collaborative Refinement20 Jun 2026
- 2025Interaction Protocol Shapes Moral Judgment in Multi-Agent Debate11 Oct 2025
- 2025Preference Learning Unlocks LLMs' Psycho-Counseling Skills27 Feb 2025
- 2025A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions16 Feb 2025
Similar, not cited
Close in wording, no citation either way
- 2025MindEval: Benchmarking Language Models on Multi-turn Mental Health Support
- 2023An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives
- 2024Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions
- 2025TheraMind: A Strategic and Adaptive Agent for Longitudinal Psychological Counseling
- 2023Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support
- 2026PsyEvo: A Personalized Counseling Agent That Self-Evolves at Test Time
- 2025An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation
- 2026CARE: Counselor-Aligned Response Engine for Online Mental-Health Support