MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control
Yeonji Lee, Sangjun Park, Kyunghyun Cho, JinYeong Bak

TL;DR
MentalAgora is an innovative multi-agent framework that leverages large language models to provide personalized, expert-aligned mental health support through strategic debating and attribute control, improving digital mental health interventions.
Contribution
Introduces MentalAgora, a novel multi-agent debating framework that dynamically customizes mental health responses based on user preferences and professional standards.
Findings
Generates expert-aligned responses consistent with mental health standards.
Enhances user satisfaction by tailoring responses to individual preferences.
Sets a new benchmark for digital mental health support systems.
Abstract
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…
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Taxonomy
TopicsMental Health Research Topics · Mental Health and Psychiatry
