A Safety-Aware Role-Orchestrated Multi-Agent LLM Framework for Behavioral Health Communication Simulation
#multi-agent #LLM #behavioral health #safety #simulation #communication #role-orchestration
📌 Key Takeaways
- A new multi-agent LLM framework is designed for behavioral health communication simulations.
- The framework emphasizes safety awareness to prevent harmful outputs in sensitive contexts.
- It uses role-orchestration to manage interactions between different AI agents.
- The system aims to improve training and evaluation for behavioral health professionals.
📖 Full Retelling
arXiv:2604.00249v1 Announce Type: new
Abstract: Single-agent large language model (LLM) systems struggle to simultaneously support diverse conversational functions and maintain safety in behavioral health communication. We propose a safety-aware, role-orchestrated multi-agent LLM framework designed to simulate supportive behavioral health dialogue through coordinated, role-differentiated agents. Conversational responsibilities are decomposed across specialized agents, including empathy-focused,
🏷️ Themes
AI Safety, Healthcare Simulation
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Original Source
arXiv:2604.00249v1 Announce Type: new
Abstract: Single-agent large language model (LLM) systems struggle to simultaneously support diverse conversational functions and maintain safety in behavioral health communication. We propose a safety-aware, role-orchestrated multi-agent LLM framework designed to simulate supportive behavioral health dialogue through coordinated, role-differentiated agents. Conversational responsibilities are decomposed across specialized agents, including empathy-focused,
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