CPEMH: Agentic Framework for Prompt-Driven Behavior Assurance in Foundation-Model Systems for Mental Health Screening
A recent study presents CPEMH, a framework designed to assess prompt-driven actions in foundation-model systems for mental health evaluations. This framework incorporates a coordinated architecture comprising orchestrator, inference, and evaluation agents that autonomously create, assess, and choose prompt strategies, thereby guaranteeing traceability, reproducibility, and robustness. A case study focusing on automated depression screening from interview transcripts illustrates its ability to stabilize and monitor model behavior in sensitive clinical areas. The research highlights the importance of modular orchestration for ensuring behavioral reliability in extensive language systems.
Key facts
- CPEMH is an agentic framework for prompt-driven behavior evaluation.
- It targets foundation-model systems for mental health screening.
- The framework uses an orchestrated architecture with three agent types.
- It autonomously designs, evaluates, and selects prompt strategies.
- A case study focused on automated depression screening from transcripts.
- The framework aims to stabilize and audit model behavior.
- It ensures traceability, reproducibility, and robustness.
- The paper is published on arXiv with ID 2605.11341.
Entities
Institutions
- arXiv