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cs.AI2026
An Agentic LLM-Based Framework for Population-Scale Mental Health Screening
Giuliano Lorenzoni, Paulo Alencar, Donald Cowan
Mental health disorders affect millions worldwide, and healthcare systems are increasingly overwhelmed by the volume of clinical data generated from electronic records, telemedicin…
cs.AI2026
LLM-X: A Scalable Negotiation-Oriented Exchange for Communication Among Personal LLM Agents
Giuliano Lorenzoni, Paulo Alencar, Donald Cowan
We propose a personal-LLM exchange (LLM-X), a scalable negotiation-oriented environment that enables direct, structured communication across populations of personal agents (LLMs),…
cs.AI2026
CPEMH: An Agentic Framework for Prompt-Driven Behavior Evaluation and Assurance in Foundation-Model Systems for Mental Health Screening
Giuliano Lorenzoni, Ivens Portugal, Paulo Alencar +1
This paper presents CPEMH, an agentic framework designed to evaluate prompt-driven behavior in foundation-model systems operating on transcript-based datasets for mental-health scr…