4 papers · 1 filter
AI Safety Training Can be Clinically Harmful
Suhas BN, Andrew M. Sherrill, Rosa I. Arriaga +2
Large language models are being deployed as mental health support agents at scale, yet only 16% of LLM-based chatbot interventions have undergone rigorous clinical efficacy testing…
The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Support
Suhas BN, Yash Mahajan, Dominik Mattioli +4
This paper investigates the capacity of small language models (0.5B-5B parameters) to generate empathetic responses for individuals with PTSD. We introduce Trauma-Informed Dialogue…
How Real Are Synthetic Therapy Conversations? Evaluating Fidelity in Prolonged Exposure Dialogues
Suhas BN, Dominik Mattioli, Saeed Abdullah +3
Synthetic data adoption in healthcare is driven by privacy concerns, data access limitations, and high annotation costs. We explore synthetic Prolonged Exposure (PE) therapy conver…
Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization
Suhas BN, Han-Chin Shing, Lei Xu +9
Hallucinations in large language models (LLMs) during summarization of patient-clinician dialogues pose significant risks to patient care and clinical decision-making. However, the…