5 papers
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…
Fine-Tuning Large Audio-Language Models with LoRA for Precise Temporal Localization of Prolonged Exposure Therapy Elements
Suhas BN, Andrew M. Sherrill, Jyoti Alaparthi +4
Prolonged Exposure (PE) therapy is an effective treatment for post-traumatic stress disorder (PTSD), but evaluating therapist fidelity remains labor-intensive due to the need for m…
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…
Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations
Suhas BN, Andrew M. Sherrill, Rosa I. Arriaga +2
The advancement of AI systems for mental health support is hindered by limited access to therapeutic conversation data, particularly for trauma treatment. We present Thousand Voice…