7 papers
Unsupervised Cross-device Speaker Diarization And Linking Through Spatiotemporal Structure
Suhas BN, Nikitha K
Linking speakers across independently recorded rooms is difficult because microphone, room, and codec mismatch distort speaker embeddings. We study visitor linking without visitor…
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…
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…
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…
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…