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Dominik O. Mattioli

2 accepted papers

2025

How Real Are Synthetic Therapy Conversations? Evaluating Fidelity in Prolonged Exposure Dialogues

EMNLP 2025

Synthetic data adoption in healthcare is driven by privacy concerns, data access limitations, and high annotation costs. We explore synthetic Prolonged Exposure (PE) therapy conversations for PTSD as a scalable alternative for training clinical models. We systematically compare real and synthetic di

Cited by 9SourcePDFScholar
2025

The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Support

EMNLP 2025

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 for Empathy (TIDE), a novel dataset comprising 10,000 two-turn conversations across 500 diverse, clinically-grounded PT

Cited by 0SourcePDFScholar