Papers by Suhas Bn

2 papers
The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Support (2025.emnlp-main)

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Challenge: Claude Sonnet 3.5 consistently outperforms all models, but smaller models often approach human-rated empathy levels.
Approach: They introduce a dataset comprising 10,000 two-turn conversations across 500 diverse, clinically-grounded PTSD personas.
Outcome: The proposed model outperforms all models but has a "knowledge transfer ceiling" older adults prefer validation responses while graduate-educated users prefer emotionally layered responses .
How Real Are Synthetic Therapy Conversations? Evaluating Fidelity in Prolonged Exposure Dialogues (2025.findings-emnlp)

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Challenge: Synthetic data adoption in healthcare is driven by privacy concerns, data access limitations, and high annotation costs.
Approach: They compare real and synthetic PTSD therapy conversations using linguistic, structural, and protocol-specific metrics like turn-taking and treatment fidelity.
Outcome: The proposed framework assesses clinical fidelity beyond surface fluency.

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