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Author

Iryna Gurevych

6 papers indexed here

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Open access Sep 2026

From Symptom Networks to Conversation Networks: A Cross-Sectional Study Mapping the Topology of Suicide-Related Clinical Dialogue

Suicide risk assessment in clinical conversations relies on the sequential structure of therapist-patient dialogue, yet formal models of how suicide-related content emerges, transitions, and re-ciprocates across conversational turns are lacking. We applied network analysis to C-SSRS-coded utterances from psychotherapy...

O. Grimm, C. Landau, S. Arampatzi et al. · 0 citations
#artificial intelligence Preprint Dec 2025

Testing the Utility of Using Large Language Models to Create Personalized Networks From Therapy Session Transcripts: A Proof of Concept Study

An end-to-end pipeline for automatically generating client networks from therapy transcripts to support case conceptualization and treatment planning and more research is needed to examine whether these networks improve treatment outcomes, including relative to other methods of treatment personalization, such as statis...

Clarissa W. Ong, Hiba Arnaout, Kate Sheehan et al. · 2 citations
Preprint Aug 2026

ODRA: Synthesizing Cognitive Behavioral Therapy Sessions with Structured Chain-Of-Thought and Dynamic Patient Resistance

ODRA is introduced, a novel framework for synthesizing therapy dialogues through a Chain-of-Thought (CoT) strategy grounded in foundational CBT guidelines, which significantly outperforms existing methods across therapeutic skills, CBT alignment, and patient behavioral fidelity.

Javier Rodríguez-Juan, Hiba Arnaout, J. García-Rodríguez et al. · 0 citations
Jul 2026

Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects

FEGA is introduced, an unsupervised framework that removes the same active SAE feature across contexts and analyzes the resulting cloud of logit changes, showing that a feature can be interpretable and causally relevant without providing a stable direction for steering.

Phu Gia Hoang, Anwoy Chatterjee, Tanmoy Chakraborty et al. · 0 citations

Graph2Counsel: Clinically Grounded Synthetic Counseling Dialogue Generation from Client Psychological Graphs

Graph2Counsel is introduced, a framework for generating synthetic counseling sessions grounded in Client Psychological Graphs that encode relationships among clients'thoughts, emotions, and behaviors, and Therapy-Eval is introduced, a multi-turn evaluation framework, and the effectiveness of the fine-tuned model in rea...

Aishik Mandal, Hiba Arnaout, Clarissa W. Ong et al. · 3 citations

MAGneT: Coordinated Multi-Agent Generation of Synthetic Multi-Turn Mental Health Counseling Sessions

The growing demand for scalable psychological counseling highlights the need for high-quality, privacy-compliant data, yet such data remains scarce. Here we introduce MAGneT, a novel multi-agent framework for synthetic psychological counseling session generation that decomposes counselor response generation into coordi...

Aishik Mandal, Tanmoy Chakraborty, Iryna Gurevych · 7 citations

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