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cs.CL2026

Multi-dimensional Assessment and Explainable Feedback for Counselor Responses to Client Resistance in Text-based Counseling with LLMs

Anqi Li, Ruihan Wang, Zhaoming Chen +5

Effectively addressing client resistance is a sophisticated clinical skill in psychological counseling, yet practitioners often lack timely and scalable supervisory feedback to ref…

cs.CL2026

CARE: An Explainable Computational Framework for Assessing Client-Perceived Therapeutic Alliance Using Large Language Models

Anqi Li, Chenxiao Wang, Yu Lu +3

Client perceptions of the therapeutic alliance are critical for counseling effectiveness. Accurately capturing these perceptions remains challenging, as traditional post-session qu…

cs.CL2026

RECAP: Resistance Capture in Text-based Mental Health Counseling with Large Language Models

Anqi Li, Yuqian Chen, Yu Lu +3

Recognizing and navigating client resistance is critical for effective mental health counseling, yet detecting such behaviors is particularly challenging in text-based interactions…

cs.CL2026

PsyCLIENT: Client Simulation via Conversational Trajectory Modeling for Trainee Practice and Model Evaluation in Mental Health Counseling

Huachuan Qiu, Zhaoming Chen, Yuqian Chen +3

LLM-based client simulation has emerged as a promising tool for training novice counselors and evaluating automated counseling systems. However, existing client simulation approach…

cs.CL2024

Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs

Anqi Li, Yu Lu, Nirui Song +3

Robust therapeutic relationships between counselors and clients are fundamental to counseling effectiveness. The assessment of therapeutic alliance is well-established in tradition…