activity
20232026
most citedSocialSim: Towards Socialized Simulation of Emotional Support Conversation

5 citations · 16 across the 10 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CL2025

Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning

Zhuang Chen, Guanqun Bi, Wen Zhang +5

Depression is a widespread mental disorder that affects millions worldwide. While automated depression assessment shows promise, most studies rely on limited or non-clinically vali…

cs.CL2025

Reframe Your Life Story: Interactive Narrative Therapist and Innovative Moment Assessment with Large Language Models

Yi Feng, Jiaqi Wang, Wenxuan Zhang +6

Recent progress in large language models (LLMs) has opened new possibilities for mental health support, yet current approaches lack realism in simulating specialized psychotherapy…

cs.CL2025★ 5 cited

SocialSim: Towards Socialized Simulation of Emotional Support Conversation

Zhuang Chen, Yaru Cao, Guanqun Bi +6

Emotional support conversation (ESC) helps reduce people's psychological stress and provide emotional value through interactive dialogues. Due to the high cost of crowdsourcing a l…

cs.CL2025

Ψ-Arena: Interactive Assessment and Optimization of LLM-based Psychological Counselors with Tripartite Feedback

Shijing Zhu, Zhuang Chen, Guanqun Bi +10

Large language models (LLMs) have shown promise in providing scalable mental health support, while evaluating their counseling capability remains crucial to ensure both efficacy an…

cs.CL2025

MAGI: Multi-Agent Guided Interview for Psychiatric Assessment

Guanqun Bi, Zhuang Chen, Zhoufu Liu +9

Automating structured clinical interviews could revolutionize mental healthcare accessibility, yet existing large language models (LLMs) approaches fail to align with psychiatric d…

cs.CL2025★ 3 cited

Enhanced Large Language Models for Effective Screening of Depression and Anxiety

June M. Liu, Mengxia Gao, Sahand Sabour +3

Depressive and anxiety disorders are widespread, necessitating timely identification and management. Recent advances in Large Language Models (LLMs) offer potential solutions, yet…