arXiv AI By Philipp Steigerwald, Jens Albrecht

From "Help" to Helpful: A Hierarchical Assessment of LLMs in Mental e-Health Applications

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arXiv:2602. 18443v2 Announce Type: replace-cross Abstract: Psychosocial online counselling frequently encounters generic subject lines that impede efficient case prioritisation.

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arXiv AI
Jun 24

One Year Later...The Harms Persist, But So Do We!

arXiv:2606. 23884v1 Announce Type: cross Abstract: General-purpose large language models (LLMs) are increasingly used for mental health-related conversations, yet safety safeguards remain inadequate and inconsistent across clinical conditions.

By Annika Marie Schoene, Cansu Canca, Gautham Vijay Kumar, Anson Antony
arXiv AI
Jul 10

MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters

arXiv:2607. 08257v1 Announce Type: new Abstract: Large language models (LLMs) have shown strong performance on isolated psychiatric tasks, including dialogue, diagnosis, and treatment planning, yet existing benchmarks rarely simulate complete psychiatric clinical encounters.

By Yuming Yang, Xiao Sun, Yuanwei Zou, Zhengxiao Wu, Yun Chen, Jiang Zhong, Haoyang Zeng, Jingwang Huang, Kaiwen Wei