Large Language Models for Mental Health: A Multilingual Evaluation (2026 · 4 citations)
Most work on LLMs for mental health text uses English data, so it is unclear how these models perform on languages other than English.
Mental Health Disorder Detection beyond Social Media: A Systematic Review of Available Datasets (2026 · 2 citations)
Most NLP work on automatically detecting mental health disorders is built on social media posts. That data has known problems: skewed user demographics, self-selection of people who discuss their condition openly, consent and privacy issues, and shrinking API access. This paper asks what free-text alternatives exist…
On the Role of Context in LLM Alignment to Mental Health Counseling Competencies (2026)
Large language models can reach passing scores on mental health counseling exams. This paper asks whether those scores come from reasoning about the individual patient or from general symptom-to-diagnosis associations. The authors test LLaMA-3-8B-Instruct, LLaMA-3-70B-Instruct and the medically tuned OpenBioLLM-70B…

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Papers of our library cite their works 5 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026