{
  "id": 9610,
  "url": "https://doi.org/10.1145/3643540",
  "title": "Mental-LLM",
  "summary": "Advances in large language models (LLMs) have empowered a variety of applications. However, there is still a significant gap in research when it comes to understanding and enhancing the capabilities of LLMs in the field of mental health. In this work, we present a comprehensive evaluation of multiple LLMs on various mental health prediction tasks via online text data, including Alpaca, Alpaca-LoRA, FLAN-T5, GPT-3.5, and GPT-4. We conduct a broad range of experiments, covering zero-shot prompting",
  "authors": "Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James Hendler",
  "category": "research",
  "topics": "healthcare",
  "orgs": "openai",
  "regions": null,
  "published_at": "2024-03-06T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:57.580Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9610",
  "original_url": "https://doi.org/10.1145/3643540",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}