Opportunities and challenges for ChatGPT and large language models in biomedicine and health

S Tian, Q Jin, L Yeganova, PT Lai, Q Zhu… - Briefings in …, 2024 - academic.oup.com
ChatGPT has drawn considerable attention from both the general public and domain experts
with its remarkable text generation capabilities. This has subsequently led to the emergence …

A survey of large language models in medicine: Progress, application, and challenge

H Zhou, F Liu, B Gu, X Zou, J Huang, J Wu, Y Li… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs), such as ChatGPT, have received substantial attention due
to their capabilities for understanding and generating human language. While there has …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arXiv preprint arXiv …, 2023 - arxiv.org
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

[HTML][HTML] How does ChatGPT perform on the United States Medical Licensing Examination (USMLE)? The implications of large language models for medical education …

A Gilson, CW Safranek, T Huang, V Socrates… - JMIR medical …, 2023 - mededu.jmir.org
Background: Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter
natural language processing model that can generate conversation-style responses to user …

The flan collection: Designing data and methods for effective instruction tuning

S Longpre, L Hou, T Vu, A Webson… - International …, 2023 - proceedings.mlr.press
We study the design decision of publicly available instruction tuning methods, by
reproducing and breaking down the development of Flan 2022 (Chung et al., 2022) …

Detectgpt: Zero-shot machine-generated text detection using probability curvature

E Mitchell, Y Lee, A Khazatsky… - International …, 2023 - proceedings.mlr.press
The increasing fluency and widespread usage of large language models (LLMs) highlight
the desirability of corresponding tools aiding detection of LLM-generated text. In this paper …

Capabilities of gpt-4 on medical challenge problems

H Nori, N King, SM McKinney, D Carignan… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have demonstrated remarkable capabilities in natural
language understanding and generation across various domains, including medicine. We …

Large language models encode clinical knowledge

K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei… - arXiv preprint arXiv …, 2022 - arxiv.org
Large language models (LLMs) have demonstrated impressive capabilities in natural
language understanding and generation, but the quality bar for medical and clinical …

Galactica: A large language model for science

R Taylor, M Kardas, G Cucurull, T Scialom… - arXiv preprint arXiv …, 2022 - arxiv.org
Information overload is a major obstacle to scientific progress. The explosive growth in
scientific literature and data has made it ever harder to discover useful insights in a large …

Towards expert-level medical question answering with large language models

K Singhal, T Tu, J Gottweis, R Sayres… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent artificial intelligence (AI) systems have reached milestones in" grand challenges"
ranging from Go to protein-folding. The capability to retrieve medical knowledge, reason …