[HTML][HTML] A survey of GPT-3 family large language models including ChatGPT and GPT-4

KS Kalyan - Natural Language Processing Journal, 2024 - Elsevier
Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

A survey of hallucination in large foundation models

V Rawte, A Sheth, A Das - arxiv preprint arxiv:2309.05922, 2023 - arxiv.org
Hallucination in a foundation model (FM) refers to the generation of content that strays from
factual reality or includes fabricated information. This survey paper provides an extensive …

A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

L Huang, W Yu, W Ma, W Zhong, Z Feng… - ACM Transactions on …, 2025 - dl.acm.org
The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …

Siren's song in the AI ocean: a survey on hallucination in large language models

Y Zhang, Y Li, L Cui, D Cai, L Liu, T Fu… - arxiv preprint arxiv …, 2023 - arxiv.org
While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …

Leveraging generative AI and large language models: a comprehensive roadmap for healthcare integration

P Yu, H Xu, X Hu, C Deng - Healthcare, 2023 - mdpi.com
Generative artificial intelligence (AI) and large language models (LLMs), exemplified by
ChatGPT, are promising for revolutionizing data and information management in healthcare …

[HTML][HTML] Large language models in healthcare and medical domain: A review

ZA Nazi, W Peng - Informatics, 2024 - mdpi.com
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …

Cognitive mirage: A review of hallucinations in large language models

H Ye, T Liu, A Zhang, W Hua, W Jia - arxiv preprint arxiv:2309.06794, 2023 - arxiv.org
As large language models continue to develop in the field of AI, text generation systems are
susceptible to a worrisome phenomenon known as hallucination. In this study, we …

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 …

Medagents: Large language models as collaborators for zero-shot medical reasoning

X Tang, A Zou, Z Zhang, Z Li, Y Zhao, X Zhang… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs), despite their remarkable progress across various general
domains, encounter significant barriers in medicine and healthcare. This field faces unique …

[PDF][PDF] Towards accurate differential diagnosis with large language models

D McDuff, M Schaekermann, T Tu… - arxiv preprint arxiv …, 2023 - jakegarrison.me
An accurate differential diagnosis (DDx) is a cornerstone of medical care, often reached
through an iterative process of interpretation that combines clinical history, physical …