A comprehensive overview of large language models

H Naveed, AU Khan, S Qiu, M Saqib, S Anwar… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

[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 …

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 …

[PDF][PDF] Machine psychology: Investigating emergent capabilities and behavior in large language models using psychological methods

T Hagendorff - arXiv preprint arXiv:2303.13988, 2023 - cybershafarat.com
Large language models (LLMs) are currently at the forefront of intertwining AI systems with
human communication and everyday life. Due to rapid technological advances and their …

Large language models for forecasting and anomaly detection: A systematic literature review

J Su, C Jiang, X Jin, Y Qiao, T Xiao, H Ma… - arXiv preprint arXiv …, 2024 - arxiv.org
This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …

Knowledge conflicts for llms: A survey

R Xu, Z Qi, Z Guo, C Wang, H Wang, Y Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
This survey provides an in-depth analysis of knowledge conflicts for large language models
(LLMs), highlighting the complex challenges they encounter when blending contextual and …

Black-box access is insufficient for rigorous ai audits

S Casper, C Ezell, C Siegmann, N Kolt… - The 2024 ACM …, 2024 - dl.acm.org
External audits of AI systems are increasingly recognized as a key mechanism for AI
governance. The effectiveness of an audit, however, depends on the degree of access …

A survey on trustworthy edge intelligence: From security and reliability to transparency and sustainability

X Wang, B Wang, Y Wu, Z Ning… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Edge Intelligence (EI) integrates Edge Computing (EC) and Artificial Intelligence (AI) to push
the capabilities of AI to the network edge for real-time, efficient and secure intelligent …

Personal llm agents: Insights and survey about the capability, efficiency and security

Y Li, H Wen, W Wang, X Li, Y Yuan, G Liu, J Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Since the advent of personal computing devices, intelligent personal assistants (IPAs) have
been one of the key technologies that researchers and engineers have focused on, aiming …

[HTML][HTML] Multimodal large language models in health care: applications, challenges, and future outlook

R AlSaad, A Abd-Alrazaq, S Boughorbel… - Journal of medical …, 2024 - jmir.org
In the complex and multidimensional field of medicine, multimodal data are prevalent and
crucial for informed clinical decisions. Multimodal data span a broad spectrum of data types …