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 …

Tool learning with large language models: A survey

C Qu, S Dai, X Wei, H Cai, S Wang, D Yin, J Xu… - Frontiers of Computer …, 2025 - Springer
Recently, tool learning with large language models (LLMs) has emerged as a promising
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …

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 …

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 …

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

J Su, C Jiang, X **, Y Qiao, T **ao, 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 …

[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 …

[HTML][HTML] A systematic review of the first year of publications on ChatGPT and language education: Examining research on ChatGPT's use in language learning and …

B Li, VL Lowell, C Wang, X Li - Computers and Education: Artificial …, 2024 - Elsevier
This systematic review aims to explore published research on the use of ChatGPT in
language learning between November 2022 and November 2023, outlining the types of …