Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, Q Al Tashi, A Shah, R Qureshi… - Authorea …, 2024 - authorea.com
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

[HTML][HTML] The application of large language models in medicine: A scoping review

X Meng, X Yan, K Zhang, D Liu, X Cui, Y Yang… - Iscience, 2024 - cell.com
This study systematically reviewed the application of large language models (LLMs) in
medicine, analyzing 550 selected studies from a vast literature search. LLMs like ChatGPT …

Reclaiming AI as a theoretical tool for cognitive science

I Van Rooij, O Guest, F Adolfi, R de Haan… - Computational Brain & …, 2024 - Springer
The idea that human cognition is, or can be understood as, a form of computation is a useful
conceptual tool for cognitive science. It was a foundational assumption during the birth of …

Competeai: Understanding the competition behaviors in large language model-based agents

Q Zhao, J Wang, Y Zhang, Y Jin, K Zhu, H Chen… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have been widely used as agents to complete different
tasks, such as personal assistance or event planning. While most work has focused on …

Exploring the frontiers of llms in psychological applications: A comprehensive review

L Ke, S Tong, P Cheng, K Peng - arXiv preprint arXiv:2401.01519, 2024 - arxiv.org
This paper explores the frontiers of large language models (LLMs) in psychology
applications. Psychology has undergone several theoretical changes, and the current use of …

The sociolinguistic foundations of language modeling

J Grieve, S Bartl, M Fuoli, J Grafmiller, W Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we introduce a sociolinguistic perspective on language modeling. We claim
that large language models are inherently models of varieties of language, and we consider …

Active inference goes to school: the importance of active learning in the age of large language models

LD Di Paolo, B White… - Philosophical …, 2024 - royalsocietypublishing.org
Human learning essentially involves embodied interactions with the material world. But our
worlds now include increasing numbers of powerful and (apparently) disembodied …

Large language models assume people are more rational than we really are

R Liu, J Geng, JC Peterson, I Sucholutsky… - arXiv preprint arXiv …, 2024 - arxiv.org
In order for AI systems to communicate effectively with people, they must understand how we
make decisions. However, people's decisions are not always rational, so the implicit internal …

Abq-llm: Arbitrary-bit quantized inference acceleration for large language models

C Zeng, S Liu, Y Xie, H Liu, X Wang, M Wei… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have revolutionized natural language processing tasks.
However, their practical application is constrained by substantial memory and computational …

Advancing ITS Applications with LLMs: A Survey on Traffic Management, Transportation Safety, and Autonomous Driving

D Zhang, H Zheng, W Yue, X Wang - International Joint Conference on …, 2024 - Springer
In the past two years, large language models (LLMs) have shown extensive attention in the
applications of intelligent transportation systems (ITS). Despite the huge potential, there is …