The rise and potential of large language model based agents: A survey

Z **, W Chen, X Guo, W He, Y Ding, B Hong… - Science China …, 2025 - Springer
For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …

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] ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope

PP Ray - Internet of Things and Cyber-Physical Systems, 2023 - Elsevier
In recent years, artificial intelligence (AI) and machine learning have been transforming the
landscape of scientific research. Out of which, the chatbot technology has experienced …

Challenges and applications of large language models

J Kaddour, J Harris, M Mozes, H Bradley… - arxiv preprint arxiv …, 2023 - arxiv.org
Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

In-context impersonation reveals Large Language Models' strengths and biases

L Salewski, S Alaniz, I Rio-Torto… - Advances in Neural …, 2024 - proceedings.neurips.cc
In everyday conversations, humans can take on different roles and adapt their vocabulary to
their chosen roles. We explore whether LLMs can take on, that is impersonate, different roles …

Reasoning with language model prompting: A survey

S Qiao, Y Ou, N Zhang, X Chen, Y Yao, S Deng… - arxiv preprint arxiv …, 2022 - arxiv.org
Reasoning, as an essential ability for complex problem-solving, can provide back-end
support for various real-world applications, such as medical diagnosis, negotiation, etc. This …

Large language models as general pattern machines

S Mirchandani, F **a, P Florence, B Ichter… - arxiv preprint arxiv …, 2023 - arxiv.org
We observe that pre-trained large language models (LLMs) are capable of autoregressively
completing complex token sequences--from arbitrary ones procedurally generated by …

ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management

S Fosso Wamba, C Guthrie, MM Queiroz… - International Journal of …, 2024 - Taylor & Francis
ChatGPT and generative artificial intelligence (Gen-AI) are transforming firms and supply
chains. However, the empirical literature reporting the benefits, challenges, and outlook of …

Embers of autoregression show how large language models are shaped by the problem they are trained to solve

RT McCoy, S Yao, D Friedman, MD Hardy… - Proceedings of the …, 2024 - pnas.org
The widespread adoption of large language models (LLMs) makes it important to recognize
their strengths and limitations. We argue that to develop a holistic understanding of these …

Playing repeated games with large language models

E Akata, L Schulz, J Coda-Forno, SJ Oh… - arxiv preprint arxiv …, 2023 - arxiv.org
Large Language Models (LLMs) are transforming society and permeating into diverse
applications. As a result, LLMs will frequently interact with us and other agents. It is …