A brief overview of ChatGPT: The history, status quo and potential future development

T Wu, S He, J Liu, S Sun, K Liu… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI,
has attracted world-wide attention for its capability of dealing with challenging language …

A survey on large language model based autonomous agents

L Wang, C Ma, X Feng, Z Zhang, H Yang… - Frontiers of Computer …, 2024 - Springer
Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …

Llama 2: Open foundation and fine-tuned chat models

H Touvron, L Martin, K Stone, P Albert… - arxiv preprint arxiv …, 2023 - arxiv.org
In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large
language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine …

[PDF][PDF] A survey of large language models

WX Zhao, K Zhou, J Li, T Tang… - arxiv preprint arxiv …, 2023 - paper-notes.zhjwpku.com
Ever since the Turing Test was proposed in the 1950s, humans have explored the mastering
of language intelligence by machine. Language is essentially a complex, intricate system of …

The llama 3 herd of models

A Dubey, A Jauhri, A Pandey, A Kadian… - arxiv preprint arxiv …, 2024 - arxiv.org
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …

Toward expert-level medical question answering with large language models

K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn… - Nature Medicine, 2025 - nature.com
Large language models (LLMs) have shown promise in medical question answering, with
Med-PaLM being the first to exceed a 'passing'score in United States Medical Licensing …

Reflexion: Language agents with verbal reinforcement learning

N Shinn, F Cassano, A Gopinath… - Advances in …, 2023 - proceedings.neurips.cc
Large language models (LLMs) have been increasingly used to interact with external
environments (eg, games, compilers, APIs) as goal-driven agents. However, it remains …

Graph of thoughts: Solving elaborate problems with large language models

M Besta, N Blach, A Kubicek, R Gerstenberger… - Proceedings of the …, 2024 - ojs.aaai.org
Abstract We introduce Graph of Thoughts (GoT): a framework that advances prompting
capabilities in large language models (LLMs) beyond those offered by paradigms such as …

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 …

Large language models as optimizers

C Yang, X Wang, Y Lu, H Liu, QV Le, D Zhou… - arxiv preprint arxiv …, 2023 - arxiv.org
Optimization is ubiquitous. While derivative-based algorithms have been powerful tools for
various problems, the absence of gradient imposes challenges on many real-world …