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 …

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

Z Xi, W Chen, X Guo, W He, Y Ding, B Hong… - arXiv preprint arXiv …, 2023 - arxiv.org
For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

Communicative agents for software development

C Qian, X Cong, C Yang, W Chen, Y Su, J Xu… - arXiv preprint arXiv …, 2023 - arxiv.org
Software engineering is a domain characterized by intricate decision-making processes,
often relying on nuanced intuition and consultation. Recent advancements in deep learning …

Exploring large language model based intelligent agents: Definitions, methods, and prospects

Y Cheng, C Zhang, Z Zhang, X Meng, S Hong… - arXiv preprint arXiv …, 2024 - arxiv.org
Intelligent agents stand out as a potential path toward artificial general intelligence (AGI).
Thus, researchers have dedicated significant effort to diverse implementations for them …

Gpt-4v in wonderland: Large multimodal models for zero-shot smartphone gui navigation

A Yan, Z Yang, W Zhu, K Lin, L Li, J Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
We present MM-Navigator, a GPT-4V-based agent for the smartphone graphical user
interface (GUI) navigation task. MM-Navigator can interact with a smartphone screen as …

Dspy: Compiling declarative language model calls into self-improving pipelines

O Khattab, A Singhvi, P Maheshwari, Z Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
The ML community is rapidly exploring techniques for prompting language models (LMs)
and for stacking them into pipelines that solve complex tasks. Unfortunately, existing LM …

Avalon's game of thoughts: Battle against deception through recursive contemplation

S Wang, C Liu, Z Zheng, S Qi, S Chen, Q Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent breakthroughs in large language models (LLMs) have brought remarkable success
in the field of LLM-as-Agent. Nevertheless, a prevalent assumption is that the information …

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 …

Surrealdriver: Designing generative driver agent simulation framework in urban contexts based on large language model

Y Jin, X Shen, H Peng, X Liu, J Qin, J Li, J Xie… - arXiv preprint arXiv …, 2023 - arxiv.org
Simulation plays a critical role in the research and development of autonomous driving and
intelligent transportation systems. However, the current simulation platforms exhibit …

[HTML][HTML] LLMs in e-commerce: a comparative analysis of GPT and LLaMA models in product review evaluation

KI Roumeliotis, ND Tselikas, DK Nasiopoulos - Natural Language …, 2024 - Elsevier
E-commerce has witnessed remarkable growth, especially following the easing of COVID-19
restrictions. Many people, who were initially hesitant about online shopping, have now …