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 **, 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 …

Camel: Communicative agents for" mind" exploration of large language model society

G Li, H Hammoud, H Itani… - Advances in Neural …, 2023‏ - proceedings.neurips.cc
The rapid advancement of chat-based language models has led to remarkable progress in
complex task-solving. However, their success heavily relies on human input to guide the …

Large language models for information retrieval: A survey

Y Zhu, H Yuan, S Wang, J Liu, W Liu, C Deng… - arxiv preprint arxiv …, 2023‏ - arxiv.org
As a primary means of information acquisition, information retrieval (IR) systems, such as
search engines, have integrated themselves into our daily lives. These systems also serve …

Foundations & trends in multimodal machine learning: Principles, challenges, and open questions

PP Liang, A Zadeh, LP Morency - ACM Computing Surveys, 2024‏ - dl.acm.org
Multimodal machine learning is a vibrant multi-disciplinary research field that aims to design
computer agents with intelligent capabilities such as understanding, reasoning, and learning …

Cognitive architectures for language agents

T Sumers, S Yao, K Narasimhan… - Transactions on Machine …, 2023‏ - openreview.net
Recent efforts have augmented large language models (LLMs) with external resources (eg,
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …

Autogen: Enabling next-gen llm applications via multi-agent conversation

Q Wu, G Bansal, J Zhang, Y Wu, B Li, E Zhu… - arxiv preprint arxiv …, 2023‏ - arxiv.org
AutoGen is an open-source framework that allows developers to build LLM applications via
multiple agents that can converse with each other to accomplish tasks. AutoGen agents are …

Personal llm agents: Insights and survey about the capability, efficiency and security

Y Li, H Wen, W Wang, X Li, Y Yuan, G Liu, J Liu… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Since the advent of personal computing devices, intelligent personal assistants (IPAs) have
been one of the key technologies that researchers and engineers have focused on, aiming …

Visualwebarena: Evaluating multimodal agents on realistic visual web tasks

JY Koh, R Lo, L Jang, V Duvvur, MC Lim… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Autonomous agents capable of planning, reasoning, and executing actions on the web offer
a promising avenue for automating computer tasks. However, the majority of existing …

Chatdev: Communicative agents for software development

C Qian, W Liu, H Liu, N Chen, Y Dang, J Li… - 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 …