[HTML][HTML] 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 …

Large language model based multi-agents: A survey of progress and challenges

T Guo, X Chen, Y Wang, R Chang, S Pei… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have achieved remarkable success across a wide array of
tasks. Due to the impressive planning and reasoning abilities of LLMs, they have been used …

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 …

On generative agents in recommendation

A Zhang, Y Chen, L Sheng, X Wang… - Proceedings of the 47th …, 2024 - dl.acm.org
Recommender systems are the cornerstone of today's information dissemination, yet a
disconnect between offline metrics and online performance greatly hinders their …

Cognitive architectures for language agents

TR Sumers, S Yao, K Narasimhan… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent efforts have incorporated large language models (LLMs) with external resources (eg,
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …

Identifying the risks of lm agents with an lm-emulated sandbox

Y Ruan, H Dong, A Wang, S Pitis, Y Zhou, J Ba… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent advances in Language Model (LM) agents and tool use, exemplified by applications
like ChatGPT Plugins, enable a rich set of capabilities but also amplify potential risks-such …

Language agents with reinforcement learning for strategic play in the werewolf game

Z Xu, C Yu, F Fang, Y Wang, Y Wu - arXiv preprint arXiv:2310.18940, 2023 - arxiv.org
Agents built with large language models (LLMs) have recently achieved great
advancements. However, most of the efforts focus on single-agent or cooperative settings …

Metaagents: Simulating interactions of human behaviors for llm-based task-oriented coordination via collaborative generative agents

Y Li, Y Zhang, L Sun - arXiv preprint arXiv:2310.06500, 2023 - arxiv.org
Significant advancements have occurred in the application of Large Language Models
(LLMs) for various tasks and social simulations. Despite this, their capacities to coordinate …

Agentcf: Collaborative learning with autonomous language agents for recommender systems

J Zhang, Y Hou, R Xie, W Sun, J McAuley… - Proceedings of the …, 2024 - dl.acm.org
Recently, there has been an emergence of employing LLM-powered agents as believable
human proxies, based on their remarkable decision-making capability. However, existing …

Digital life project: Autonomous 3d characters with social intelligence

Z Cai, J Jiang, Z Qing, X Guo… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this work we present Digital Life Project a framework utilizing language as the universal
medium to build autonomous 3D characters who are capable of engaging in social …