Results 11 to 20 of about 9,278,000 (361)

MetaGPT: Meta Programming for Multi-Agent Collaborative Framework [PDF]

arXiv.org, 2023
Recently, remarkable progress has been made in automated task-solving through the use of multi-agent driven by large language models (LLMs). However, existing LLM-based multi-agent works primarily focus on solving simple dialogue tasks, and complex tasks
Sirui Hong, Xiawu Zheng, Jonathan P. Chen, Yuheng Cheng, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Z. Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu   +11 more
semanticscholar   +1 more source

Mind2Web: Towards a Generalist Agent for the Web [PDF]

Neural Information Processing Systems, 2023
We introduce Mind2Web, the first dataset for developing and evaluating generalist agents for the web that can follow language instructions to complete complex tasks on any website.
Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su   +7 more
semanticscholar   +1 more source

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate [PDF]

arXiv.org, 2023
Text evaluation has historically posed significant challenges, often demanding substantial labor and time cost. With the emergence of large language models (LLMs), researchers have explored LLMs' potential as alternatives for human evaluation.
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shan Zhang, Jie Fu, Zhiyuan Liu   +7 more
semanticscholar   +1 more source

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents [PDF]

International Conference on Learning Representations, 2023
Autonomous agents empowered by Large Language Models (LLMs) have undergone significant improvements, enabling them to generalize across a broad spectrum of tasks.
Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Cheng Qian, Chi-Min Chan, Yujia Qin, Ya-Ting Lu, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou   +12 more
semanticscholar   +1 more source

A Generalist Agent [PDF]

Trans. Mach. Learn. Res., 2022
Inspired by progress in large-scale language modeling, we apply a similar approach towards building a single generalist agent beyond the realm of text outputs.
S. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Giménez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley D. Edwards, N. Heess, Yutian Chen, R. Hadsell, O. Vinyals, Mahyar Bordbar, Nando de Freitas   +19 more
semanticscholar   +1 more source

Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents [PDF]

arXiv.org, 2023
In this paper, we present a novel framework for enhancing the capabilities of large language models (LLMs) by leveraging the power of multi-agent systems.
Yashar Talebirad, Amirhossein Nadiri
semanticscholar   +1 more source

AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting [PDF]

IEEE International Conference on Computer Vision, 2021
Predicting accurate future trajectories of multiple agents is essential for autonomous systems but is challenging due to the complex interaction between agents and the uncertainty in each agent’s future behavior.
Ye Yuan, Xinshuo Weng, Yanglan Ou, Kris Kitani   +3 more
semanticscholar   +1 more source

VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation [PDF]

Computer Vision and Pattern Recognition, 2020
Behavior prediction in dynamic, multi-agent systems is an important problem in the context of self-driving cars, due to the complex representations and interactions of road components, including moving agents (e.g.
Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, C. Schmid   +6 more
semanticscholar   +1 more source

Counterfactual Multi-Agent Policy Gradients [PDF]

AAAI Conference on Artificial Intelligence, 2017
Many real-world problems, such as network packet routing and the coordination of autonomous vehicles, are naturally modelled as cooperative multi-agent systems.
Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson   +4 more
semanticscholar   +1 more source

Assessing the effect of patient screening and isolation on curtailing Clostridium difficile infection in hospital settings

BMC Infectious Diseases, 2017
Background Patient screening at the time of hospital admission is not recommended as a routine practice, but may be an important strategy for containment of Clostridium difficile infection (CDI) in hospital settings.
Sara Maghdoori, Seyed M. Moghadas
doaj   +1 more source