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OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
v1v2 (latest)

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

29 May 2025
Mengkang Hu
Yuhang Zhou
Wendong Fan
Yuzhou Nie
Bowei Xia
Tao Sun
Ziyu Ye
Zhaoxuan Jin
Yingru Li
Qiguang Chen
Zeyu Zhang
Yifeng Wang
Qianshuo Ye
Bernard Ghanem
Ping Luo
Guohao Li
ArXiv (abs)PDFHTML

Papers citing "OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation"

3 / 53 papers shown
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications
Zike Yuan
Ming Liu
Hui Wang
Bing Qin
LLMAGAI4CE
216
2
0
25 Feb 2025
A Survey of Model Architectures in Information Retrieval
A Survey of Model Architectures in Information Retrieval
Zhichao Xu
Fengran Mo
Zhiqi Huang
Crystina Zhang
Puxuan Yu
Bei Wang
Jimmy J. Lin
Vivek Srikumar
3DVKELM
585
18
0
20 Feb 2025
Large Language Models for Information Retrieval: A Survey
Large Language Models for Information Retrieval: A Survey
Yutao Zhu
Huaying Yuan
Shuting Wang
Jiongnan Liu
Wenhan Liu
Chenlong Deng
Haonan Chen
Zheng Liu
Zhicheng Dou
Ji-Rong Wen
KELM
635
465
0
14 Aug 2023
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