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CITATION.cff

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# ── CITATION.cff ───────────────────────────────────────────────
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cff-version: 1.2.0
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title: "OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation"
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message: "If you use OWL or find it helpful, please cite this paper."
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abstract: >
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Large Language Model (LLM)-based multi-agent systems show promise for
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automating real-world tasks but struggle to transfer across domains
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due to their domain-specific nature. We introduce Workforce, a
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hierarchical multi-agent framework that decouples strategic planning
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from specialized execution via a domain-agnostic Planner, a
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Coordinator, and domain-specific Worker agents. Optimized Workforce
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Learning (OWL) further improves cross-domain generalization through
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reinforcement learning from real-world feedback. Experiments on the
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GAIA benchmark show state-of-the-art open-source performance
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(69.70 %), surpassing commercial systems like Deep Research and
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approaching GPT-4o. By enabling scalable generalization and modular
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domain transfer, OWL lays a foundation for the next generation of
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general-purpose AI assistants.
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version: "v2"
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doi: 10.48550/arXiv.2505.23885
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url: https://arxiv.org/pdf/2505.23885
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date-released: 2025-06-11
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authors:
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- family-names: Hu
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given-names: Mengkang
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- family-names: Zhou
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given-names: Yuhang
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- family-names: Fan
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given-names: Wendong
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- family-names: Nie
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given-names: Yuzhou
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- family-names: Xia
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given-names: Bowei
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- family-names: Sun
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given-names: Tao
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- family-names: Ye
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given-names: Ziyu
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- family-names: Jin
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given-names: Zhaoxuan
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- family-names: Li
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given-names: Yingru
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- family-names: Chen
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given-names: Qiguang
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- family-names: Zhang
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given-names: Zeyu
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- family-names: Wang
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given-names: Yifeng
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- family-names: Ye
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given-names: Qianshuo
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- family-names: Ghanem
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given-names: Bernard
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- family-names: Luo
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given-names: Ping
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- family-names: Li
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given-names: Guohao
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# ───────────────────────────────────────────────────────────────

README.md

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```
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@article{hu2025owl,
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title={Owl: Optimized workforce learning for general multi-agent assistance in real-world task automation},
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author={Hu, Mengkang and Zhou, Yuhang and Fan, Wendong and Nie, Yuzhou and Xia, Bowei and Sun, Tao and Ye, Ziyu and Jin, Zhaoxuan and Li, Yingru and Chen, Qiguang and others},
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journal={arXiv preprint arXiv:2505.23885},
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year={2025}
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@misc{hu2025owl,
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title={OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation},
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author={Mengkang Hu and Yuhang Zhou and Wendong Fan and Yuzhou Nie and Bowei Xia and Tao Sun and Ziyu Ye and Zhaoxuan Jin and Yingru Li and Qiguang Chen and Zeyu Zhang and Yifeng Wang and Qianshuo Ye and Bernard Ghanem and Ping Luo and Guohao Li},
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year={2025},
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eprint={2505.23885},
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archivePrefix={arXiv},
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2505.23885},
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}
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```
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Join us for further discussions!
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<!-- ![](./assets/community.png) -->
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![](./assets/community.jpeg)
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![](./assets/community_code.jpeg)
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# ❓ FAQ
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assets/community_code.jpeg

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