wehub-resource-sync
26 lines
1.6 KiB
ReStructuredText
26 lines
1.6 KiB
ReStructuredText
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Development
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Related Paper
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- `Collaborative Evolving Strategy for Automatic Data-Centric Development <https://arxiv.org/abs/2407.18690>`_
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Co-STEER is a method to tackle data-centric development (AD2) tasks and highlight its main challenges, which need expert-like implementation (i.e., learning domain knowledge from practice) and task scheduling capability (e.g., starting with easier tasks for better overall efficiency), areas that previous work has largely overlooked. Our Co-STEER agent enhances its domain knowledge through our evolving strategy and improves both its scheduling and implementation skills by gathering and using domain-specific practical experience. With a better schedule, implementation becomes faster. At the same time, as implementation feedback becomes more detailed, scheduling accuracy improves. These two capabilities grow together through practical feedback, enabling a collaborative evolution process.
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.. code-block:: bibtex
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@misc{yang2024collaborative,
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title={Collaborative Evolving Strategy for Automatic Data-Centric Development},
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author={Xu Yang and Haotian Chen and Wenjun Feng and Haoxue Wang and Zeqi Ye and Xinjie Shen and Xiao Yang and Shizhao Sun and Weiqing Liu and Jiang Bian},
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year={2024},
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eprint={2407.18690},
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archivePrefix={arXiv},
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primaryClass={cs.AI}
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}
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.. image:: https://github.com/user-attachments/assets/75d9769b-0edd-4caf-9d45-57d1e577054b
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:alt: Collaborative Evolving Strategy for Automatic Data-Centric Development
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