AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

Data science tasks involving tabular data present complex challenges that require sophisticated problem-solving approaches. We propose AutoKaggle, a powerful and user-centric framework that assists data scientists in completing daily data pipelines through a collaborative multi-agent system. AutoKag...

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Hauptverfasser:	Li, Ziming, Zang, Qianbo, Ma, David, Guo, Jiawei, Zheng, Tuney, Liu, Minghao, Niu, Xinyao, Wang, Yue, Yang, Jian, Liu, Jiaheng, Zhong, Wanjun, Zhou, Wangchunshu, Huang, Wenhao, Zhang, Ge
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language
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