Data-centric Artificial Intelligence: A Survey

2025 article zha2025dcaisurvey ○ Not yet verified

Authors

Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu

Venue

ACM Computing Surveys

Abstract

Comprehensive survey on data-centric AI, providing a holistic view of three general data-centric goals (training data development, inference data development, and data maintenance) and representative methods. Covers the paradigm shift from model refinement to prioritizing data quality.

BibTeX

Local Entry

@article{zha2025dcaisurvey,
  title = {Data-centric Artificial Intelligence: A Survey},
  author = {Daochen Zha and Zaid Pervaiz Bhat and Kwei-Herng Lai and Fan Yang and Zhimeng Jiang and Shaochen Zhong and Xia Hu},
  year = {2025},
  journal = {ACM Computing Surveys},
  url = {https://dl.acm.org/doi/10.1145/3711118},
  abstract = {Comprehensive survey on data-centric AI, providing a holistic view of three general data-centric goals (training data development, inference data development, and data maintenance) and representative methods. Covers the paradigm shift from model refinement to prioritizing data quality.}
}

From AUTO:OPENALEX

@article{zha2025dcaisurvey,
  title = {Data-centric Artificial Intelligence: A Survey},
  author = {Daochen Zha and Zaid Pervaiz Bhat and Kwei-Herng Lai and Fan Yang and Zhimeng Jiang and Shaochen Zhong and Xia Hu},
  year = {2025},
  journal = {ACM Computing Surveys},
  doi = {10.1145/3711118}
}