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Can foundation models (such as ChatGPT) clean your data? In this proposal, we demonstrate that indeed ChatGPT can assist in data cleaning by suggesting corrections for specific cells in a data table (scenario 1).
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
Earlier work this paper cites.
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Omar Khattab and Matei Zaharia. 2020 · 2020
Earlier work this paper cites.
CrossBERT: A Triplet Neural Architecture for Ranking Entity Properties. In
Jarana Manotumruksa, Jeff Dalton, Edgar Meij, and Emine Yilmaz. 2020 · 2020
Earlier work this paper cites.
Can Foundation Models Wrangle Your Data?
Avanika Narayan, Ines Chami, Laurel J. Orr, and Christopher Re. 2022 · 2022
Cited alongside, same era.
Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes. In
Zui Chen, Zihui Gu, Lei Cao, Ju Fan, Samuel Madden, and Nan Tang. 2023 · 2023
Cited alongside, same era.
Jellyfish: A Large Language Model for Data Preprocessing
Haochen Zhang, Yuyang Dong, Chuan Xiao, and M. Oyamada. 2023a · 2023
Closest in time.
Large Language Models as Data Preprocessors
Haochen Zhang, Yuyang Dong, Chuan Xiao, and M. Oyamada. 2023b · 2023
Closest in time.
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