Papers with Data preparation
Empowering Tabular Data Preparation with Language Models: Why and How? (2026.acl-long)
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Mengshi Chen, Yuxiang Sun, Tengchao Li, Jianwei Wang, Kai Wang, Xuemin Lin, Ying Zhang, Wenjie Zhang
| Challenge: | Tabular data preparation is a critical step in enhancing the usability of tabular data. |
| Approach: | They analyze how LMs can be combined with other components for different tabular data preparation tasks. |
| Outcome: | The proposed methods lack the ability to capture the relationships within tables and adapt to the tasks involved. |
Retrieval-Based Transformer for Table Augmentation (2023.findings-acl)
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| Challenge: | Data preparation is one of the most expensive and time-consuming steps when performing analytics or building machine learning models. |
| Approach: | They propose a retrieval augmented transformer model that is self-trained for table augmentation tasks. |
| Outcome: | The proposed model outperforms current state-of-the-art models on EntiTables and WebTables. |