Papers with retrieval augmented transformer model
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. |