Papers by Gilbert Badaro
Transformers for Tabular Data Representation: A Survey of Models and Applications (2023.tacl-1)
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| Challenge: | Recent research efforts extend LMs by developing neural representations for structured data. |
| Approach: | They propose to extend transformer-based language models to tabular data by analyzing inputs, model training, and supported downstream tasks. |
| Outcome: | The proposed models are compared against existing models and are based on a traditional pipeline. |