Papers by Tanin Zeraati
Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers (2023.findings-emnlp)
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| Challenge: | Existing approaches to understanding compositional generalization of models have focused on novel architectures and alternative learning paradigms. |
| Approach: | They propose a method that harnesses the power of dataset cartography to improve model accuracy by strategically identifying a subset of compositional generalization data. |
| Outcome: | The proposed method improves model accuracy by 10% on CFQ and COGS datasets. |