Papers with specialized encodings
Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning (2023.findings-acl)
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| Challenge: | Existing approaches to compositional generalization have been designed with semantic parsing in mind. |
| Approach: | They propose a disentangled sequence-to-sequence model which encourages more disentanglement and improves its compute and memory efficiency. |
| Outcome: | The proposed model improves generalization performance across existing tasks and datasets and a new machine translation benchmark. |