Papers with Cross-attention
Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model (2021.findings-emnlp)
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| Challenge: | Dot-product attention only considers the pair-wise correlation between words, resulting in dispersion when dealing with long sentences and neglecting source neighboring relationships. |
| Approach: | They propose to model concentrated attention in cross-attention using a Gaussian Mixture Model to model cross- attention in a language model. |
| Outcome: | Experiments on three datasets show that the proposed method outperforms the baseline and has significant improvement on alignment quality, N-gram accuracy, and long sentence translation. |