Papers with multi-hop attention

2 papers
Attention over Heads: A Multi-Hop Attention for Neural Machine Translation (P19-2)

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Challenge: Existing multihop attentions for machine comprehension are recurrent and hierarchical . a proposed multi-hop attention for the Transformer refines the attention for an output symbol many times .
Approach: They propose a multi-hop attention for the Transformer which integrates attentions from each head.
Outcome: The proposed model outperforms the baseline Transformer in terms of translation accuracy and speed.
Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation (2022.naacl-main)

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Challenge: Empirical results show that our proposed model outperforms the state-of-the-art methods in terms of both automatic evaluation metrics and human judgment.
Approach: They propose a model which uses large-scale commonsense and named entity based knowledge to ground dialogue on external knowledge and topic-specific knowledge associated with each utterance.
Outcome: The proposed model outperforms the state-of-the-art methods on two benchmark datasets.

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