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Jiangang Bai

2 accepted papers

2022

Enhancing Self-Attention with Knowledge-Assisted Attention Maps

NAACL 2022long

Large-scale pre-trained language models have attracted extensive attentions in the research community and shown promising results on various tasks of natural language processing. However, the attention maps, which record the attention scores between tokens in self-attention mechanism, are sometimes…

Cited by 8SourcePDFScholar
2021

Evolving Attention with Residual Convolutions

ICML 2021spotlight

Transformer is a ubiquitous model for natural language processing and has attracted wide attentions in computer vision. The attention maps are indispensable for a transformer model to encode the dependencies among input tokens. However, they are learned independently in each layer and sometimes fail…