The encoder's self-attention pattern for the word "it," observed between the 5th and 6th layers of a Transformer model trained for English-to-French translation ...

Attention-based transformer architectures have enabled countless breakthroughs on language and vision tasks since their introduction in 2017, but their application remains limited to short context ...