Attention Based Transformers

method ID: attentionbasedtransformers

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Hints on the data for language modeling of synthetic languages with transformers

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractLanguage Models (LM) are becoming more and more useful for providing representations upon which to train Natural Language Processing applications. However, there is now clear evidence that attention-based transformers require …...

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