<?xml version="1.0" encoding="UTF-8"?><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>attention-is-all-you-need-2024-001</dc:title><dc:creator>Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin</dc:creator><dc:date>2024</dc:date><dc:description>This record links to the original Transformer paper, which introduced a sequence modelling architecture based entirely on self-attention. It is useful for repository testing because it contains formal architecture descriptions, experiments, equations, references, and a complete scholarly PDF workflow.</dc:description><dc:identifier>https://inrepscholar.com/projects/940</dc:identifier></oai_dc:dc>