"Attention Is All You Need," is a research paper that proposes the Transformer, a novel neural network architecture for sequence transduction tasks like machine translation. This model entirely abandons traditional recurrent or convolutional networks, relying instead solely on attention mechanisms. The authors demonstrate that the Transformer significantly improves translation quality while requiring less training time and enabling greater parallelization compared to previous state-of-the-art models. The paper also evaluates various architectural components and shows the Transformer's ability to generalize to other tasks, such as English constituency parsing.