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pro vyhledávání: '"A Abdaoui"'
Autor:
Abdaoui, Amine, Dutta, Sourav
Despite being the current de-facto models in most NLP tasks, transformers are often limited to short sequences due to their quadratic attention complexity on the number of tokens. Several attempts to address this issue were studied, either by reducin
Externí odkaz:
http://arxiv.org/abs/2307.09084
The aim of this paper is to provide a cohomology of $n$-Hom-Lie color algebras governing one parameter formal deformations. Then, we study formal deformations of a $n$-Hom-Lie color algebra and introduce the notion of Nijenhuis operator on an $n$-Hom
Externí odkaz:
http://arxiv.org/abs/2205.08341
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31660- (2024)
Let osp(2|2) be the orthosymplectic Lie superalgebra and osp(1|2) a Lie subalgebra of osp(2|2). In our paper, we describe the cup-product H1∨H1, where H1:=H1(osp(2|2),osp(1|2);Dλ,μ2) is the first differential osp(1|2)-relative cohomology of osp(2
Externí odkaz:
https://doaj.org/article/789b2423775a4e42829011481b38daa7
Pre-trained transformers are now the de facto models in Natural Language Processing given their state-of-the-art results in many tasks and languages. However, most of the current models have been trained on languages for which large text resources ar
Externí odkaz:
http://arxiv.org/abs/2109.12346
Publikováno v:
In Heliyon 15 June 2024 10(11)
Publikováno v:
In Journal Français d'Ophtalmologie January 2024 47(1)
Publikováno v:
SustaiNLP / EMNLP 2020
Pre-trained Transformer-based models are achieving state-of-the-art results on a variety of Natural Language Processing data sets. However, the size of these models is often a drawback for their deployment in real production applications. In the case
Externí odkaz:
http://arxiv.org/abs/2010.05609
Akademický článek
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Autor:
Abdaoui, A.1,2 (AUTHOR) abdaouiamel612@gmail.com, Khoufi, W.2 (AUTHOR), Hmila, W.1,2 (AUTHOR), Mahé, K.3 (AUTHOR), Jabeur, C.1,2 (AUTHOR)
Publikováno v:
Biology Bulletin. 2023 Suppl 4, Vol. 50, pS637-S646. 10p.