Zobrazeno 1 - 10
of 446
pro vyhledávání: '"A, Abdine"'
Autor:
Xypolopoulos, Christos, Shang, Guokan, Fei, Xiao, Nikolentzos, Giannis, Abdine, Hadi, Evdaimon, Iakovos, Chatzianastasis, Michail, Stamou, Giorgos, Vazirgiannis, Michalis
Large language models have evolved to process multiple modalities beyond text, such as images and audio, which motivates us to explore how to effectively leverage them for graph machine learning tasks. The key question, therefore, is how to transform
Externí odkaz:
http://arxiv.org/abs/2410.19494
Autor:
Shang, Guokan, Abdine, Hadi, Khoubrane, Yousef, Mohamed, Amr, Abbahaddou, Yassine, Ennadir, Sofiane, Momayiz, Imane, Ren, Xuguang, Moulines, Eric, Nakov, Preslav, Vazirgiannis, Michalis, Xing, Eric
We introduce Atlas-Chat, the first-ever collection of LLMs specifically developed for dialectal Arabic. Focusing on Moroccan Arabic, also known as Darija, we construct our instruction dataset by consolidating existing Darija language resources, creat
Externí odkaz:
http://arxiv.org/abs/2409.17912
Autor:
Evdaimon, Iakovos, Nikolentzos, Giannis, Xypolopoulos, Christos, Kammoun, Ahmed, Chatzianastasis, Michail, Abdine, Hadi, Vazirgiannis, Michalis
Graph generation has emerged as a crucial task in machine learning, with significant challenges in generating graphs that accurately reflect specific properties. Existing methods often fall short in efficiently addressing this need as they struggle w
Externí odkaz:
http://arxiv.org/abs/2403.01535
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence, 38(10), 10757-10765 (2024)
In recent years, significant progress has been made in the field of protein function prediction with the development of various machine-learning approaches. However, most existing methods formulate the task as a multi-classification problem, i.e. ass
Externí odkaz:
http://arxiv.org/abs/2307.14367
Autor:
Evdaimon, Iakovos, Abdine, Hadi, Xypolopoulos, Christos, Outsios, Stamatis, Vazirgiannis, Michalis, Stamou, Giorgos
The era of transfer learning has revolutionized the fields of Computer Vision and Natural Language Processing, bringing powerful pretrained models with exceptional performance across a variety of tasks. Specifically, Natural Language Processing tasks
Externí odkaz:
http://arxiv.org/abs/2304.00869
Word sense induction (WSI) is a difficult problem in natural language processing that involves the unsupervised automatic detection of a word's senses (i.e. meanings). Recent work achieves significant results on the WSI task by pre-training a languag
Externí odkaz:
http://arxiv.org/abs/2210.05422
With the significant increase in users on social media platforms, a new means of political campaigning has appeared. Twitter and Facebook are now notable campaigning tools during elections. Indeed, the candidates and their parties now take to the int
Externí odkaz:
http://arxiv.org/abs/2204.07436
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Enhancing drug residence duration within the stomach offers distinct advantages for both localized and systemic effects. Numerous strategies have been proposed to extend drug residence time, with mucoadhesive polymers being a notable avenue.
Externí odkaz:
https://doaj.org/article/047892c98e604ddfba71730f6495dd2e
Autor:
Abdine, Hadi, Guo, Yanzhu, Eddine, Moussa Kamal, Nikolentzos, Giannis, Outsios, Stamatis, Shang, Guokan, Xypolopoulos, Christos, Vazirgiannis, Michalis
DaSciM (Data Science and Mining) part of LIX at Ecole Polytechnique, established in 2013 and since then producing research results in the area of large scale data analysis via methods of machine and deep learning. The group has been specifically acti
Externí odkaz:
http://arxiv.org/abs/2112.00566
Autor:
Douka, Stella, Abdine, Hadi, Vazirgiannis, Michalis, Hamdani, Rajaa El, Amariles, David Restrepo
Language models have proven to be very useful when adapted to specific domains. Nonetheless, little research has been done on the adaptation of domain-specific BERT models in the French language. In this paper, we focus on creating a language model a
Externí odkaz:
http://arxiv.org/abs/2110.01485