Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Lestable, Thierry"'
Autor:
Zou, Hang, Zhao, Qiyang, Tian, Yu, Bariah, Lina, Bader, Faouzi, Lestable, Thierry, Debbah, Merouane
Large Language Models (LLMs) have the potential to revolutionize the Sixth Generation (6G) communication networks. However, current mainstream LLMs generally lack the specialized knowledge in telecom domain. In this paper, for the first time, we prop
Externí odkaz:
http://arxiv.org/abs/2407.09424
Autor:
Ferrag, Mohamed Amine, Battah, Ammar, Tihanyi, Norbert, Jain, Ridhi, Maimut, Diana, Alwahedi, Fatima, Lestable, Thierry, Thandi, Narinderjit Singh, Mechri, Abdechakour, Debbah, Merouane, Cordeiro, Lucas C.
Software vulnerabilities can cause numerous problems, including crashes, data loss, and security breaches. These issues greatly compromise quality and can negatively impact the market adoption of software applications and systems. Traditional bug-fix
Externí odkaz:
http://arxiv.org/abs/2307.06616
Autor:
Ferrag, Mohamed Amine, Ndhlovu, Mthandazo, Tihanyi, Norbert, Cordeiro, Lucas C., Debbah, Merouane, Lestable, Thierry, Thandi, Narinderjit Singh
The field of Natural Language Processing (NLP) is currently undergoing a revolutionary transformation driven by the power of pre-trained Large Language Models (LLMs) based on groundbreaking Transformer architectures. As the frequency and diversity of
Externí odkaz:
http://arxiv.org/abs/2306.14263
Neural networks have demonstrated remarkable success in learning and solving complex tasks in a variety of fields. Nevertheless, the rise of those networks in modern computing has been accompanied by concerns regarding their vulnerability to adversar
Externí odkaz:
http://arxiv.org/abs/2303.01245
Akademický článek
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Autor:
Ferrag, Mohamed Amine, Battah, Ammar, Tihanyi, Norbert, Debbah, Merouane, Lestable, Thierry, Cordeiro, Lucas C.
Software vulnerabilities leading to various detriments such as crashes, data loss, and security breaches, significantly hinder the quality, affecting the market adoption of software applications and systems. Although traditional methods such as autom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c5ea6412adde63ac0e7ea6afa4aa249
Autor:
Ferrag, Mohamed Amine, Ndhlovu, Mthandazo, Tihanyi, Norbert, Cordeiro, Lucas C., Debbah, Merouane, Lestable, Thierry
Natural Language Processing (NLP) domain is experiencing a revolution due to the capabilities of Pre-trained Large Language Models ( LLMs), fueled by ground-breaking Transformers architecture, resulting into unprecedented advancements. Their exceptio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e964c35f239478584ad500a39f123230
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2008, Iss 1, p 473613 (2008)
Abstract This paper presents a new approach to decode turbo codes using a nonbinary belief propagation decoder. The proposed approach can be decomposed into two main steps. First, a nonbinary Tanner graph representation of the turbo code is derived b
Externí odkaz:
https://doaj.org/article/6f66c9a4d2c645ea89807724520daac7
Autor:
Antón-Haro, Carles, Lestable, Thierry, Lin, Yonghua, Nikaein, Navid, Watteyne, Thomas, Alonso-Zarate, Jesus
Publikováno v:
European Transactions on Telecommunications, Volume 24, N°4, June 2013
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::ce591b19eeb51ddd02b51242d4c707ae
http://www.eurecom.fr/publication/4200
http://www.eurecom.fr/publication/4200
Publikováno v:
FUTURENET 2011, Future Network and Mobile Summit, 15-17 June 2011, Warsaw, Poland
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::e51c39aeda7be3d03a7f3644839cf2e9
http://www.eurecom.fr/publication/3605
http://www.eurecom.fr/publication/3605