Zobrazeno 1 - 10
of 17 431
pro vyhledávání: '"A, Kaddour"'
Autor:
فاصفصوب ريبورلا1 boussafsafzoubir@gmail.com, بياعلا دبع رداقلا1 ab.laib@univ-skikda.dz
Publikováno v:
Afak of Science Journal / Āfāq li-l-ՙulūm. 2022, Vol. 7 Issue 3, p510-527. 18p.
Autor:
GUILLAUME, DANIEL, Kaddour, Hédi
Publikováno v:
Littérature, 1998 Jan 01(110), 110-114.
Externí odkaz:
https://www.jstor.org/stable/23799856
The inference demand for LLMs has skyrocketed in recent months, and serving models with low latencies remains challenging due to the quadratic input length complexity of the attention layers. In this work, we investigate the effect of dropping MLP an
Externí odkaz:
http://arxiv.org/abs/2407.15516
Autor:
Zhuo, Terry Yue, Vu, Minh Chien, Chim, Jenny, Hu, Han, Yu, Wenhao, Widyasari, Ratnadira, Yusuf, Imam Nur Bani, Zhan, Haolan, He, Junda, Paul, Indraneil, Brunner, Simon, Gong, Chen, Hoang, Thong, Zebaze, Armel Randy, Hong, Xiaoheng, Li, Wen-Ding, Kaddour, Jean, Xu, Ming, Zhang, Zhihan, Yadav, Prateek, Jain, Naman, Gu, Alex, Cheng, Zhoujun, Liu, Jiawei, Liu, Qian, Wang, Zijian, Lo, David, Hui, Binyuan, Muennighoff, Niklas, Fried, Daniel, Du, Xiaoning, de Vries, Harm, Von Werra, Leandro
Task automation has been greatly empowered by the recent advances in Large Language Models (LLMs) via Python code, where the tasks ranging from software engineering development to general-purpose reasoning. While current benchmarks have shown that LL
Externí odkaz:
http://arxiv.org/abs/2406.15877
Autor:
Gema, Aryo Pradipta, Leang, Joshua Ong Jun, Hong, Giwon, Devoto, Alessio, Mancino, Alberto Carlo Maria, Saxena, Rohit, He, Xuanli, Zhao, Yu, Du, Xiaotang, Madani, Mohammad Reza Ghasemi, Barale, Claire, McHardy, Robert, Harris, Joshua, Kaddour, Jean, van Krieken, Emile, Minervini, Pasquale
Maybe not. We identify and analyse errors in the popular Massive Multitask Language Understanding (MMLU) benchmark. Even though MMLU is widely adopted, our analysis demonstrates numerous ground truth errors that obscure the true capabilities of LLMs.
Externí odkaz:
http://arxiv.org/abs/2406.04127
The primary objective of non-intrusive load monitoring (NILM) techniques is to monitor and track power consumption within residential buildings. This is achieved by approximating the consumption of each individual appliance from the aggregate energy
Externí odkaz:
http://arxiv.org/abs/2402.17809
Autor:
Dalhem, Johannes
La thèse se propose d’étudier différentes formes de la représentation du passé dans le roman contemporain français. Si la recherche a pu constater, depuis un certain temps déjà, un véritable « retour de l’Histoire » sur la scène litt
Externí odkaz:
http://www.theses.fr/2016LYSE2091
Autor:
Kaddour, Jean, Liu, Qi
The in-context learning ability of large language models (LLMs) enables them to generalize to novel downstream tasks with relatively few labeled examples. However, they require enormous computational resources to be deployed. Alternatively, smaller m
Externí odkaz:
http://arxiv.org/abs/2310.01119
Publikováno v:
Ziglôbitha, Vol 02, Iss 012, Pp 297-304 (2024)
Abstract : The research presents a comparison between Malek Bennabi's The Conditions of Renaissance and Edward Said's Orientalism, highlighting the influence of the former on the latter in analyzing the relationship between the colonizer and the colo
Externí odkaz:
https://doaj.org/article/3d29cbd024024434b46a493c05a1aa28
Autor:
Nezar Cherrada, Ahmed Elkhalifa Chemsa, Noura Gheraissa, Abdelmalek Zaater, Bilal Benamor, Ahmed Ghania, Bouras Yassine, Abdelbasset Kaddour, Muhammad Afzaal, Aasma Asghar, Farhan Saeed, Degnet Teferi Asres
Publikováno v:
International Journal of Food Properties, Vol 27, Iss 1, Pp 194-213 (2024)
Diabetes is a chronic disease that has affected millions of people worldwide. The current treatments for diabetes, such as insulin therapy and oral medications, have limitations, including adverse effects and high costs. Therefore, there is a need fo
Externí odkaz:
https://doaj.org/article/8495d6cb6bc242f7841b52b354009bc6