Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Saber, Takfarinas"'
Autor:
Zhang, Zixian, Saber, Takfarinas
This study aims to assess the performance of two advanced Large Language Models (LLMs), GPT-3.5 and GPT-4, in the task of code clone detection. The evaluation involves testing the models on a variety of code pairs of different clone types and levels
Externí odkaz:
http://arxiv.org/abs/2407.02402
Data augmentation has proven to be effective in training neural networks. Recently, a method called RandAug was proposed, randomly selecting data augmentation techniques from a predefined search space. RandAug has demonstrated significant performance
Externí odkaz:
http://arxiv.org/abs/2309.04762
Deep Learning (DL) algorithms have shown impressive performance in diverse domains. Among them, audio has attracted many researchers over the last couple of decades due to some interesting patterns--particularly in classification of audio data. For b
Externí odkaz:
http://arxiv.org/abs/2206.07511
Machine Reassignment is a challenging problem for constraint programming (CP) and mixed-integer linear programming (MILP) approaches, especially given the size of data centres. The multi-objective version of the Machine Reassignment Problem is even m
Externí odkaz:
http://arxiv.org/abs/2103.10410
Publikováno v:
In Computer Standards & Interfaces March 2025 92
Publikováno v:
In Journal of Policy Modeling September-October 2023 45(5):1077-1097
Publikováno v:
In Blockchain: Research and Applications March 2023 4(1)
Publikováno v:
Journal of Economic Integration, 2021 Jun 01. 36(2), 262-281.
Externí odkaz:
https://www.jstor.org/stable/27019035
Autor:
Sharma, Nonita, Mangla, Monika, Yadav, Sourabh, Goyal, Nitin, Singh, Aman, Verma, Sahil, Saber, Takfarinas
Publikováno v:
In Computers and Electrical Engineering December 2021 96 Part A
Publikováno v:
International Economics & Economic Policy; Feb2025, Vol. 22 Issue 1, p1-27, 27p