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Akademický článek

A Multi–Source Fluid Queue Based Stochastic Model of the Probabilistic Offloading Strategy in a MEC System With Multiple Mobile Devices and a Single MEC Server

Autor: Zheng Huan, Jin Shunfu

Publikováno v: International Journal of Applied Mathematics and Computer Science, Vol 32, Iss 1, Pp 125-138 (2022)

Mobile edge computing (MEC) is one of the key technologies to achieve high bandwidth, low latency and reliable service in fifth generation (5G) networks. In order to better evaluate the performance of the probabilistic offloading strategy in a MEC sy

Externí odkaz: https://doaj.org/article/611460f21f494d2daaa3895ca80c9cab

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CREF: An LLM-based Conversational Software Repair Framework for Programming Tutors

Autor: Yang, Boyang, Tian, Haoye, Pian, Weiguo, Yu, Haoran, Wang, Haitao, Klein, Jacques, Bissyandé, Tegawendé F., Jin, Shunfu

Program repair techniques offer cost-saving benefits for debugging within software development and programming education scenarios. With the proven effectiveness of Large Language Models (LLMs) in code-related tasks, researchers have explored their p

Externí odkaz: http://arxiv.org/abs/2406.13972

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Multi-Objective Fine-Tuning for Enhanced Program Repair with LLMs

Autor: Yang, Boyang, Tian, Haoye, Ren, Jiadong, Zhang, Hongyu, Klein, Jacques, Bissyandé, Tegawendé F., Goues, Claire Le, Jin, Shunfu

Large language models (LLMs) have demonstrated remarkable capabilities on a broad spectrum of downstream tasks. Within the realm of software engineering, specialized tasks on code, such as program repair, present unique challenges, necessitating fine

Externí odkaz: http://arxiv.org/abs/2404.12636

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