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pro vyhledávání: '"Esmaeili, Amirreza"'
Recently, Large Langauge Models (LLMs) have gained a lot of attention in the Software Engineering (SE) community. LLMs or their variants pre-trained on code are used for many SE tasks. A main approach for adapting LLMs to the downstream task is to fi
Externí odkaz:
http://arxiv.org/abs/2405.01553
Programming languages can benefit from one another by utilizing a pre-trained model for software engineering tasks such as code summarization and method name prediction. While full fine-tuning of Code Language Models (Code-LMs) has been explored for
Externí odkaz:
http://arxiv.org/abs/2307.07854
Autor:
Esmaeili, Amirreza1 (AUTHOR), Esmaeeli, Soode Tajik2 (AUTHOR) soode.t.s@gmail.com
Publikováno v:
Clinical Case Reports. Apr2024, Vol. 12 Issue 4, p1-7. 7p.
