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of 6
pro vyhledávání: '"Katzy, Jonathan"'
Does the training of large language models potentially infringe upon code licenses? Furthermore, are there any datasets available that can be safely used for training these models without violating such licenses? In our study, we assess the current t
Externí odkaz:
http://arxiv.org/abs/2403.15230
Autor:
Izadi, Maliheh, Katzy, Jonathan, van Dam, Tim, Otten, Marc, Popescu, Razvan Mihai, van Deursen, Arie
Transformer-based language models for automatic code completion have shown great promise so far, yet the evaluation of these models rarely uses real data. This study provides both quantitative and qualitative assessments of three public code language
Externí odkaz:
http://arxiv.org/abs/2402.16197
The recent advancements in Transformer-based Language Models have demonstrated significant potential in enhancing the multilingual capabilities of these models. The remarkable progress made in this domain not only applies to natural language tasks bu
Externí odkaz:
http://arxiv.org/abs/2308.13354
Autor:
Verbraeken, Joost, Wolting, Matthijs, Katzy, Jonathan, Kloppenburg, Jeroen, Verbelen, Tim, Rellermeyer, Jan S.
The demand for artificial intelligence has grown significantly over the last decade and this growth has been fueled by advances in machine learning techniques and the ability to leverage hardware acceleration. However, in order to increase the qualit
Externí odkaz:
http://arxiv.org/abs/1912.09789
Autor:
Verbraeken, Joost, Wolting, Matthijs, Katzy, Jonathan, Kloppenburg, Jeroen, Verbelen, Tim, Rellermeyer, Jan S.
Publikováno v:
ACM Computing Surveys (CSUR), 53(2)
The demand for artificial intelligence has grown significantly over the past decade, and this growth has been fueled by advances in machine learning techniques and the ability to leverage hardware acceleration. However, to increase the quality of pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::1338008bff3f28dd71669d955186e2dd
http://resolver.tudelft.nl/uuid:64ca2c9c-72a3-4b8d-b060-727d6fd60163
http://resolver.tudelft.nl/uuid:64ca2c9c-72a3-4b8d-b060-727d6fd60163
Autor:
VERBRAEKEN, JOOST, WOLTING, MATTHIJS, KATZY, JONATHAN, KLOPPENBURG, JEROEN, VERBELEN, TIM, RELLERMEYER, JAN S.
Publikováno v:
ACM Computing Surveys; Mar2021, Vol. 53 Issue 2, p1-33, 33p, 4 Diagrams
