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pro vyhledávání: '"stack overflow"'
Autor:
LIMONCELLI, THOMAS A.1
Publikováno v:
Communications of the ACM. Nov2020, Vol. 63 Issue 11, p108-110. 3p. 1 Color Photograph.
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 2, Pp 858-863 (2024)
This paper introduces a novel method for automatically classifying questions with multiple labels, using data specifically sourced from Stack Overflow. Traditional tagging methods frequently face challenges due to the complexity and semantic diversit
Externí odkaz:
https://doaj.org/article/52d7bf9ad4dc49158dbc791d3d248fa3
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 12, Pp 2189-2191 (2024)
Abstract In a recent Perspective Piece, Cooper et al. (2024) highlight the benefits that large language models (LLM) bring to the coding process and offer some guidance around the use of LLM‐generated code in academic publications. Whilst we broadl
Externí odkaz:
https://doaj.org/article/24198b3859fc4e9ea68a47142b562394
Autor:
Amjad Rehman, Adeel Ahmed, Tahani Jaser Alahmadi, Abeer Rashad Mirdad, Bayan Al Ghofaily, Khalid Saleem
Publikováno v:
PeerJ Computer Science, Vol 10, p e2386 (2024)
Rapid advancement in information technology promotes the growth of new online learning communities in an e-learning environment that overloads information and data sharing. When a new learner asks a question, how a system recommends the answer is the
Externí odkaz:
https://doaj.org/article/9f9eddd7e25348469001b88cc6d523ac
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
IntroductionRecent advances in generative Artificial Intelligence (AI) and Natural Language Processing (NLP) have led to the development of Large Language Models (LLMs) and AI-powered chatbots like ChatGPT, which have numerous practical applications.
Externí odkaz:
https://doaj.org/article/188930ea709b42d8a41d3a53c61db93d
Publikováno v:
In Information and Software Technology March 2025 179
Publikováno v:
IEEE Access, Vol 12, Pp 34512-34526 (2024)
This research introduces an innovative approach for identifying duplicate questions within the Stack Overflow community, a challenging task in NLP. Leveraging deep learning techniques, our proposed methodology combines Convolutional Neural Networks (
Externí odkaz:
https://doaj.org/article/bf3e4dff173c483c9723bed9b842571d
Autor:
Fatih Gurcan
Publikováno v:
PeerJ Computer Science, Vol 9, p e1658 (2023)
Background Increasing demands for mobile apps and services have recently led to an intensification of mobile development activities. With the proliferation of mobile development, there has been a major transformation in the architectures, paradigms,
Externí odkaz:
https://doaj.org/article/132f4420365e4716a1ab586589f2193c
Publikováno v:
e-Informatica Software Engineering Journal, Vol 17, Iss 1 (2023)
Background: Python is a popular and easy-to-use programming language. It is constantly expanding, with new features and libraries being introduced daily for a broad range of applications. This dynamic expansion needs a robust support structure for de
Externí odkaz:
https://doaj.org/article/5cf82a617c8c48d7b2eb7a1c7ae96ee4
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