Large Language Models (LLMs) have drawn widespread attention and research due to their astounding performance in text generation and reasoning tasks. Deriv
software engineering educationpeer assessmentThis paper explores the integration of generative AI and large language models into the realm of software engineering education and training, with a specific focus on the transformation of traditional peer assessment methodologies. The motivation stems from the ...
This paper provides a survey of the emerging area of Large Language Models (LLMs) for Software Engineering (SE). It also sets out open research challenges for the application of LLMs to technical problems faced by software engineers. LLMs' emergent properties bring novelty and creativity with ...
The probability of a word sequence within a conventional language model can be approximated through techniques such as n-grams or Hidden Markov Models. The chain rule is one method that can be utilized when calculating the probability: \(P\left( w_1, w_2, \ldots , w_n\right) =P\left...
International Conference on Software Engineering (ICSE)|May 2022 下载BibTex Large pre-trained language models such as GPT-3, Codex, and Google’s language model are now capable of generating code from natural language specifications of programmer intent. We view these developments with a mixture...
[1] Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo,and Jie M Zhang. Large language models for software engineering: Survey and open problems.arXiv preprint arXiv:2310.03533, 2023. [2] Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, and...
In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering (ICSE 2024), April, 2024. [3] Ruijie Meng, Martin Mirchev, Marcel Böhme, and Abhik Roychoudhury. Large Language Model guided Protocol Fuzzing. Network and Distributed System Security Symposium (NDSS), 2024. [...
Carnegie Mellon University's Software Engineering Institute (SEI) and OpenAI published a white paper that found that large language models (LLMs) could be an asset for cybersecurity professionals, but should be evaluated ...
This research was accepted by the IEEE/ACM International Conference on Software Engineering (ICSE) (opens in new tab), which is a forum for researchers, practitioners, and educators to gather, present, and discuss the most recent innovations, trends, experiences, and issues ...
An LLMOps platform brings data science and software engineering into a collaborative environment for data exploration, real-time experiment tracking, prompt engineering, plus model and pipeline management. LLMOps automates the operational and monitoring tasks in the machine learning lifecycle. ...