Greening Large Language Models of Code-Reference-Cited by-同舟云学术

Greening Large Language Models of Code

Published:2024-04-14 Issue: Volume:32 Page:142-153
ISSN:
Container-title:Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society
language:
Short-container-title:

Author:

Shi Jieke¹^ORCID,Yang Zhou¹^ORCID,Kang Hong Jin²^ORCID,Xu Bowen³^ORCID,He Junda¹^ORCID,Lo David¹^ORCID

Affiliation:

1. School of Computing and Information Systems, Singapore Management University, Singapore, Singapore

2. Department of Computer Science, University of California, Los Angeles, Los Angeles, California, USA

3. Department of Computer Science, North Carolina State University, Raleigh, North Carolina, United States

Funder

National Research Foundation, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3639475.3640097

Reference86 articles.

1. Testing autonomous cars for feature interaction failures using many-objective search

2. Akvelon. 2023. Code Search: a Closer Look at Akvelon's Source Code Search Engine --- akvelon.com. https://akvelon.com/code-search-a-closer-look-at-akvelons-source-code-search-engine/. [Accessed 28-09-2023].

3. A practical guide for using statistical tests to assess randomized algorithms in software engineering

4. Gareth Ari Aye and Gail E Kaiser. 2020. Sequence model design for code completion in the modern IDE. arXiv preprint arXiv:2004.05249 (2020).

5. Lei Jimmy Ba and Rich Caruana. 2014. Do deep nets really need to be deep?. In Proceedings of the 27th International Conference on Neural Information Processing Systems-Volume 2. 2654--2662.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing Software Security: Dcodebert for Automatic Vulnerability Detection and Repair;2024