Fetching the paper…
Reading the bibliography…
Large Language Models (LLMs) have achieved remarkable success in code completion, as evidenced by their essential roles in developing code assistant services such as Copilot.
Symbol table construction and name lookup in ISO C++. In Proceedings 37th International Conference on Technology of Object-Oriented Languages and Systems. TOOLS-Pacific 2000 . IEEE, 57–68
James F Power and Brian A Malloy. 2000 · 2000
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
Earlier work this paper cites.
Codebleu: a method for automatic evaluation of code synthesis
Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, and Shuai Ma. 2020 · 2020
Earlier work this paper cites.
Natgen: generative pre-training by “naturalizing” source code. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering . 18–30
Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T Devanbu, and Baishakhi Ray. 2022 · 2022
Earlier work this paper cites.
Cocomic: Code completion by jointly modeling in-file and cross-file context
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, and Bing Xiang. 2022 · 2022
Earlier work this paper cites.
Reacc: A retrieval-augmented code completion framework
Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, and Alexey Svyatkovskiy. 2022 · 2022
Earlier work this paper cites.
DeepSeek Coder: Let the Code Write Itself
DeepSeek AI. 2023 · 2023
Earlier work this paper cites.
CodeWhisperer
Amazon. 2023 · 2023
Earlier work this paper cites.
CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B Ashok, Shashank Shet, et al · 2023
Cited alongside, same era.
CodeGeeX
CodeGeeX. 2023 · 2023
Cited alongside, same era.
CROSSCODEEVAL: A Diverse and Multilingual Benchmark for Cross-File Code Completion
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, et al · 2023
Cited alongside, same era.
LoGenText-Plus: Improving Neural Machine Translation-based Logging Texts Generation with Syntactic Templates
Zishuo Ding, Yiming Tang, Xiaoyu Cheng, Heng Li, and Weiyi Shang. 2023a · 2023
Cited alongside, same era.
Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study
StarCoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, et al · 2023
Later among the works it cites.
Generative Type Inference for Python
Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, and Michael R Lyu. 2023 · 2023
Later among the works it cites.
RepoFusion: Training Code Models to Understand Your Repository
Disha Shrivastava, Denis Kocetkov, Harm de Vries, Dzmitry Bahdanau, and Torsten Scholak. 2023 · 2023
Later among the works it cites.
Yuxiang Wei, Chunqiu Steven Xia, and Lingming Zhang. 2023 · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, and Michael R Lyu. 2023 · 2023
Cited alongside, same era.
GitHub Copilot: Your AI pair programmer
GitHub. 2023 · 2023
Cited alongside, same era.
Do not give away my secrets: Uncovering the privacy issue of neural code completion tools
Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, and Michael R Lyu. 2023 · 2023
Cited alongside, same era.
Chunqiu Steven Xia and Lingming Zhang. 2023 · 2023
Later among the works it cites.
Private-library-oriented code generation with large language models
Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, and Yongji Wang. 2023 · 2023
Later among the works it cites.
Repocoder: Repository-level code completion through iterative retrieval and generation
Fengji Zhang, Bei Chen, Yue Zhang, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, and Weizhu Chen. 2023 · 2023
Later among the works it cites.