Fetching the paper…
Reading the bibliography…
Code translation between programming languages (PLs) is a critical task in software engineering, facilitating the modernization of legacy systems, ensuring cross-platform compatibility, and enhancing software performance.
HuggingFace’s Transformers: State-of-the-art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 1910
Earlier work this paper cites.
BLEU: a method for automatic evaluation of machine translation. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL ’02 . Association for Computational Linguistics, Philadelphia, Pennsylvania, 311
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2001 · 2001
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 · 2009
Earlier work this paper cites.
Lexical statistical machine translation for language migration. In Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering . 651–654
Anh Tuan Nguyen, Tung Thanh Nguyen, and Tien N Nguyen. 2013 · 2013
Earlier work this paper cites.
Phrase-based statistical translation of programming languages. In Proceedings of the 2014 ACM International Symposium on New Ideas, New Paradigms, and Reflections on Programming & Software . 173–184
Svetoslav Karaivanov, Veselin Raychev, and Martin Vechev. 2014 · 2014
Earlier work this paper cites.
Migrating code with statistical machine translation. In Companion Proceedings of the 36th International Conference on Software Engineering . 544–547
Anh Tuan Nguyen, Tung Thanh Nguyen, and Tien N Nguyen. 2014 · 2014
Earlier work this paper cites.
Using machine translation for converting python 2 to python 3 code
Karan Aggarwal, Mohammad Salameh, and Abram Hindle. 2015 · 2015
Earlier work this paper cites.
chrF: character n-gram F-score for automatic MT evaluation. In Proceedings of the Tenth Workshop on Statistical Machine Translation , Ondřej Bojar, Rajan Chatterjee, Christian Federmann, Barry Haddow, Chris Hokamp, Matthias Huck, Varvara Logacheva, and Pavel Pecina (Eds.). Association for Computational Linguistics, Lisbon, Portugal, 392–395
Maja Popović. 2015 · 2015
Earlier work this paper cites.
Grounded theory in software engineering research: a critical review and guidelines. In Proceedings of the 38th International Conference on Software Engineering (ICSE ’16) . Association for Computing Machinery, New York, NY, USA, 120–131
Klaas-Jan Stol, Paul Ralph, and Brian Fitzgerald. 2016 · 2016
Earlier work this paper cites.
Tree-to-tree neural networks for program translation
Xinyun Chen, Chang Liu, and Dawn Song. 2018 · 2018
Earlier work this paper cites.
Codebert: A pre-trained model for programming and natural languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, et al · 2020
Earlier work this paper cites.
Unsupervised translation of programming languages
Baptiste Roziere, Marie-Anne Lachaux, Lowik Chanussot, and Guillaume Lample. 2020 · 2020
Earlier work this paper cites.
DOBF: A deobfuscation pre-training objective for programming languages
Marie-Anne Lachaux, Baptiste Roziere, Marc Szafraniec, and Guillaume Lample. 2021 · 2021
Earlier work this paper cites.
Codexglue: A machine learning benchmark dataset for code understanding and generation
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, et al · 2021
Earlier work this paper cites.
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Shyam Ramji, Ulrich Finkler, Susan Malaika, and Frederick Reiss. 2021 · 2021
Earlier work this paper cites.
Leveraging automated unit tests for unsupervised code translation
Baptiste Roziere, Jie M Zhang, Francois Charton, Mark Harman, Gabriel Synnaeve, and Guillaume Lample. 2021 · 2021
Cited alongside, same era.
Yue Wang, Weishi Wang, Shafiq Joty, and Steven CH Hoi. 2021 · 2021
Cited alongside, same era.
Perfection Not Required? Human-AI Partnerships in Code Translation. In 26th International Conference on Intelligent User Interfaces . ACM, College Station TX USA, 402–412
Justin D. Weisz, Michael Muller, Stephanie Houde, John Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, and Kartik Talamadupula. 2021 · 2021
Cited alongside, same era.
CrystalBLEU: precisely and efficiently measuring the similarity of code. In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering . 1–12
Aryaz Eghbali and Michael Pradel. 2022 · 2022
Cited alongside, same era.
Code Translation with Compiler Representations
Marc Szafraniec, Baptiste Roziere, Hugh Leather, Francois Charton, Patrick Labatut, and Gabriel Synnaeve. 2023 · 2023
Later among the works it cites.
Magicoder: Source Code Is All You Need
Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, and Lingming Zhang. 2023 · 2023
Later among the works it cites.
Codegeex: A pre-trained model for code generation with multilingual evaluations on humaneval-x
Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, et al · 2023
Later among the works it cites.
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
Shuyan Zhou, Uri Alon, Sumit Agarwal, and Graham Neubig. 2023 · 2023
Later among the works it cites.
Airoboros 13B HF fp16
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. In The Eleventh International Conference on Learning Representations
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong. 2022 · 2022
Cited alongside, same era.
Xlcost: A benchmark dataset for cross-lingual code intelligence
Ming Zhu, Aneesh Jain, Karthik Suresh, Roshan Ravindran, Sindhu Tipirneni, and Chandan K Reddy. 2022a · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Cited alongside, same era.
Large language models for software engineering: Survey and open problems
Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, and Jie M Zhang. 2023 · 2023
Cited alongside, same era.
Prompting Is All Your Need: Automated Android Bug Replay with Large Language Models
Sidong Feng and Chunyang Chen. 2023 · 2023
Cited alongside, same era.
Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study
Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, and Michael R Lyu. 2023 · 2023
Cited alongside, same era.
Efficient Memory Management for Large Language Model Serving with PagedAttention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, and Ion Stoica. 2023 · 2023
Cited alongside, same era.
Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting. In 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) . IEEE, 14–26
Tsz-On Li, Wenxi Zong, Yibo Wang, Haoye Tian, Ying Wang, Shing-Chi Cheung, and Jeff Kramer. 2023b · 2023
Cited alongside, same era.
2024 · 2024
Closest in time.
Aizu online judge
2024 · 2024
Closest in time.
C to Go translator
2024 · 2024
Closest in time.
GeeksForGeeks
2024 · 2024
Closest in time.
Java 2 CSharp Translator for Eclipse
2024 · 2024
Closest in time.
Sharpen - Automated Java → \rightarrow C# coversion
2024 · 2024
Closest in time.
Wizard-Vicuna-13B-Uncensored float16 HF
2024 · 2024
Closest in time.
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning
Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, and Xiangke Liao. 2024 · 2024
Closest in time.
Mixtral of Experts
Mistral AI Team. 2023 · 2024
Closest in time.
Understanding the Effectiveness of Large Language Models in Code Translation
Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, and Reyhaneh Jabbarvand. 2023 · 2024
Closest in time.