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Effective communication, specifically through documentation, is the beating heart of collaboration among contributors in software development.
Automatic documentation generation via source code summarization of method context. In Proceedings of the 22nd International Conference on Program Comprehension . 279–290
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Measuring program comprehension: A large-scale field study with professionals
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Deep code comment generation. In Proceedings of the 26th conference on program comprehension . 200–210
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World of code: an infrastructure for mining the universe of open source VCS data. In 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR) . IEEE, 143–154
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
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Program synthesis with large language models
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, et al · 2021
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
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Measuring coding challenge competence with apps
Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, et al · 2021
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Lora: Low-rank adaptation of large language models
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World of code: enabling a research workflow for mining and analyzing the universe of open source VCS data
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Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
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Competition-level code generation with alphacode
Yujia Li, David Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, et al · 2022
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Codegen: An open large language model for code with multi-turn program synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong. 2022 · 2022
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Automatic generation of programming exercises and code explanations using large language models. In Proceedings of the 2022 ACM Conference on International Computing Education Research-Volume 1 . 27–43
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Chain-of-thought prompting elicits reasoning in large language models
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Explaining code examples in introductory programming courses: Llm vs humans
Peter Brusilovsky, Arun-Balajiee Lekshmi-Narayanan, Priti Oli, Jeevan Chapagain, Mohammad Hassany, Rabin Banjade, and Vasile Rus. 2023 · 2023
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GitHub Copilot
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Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah Abdin, Sam Ade Jacobs, and et al. 2024 · 2024
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Llama 3 Model Card
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Introducing the next generation of Claude
Anthropic. 2024 · 2024
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A survey on evaluation of large language models
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, et al · 2023
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Out of the bleu: how should we assess quality of the code generation models?
Mikhail Evtikhiev, Egor Bogomolov, Yaroslav Sokolov, and Timofey Bryksin. 2023 · 2023
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GitHub Copilot for Business is now available
GitHub. 2023 · 2023
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Swe-bench: Can language models resolve real-world github issues?
Carlos E Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan. 2023 · 2023
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Challenges and applications of large language models
Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, and Robert McHardy. 2023 · 2023
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Is your code generated by ChatGPT really correct
Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, and Lingming Zhang. 2023 · 2023
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Code llama: Open foundation models for code
Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, et al · 2023
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Alpaca: A strong, replicable instruction-following model
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B Hashimoto. 2023 · 2023
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On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, and Jin Song Dong. 2024 · 2024
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RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
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