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Code editing encompasses a variety of pragmatic tasks that developers deal with daily.
Language models are few-shot learners
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Defects4j: A database of existing faults to enable controlled testing studies for java programs
René Just, Darioush Jalali, and Michael D Ernst. 2014 · 2014
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Codit: Code editing with tree-based neural models
Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, and Baishakhi Ray. 2020 · 2020
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Patching as translation: the data and the metaphor
Yangruibo Ding, Baishakhi Ray, Premkumar Devanbu, and Vincent J Hellendoorn. 2020 · 2020
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The pile: An 800gb dataset of diverse text for language modeling
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Learning to fix build errors with graph2diff neural networks
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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 · 2021
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Ext5: Towards extreme multi-task scaling for transfer learning
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, and Donald Metzler. 2022 · 2022
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GPT-neox-20b: An open-source autoregressive language model
Sidney Black, Stella Biderman, Eric Hallahan, Quentin Gregory Anthony, Leo Gao, Laurence Golding, Horace He, Connor Leahy, Kyle McDonell, Jason Phang, Michael Martin Pieler, USVSN Sai Prashanth, Shivanshu Purohit, Laria Reynolds, Jonathan Tow, Ben Wang, and Samuel Weinbach. 2022 · 2022
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
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Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022 · 2022
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Or Honovich, Thomas Scialom, Omer Levy, and Timo Schick. 2022 · 2022
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Edward J Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022 · 2022
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Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, et al. 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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Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023 · 2023
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The flan collection: Designing data and methods for effective instruction tuning
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Cross-task generalization via natural language crowdsourcing instructions
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Introducing ChatGPT
OpenAI. 2022 · 2022
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Training language models to follow instructions with human feedback
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Bloom: A 176b-parameter open-access multilingual language model
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Super-NaturalInstructions: Generalization via declarative instructions on 1600+ NLP tasks
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, and Quoc V. Le. 2022 · 2022
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Pythia: A suite for analyzing large language models across training and scaling
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Incoder: A generative model for code infilling and synthesis
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Code llama: Open foundation models for code
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Coeditor: Leveraging contextual changes for multi-round code auto-editing
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Instruction in the wild: A user-based instruction dataset
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Codegeex: A pre-trained model for code generation with multilingual evaluations on humaneval-x
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Large language models are state-of-the-art evaluators of code generation
Terry Yue Zhuo. 2023 · 2023
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