Repository Structure-Aware Training Makes SLMs Better Issue Resolver

Program synthesis with large language models

Original

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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Evaluating large language models trained on code

Original

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 · 2021

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Github copilot

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 · 2022

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Self-instruct: Aligning language models with self-generated instructions

Original

Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A Smith, Daniel Khashabi, and Hannaneh Hajishirzi. 2022 · 2022

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Chain-of-thought prompting elicits reasoning in large language models

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022

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Learning from mistakes makes llm better reasoner

Original

Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, and Weizhu Chen. 2023 · 2023

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Metagpt: Meta programming for multi-agent collaborative framework

Original

Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, et al. 2023 · 2023

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Inferfix: End-to-end program repair with llms

Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, and Alexey Svyatkovskiy. 2023 · 2023

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Repobench: Benchmarking repository-level code auto-completion systems

Original

Tianyang Liu, Canwen Xu, and Julian McAuley. 2023 · 2023

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Wizardcoder: Empowering code large language models with evol-instruct

Original

Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, and Daxin Jiang. 2023 · 2023

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Octopack: Instruction tuning code large language models

Original

Niklas Muennighoff, Qian Liu, Armel Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro Von Werra, and Shayne Longpre. 2023 · 2023

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Code llama: Open foundation models for code

Original

Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Romain Sauvestre, Tal Remez, et al. 2023 · 2023

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Repository-level prompt generation for large language models of code

Disha Shrivastava, Hugo Larochelle, and Daniel Tarlow. 2023 · 2023

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Llama: Open and efficient foundation language models

Original

Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023

Cited alongside, same era.

Autogen: Enabling next-gen llm applications via multi-agent conversation framework

Original

Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang. 2023 · 2023

Cited alongside, same era.

Judging llm-as-a-judge with mt-bench and chatbot arena

Original

Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric. P Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. 2023 · 2023

Cited alongside, same era.

Introducing the next generation of claude

2024 · 2024

Cited alongside, same era.

Codeplan: Repository-level coding using llms and planning

Repoqa: Evaluating long context code understanding

Original

Jiawei Liu, Jia Le Tian, Vijay Daita, Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang, Jun Yang, and Lingming Zhang. 2024 · 2024

Closest in time.

Starcoder 2 and the stack v2: The next generation

Original

Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, et al. 2024 · 2024

Closest in time.

Repoagent: An llm-powered open-source framework for repository-level code documentation generation

Original

Qinyu Luo, Yining Ye, Shihao Liang, Zhong Zhang, Yujia Qin, Yaxi Lu, Yesai Wu, Xin Cong, Yankai Lin, Yingli Zhang, et al. 2024 · 2024

Closest in time.

Compositional api recommendation for library-oriented code generation

Zexiong Ma, Shengnan An, Bing Xie, and Zeqi Lin. 2024 · 2024

Closest in time.

Swe-bench-verified

OpenAI. 2024 · 2024