On the Impacts of Contexts on Repository-Level Code Generation

Codebert: A pre-trained model for programming and natural languages

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A survey of self-admitted technical debt

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Program synthesis with large language models

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Evaluating large language models trained on code

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Measuring coding challenge competence with apps

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Lora: Low-rank adaptation of large language models

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Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation

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Execution-based evaluation for data science code generation models

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Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin Clement, Nan Duan, and Jianfeng Gao. 2022 · 2022

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Codegen: An open large language model for code with multi-turn program synthesis

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Code summarization: Do transformers really understand code?

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Execution-based evaluation for open-domain code generation

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Zhiruo Wang, Shuyan Zhou, Daniel Fried, and Graham Neubig. 2022 · 2022

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A systematic evaluation of large language models of code

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Santacoder: don’t reach for the stars!

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Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Munoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, et al. 2023 · 2023

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Qwen technical report

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Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, and Tianhang Zhu. 2023 · 2023

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Codetf: One-stop transformer library for state-of-the-art code llm

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Crosscodeeval: A diverse and multilingual benchmark for cross-file code completion

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Textbooks are all you need

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Agentcoder: Multi-agent-based code generation with iterative testing and optimisation

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Cited alongside, same era.

Efficient long-text understanding with short-text models

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Phi-2: The surprising power of small language models

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Cited alongside, same era.

Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models

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Cited alongside, same era.

Starcoder: may the source be with you!

Original

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, et al. 2023 · 2023

The llama 3 herd of models

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Deepseek-coder: When the large language model meets programming–the rise of code intelligence

Original

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Analyzing the performance of large language models on code summarization

Original

Rajarshi Haldar and Julia Hockenmaier. 2024 · 2024

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Qwen2. 5-coder technical report

Original

Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Kai Dang, et al. 2024 · 2024

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