Fetching the paper…
Reading the bibliography…
Large language models (LLMs) have achieved substantial progress in repository-level code generation.
Applying the ISO/IEC 25010 quality models to software product. In European Conference on Software Process Improvement . Springer, 492–503
John Estdale and Elli Georgiadou. 2018 · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
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
Earlier work this paper cites.
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
Earlier work this paper cites.
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
Earlier work this paper cites.
Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, et al · 2023
Earlier work this paper cites.
Starcoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, et al · 2023
Earlier work this paper cites.
Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation
Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, and Lingming Zhang. 2023 · 2023
Earlier work this paper cites.
Self-refine: Iterative refinement with self-feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, et al · 2023
Earlier work this paper cites.
Repocoder: Repository-level code completion through iterative retrieval and generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing . 2471–2484
Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, and Weizhu Chen. 2023 · 2023
Earlier work this paper cites.
Iterative refinement of project-level code context for precise code generation with compiler feedback. In Findings of the Association for Computational Linguistics: ACL 2024 . 2336–2353
Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Hai Jin, and Xuanhua Shi. 2024 · 2024
Earlier work this paper cites.
Towards Self-Improving Language Models for Code Generation. In ICLR 2024 Workshop on Large Language Model (LLM) Agents
Michaël Defferrard, Corrado Rainone, David W Zhang, Blazej Manczak, Natasha Butt, and Taco Cohen. [n. d.] · 2024
Earlier work this paper cites.
Evaluating large language models in class-level code generation. In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering . 1–13
Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, and Yiling Lou. 2024 · 2024
Earlier work this paper cites.
DeepSeek-Coder: when the large language model meets programming–the rise of code intelligence
Daya Guo, Qihao Zhu, Dejian Yang, Zhenda Xie, Kai Dong, Wentao Zhang, Guanting Chen, Xiao Bi, Yifan Wu, YK Li, et al · 2024
Earlier work this paper cites.
Large language models for software engineering: A systematic literature review
Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, and Haoyu Wang. 2024 · 2024
Cited alongside, same era.
Qwen2. 5-coder technical report
Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Keming Lu, et al · 2024
Cited alongside, same era.
Mapcoder: Multi-agent code generation for competitive problem solving. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 4912–4944
Md Ashraful Islam, Mohammed Eunus Ali, and Md Rizwan Parvez. 2024 · 2024
Cited alongside, same era.
From llms to llm-based agents for software engineering: A survey of current, challenges and future
Haolin Jin, Linghan Huang, Haipeng Cai, Jun Yan, Bo Li, and Huaming Chen. 2024 · 2024
Cited alongside, same era.
Se-agent: Self-evolution trajectory optimization in multi-step reasoning with llm-based agents
Jiaye Lin, Yifu Guo, Yuzhen Han, Sen Hu, Ziyi Ni, Licheng Wang, Mingguang Chen, Hongzhang Liu, Ronghao Chen, Yangfan He, et al · 2025
Later among the works it cites.
RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation
Jane Luo, Xin Zhang, Steven Liu, Jie Wu, Jianfeng Liu, Yiming Huang, Yangyu Huang, Chengyu Yin, Ying Xin, Yuefeng Zhan, et al · 2025
Later among the works it cites.
Alphaevolve: A coding agent for scientific and algorithmic discovery
Alexander Novikov, Ngân Vũ, Marvin Eisenberger, Emilien Dupont, Po-Sen Huang, Adam Zsolt Wagner, Sergey Shirobokov, Borislav Kozlovskii, Francisco JR Ruiz, Abbas Mehrabian, et al · 2025
Later among the works it cites.
Codecor: An llm-based self-reflective multi-agent framework for code generation
Ruwei Pan, Hongyu Zhang, and Chao Liu. 2025 · 2025
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A survey on llm-based code generation for low-resource and domain-specific programming languages
Sathvik Joel, Jie Wu, and Fatemeh Fard. 2024 · 2024
Cited alongside, same era.
Deveval: A manually-annotated code generation benchmark aligned with real-world code repositories. In Findings of the Association for Computational Linguistics: ACL 2024 . 3603–3614
Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, et al · 2024
Cited alongside, same era.
Aixin Liu, Bei Feng, Bing Xue, Bingxuan Wang, Bochao Wu, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, et al · 2024
Cited alongside, same era.
Starcoder 2 and the stack v2: The next generation
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
Cited alongside, same era.
Using an llm to help with code understanding. In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering . 1–13
Daye Nam, Andrew Macvean, Vincent Hellendoorn, Bogdan Vasilescu, and Brad Myers. 2024 · 2024
Cited alongside, same era.
Training software engineering agents and verifiers with swe-gym
Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, and Yizhe Zhang. 2024 · 2024
Cited alongside, same era.
Codeagent: Enhancing code generation with tool-integrated agent systems for real-world repo-level coding challenges. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 13643–13658
Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, and Zhi Jin. 2024 · 2024
Cited alongside, same era.
Nocode-bench: A benchmark for evaluating natural language-driven feature addition
Le Deng, Zhonghao Jiang, Jialun Cao, Michael Pradel, and Zhongxin Liu. 2025 · 2025
Cited alongside, same era.
Aaditya Singh, Adam Fry, Adam Perelman, Adam Tart, Adi Ganesh, Ahmed El-Kishky, Aidan McLaughlin, Aiden Low, AJ Ostrow, Akhila Ananthram, et al · 2025
Later among the works it cites.
Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly?
Chunqiu Steven Xia, Zhe Wang, Yan Yang, Yuxiang Wei, and Lingming Zhang. 2025 · 2025
Later among the works it cites.
Introducing Claude Sonnet 4.5
Anthropic. 2025 · 2026
Closest in time.
Gemini 3 Pro Preview
Google. 2025 · 2026
Closest in time.
Controlled self-evolution for algorithmic code optimization
Tu Hu, Ronghao Chen, Shuo Zhang, Jianghao Yin, Mou Xiao Feng, Jingping Liu, Shaolei Zhang, Wenqi Jiang, Yuqi Fang, Sen Hu, et al · 2026
Closest in time.
A survey on large language models for code generation
Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, and Sunghun Kim. 2026 · 2026
Closest in time.
Code Metrics - Maintainability Index Range and Meaning
Microsoft. 2025 · 2026
Closest in time.
Ruwei Pan, Yakun Zhang, Qingyuan Liang, Yueheng Zhu, Chao Liu, Lu Zhang, and Hongyu Zhang. 2026 · 2026
Closest in time.
EvoCodeBench: A Human-Performance Benchmark for Self-Evolving LLM-Driven Coding Systems
Wentao Zhang, Jianfeng Wang, Liheng Liang, Yilei Zhao, HaiBin Wen, and Zhe Zhao. 2026 · 2026
Closest in time.