SWE-RL: Advancing LLM Reasoning via
Reinforcement Learning on Open Software Evolution
Wei, Yuxiang, Olivier Duchenne, Jade Copet, Quentin
Carbonneaux, Lingming Zhang, Daniel Fried, Gabriel Synnaeve, Rishabh
Singh, and Sida I. Wang.
arXiv Preprint arXiv:2502.18449,
2025.
https://arxiv.org/abs/2502.18449.
[NeurIPS’24]
SelfCodeAlign: Self-Alignment for Code Generation
Wei, Yuxiang, Federico Cassano, Jiawei Liu, Yifeng
Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro Von Werra,
Arjun Guha, and Lingming Zhang. In
The Thirty-Eighth Annual
Conference on Neural Information Processing Systems, 2024.
https://openreview.net/forum?id=xXRnUU7xTL.
[DL4C@ICLR’25]
Arctic-SnowCoder: Demystifying High-Quality Data in Code
Pretraining
Wei, Yuxiang, Hojae Han, and
Rajhans Samdani. In
ICLR 2025 Third Workshop on Deep Learning for
Code, 2025.
https://openreview.net/forum?id=lP44oj9cWU.
[COLM’24]
Evaluating Language Models for Efficient Code
Generation
Liu, Jiawei, Songrun Xie, Junhao Wang,
Yuxiang Wei, Yifeng Ding, and Lingming Zhang. In
First Conference on Language Modeling, 2024.
https://openreview.net/forum?id=IBCBMeAhmC.
[LCFM@ICML’24]
RepoQA: Evaluating Long Context Code
Understanding
Liu, Jiawei, Jia Le Tian, Vijay Daita,
Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang, Jun
Yang, and Lingming Zhang. In
First Workshop on Long-Context
Foundation Models @ ICML 2024, 2024.
https://openreview.net/forum?id=hK9YSrFuGf.
StarCoder 2 and the Stack V2: The Next
Generation
Lozhkov, Anton, Raymond Li, Loubna Ben Allal,
Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro
Pykhtar, Jiawei Liu,
Yuxiang Wei, et al.
arXiv
Preprint arXiv:2402.19173, 2024.
[ACL’24]
XFT: Unlocking the Power of Code Instruction Tuning by Simply
Merging Upcycled Mixture-of-Experts
Ding, Yifeng, Jiawei
Liu,
Yuxiang Wei, and Lingming Zhang. In
Proceedings of the 62nd Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long Papers), 12941–55.
Bangkok, Thailand: Association for Computational Linguistics, 2024.
https://aclanthology.org/2024.acl-long.699.
[ICML’24]
Magicoder: Empowering Code Generation with
OSS-Instruct
Wei, Yuxiang,
Zhe Wang, Jiawei Liu, Yifeng Ding, and Lingming Zhang. In
Proceedings of the 41st International Conference on Machine
Learning, 235:52632–57. Proceedings of Machine Learning Research.
PMLR, 2024.
https://proceedings.mlr.press/v235/wei24h.html.
[ESEC/FSE’23]
Copiloting the Copilots: Fusing Large Language Models with
Completion Engines for Automated Program Repair
Wei, Yuxiang, Chunqiu Steven Xia, and Lingming Zhang.
In
Proceedings of the 31st ACM Joint European Software Engineering
Conference and Symposium on the Foundations of Software
Engineering, 172–84. New York, NY, USA: Association for Computing
Machinery, 2023.
https://doi.org/10.1145/3611643.3616271.
[ICSE’23]
Automated Program Repair in the Era of Large Pre-Trained Language
Models
Xia, Chunqiu Steven,
Yuxiang Wei,
and Lingming Zhang. In
Proceedings of the 45th International
Conference on Software Engineering, 1482–94. ICSE ’23. Melbourne,
Victoria, Australia: IEEE Press, 2023.
https://doi.org/10.1109/ICSE48619.2023.00129.
[OOPSLA’22]
Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass
Mutation
Liu, Jiawei,
Yuxiang Wei, Sen
Yang, Yinlin Deng, and Lingming Zhang.
Proc. ACM Program.
Lang. 6, no. OOPSLA1 (April 2022).
https://doi.org/10.1145/3527317.
