WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
Huawen Feng, Pu Zhao, Qingfeng Sun, Can Xu, Fangkai Yang, Lu Wang, Qianli Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Authors
- Qianli Ma (ORCID: https://orcid.org/0000-0002-4709-4927)
- Qing‐Feng Sun (ORCID: https://orcid.org/0000-0002-5512-9608)
- Pu Zhao (ORCID: https://orcid.org/0000-0001-5018-2859)
- Qingwei Lin (ORCID: https://orcid.org/0000-0003-2559-2383)
- Qi Zhang (ORCID: https://orcid.org/0009-0001-2003-4430)
- Lu Wang (ORCID: https://orcid.org/0000-0003-2210-169X)
- Can Xu (ORCID: https://orcid.org/0000-0002-7354-9374)
- Fangkai Yang (ORCID: https://orcid.org/0000-0002-3089-0345)
- Dongmei Zhang (ORCID: https://orcid.org/0000-0001-6654-9598)
- Huawen Feng
- Saravan Rajmohan (ORCID: https://orcid.org/0009-0003-0204-7187)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.acl-long.246
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Guangdong Province
- Science and Technology Planning Project of Guangdong Province