Publications

* denotes equal contribution. See also Google Scholar.

2026

GLM-5: from Vibe Coding to Agentic Engineering Core Contributor

Aohan Zeng, Xin Lv, Zhenyu Hou, Zhengxiao Du, Qinkai Zheng, Bin Chen, Da Yin, Chendi Ge, Chengxing Xie, Cunxiang Wang, Gengzheng Pan, Hao Zeng, Haoke Zhang, Haoran Wang, others

Technical Report, 2026

PDF arXiv

SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving Oral

Wendong Xu, Jing Xiong, Chenyang Zhao, Qiujiang Chen, Haoran Wang, Hui Shen, Zhongwei Wan, Jianbo Dai, Taiqiang Wu, He Xiao, Chaofan Tao, Z. Morley Mao, Ying Sheng, Zhijiang Guo, Hongxia Yang, Bei Yu, others

International Conference on Learning Representations (ICLR), 2026

PDF arXiv

2025

SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling

Haoran Wang^*, Zhenyu Hou^*, Yao Wei, Jie Tang, Yuxiao Dong (* equal contribution)

Findings of the Association for Computational Linguistics: ACL 2025, 2025

PDF Code Link

OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework

Jian Hu, Xibin Wu, Wei Shen, Jason Klein Liu, Weixun Wang, Songlin Jiang, Haoran Wang, Hao Chen, Bin Chen, Wenkai Fang, Yu Cao, Haotian Xu, Yiming Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2025

PDF Code arXiv

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Aohan Zeng, Xin Lv, Qinkai Zheng, Zhenyu Hou, Bin Chen, Chengxing Xie, Cunxiang Wang, Da Yin, Hao Zeng, Jiajie Zhang, Kedong Wang, Lucen Zhong, Mingdao Liu, Rui Lu, Shulin Cao, Xiaohan Zhang, Haoran Wang, others

Technical Report, 2025

PDF Code arXiv

Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study

Xingxuan Zhang^*, Haoran Wang^*, Jiansheng Li, Yuan Xue, Shikai Guan, Renzhe Xu, Hao Zou, Han Yu, Peng Cui (* equal contribution)

International Conference on Learning Representations (ICLR), 2025

PDF arXiv