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Haoran Wang 王浩然

Senior · Department of CST, Tsinghua University

I work on machine learning, reinforcement learning, and LLM agents. Currently learning computer systems and large language models, and collaborating with the Association for Science and Technology at CST. Outside of research I enjoy coding, table tennis, and surfing the internet.

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Haoran Wang

News

  • 2026-06 Personal site rebuilt on Astro + MDX with full LaTeX/TikZ/Jupyter support.
  • 2024-09 Started reading-notes habit on /notes — covering RLHF, reasoning, and verifier papers.
  • 2024-06 First post on the new blog.

Selected Publications

GLM-5: from Vibe Coding to Agentic Engineering

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

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

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

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

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

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

Recent Notes

Paper reading notes coming soon.

About

I'm a senior in the Department of Computer Science and Technology at Tsinghua University. My interests sit at the intersection of machine learning, reinforcement learning, and LLM agents — these days I spend most of my time on computer systems and large language models.

I serve as deputy of the network department of the Association for Science and Technology at CST, and I'm always happy to collaborate on anything LLM-flavored. Outside of research I enjoy coding, table tennis, and surfing the internet. Reach me at [email protected].

Fun fact: there is a Chinese song called 达拉崩吧 in which my name appears in the lyrics — apparently I'm the descendant of the princess.

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