Zexiong Ma is a final-year Ph.D. candidate supervised by Prof. Bing Xie in Software Engineering Institute, School of Computer Science, Peking University. Previously, He received B.S. degree in Computer Science from Tianjin University in 2021.

His research interest is the application of large language models in coding and reasoning scenarios, including:

(1) coding: coding agent, retrievel-augmented code generation;

(2) reasoning: mathematical reasoning, long-context reasoning, tool-interative reasoning.

Recently, he has been fully devoted to rule-based reinforcement learning to enhance the reasoning and coding capabilities of LLMs. Please feel free to email him if you’re interested in his research or simply want to talk!

🔥 News

• 2025.12:  🎉🎉 One paper is accepted by SANER 2026.
• 2025.10:  🎉🎉 Three papers are accepted by ICSE 2026.
• 2025.5:  🎉🎉 One paper is accepted by ACL 2025.

📝 Publications

• [ICSE 2026] Tool-integrated Reinforcement Learning for Repo Deep Search. [Paper] [Code]
  Zexiong Ma, Chao Peng, Qunhong Zeng, Pengfei Gao, Yanzhen Zou, Bing Xie.
• [ICSE 2026] An Empirical Study on LLM-based Agents for Automated Bug Fixing. [Paper]
  Xiangxin Meng, Zexiong Ma, Pengfei Gao, Chao Peng.
• [ICSE 2026] Evaluating Generated Commit Messages with Large Language Models. [Paper]
  Qunhong Zeng, Yuxia Zhang, Zexiong Ma, Bo Jiang, Ningyuan Sun, Klaas-Jan Stol, Xingyu Mou, Hui Liu.
• [SANER 2026] Progressively Mitigating API Hallucination in LLM-Generated Code via Knowledge Graph Reasoning.
  Yuxuan Li, Zexiong Ma, Yanzhen Zou, Yue Wang, Lihan Yang, Bing Xie.
• [ACL 2025] SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning. [Paper]
  Zexiong Ma, Chao Peng, Pengfei Gao, Xiangxin Meng, Yanzhen Zou, Bing Xie.
• [LCFM@ICML 2025] Enhancing Retrieval-Augmented Generation with Dehallucinating Parallel Context Extension. [Paper]
  Zexiong Ma, Shengnan An, Zeqi Lin, Yanzhen Zou, Jian-Guang Lou, Bing Xie.
• [NeurIPS 2024] Make Your LLM Fully Utilize the Context. [Paper] [Code]
  Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen.
• [EMNLP 2024] Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks. [Paper] [Code]
  Preprint Version: Learning From Mistakes Makes LLM Better Reasoner. [Paper]
  Shengnan An, Zexiong Ma, Siqi Cai, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen.
• [ICPC 2024] Compositional API Recommendation for Library-Oriented Code Generation. [Paper]
  Zexiong Ma, Shengnan An, Bing Xie, Zeqi Lin.
• [preprint] Repository Structure-Aware Training Makes SLMs Better Issue Resolver. [Paper]
  Zexiong Ma, Shengnan An, Zeqi Lin, Yanzhen Zou, Bing Xie.

📖 Educations

• 2021.09 - 2026.07 (expected), Peking University, Ph.D. in Computer Science. Adviser: Prof. Bing Xie.
• 2017.09 - 2021.07, Tianjin University, B.S. Degree in Computer Science.

🎖 Honors and Awards

• 2025, Ubiquant Scholarship.
• 2019, National Scholarship.
• 2019, National Student Computer System Design Capability Challenge (Loongson Cup), Third Prize.
• 2018, International Collegiate Programming Contest (ACM/ICPC), Silver Medal.
• 2015, National Olympiad in Informatics in Provinces (NOIP), First Prize.

📌 Academic Services

Reviewer for ICLR, LCFM@ICML, ACL Rolling Review

💻 Internships

• 2024.10 - now, Trae/Marscode Research, ByteDance, China. Work with Chao Peng, Pengfei Gao, and Xiangxin Meng.
• 2023.03 - 2024.09, DKI Group, Microsoft, China. Work with Zeqi Lin, and Shengnan An.