Learning From Mistakes Makes LLM Better Reasoner. - Shengnan An; Zexiong Ma; Zeqi Lin; Nanning Zheng 001; Jian-Guang Lou; Weizhu Chen (CoRR, 2023)

Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks. - Shengnan An; Zexiong Ma; Siqi Cai; Zeqi Lin; Nanning Zheng 001; Jian-Guang Lou; Weizhu Chen (EMNLP (Findings), 2024)

Compositional API Recommendation for Library-Oriented Code Generation. - Zexiong Ma; Shengnan An; Bing Xie; Zeqi Lin (ICPC, 2024)

Make Your LLM Fully Utilize the Context. - Shengnan An; Zexiong Ma; Zeqi Lin; Nanning Zheng 001; Jian-Guang Lou; Weizhu Chen (NeurIPS, 2024)

Make Your LLM Fully Utilize the Context. - Shengnan An; Zexiong Ma; Zeqi Lin; Nanning Zheng 001; Jian-Guang Lou (CoRR, 2024)

An Empirical Study on LLM-based Agents for Automated Bug Fixing. - Xiangxin Meng; Zexiong Ma; Pengfei Gao; Chao Peng 002 (CoRR, 2024)

Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation. - Zexiong Ma; Shengnan An; Zeqi Lin; Yanzhen Zou; Jian-Guang Lou; Bing Xie (CoRR, 2024)

Repository Structure-Aware Training Makes SLMs Better Issue Resolver. - Zexiong Ma; Shengnan An; Zeqi Lin; Yanzhen Zou; Bing Xie (CoRR, 2024)

SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning. - Zexiong Ma; Chao Peng 002; Pengfei Gao; Xiangxin Meng; Yanzhen Zou; Bing Xie (ACL (1), 2025)

Evaluating Generated Commit Messages with Large Language Models. - Qunhong Zeng; Yuxia Zhang; Zexiong Ma; Bo Jiang; Ningyuan Sun; Klaas-Jan Stol; Xingyu Mou; Hui Liu 003 (CoRR, 2025)

Tool-integrated Reinforcement Learning for Repo Deep Search. - Zexiong Ma; Chao Peng 002; Qunhong Zeng; Pengfei Gao; Yanzhen Zou; Bing Xie (CoRR, 2025)