Less training, more repairing please: revisiting automated program repair via zero-shot learning. - Chunqiu Steven Xia; Lingming Zhang 001 (ESEC/SIGSOFT FSE, 2022)

Practical Program Repair in the Era of Large Pre-trained Language Models. - Chunqiu Steven Xia; Yuxiang Wei 003; Lingming Zhang 001 (CoRR, 2022)

Fuzzing Deep-Learning Libraries via Large Language Models. - Yinlin Deng; Chunqiu Steven Xia; Haoran Peng; Chenyuan Yang; Lingming Zhang 001 (CoRR, 2022)

Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests. - Chunqiu Steven Xia; Saikat Dutta 001; Sasa Misailovic; Darko Marinov; Lingming Zhang 001 (ICSE, 2023)

Automated Program Repair in the Era of Large Pre-trained Language Models. - Chunqiu Steven Xia; Yuxiang Wei 003; Lingming Zhang 001 (ICSE, 2023)

Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models. - Yinlin Deng; Chunqiu Steven Xia; Haoran Peng; Chenyuan Yang; Lingming Zhang 001 (ISSTA, 2023)

The Plastic Surgery Hypothesis in the Era of Large Language Models. - Chunqiu Steven Xia; Yifeng Ding; Lingming Zhang 001 (ASE, 2023)

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation. - Jiawei Liu 004; Chunqiu Steven Xia; Yuyao Wang; Lingming Zhang 001 (NeurIPS, 2023)

Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair. - Yuxiang Wei 003; Chunqiu Steven Xia; Lingming Zhang 001 (ESEC/SIGSOFT FSE, 2023)

Conversational Automated Program Repair. - Chunqiu Steven Xia; Lingming Zhang 001 (CoRR, 2023)

Revisiting the Plastic Surgery Hypothesis via Large Language Models. - Chunqiu Steven Xia; Yifeng Ding; Lingming Zhang 001 (CoRR, 2023)

Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT. - Chunqiu Steven Xia; Lingming Zhang 001 (CoRR, 2023)

Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT. - Yinlin Deng; Chunqiu Steven Xia; Chenyuan Yang; Shizhuo Dylan Zhang; Shujing Yang; Lingming Zhang 001 (CoRR, 2023)

Universal Fuzzing via Large Language Models. - Chunqiu Steven Xia; Matteo Paltenghi; Jia Le Tian; Michael Pradel; Lingming Zhang 001 (CoRR, 2023)

Large Language Models are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning Libraries. - Yinlin Deng; Chunqiu Steven Xia; Chenyuan Yang; Shizhuo Dylan Zhang; Shujing Yang; Lingming Zhang 001 (ICSE, 2024)

Fuzz4All: Universal Fuzzing with Large Language Models. - Chunqiu Steven Xia; Matteo Paltenghi; Jia Le Tian; Michael Pradel; Lingming Zhang 001 (ICSE, 2024)

Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT. - Chunqiu Steven Xia; Lingming Zhang 001 (ISSTA, 2024)

Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs? - Yinlin Deng; Chunqiu Steven Xia; Zhezhen Cao; Meiziniu Li; Lingming Zhang 001 (NeurIPS, 2024)

Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM. - Chunqiu Steven Xia; Yinlin Deng; Lingming Zhang 001 (CoRR, 2024)

A Unified Debugging Approach via LLM-Based Multi-Agent Synergy. - Cheryl Lee; Chunqiu Steven Xia; Jen-tse Huang 001; Zhouruixin Zhu; Lingming Zhang 001; Michael R. Lyu (CoRR, 2024)

Agentless: Demystifying LLM-based Software Engineering Agents. - Chunqiu Steven Xia; Yinlin Deng; Soren Dunn; Lingming Zhang 001 (CoRR, 2024)

Demystifying LLM-Based Software Engineering Agents. - Chunqiu Steven Xia; Yinlin Deng; Soren Dunn; Lingming Zhang 001 (Proc. ACM Softw. Eng., 2025)