Chunqiu Steven Xia

According to our database, Chunqiu Steven Xia authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM.

Chunqiu Steven Xia, Yinlin Deng, Lingming Zhang

CoRR, 2024

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

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Universal Fuzzing via Large Language Models.

Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, Lingming Zhang

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

CoRR, 2023

Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT.

Chunqiu Steven Xia, Lingming Zhang

CoRR, 2023

Revisiting the Plastic Surgery Hypothesis via Large Language Models.

Chunqiu Steven Xia, Yifeng Ding, Lingming Zhang

CoRR, 2023

Conversational Automated Program Repair.

Chunqiu Steven Xia, Lingming Zhang

CoRR, 2023

Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair.

Yuxiang Wei, Chunqiu Steven Xia, Lingming Zhang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, Lingming Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Plastic Surgery Hypothesis in the Era of Large Language Models.

Chunqiu Steven Xia, Yifeng Ding, Lingming Zhang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 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

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Automated Program Repair in the Era of Large Pre-trained Language Models.

Chunqiu Steven Xia, Yuxiang Wei, Lingming Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests.

Chunqiu Steven Xia, Saikat Dutta, Sasa Misailovic, Darko Marinov, Lingming Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Fuzzing Deep-Learning Libraries via Large Language Models.

Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, Lingming Zhang

CoRR, 2022

Practical Program Repair in the Era of Large Pre-trained Language Models.

Chunqiu Steven Xia, Yuxiang Wei, Lingming Zhang

CoRR, 2022

Less training, more repairing please: revisiting automated program repair via zero-shot learning.

Chunqiu Steven Xia, Lingming Zhang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022