Ailun Yu

According to our database, Ailun Yu authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises.

Daoguang Zan, Ailun Yu, Bo Shen, Bei Chen, Wei Li, Yongshun Gong, Xiaolin Chen, Yafen Yao, Weihua Luo, Bei Guan, Yan Liu, Yongji Wang, Qianxiang Wang, Lizhen Cui

Proc. ACM Softw. Eng., 2024

SWE-bench-java: A GitHub Issue Resolving Benchmark for Java.

Daoguang Zan, Zhirong Huang, Ailun Yu, Shaoxin Lin, Yifan Shi, Wei Liu, Dong Chen, Zongshuai Qi, Hao Yu, Lei Yu, Dezhi Ran, Muhan Zeng, Bo Shen, Pan Bian, Guangtai Liang, Bei Guan, Pengjie Huang, Tao Xie, Yongji Wang, Qianxiang Wang

CoRR, 2024

GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model.

Wei Liu, Ailun Yu, Daoguang Zan, Bo Shen, Wei Zhang, Haiyan Zhao, Zhi Jin, Qianxiang Wang

CoRR, 2024

CodeS: Natural Language to Code Repository via Multi-Layer Sketch.

Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui

CoRR, 2024

Improving Natural Language Capability of Code Large Language Model.

Wei Li, Daoguang Zan, Bei Guan, Ailun Yu, Xiaolin Chen, Yongji Wang

CoRR, 2024

Perception field based imitation learning for unlabeled multi-agent pathfinding.

Wenjie Chu, Ailun Yu, Wei Zhang, Haiyan Zhao, Zhi Jin

Sci. China Inf. Sci., 2024

GraphCoder: Enhancing Repository-Level Code Completion via Coarse-to-fine Retrieval Based on Code Context Graph.

Wei Liu, Ailun Yu, Daoguang Zan, Bo Shen, Wei Zhang, Haiyan Zhao, Zhi Jin, Qianxiang Wang

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Focused: An Approach to Framework-Oriented Cross-Language Link Specification and Detection.

Ailun Yu, Yifan Shi, Bo Shen, Wei Zhang, Haiyan Zhao, Guangtai Liang, Tianyong Wu, Zhi Jin

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

CodeM: Less Data Yields More Versatility via Ability Matrix.

Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Can Programming Languages Boost Each Other via Instruction Tuning?

Daoguang Zan, Ailun Yu, Bo Shen, Jiaxin Zhang, Taihong Chen, Bing Geng, Bei Chen, Jichuan Ji, Yafen Yao, Yongji Wang, Qianxiang Wang

CoRR, 2023

PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback.

Bo Shen, Jiaxin Zhang, Taihong Chen, Daoguang Zan, Bing Geng, An Fu, Muhan Zeng, Ailun Yu, Jichuan Ji, Jingyang Zhao, Yuenan Guo, Qianxiang Wang

CoRR, 2023

2021

SoManyConflicts: Resolve Many Merge Conflicts Interactively and Systematically.

Bo Shen, Wei Zhang, Ailun Yu, Yifan Shi, Haiyan Zhao, Zhi Jin

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Cross-language Code Coupling Detection: A Preliminary Study on Android Applications.

Bo Shen, Wei Zhang, Ailun Yu, Zhao Wei, Guangtai Liang, Haiyan Zhao, Zhi Jin

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021