Kechi Zhang

According to our database, Kechi Zhang authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

HiRoPE: Length Extrapolation for Code Models.

Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin

CoRR, 2024

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.

Kechi Zhang, Jia Li, Ge Li, Xianjie Shi, Zhi Jin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position.

Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

CodeEditor: Learning to Edit Source Code with Pre-trained Models.

Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu, Kechi Zhang, Zhiyi Fu

ACM Trans. Softw. Eng. Methodol., November, 2023

ToolCoder: Teach Code Generation Models to use API search tools.

Kechi Zhang, Ge Li, Jia Li, Zhuo Li, Zhi Jin

CoRR, 2023

Learning Program Representations with a Tree-Structured Transformer.

Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu

Proceedings of the IEEE International Conference on Software Analysis, 2023

Implant Global and Local Hierarchy Information to Sequence based Code Representation Models.

Kechi Zhang, Zhuo Li, Zhi Jin, Ge Li

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Interpretation-based Code Summarization.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Shaomeng Cao, Kechi Zhang, Zhi Jin

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Self-Edit: Fault-Aware Code Editor for Code Generation.

Kechi Zhang, Zhuo Li, Jia Li, Ge Li, Zhi Jin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Tree-structured Transformer for Program Representation Learning.

Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu

CoRR, 2022

What does Transformer learn about source code?

Kechi Zhang, Ge Li, Zhi Jin

CoRR, 2022

Learning to represent programs with heterogeneous graphs.

Kechi Zhang, Wenhan Wang, Huangzhao Zhang, Ge Li, Zhi Jin

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

2020

Learning to Represent Programs with Heterogeneous Graphs.

Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin

CoRR, 2020