Kechi Zhang

According to our database, Kechi Zhang authored at least 34 papers between 2020 and 2025.

Collaborative distances:

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

2025

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization.

Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li

CoRR, August, 2025

A Survey on Code Generation with LLM-based Agents.

Yihong Dong, Xue Jiang, Jiaru Qian, Tian Wang, Kechi Zhang, Zhi Jin, Ge Li

CoRR, August, 2025

StackTrans: From Large Language Model to Large Pushdown Automata Model.

Kechi Zhang, Ge Li, Jia Li, Huangzhao Zhang, Yihong Dong, Jia Li, Jingjing Xu, Zhi Jin

CoRR, July, 2025

Enhancing Repository-Level Code Generation with Call Chain-Aware Multi-View Context.

Yang Liu, Li Zhang, Fang Liu, Zhuohang Wang, Donglin Wei, Zhishuo Yang, Kechi Zhang, Jia Li, Lin Shi

CoRR, July, 2025

Computational Thinking Reasoning in Large Language Models.

Kechi Zhang, Ge Li, Jia Li, Huangzhao Zhang, Jingjing Xu, Hao Zhu, Lecheng Wang, Jia Li, Yihong Dong, Jing Mai, Bin Gu, Zhi Jin

CoRR, June, 2025

SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning.

Huanyu Liu, Jia Li, Hao Zhu, Kechi Zhang, Yihong Dong, Ge Li

CoRR, May, 2025

CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation.

Jia Li, Xianjie Shi, Kechi Zhang, Lei Li, Ge Li, Zhengwei Tao, Jia Li, Fang Liu, Chongyang Tao, Zhi Jin

CoRR, April, 2025

Transformer-based code model with compressed hierarchy representation.

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

Empir. Softw. Eng., March, 2025

SEAlign: Alignment Training for Software Engineering Agent.

Kechi Zhang, Huangzhao Zhang, Ge Li, Jinliang You, Jia Li, Yunfei Zhao, Zhi Jin

CoRR, March, 2025

aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion.

Jia Li, Hao Zhu, Huanyu Liu, Xianjie Shi, He Zong, Yihong Dong, Kechi Zhang, Siyuan Jiang, Zhi Jin, Ge Li

CoRR, March, 2025

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding.

Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Jia Li, Zhengwei Tao, Fang Liu, Chongyang Tao, Yuqi Zhu, Zhi Jin

CoRR, March, 2025

FANformer: Improving Large Language Models Through Effective Periodicity Modeling.

Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Hao Zhu, Huanyu Liu, Jiazheng Ding, Jia Li, Jinliang Deng, Hong Mei

CoRR, February, 2025

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points.

Kechi Zhang, Ge Li, Jia Li, Yihong Dong, Jia Li, Zhi Jin

CoRR, February, 2025

Revisit Self-Debugging with Self-Generated Tests for Code Generation.

Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin

CoRR, January, 2025

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points.

Kechi Zhang, Ge Li, Jia Li, Yihong Dong, Zhi Jin

Proceedings of the Findings of the Association for Computational Linguistics, 2025

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code.

Kechi Zhang, Ge Li, Yihong Dong, Jingjing Xu, Jun Zhang, Jing Su, Yongfei Liu, Zhi Jin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Benchmarking Long-Context Language Models on Long Code Understanding.

Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Zhengwei Tao, Fang Liu, Chongyang Tao, Yuqi Zhu, Zhi Jin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Revisit Self-Debugging with Self-Generated Tests for Code Generation.

Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Xinyu Zhang, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion.

Siyuan Jiang, Jia Li, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Gen Wang, Yihong Dong, Kechi Zhang, Ge Li

CoRR, 2024

FAN: Fourier Analysis Networks.

Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jing Su, Jun Zhang, Jingjing Xu

CoRR, 2024

HiRoPE: Length Extrapolation for Code Models.

Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin

CoRR, 2024

Deep learning for code generation: a survey.

Huangzhao Zhang, Kechi Zhang, Zhuo Li, Jia Li, Jia Li, Yongmin Li, Yunfei Zhao, Yuqi Zhu, Fang Liu, Ge Li, Zhi Jin

Sci. China Inf. Sci., 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