Kechi Zhang

Orcid: 0000-0002-3290-0244

According to our database¹, Kechi Zhang authored at least 43 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices.

[BibT_eX]

[DOI]

CoRR, April, 2026

Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy.

[BibT_eX]

[DOI]

CoRR, April, 2026

Evaluating and Enhancing the Vulnerability Reasoning Capabilities of Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2026

Do Transformers Have the Ability for Periodicity Generalization?

[BibT_eX]

[DOI]

CoRR, January, 2026

KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development?

[BibT_eX]

[DOI]

CoRR, January, 2026

Weights to Code: Extracting Interpretable Algorithms from the Discrete Transformer.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

A Viable Paradigm of Software Automation: Iterative End-to-End Automated Software Development.

[BibT_eX]

[DOI]

CoRR, November, 2025

Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

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

[BibT_eX]

[DOI]

CoRR, August, 2025

A Survey on Code Generation with LLM-based Agents.

[BibT_eX]

[DOI]

CoRR, August, 2025

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

[BibT_eX]

[DOI]

CoRR, July, 2025

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

[BibT_eX]

[DOI]

CoRR, July, 2025

Computational Thinking Reasoning in Large Language Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, April, 2025

Transformer-based code model with compressed hierarchy representation.

[BibT_eX]

[DOI]

Empir. Softw. Eng., March, 2025

SEAlign: Alignment Training for Software Engineering Agent.

[BibT_eX]

[DOI]

CoRR, March, 2025

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

[BibT_eX]

[DOI]

CoRR, March, 2025

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

[BibT_eX]

[DOI]

CoRR, March, 2025

FANformer: Improving Large Language Models Through Effective Periodicity Modeling.

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

CoRR, January, 2025

Aligning LLMs to Fully Utilize the Cross-file Context in Repository-level Code Completion.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2024

FAN: Fourier Analysis Networks.

[BibT_eX]

[DOI]

CoRR, 2024

HiRoPE: Length Extrapolation for Code Models.

[BibT_eX]

[DOI]

CoRR, 2024

Deep learning for code generation: a survey.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, 2023

Learning Program Representations with a Tree-Structured Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2023

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

[BibT_eX]

[DOI]

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

Interpretation-based Code Summarization.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

What does Transformer learn about source code?

[BibT_eX]

[DOI]

Kechi Zhang

Ge Li

Zhi Jin

CoRR, 2022

Learning to represent programs with heterogeneous graphs.

[BibT_eX]

[DOI]

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

2020

Learning to Represent Programs with Heterogeneous Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Kechi Zhang

Timeline

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