2025

DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt

Yitong Zhang, Jia Li#, Liyi Cai, Ge Li (# corresponding author)

arXiv, 2025

[Paper] [Code]

DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt

Yitong Zhang, Jia Li#, Liyi Cai, Ge Li (# corresponding author)

arXiv, 2025

[Paper] [Code]

Computational Thinking Reasoning in Large Language Models

Kechi Zhang, Ge Li, Jia Li (Female), Huangzhao Zhang, Jingjing Xu, Hao Zhu, Lecheng Wang, Jia Li, Yihong Dong, et al.

arXiv, 2025

[Paper]

Computational Thinking Reasoning in Large Language Models

Kechi Zhang, Ge Li, Jia Li (Female), Huangzhao Zhang, Jingjing Xu, Hao Zhu, Lecheng Wang, Jia Li, Yihong Dong, et al.

arXiv, 2025

[Paper]

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

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

arXiv, 2025

[Paper]

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

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

arXiv, 2025

[Paper]

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

Jia Li (Female), Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Jia Li, et al.

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), 2025

[Paper]

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

Jia Li (Female), Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Jia Li, et al.

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), 2025

[Paper]

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

Kechi Zhang, Ge Li, Jia Li, Yihong Dong, Jia Li (Female), Zhi Jin

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025 Findings), 2025

[Paper]

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

Kechi Zhang, Ge Li, Jia Li, Yihong Dong, Jia Li (Female), Zhi Jin

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025 Findings), 2025

[Paper]

Line-level Semantic Structure Learning for Code Vulnerability Detection

Ziliang Wang, Ge Li, Jia Li, Yihong Dong, Yingfei Xiong, Zhi Jin

The 16th International Conference on Internetware (Internetware 2025), 2025 Oral

[Paper]

Line-level Semantic Structure Learning for Code Vulnerability Detection

Ziliang Wang, Ge Li, Jia Li, Yihong Dong, Yingfei Xiong, Zhi Jin

The 16th International Conference on Internetware (Internetware 2025), 2025 Oral

[Paper]

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

Jia Li (Female), Xianjie Shi, Kechi Zhang, Lei Li, Ge Li, Zhengwei Tao, Jia Li, Fang Liu, et al.

arXiv, 2025

[Paper]

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

Jia Li (Female), Xianjie Shi, Kechi Zhang, Lei Li, Ge Li, Zhengwei Tao, Jia Li, Fang Liu, et al.

arXiv, 2025

[Paper]

FAN: Fourier Analysis Networks

Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, et al.

arXiv, 2025

[Paper] [Code]

FAN: Fourier Analysis Networks

Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, et al.

arXiv, 2025

[Paper] [Code]

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, et al. (* equal contribution)

arXiv, 2025

[Paper] [Code]

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, et al. (* equal contribution)

arXiv, 2025

[Paper] [Code]

Escalating LLM-based Code Translation Benchmarking into the Class-level Era

Pengyu Xue, Linhao Wu, Zhen Yang, Chengyi Wang, Xiang Li, Yuxiang Zhang, Jia Li, Some Other Name

The 34th International Symposium on Software Testing and Analysis (ISSTA 2025), 2025 Oral

[Paper]

Escalating LLM-based Code Translation Benchmarking into the Class-level Era

Pengyu Xue, Linhao Wu, Zhen Yang, Chengyi Wang, Xiang Li, Yuxiang Zhang, Jia Li, Some Other Name

The 34th International Symposium on Software Testing and Analysis (ISSTA 2025), 2025 Oral

[Paper]

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, et al.

arXiv, 2025

[Paper] [Code]

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, et al.

arXiv, 2025

[Paper] [Code]

Theoretical Proof that Generated Text in the Corpus Leads to the Collapse of Auto-regressive Language Models

Lecheng Wang, Xianjie Shi, Ge Li, Jia Li, Xuanming Zhang, Yihong Dong, et al.

arXiv, 2025

[Paper]

Theoretical Proof that Generated Text in the Corpus Leads to the Collapse of Auto-regressive Language Models

Lecheng Wang, Xianjie Shi, Ge Li, Jia Li, Xuanming Zhang, Yihong Dong, et al.

arXiv, 2025

[Paper]

Large Language Model-Aware In-Context Learning for Code Generation

Jia Li (Female), Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin

ACM Transactions on Software Engineering and Methodology (TOSEM), 2025

[Paper]

Large Language Model-Aware In-Context Learning for Code Generation

Jia Li (Female), Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin

ACM Transactions on Software Engineering and Methodology (TOSEM), 2025

[Paper]

2024

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

Siyuan Jiang*, Jia Li*, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Ge Li (* equal contribution)

The 47th International Conference on Software Engineering (ICSE 2025 SEIP Track), 2025 Oral

[Paper] [Code]

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

Siyuan Jiang*, Jia Li*, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Ge Li (* equal contribution)

The 47th International Conference on Software Engineering (ICSE 2025 SEIP Track), 2025 Oral

[Paper] [Code]

SCodeSearcher: Soft Contrastive Learning for Code Search

Jia Li (Female), Zheng Fang, Xianjie Shi, Zhi Jin, Fang Liu, Jia Li, Yunfei Zhao, Ge Li

Empirical Software Engineering (EMSE), Volume 30, Issue 3, 28 March 2025

[Paper]

SCodeSearcher: Soft Contrastive Learning for Code Search

Jia Li (Female), Zheng Fang, Xianjie Shi, Zhi Jin, Fang Liu, Jia Li, Yunfei Zhao, Ge Li

Empirical Software Engineering (EMSE), Volume 30, Issue 3, 28 March 2025

[Paper]

Generating Equivalent Representations of Code By A Self-Reflection Approach

Jia Li, Ge Li, Lecheng Wang, Hao Zhu, Zhi Jin

arXiv, 2024

[Paper]

Generating Equivalent Representations of Code By A Self-Reflection Approach

Jia Li, Ge Li, Lecheng Wang, Hao Zhu, Zhi Jin

arXiv, 2024

[Paper]

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations

Jia Li, Ge Li, Xuanming Zhang, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li

The 38th Conference on Neural Information Processing Systems (NeurIPS 2024 D&B Track), 2024

[Paper] [Data]

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations

Jia Li, Ge Li, Xuanming Zhang, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li

The 38th Conference on Neural Information Processing Systems (NeurIPS 2024 D&B Track), 2024

[Paper] [Data]

Deep Learning for Code Generation: A Survey

Huangzhao Zhang, Kechi Zhang, Zhuo Li, Jia Li (Female), Jia Li, Yongmin Li, et al.

Science China Information Sciences (SCIS), Volume 67, Number 191101, 20 August 2024

[Paper]

Deep Learning for Code Generation: A Survey

Huangzhao Zhang, Kechi Zhang, Zhuo Li, Jia Li (Female), Jia Li, Yongmin Li, et al.

Science China Information Sciences (SCIS), Volume 67, Number 191101, 20 August 2024

[Paper]

Structured Chain-of-Thought Prompting for Code Generation

Jia Li, Ge Li, Yongmin Li, Zhi Jin

ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 34, Issue 2, Pages 1-23, 21 January 2025

[Paper]

Structured Chain-of-Thought Prompting for Code Generation

Jia Li, Ge Li, Yongmin Li, Zhi Jin

ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 34, Issue 2, Pages 1-23, 21 January 2025

[Paper]

AceCoder: An Effective Prompting Technique Specialized in Code Generation

Jia Li, Ge Li, Yongmin Li, Zhi Jin

ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 33, Issue 8, Pages 1-26, 21 November 2024

[Paper]

AceCoder: An Effective Prompting Technique Specialized in Code Generation

Jia Li, Ge Li, Yongmin Li, Zhi Jin

ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 33, Issue 8, Pages 1-26, 21 November 2024

[Paper]

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories

Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, et al.

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), Pages 3603-3614, August 2024

[Paper] [Data]

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories

Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, et al.

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), Pages 3603-3614, August 2024

[Paper] [Data]

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, et al.

The ACM International Conference on the Foundations of Software Engineering (FSE 2024), Volume 1, Issue FSE, Pages 1585-1608, 12 July 2024 Oral

[Paper] [Code]

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, et al.

The ACM International Conference on the Foundations of Software Engineering (FSE 2024), Volume 1, Issue FSE, Pages 1585-1608, 12 July 2024 Oral

[Paper] [Code]

2023

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models

Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li (Female), Zhi Jin, Hong Mei

The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Pages 437-445, 20 February 2024

[Paper] [Code]

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models

Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li (Female), Zhi Jin, Hong Mei

The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Pages 437-445, 20 February 2024

[Paper] [Code]

ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation

Zejun Wang, Jia Li, Ge Li, Zhi Jin

arXiv, 2023

[Paper]

ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation

Zejun Wang, Jia Li, Ge Li, Zhi Jin

arXiv, 2023

[Paper]

Poison Attack and Poison Detection on Deep Source Code Processing Models

Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia

ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 33, Issue 3, Pages 1-31, 14 March 2024

[Paper]

Poison Attack and Poison Detection on Deep Source Code Processing Models

Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia

ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 33, Issue 3, Pages 1-31, 14 March 2024

[Paper]

ToolCoder: Teach Code Generation Models to Use API Search Tools

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

arXiv, 2023

[Paper]

ToolCoder: Teach Code Generation Models to Use API Search Tools

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

arXiv, 2023

[Paper]

ZC3: Zero-Shot Cross-Language Code Clone Detection

Jia Li (Female), Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li

The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), Pages 875-887, 26 September 2024

[Paper]

ZC3: Zero-Shot Cross-Language Code Clone Detection

Jia Li (Female), Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li

The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), Pages 875-887, 26 September 2024

[Paper]

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 Transactions on Software Engineering and Methodology (TOSEM), Volume 32, Issue 6, Pages 1-22, 30 September 2023

[Paper] [Code]

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 Transactions on Software Engineering and Methodology (TOSEM), Volume 32, Issue 6, Pages 1-22, 30 September 2023

[Paper] [Code]

MCodeSearcher: Multi-View Contrastive Learning for Code Search

Jia Li (Female), Fang Liu, Jia Li, Yunfei Zhao, Ge Li, Zhi Jin

The 14th International Conference on Internetware (Internetware 2023), Pages 270-280, 05 October 2023 Oral

[Paper]

MCodeSearcher: Multi-View Contrastive Learning for Code Search

Jia Li (Female), Fang Liu, Jia Li, Yunfei Zhao, Ge Li, Zhi Jin

The 14th International Conference on Internetware (Internetware 2023), Pages 270-280, 05 October 2023 Oral

[Paper]

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

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

The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Pages 769-787, July 2024

[Paper] [Code]

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

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

The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Pages 769-787, July 2024

[Paper] [Code]

2022

SkCoder: A Sketch-based Approach for Automatic Code Generation

Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu

The 45th International Conference on Software Engineering (ICSE 2023), Pages 2124-2135, 26 July 2023 Oral

[Paper] [Code]

SkCoder: A Sketch-based Approach for Automatic Code Generation

Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu

The 45th International Conference on Software Engineering (ICSE 2023), Pages 2124-2135, 26 July 2023 Oral

[Paper] [Code]

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively

Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin

The 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Pages 21442-21454, 28 November 2022

[Paper] [Code]

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively

Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin

The 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Pages 21442-21454, 28 November 2022

[Paper] [Code]

2021

EditSum: A Retrieve-and-Edit Framework for Source Code Summarization

Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin

The 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), Pages 155-166, 24 June 2022 Oral

[Paper]

EditSum: A Retrieve-and-Edit Framework for Source Code Summarization

Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin

The 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), Pages 155-166, 24 June 2022 Oral

[Paper]