Intent Contrastive Learning for Sequential Recommendation

Yongjun Chen, Zhiwei Liu, Jia Li, +2

Proceedings of the ACM Web Conference 2022

Structured Chain-of-Thought Prompting for Code Generation

Jia Li, Ge Li, Yongmin Li, +1

ACM Transactions on Software Engineering and Methodology

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

Zhen Yang, Fang Liu, Zhongxing Yu, +7

Proceedings of the ACM on software engineering.

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

Jia Li, Yongmin Li, Ge Li, +3

2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)

EngineeringSource Code SummarizationEntity SummarizationCode SummarizationSoftware Engineering +20

SantaCoder: don't reach for the stars!

Loubna Ben Allal, Raymond Li, Denis Kocetkov, +38

arXiv (Cornell University)

EngineeringBigcode ProjectOpenrail LicenseSoftware EngineeringLarge Language Model +15

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

Kechi Zhang, Zhuo Li, Jia Li, +2

Software MaintenanceLlm Fine-tuningEngineeringSoftware EngineeringSource Code Analysis +18

How to Get Them a Dream Job?

Jia Li, Dhruv Arya, Viet Ha−Thuc, +1

EngineeringEducationSemantic WebDream JobText Mining +19

<scp>CodeEditor</scp> : Learning to Edit Source Code with Pre-trained Models

Jia Li, Ge Li, Zhuo Li, +4

ACM Transactions on Software Engineering and Methodology

Artificial IntelligenceLlm Fine-tuningEngineeringMachine LearningSoftware Engineering +17

Poison Attack and Poison Detection on Deep Source Code Processing Models

Jia Li, Zhuo Li, Huangzhao Zhang, +4

ACM Transactions on Software Engineering and Methodology

Poison AttackEngineeringMachine LearningInformation SecurityInformation Forensics +17

<scp>AceCoder</scp> : An Effective Prompting Technique Specialized in Code Generation

Jia Li, Yunfei Zhao, Yongmin Li, +2

ACM Transactions on Software Engineering and Methodology