148 citations · 148 across the 1 of their papers we have counts for
6 papers
Exploring Multi-Lingual Bias of Large Code Models in Code Generation
Chaozheng Wang, Zongjie Li, Cuiyun Gao +6
Code generation aims to synthesize code and fulfill functional requirements based on natural language (NL) specifications, which can greatly improve development efficiency. In the…
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes
Chaozheng Wang, Zongjie Li, Yun Peng +5
Software plays a crucial role in our daily lives, and therefore the quality and security of software systems have become increasingly important. However, vulnerabilities in softwar…
Generative Type Inference for Python
Yun Peng, Chaozheng Wang, Wenxuan Wang +2
Python is a popular dynamic programming language, evidenced by its ranking as the second most commonly used language on GitHub. However, its dynamic type system can lead to potenti…
Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models
Shuzheng Gao, Hongyu Zhang, Cuiyun Gao +1
Previous research on code intelligence usually trains a deep learning model on a fixed dataset in an offline manner. However, in real-world scenarios, new code repositories emerge…
Practitioners' Expectations on Code Completion
Chaozheng Wang, Junhao Hu, Cuiyun Gao +5
Code completion has become a common practice for programmers during their daily programming activities. It aims at automatically predicting the next tokens or lines that the progra…
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao +3
Pre-trained models have been shown effective in many code intelligence tasks. These models are pre-trained on large-scale unlabeled corpus and then fine-tuned in downstream tasks.…