148 citations · 148 across the 3 of their papers we have counts for
3 papers
cs.SE2024
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context
Yichen Li, Yun Peng, Yintong Huo +1
Large Language Models (LLMs) have achieved remarkable success in code completion, as evidenced by their essential roles in developing code assistant services such as Copilot. Being…
cs.SE2023
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…
cs.SE2022★ 148 cited
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.…