52 citations · 56 across the 5 of their papers we have counts for
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cs.SE2023★ 52 cited
On the Effectiveness of Large Language Models in Domain-Specific Code Generation
Xiaodong Gu, Meng Chen, Yalan Lin +6
Large language models (LLMs) such as ChatGPT have shown remarkable capabilities in code generation. Despite significant achievements, they rely on enormous training data to acquire…
cs.SE2023★ 1 cited
EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery
Chenyuan Zhang, Yanlin Wang, Zhao Wei +4
Issue-commit links, as a type of software traceability links, play a vital role in various software development and maintenance tasks. However, they are typically deficient, as dev…
cs.SE2023
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring
Hao Liu, Yanlin Wang, Zhao Wei +4
Refactoring is an indispensable practice of improving the quality and maintainability of source code in software evolution. Rename refactoring is the most frequently performed refa…