126 citations · 492 across the 43 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.SE2023★ 3 cited
Adaptive Intellect Unleashed: The Feasibility of Knowledge Transfer in Large Language Models
Qing Huang, Yishun Wu, Zhenchang Xing +3
We conduct the first empirical study on using knowledge transfer to improve the generalization ability of large language models (LLMs) in software engineering tasks, which often re…
cs.SE2023★ 15 cited
Isolating Compiler Bugs by Generating Effective Witness Programs with Large Language Models
Haoxin Tu, Zhide Zhou, He Jiang +3
Compiler bugs pose a significant threat to safety-critical applications, and promptly as well as effectively isolating these bugs is crucial for assuring the quality of compilers.…