16 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.DC2026
AscendCraft: Automatic Ascend NPU Kernel Generation via DSL-Guided Transcompilation
Zhongzhen Wen, Shudi Shao, Zhong Li +4
The performance of deep learning models critically depends on efficient kernel implementations, yet developing high-performance kernels for specialized accelerators remains time-co…
cs.SE2023★ 1 cited
Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases
Ze Tang, Jidong Ge, Shangqing Liu +4
Large Language Models (LLMs) have demonstrated remarkable performance in code completion. However, due to the lack of domain-specific knowledge, they may not be optimal in completi…
cs.SE2019★ 16 cited
RESTORE: Retrospective Fault Localization Enhancing Automated Program Repair
Tongtong Xu, Liushan Chen, Yu Pei +3
Fault localization is a crucial step of automated program repair, because accurately identifying program locations that are most closely implicated with a fault greatly affects the…