6 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.SE2024
E-code: Mastering Efficient Code Generation through Pretrained Models and Expert Encoder Group
Yue Pan, Chen Lyu, Zhenyu Yang +3
Context: With the waning of Moore's Law, the software industry is placing increasing importance on finding alternative solutions for continuous performance enhancement. The signifi…
cs.SE2024★ 2 cited
Knowledge-Aware Code Generation with Large Language Models
Tao Huang, Zhihong Sun, Zhi Jin +2
Large Language Models (LLMs) perform well on basic programming problems. However, they encounter challenges when dealing with complex tasks involving the use of diverse algorithmic…
cs.AI2023★ 6 cited
TACO: Topics in Algorithmic COde generation dataset
Rongao Li, Jie Fu, Bo-Wen Zhang +6
We introduce TACO, an open-source, large-scale code generation dataset, with a focus on the optics of algorithms, designed to provide a more challenging training dataset and evalua…