18 citations · 25 across the 19 of their papers we have counts for
4 papers · 1 filter
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…
Tree-based Ensemble Learning for Out-of-distribution Detection
Zhaiming Shen, Menglun Wang, Guang Cheng +5
Being able to successfully determine whether the testing samples has similar distribution as the training samples is a fundamental question to address before we can safely deploy m…
Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native
Yao Lu, Song Bian, Lequn Chen +19
In this paper, we investigate the intersection of large generative AI models and cloud-native computing architectures. Recent large models such as ChatGPT, while revolutionary in t…
LMaaS: Exploring Pricing Strategy of Large Model as a Service for Communication
Panlong Wu, Qi Liu, Yanjie Dong +1
The next generation of communication is envisioned to be intelligent communication, that can replace traditional symbolic communication, where highly condensed semantic information…