5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Task Oriented In-Domain Data Augmentation
Xiao Liang, Xinyu Hu, Simiao Zuo +5
Large Language Models (LLMs) have shown superior performance in various applications and fields. To achieve better performance on specialized domains such as law and advertisement,…
stat.AP2018★ 5 cited
SQR: Balancing Speed, Quality and Risk in Online Experiments
Ya Xu, Weitao Duan, Shaochen Huang
Controlled experimentation, also called A/B testing, is widely adopted to accelerate product innovations in the online world. However, how fast we innovate can be limited by how we…