5 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 4 cited
DistillSpec: Improving Speculative Decoding via Knowledge Distillation
Yongchao Zhou, Kaifeng Lyu, Ankit Singh Rawat +5
Speculative decoding (SD) accelerates large language model inference by employing a faster draft model for generating multiple tokens, which are then verified in parallel by the la…
cs.LG2019★ 5 cited
The Practical Challenges of Active Learning: Lessons Learned from Live Experimentation
Jean-François Kagy, Tolga Kayadelen, Ji Ma +2
We tested in a live setting the use of active learning for selecting text sentences for human annotations used in training a Thai segmentation machine learning model. In our study,…