4 citations · 12 across the 9 of their papers we have counts for
3 papers · 1 filter
What do larger image classifiers memorise?
Michal Lukasik, Vaishnavh Nagarajan, Ankit Singh Rawat +2
The success of modern neural networks has prompted study of the connection between memorisation and generalisation: overparameterised models generalise well, despite being able to…
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…
Think before you speak: Training Language Models With Pause Tokens
Sachin Goyal, Ziwei Ji, Ankit Singh Rawat +3
Language models generate responses by producing a series of tokens in immediate succession: the token is an outcome of manipulating hidden vectors per layer, one v…