22 citations · 29 across the 5 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2020★ 7 cited
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings
Luke Melas-Kyriazi, George Han, Celine Liang
Over the past year, the emergence of transfer learning with large-scale language models (LM) has led to dramatic performance improvements across a broad range of natural language u…
cs.CL2019★ 22 cited
Encoder-Agnostic Adaptation for Conditional Language Generation
Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann +1
Large pretrained language models have changed the way researchers approach discriminative natural language understanding tasks, leading to the dominance of approaches that adapt a…