3.5k citations · 7.7k across the 28 of their papers we have counts for
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cs.CL2021
Language Models are Few-shot Multilingual Learners
Genta Indra Winata, Andrea Madotto, Zhaojiang Lin +3
General-purpose language models have demonstrated impressive capabilities, performing on par with state-of-the-art approaches on a range of downstream natural language processing (…
cs.LG2021★ 2 cited
When does loss-based prioritization fail?
Niel Teng Hu, Xinyu Hu, Rosanne Liu +2
Not all examples are created equal, but standard deep neural network training protocols treat each training point uniformly. Each example is propagated forward and backward through…