1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2019★ 1 cited
Emergent Properties of Finetuned Language Representation Models
Alexandre Matton, Luke de Oliveira
Large, self-supervised transformer-based language representation models have recently received significant amounts of attention, and have produced state-of-the-art results across a…
cs.CL2019
Repurposing Decoder-Transformer Language Models for Abstractive Summarization
Luke de Oliveira, Alfredo Láinez Rodrigo
Neural network models have shown excellent fluency and performance when applied to abstractive summarization. Many approaches to neural abstractive summarization involve the introd…
hep-ex2018
Electromagnetic Showers Beyond Shower Shapes
Luke de Oliveira, Benjamin Nachman, Michela Paganini
Correctly identifying the nature and properties of outgoing particles from high energy collisions at the Large Hadron Collider is a crucial task for all aspects of data analysis. C…