---
title: "Angela Fan — papers of 2019 — 4 papers, the most cited first"
description: "Angela Fan — papers of 2019: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/angela-fan/year/2019/"
---
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# Angela Fan — papers of 2019 — 4 papers, the most cited first

4 papers · [all years of Angela Fan](https://md.research.elamur.ai/free/en/authors/angela-fan/#years)

**[fairseq: A Fast, Extensible Toolkit for Sequence Modeling](https://md.research.elamur.ai/free/en/papers/ott-2019-fairseq-fast-extensible-toolkit-sequence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Myle Ott, Sergey Edunov, Alexei Baevski, et al.*2019 · 3,984 citations*

**[ELI5: Long Form Question Answering](https://md.research.elamur.ai/free/en/papers/fan-2019-eli5-long-form-question-answering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Angela Fan, Yacine Jernite, Ethan Perez, et al.*2019 · 695 citations*

- [Reducing Transformer Depth on Demand with Structured Dropout arXiv:1909.11556](https://md.research.elamur.ai/free/en/papers/fan-2019-reducing-transformer-depth-demand-structured/) — Angela Fan, Edouard Grave, Armand Joulin · 2019 · 560 citations
- [Pay Less Attention with Lightweight and Dynamic Convolutions arXiv:1901.10430](https://md.research.elamur.ai/free/en/papers/wu-2019-pay-less-attention-lightweight-dynamic/) — Felix Wu, Angela Fan, Alexei Baevski, et al. · 2019 · 437 citations