---
title: "Michael Auli — papers of 2019 — 6 papers, the most cited first"
description: "Michael Auli — papers of 2019: 6 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/michael-auli/year/2019/"
---
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# Michael Auli — papers of 2019 — 6 papers, the most cited first

6 papers · [all years of Michael Auli](https://md.research.elamur.ai/free/en/authors/michael-auli/#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*

**[Facebook FAIR's WMT19 News Translation Task Submission](https://md.research.elamur.ai/free/en/papers/ng-2019-facebook-fair-s-wmt19-news/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Nathan Ng, Kyra Yee, Alexei Baevski, et al.*2019 · 546 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
- [Cloze-driven Pretraining of Self-attention Networks arXiv:1903.07785](https://md.research.elamur.ai/free/en/papers/baevski-2019-cloze-driven-pretraining-self-attention/) — Alexei Baevski, Sergey Edunov, Yinhan Liu, et al. · 2019 · 286 citations

**[Simple and Effective Noisy Channel Modeling for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/yee-2019-simple-effective-noisy-channel-modeling/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kyra Yee, Yann Dauphin, Michael Auli*2019 · 104 citations*