---
title: "Myle Ott — papers of 2019 — 4 papers, the most cited first"
description: "Myle Ott — papers of 2019: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Myle Ott — papers of 2019 — 4 papers, the most cited first

4 papers · [all years of Myle Ott](https://md.research.elamur.ai/free/en/authors/myle-ott/#years)

- [RoBERTa: A Robustly Optimized BERT Pretraining Approach arXiv:1907.11692](https://md.research.elamur.ai/free/en/papers/liu-2019-roberta-robustly-optimized-bert-pretraining/) — Yinhan Liu, Myle Ott, Naman Goyal, et al. · 2019 · 9,837 citations

**[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*

**[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*

**[The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English](https://md.research.elamur.ai/free/en/papers/guzman-2019-flores-evaluation-datasets-low-resource/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Francisco Guzmán, Peng-Jen Chen, Myle Ott, et al.*2019 · 365 citations*
