---
title: "David Grangier — papers"
description: "David Grangier: 16 papers in the Elamur Research library (2016–2022) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/david-grangier/"
---
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# David Grangier

16 papers on this site (2016–2022)

[OpenAlex](https://openalex.org/A5065912572) · [ORCID](https://orcid.org/0000-0002-8847-9532) · h-index 37 · 131 works · 15280 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [AudioLM: a Language Modeling Approach to Audio Generation](https://md.research.elamur.ai/free/en/papers/borsos-2022-audiolm-language-modeling-approach-audio/) — Zalan Borsos, Raphael Marinier, Damien Vincent, et al. · 2022
- [High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics](https://md.research.elamur.ai/free/en/papers/freitag-2022-high-quality-rather-than-high/) — Markus Freitag, David Grangier, Qijun Tan, et al. · 2022
- [Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/) — Markus Freitag, George Foster, David Grangier, et al. · 2021
- [BLEU might be Guilty but References are not Innocent](https://md.research.elamur.ai/free/en/papers/freitag-2020-bleu-might-be-guilty-but/) — Markus Freitag, David Grangier, Isaac Caswell · 2020
- [Efficient Content-Based Sparse Attention with Routing Transformers](https://md.research.elamur.ai/free/en/papers/roy-2020-efficient-content-based-sparse-attention/) — Aurko Roy, Mohammad Saffar, Ashish Vaswani, et al. · 2020
- [ELI5: Long Form Question Answering](https://md.research.elamur.ai/free/en/papers/fan-2019-eli5-long-form-question-answering/) — Angela Fan, Yacine Jernite, Ethan Perez, et al. · 2019
- [fairseq: A Fast, Extensible Toolkit for Sequence Modeling](https://md.research.elamur.ai/free/en/papers/ott-2019-fairseq-fast-extensible-toolkit-sequence/) — Myle Ott, Sergey Edunov, Alexei Baevski, et al. · 2019
- [Tagged Back-Translation](https://md.research.elamur.ai/free/en/papers/caswell-2019-tagged-back-translation/) — Isaac Caswell, Ciprian Chelba, David Grangier · 2019
- [Analyzing Uncertainty in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/ott-2018-analyzing-uncertainty-neural-machine-translation/) — Myle Ott, Michael Auli, David Grangier, et al. · 2018
- [Classical Structured Prediction Losses for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/) — Sergey Edunov, Myle Ott, Michael Auli, et al. · 2018
- [Controllable Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/fan-2018-controllable-abstractive-summarization/) — Angela Fan, David Grangier, Michael Auli · 2018
- [Scaling Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/ott-2018-scaling-neural-machine-translation/) — Myle Ott, Sergey Edunov, David Grangier, et al. · 2018
- [A Convolutional Encoder Model for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gehring-2017-convolutional-encoder-model-neural-machine/) — Jonas Gehring, Michael Auli, David Grangier, et al. · 2017
- [Convolutional Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/gehring-2017-convolutional-sequence-sequence-learning/) — Jonas Gehring, Michael Auli, David Grangier, et al. · 2017
- [Language Modeling with Gated Convolutional Networks](https://md.research.elamur.ai/free/en/papers/dauphin-2016-language-modeling-gated-convolutional-networks/) — Yann N. Dauphin, Angela Fan, Michael Auli, et al. · 2016
- [Neural Text Generation from Structured Data with Application to the Biography Domain](https://md.research.elamur.ai/free/en/papers/lebret-2016-neural-text-generation-structured-data/) — Remi Lebret, David Grangier, Michael Auli · 2016
