---
title: "David Grangier — papers of 2016 — 3 papers, the most cited first"
description: "David Grangier — papers of 2016: 3 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/david-grangier/year/2016/"
---
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# David Grangier — papers of 2016 — 3 papers, the most cited first

3 papers · [all years of David Grangier](https://md.research.elamur.ai/free/en/authors/david-grangier/#years)

- [Language Modeling with Gated Convolutional Networks arXiv:1612.08083](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 · 1,346 citations

**[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Remi Lebret, David Grangier, Michael Auli*2016 · 701 citations*

- [Efficient softmax approximation for GPUs arXiv:1609.04309](https://md.research.elamur.ai/free/en/papers/grave-2016-efficient-softmax-approximation-gpus/) — Edouard Grave, Armand Joulin, Moustapha Cisse, et al. · 2016 · 205 citations