---
title: "Edouard Grave — all works — Elamur Research"
description: "All 26 works of Edouard Grave in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/edouard-grave/works/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/edouard-grave/works/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Edouard Grave](https://md.research.elamur.ai/free/en/authors/edouard-grave/) / all works

# Edouard Grave — all works

26 works · [← Edouard Grave](https://md.research.elamur.ai/free/en/authors/edouard-grave/)

1. **[Enriching Word Vectors with Subword Information](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Piotr Bojanowski, Edouard Grave, Armand Joulin, et al.*2017 · 11,873 citations*
2. **[Unsupervised Cross-lingual Representation Learning at Scale](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alexis Conneau, Kartikay Khandelwal, Naman Goyal, et al.*2020 · 9,468 citations*
3. **[Bag of Tricks for Efficient Text Classification ↗](https://aclanthology.org/E17-2068/) Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers · no summary yet**Armand Joulin et al.*2017 · 5,325 citations*
4. **[Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering](https://md.research.elamur.ai/free/en/papers/izacard-2021-leveraging-passage-retrieval-generative-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Gautier Izacard, Edouard Grave*2021 · 1,692 citations*
5. [**FastText.zip: Compressing text classification models arXiv:1612.03651**Armand Joulin, Edouard Grave, Piotr Bojanowski, et al.*2016 · 1,219 citations*](https://md.research.elamur.ai/free/en/papers/joulin-2016-fasttext-zip-compressing-text-classification/)
6. [**Unsupervised Dense Information Retrieval with Contrastive Learning arXiv:2112.09118**Gautier Izacard, Mathilde Caron, Lucas Hosseini, et al.*2021 · 836 citations*](https://md.research.elamur.ai/free/en/papers/izacard-2021-unsupervised-dense-information-retrieval-contrastive/)
7. **[Colorless Green Recurrent Networks Dream Hierarchically](https://md.research.elamur.ai/free/en/papers/gulordava-2018-colorless-green-recurrent-networks-dream/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kristina Gulordava, Piotr Bojanowski, Edouard Grave, et al.*2018 · 765 citations*
8. [**Atlas: Few-shot Learning with Retrieval Augmented Language Models arXiv:2208.03299**Gautier Izacard, Patrick Lewis, Maria Lomeli, et al.*2022 · 673 citations*](https://md.research.elamur.ai/free/en/papers/izacard-2022-atlas-few-shot-learning-retrieval/)
9. **[CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data](https://md.research.elamur.ai/free/en/papers/wenzek-2020-ccnet-extracting-high-quality-monolingual/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, et al.*2020 · 666 citations*
10. **[Learning Word Vectors for 157 Languages](https://md.research.elamur.ai/free/en/papers/grave-2018-learning-word-vectors-157-languages/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Edouard Grave, Piotr Bojanowski, Prakhar Gupta, et al.*2018 · 646 citations*
11. **[Advances in Pre-Training Distributed Word Representations](https://md.research.elamur.ai/free/en/papers/mikolov-2017-advances-pre-training-distributed-word/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tomas Mikolov, Edouard Grave, Piotr Bojanowski, et al.*2017 · 628 citations*
12. [**Reducing Transformer Depth on Demand with Structured Dropout arXiv:1909.11556**Angela Fan, Edouard Grave, Armand Joulin*2019 · 560 citations*](https://md.research.elamur.ai/free/en/papers/fan-2019-reducing-transformer-depth-demand-structured/)
13. **[Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion](https://md.research.elamur.ai/free/en/papers/joulin-2018-loss-translation-learning-bilingual-word/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Armand Joulin, Piotr Bojanowski, Tomas Mikolov, et al.*2018 · 479 citations*
14. [**Augmented Language Models: a Survey arXiv:2302.07842**Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.*2023 · 369 citations*](https://md.research.elamur.ai/free/en/papers/mialon-2023-augmented-language-models-survey/)
15. **[Adaptive Attention Span in Transformers](https://md.research.elamur.ai/free/en/papers/sukhbaatar-2019-adaptive-attention-span-transformers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, et al.*2019 · 367 citations*
16. [**CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB arXiv:1911.04944**Holger Schwenk, Guillaume Wenzek, Sergey Edunov, et al.*2019 · 358 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2019-ccmatrix-mining-billions-high-quality/)
17. [**Efficient softmax approximation for GPUs arXiv:1609.04309**Edouard Grave, Armand Joulin, Moustapha Cisse, et al.*2016 · 205 citations*](https://md.research.elamur.ai/free/en/papers/grave-2016-efficient-softmax-approximation-gpus/)
18. [**Improving Neural Language Models with a Continuous Cache arXiv:1612.04426**Edouard Grave, Armand Joulin, Nicolas Usunier*2016 · 179 citations*](https://md.research.elamur.ai/free/en/papers/grave-2016-improving-neural-language-models-continuous/)
19. **[Self-training Improves Pre-training for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/du-2021-self-training-improves-pre-training/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jingfei Du, Edouard Grave, Beliz Gunel, et al.*2021 · 172 citations*
20. [**Moshi: a speech-text foundation model for real-time dialogue arXiv:2410.00037**Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.*2024 · 157 citations*](https://md.research.elamur.ai/free/en/papers/defossez-2024-moshi-speech-text-foundation-model/)
21. **[Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling ↗](https://aclanthology.org/P19-1439/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Alex Wang et al.*2019 · 154 citations*
22. [**PEER: A Collaborative Language Model arXiv:2208.11663**Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, et al.*2022 · 126 citations*](https://md.research.elamur.ai/free/en/papers/schick-2022-peer-collaborative-language-model/)
23. **[NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned ↗](https://arxiv.org/abs/2101.00133) arXiv (Cornell University) · no summary yet**Sewon Min et al.*2021 · 108 citations*
24. **[Augmenting Self-attention with Persistent Memory ↗](https://arxiv.org/abs/1907.01470) arXiv (Cornell University) · no summary yet**Sainbayar Sukhbaatar et al.*2019 · 84 citations*
25. **[Misspelling Oblivious Word Embeddings ↗](https://aclanthology.org/N19-1326/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Aleksandra Piktus et al.*2019 · 82 citations*
26. **[Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. ↗](https://openalex.org/W2907630459) no summary yet**Samuel R. Bowman et al.*2018 · 34 citations*