Grangier, David

Convolutional Sequence to Sequence Learning

Gehring, J., Auli, M., Grangier, D., Yarats, D., & Dauphin, Y. N. (2017) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 2,850

Efficient Content-Based Sparse Attention with Routing Transformers

Roy, A., Saffar, M., Vaswani, A., & Grangier, D. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 509

Audiolm: A language modeling approach to audio generation

Borsos, Z., Marinier, R., Vincent, D., Kharitonov, E., Pietquin, O., Sharifi, M., Roblek, D., Teboul, O., Grangier, D., Tagliasacchi, M., et al. (2023) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 432

ELI5: Long Form Question Answering

Fan, A., Jernite, Y., Perez, E., Grangier, D., Weston, J., & Auli, M. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 325

ELI5: long form question answering

Fan, A., Jernite, Y., Perez, E., Grangier, D., Weston, J., & Auli, M. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 319

Controllable Abstractive Summarization

Fan, A., Grangier, D., & Auli, M. (2018) · Proceedings of the 2nd Workshop on Neural Machine Translation and Generation

Topic ModelingAdvanced Text Analysis Techniques

Cited by 281

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

Freitag, M., Foster, G., Grangier, D., Ratnakar, V., Tan, Q., & Macherey, W. (2021) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTranslation Studies and Practices

Cited by 271

Analyzing Uncertainty in Neural Machine Translation

Ott, M., Auli, M., Grangier, D., & Ranzato, M. (2018) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 140

QuickEdit: Editing Text and Translations by Crossing Words Out

Grangier, D., & Auli, M. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 20

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems

Simard, P., Chickering, D., Lakshmiratan, A., Charles, D., Bottou, L., Suarez, C. G. J., Grangier, D., Amershi, S., Verwey, J., & Suh, J. (2014) · arXiv

Machine Learning and AlgorithmsRecommender Systems and Techniques

Cited by 15

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Maini, P., Seto, S., Bai, H., Grangier, D., Zhang, Y., & Jaitly, N. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1