Benoît Sagot
Artificial Intelligence · 2006–2022
A researcher in the Science corpus: 15 papers; trusts 304 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 473 citations into it; #7,813 of 35,345 by trust here, #3,978 by citations
- Natural Language Processing — 355 citations into it; #2,391 of 5,688 by trust here, #1,407 by citations
- Large Language Models — 118 citations into it; #262 of 799 by trust here, #247 by citations
- Computer Vision and Pattern Recognition — 115 citations into it; #9,032 of 21,575 by trust here, #5,890 by citations
- Evaluation & Benchmarks — 95 citations into it; #1,721 of 3,147 by trust here, #1,603 by citations
- Representation & Self-Supervised Learning — 89 citations into it; #2,514 of 3,145 by trust here, #2,404 by citations
- Speech & Audio — 41 citations into it
- Model Architectures — 37 citations into it
Whom Benoît Sagot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Geoffrey E. Hinton
- Armand Joulin
- Yoshua Bengio
- Edouard Grave
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Jacob Devlin
- Alec Radford
Who trusts Benoît Sagot overall
- Ronan Le Nagard
- Koustuv Sinha
- Hugo Laurenccon
- Isaac Caswell
- Guilherme Penedo
- Alexandra Sasha Luccioni
- Julien Abadji
- Yada Pruksachatkun
- Teven Le Scao
- Gabriel Ilharco
Papers from Benoît Sagot's perspective
Ordered by how strongly the researchers Benoît Sagot trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- What Does BERT Learn about the Structure of Language? (2019) — 1,594 citations
- CamemBERT: a Tasty French Language Model (2019) — 1,110 citations
- A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages (2020) — 281 citations
- Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP (2021) — 222 citations
- Ungoliant: An Optimized Pipeline for the Generation of a Very Large-Scale Multilingual Web Corpus (2021) — 69 citations
- Towards a Cleaner Document-Oriented Multilingual Crawled Corpus (2022) — 206 citations
- ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations (2020) — 192 citations
- Generative Spoken Dialogue Language Modeling (2022) — 155 citations
- Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering (2020) — 62 citations
- The Lefff 2 syntactic lexicon for French: architecture, acquisition, use (2006) — 119 citations
- Are Discrete Units Necessary for Spoken Language Modeling? (2022) — 35 citations
- MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases (2022) — 124 citations
- SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations (2022) — 49 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
- Asynchronous Pipeline for Processing Huge Corpora on Medium to Low Resource Infrastructures (2019) — 493 citations