Baptiste Rozière
Artificial Intelligence · 2020–2024
A researcher in the Science corpus: 9 papers; trusts 247 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 376 citations into it; #12,049 of 35,345 by trust here, #1,076 by citations
- Natural Language Processing — 246 citations into it; #2,428 of 5,688 by trust here, #1,721 by citations
- Large Language Models — 140 citations into it
- Information Systems — 120 citations into it; #1,624 of 8,771 by trust here, #1,118 by citations
- Computer Vision and Pattern Recognition — 119 citations into it
- Software — 67 citations into it; #850 of 1,227 by trust here, #77 by citations
- Evaluation & Benchmarks — 60 citations into it
- Code Generation & Program Synthesis — 39 citations into it; #73 of 220 by trust here, #35 by citations
Whom Baptiste Rozière trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Miltiadis Allamanis
- Ilya Sutskever
- Guillaume Lample
- Alex Krizhevsky
- Dzmitry Bahdanau
- Jimmy Ba
- Yann LeCun
Who trusts Baptiste Rozière overall
- Marc Szafraniec
- Yichen Xu
- Chun Xia
- Shun Zhang
- Yue Wang
- Yanqiao Zhu
- Tomasz Korbak
- Yinlin Deng
- Naman Jain
- Mo Bavarian
Papers from Baptiste Rozière's perspective
Ordered by how strongly the researchers Baptiste Rozière trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- LLaMA: Open and Efficient Foundation Language Models (2023) — 20,887 citations
- Unsupervised Translation of Programming Languages (2020) — 573 citations
- DOBF: A Deobfuscation Pre-Training Objective for Programming Languages (2021) — 173 citations
- Code Llama: Open Foundation Models for Code (2023) — 3,394 citations
- Augmented Language Models: a Survey (2023) — 579 citations
- CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution (2024) — 322 citations
- Better & Faster Large Language Models via Multi-token Prediction (2024) — 338 citations
- Code Translation with Compiler Representations (2022) — 95 citations
- Leveraging Automated Unit Tests for Unsupervised Code Translation (2021) — 168 citations