Guilherme Penedo
Artificial Intelligence · 2023–2025
A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 89 citations into it
- Natural Language Processing — 52 citations into it
- Evaluation & Benchmarks — 28 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Information Systems — 9 citations into it
- Information Retrieval & Search — 6 citations into it
Whom Guilherme Penedo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Andrei Z. Broder
- Yoshua Bengio
- Adrien Barbaresi
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Tomas Mikolov
- Alec Radford
- Kaiming He
Who trusts Guilherme Penedo overall
- Jiwoo Hong
- Mengzhou Xia
- Sebastian Farquhar
- Keiran Paster
- Luke Merrick
- Ji Lin
- Andreas Blattmann
- Yuan-Fang Li
- Shervin Minaee
- Federico Bianchi
Papers from Guilherme Penedo's perspective
Ordered by how strongly the researchers Guilherme Penedo trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only (2023) — 967 citations
- The Falcon Series of Open Language Models (2023) — 738 citations
- SmolLM2: When Smol Goes Big - Data-Centric Training of a Small Language Model (2025) — 299 citations
- The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale (2024) — 1,023 citations