Loubna Ben Allal
Artificial Intelligence · 2022–2025
A researcher in the Science corpus: 8 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 303 citations into it
- Natural Language Processing — 188 citations into it
- Information Systems — 92 citations into it
- Signal Processing — 23 citations into it
- Information Retrieval & Search — 12 citations into it
Whom Loubna Ben Allal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrei Z. Broder
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Noam Shazeer
- Ilya Sutskever
- Alex Krizhevsky
- Tomas Mikolov
- Kaiming He
- Yann LeCun
Who trusts Loubna Ben Allal overall
Papers from Loubna Ben Allal's perspective
Ordered by how strongly the researchers Loubna Ben Allal 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)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- The Stack: 3 TB of permissively licensed source code (2022) — 482 citations
- SantaCoder: don't reach for the stars! (2023) — 247 citations
- StarCoder: may the source be with you! (2023) — 1,263 citations
- The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset (2023) — 217 citations
- SmolLM2: When Smol Goes Big - Data-Centric Training of a Small Language Model (2025) — 299 citations
- StarCoder 2 and The Stack v2: The Next Generation (2024) — 698 citations
- The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale (2024) — 1,023 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations