Leandro Von Werra
Artificial Intelligence · 2022–2025
A researcher in the Science corpus: 10 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 356 citations into it
- Natural Language Processing — 195 citations into it
- Information Systems — 119 citations into it
- Signal Processing — 25 citations into it
- Information Retrieval & Search — 14 citations into it
Whom Leandro Von Werra trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrei Z. Broder (in Information Retrieval & Search)
- Quoc V. Le (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
- Ilya Sutskever (in Artificial Intelligence)
- Adrien Barbaresi (in Artificial Intelligence)
- Geoffrey E. Hinton (in Artificial Intelligence)
- Tomas Mikolov (in Artificial Intelligence)
- Christopher D. Manning (in Artificial Intelligence)
Papers from Leandro Von Werra's perspective
Ordered by how strongly the researchers Leandro Von Werra 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Long Short-Term Memory
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
- Zephyr: Direct Distillation of LM Alignment (2023) — 618 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
- BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions (2024) — 597 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations