Salomey Osei
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 6 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 342 citations into it
- Natural Language Processing — 287 citations into it
- Evaluation & Benchmarks — 160 citations into it
- Safety Research — 23 citations into it
Whom Salomey Osei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Salomey Osei's perspective
Ordered by how strongly the researchers Salomey Osei trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Language Models are Unsupervised Multitask Learners
- ImageNet classification with deep convolutional neural networks
- Improving Language Understanding by Generative Pre-Training
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Generating Sequences With Recurrent Neural Networks
Their papers
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021) — 329 citations
- Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets (2021) — 356 citations
- GEMv2: Multilingual NLG Benchmarking in a Single Line of Code (2022) — 43 citations
- Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages (2020) — 322 citations
- Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards (2021) — 58 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations