David Ifeoluwa Adelani

Artificial Intelligence · 2019–2026

A researcher in the Science corpus: 7 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 252 citations into it
• Natural Language Processing — 156 citations into it
• Large Language Models — 101 citations into it

Whom David Ifeoluwa Adelani trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alec Radford
2. Yoshua Bengio
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Yann LeCun
7. Tomas Mikolov
8. Jacob Devlin
9. Alex Krizhevsky
10. Jimmy Ba

Who trusts David Ifeoluwa Adelani overall

1. Ganesh Jawahar
2. Daphne Ippolito
3. Muhammad Abdul-Mageed

Papers from David Ifeoluwa Adelani's perspective

Ordered by how strongly the researchers David Ifeoluwa Adelani trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset (2023) — 217 citations
• AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages (2026)
• Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation (2024) — 178 citations
• BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting (2022) — 114 citations
• BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
• Investigating the Impact of Pre-trained Word Embeddings on Memorization in Neural Networks (2020) — 39 citations
• Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection (2019) — 148 citations