Jane Dwivedi-Yu
Artificial Intelligence · 2022–2023
A researcher in the Science corpus: 6 papers; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 346 citations into it
- Natural Language Processing — 211 citations into it
- Computer Vision and Pattern Recognition — 121 citations into it
- Large Language Models — 110 citations into it
- Prompting & Reasoning — 76 citations into it
- Evaluation & Benchmarks — 67 citations into it
- Information Retrieval & Search — 54 citations into it
Whom Jane Dwivedi-Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Timo Schick
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Alec Radford
- Alex Graves
Who trusts Jane Dwivedi-Yu overall
Papers from Jane Dwivedi-Yu's perspective
Ordered by how strongly the researchers Jane Dwivedi-Yu 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)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- 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)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Toolformer: Language Models Can Teach Themselves to Use Tools (2023) — 4,753 citations
- PEER: A Collaborative Language Model (2022) — 106 citations
- Augmented Language Models: a Survey (2023) — 579 citations
- Active Retrieval Augmented Generation (2023) — 758 citations
- Improving Wikipedia verifiability with AI (2022) — 23 citations
- Shepherd: A Critic for Language Model Generation (2023) — 115 citations