Long Ouyang
Artificial Intelligence · 2020–2024
A researcher in the Science corpus: 5 papers; trusts 42 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 184 citations into it; #30,477 of 35,345 by trust here, #957 by citations
- Natural Language Processing — 128 citations into it; #3,322 of 5,688 by trust here, #904 by citations
- Large Language Models — 46 citations into it
- Computer Vision and Pattern Recognition — 42 citations into it
- Reinforcement Learning — 37 citations into it
- Alignment & RLHF — 20 citations into it; #21 of 62 by trust here, #7 by citations
- Management Science and Operations Research — 10 citations into it
- Information Retrieval & Search — 7 citations into it
Whom Long Ouyang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alec Radford
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Alex Graves
- Jimmy Ba
Who trusts Long Ouyang overall
- J'er'emy Scheurer
- Angelica Chen
- Hanze Dong
- Wei Xiong
- Ganqu Cui
- Wenhu Chen
- Jason Wei
- Swaroop Mishra
- Percy Liang
- Richard Ngo
Papers from Long Ouyang's perspective
Ordered by how strongly the researchers Long Ouyang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Training language models to follow instructions with human feedback (2022) — 22,660 citations
- Recursively Summarizing Books with Human Feedback (2021) — 371 citations
- GPT-4o System Card (2024) — 4,622 citations
- GPT-4 Technical Report (2023) — 26,133 citations
- Learning to summarize from human feedback (2020) — 3,335 citations