Patrick Y. Wu

Political Science and International Relations · 2023

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Political Science and International Relations — 7 citations into it
• Economics and Econometrics — 5 citations into it

Whom Patrick Y. Wu trusts overall

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

1. Seongho Kim
2. John Schulman
3. K. Poole
4. Ashish Vaswani
5. Filip Wolski
6. Tom B. Brown
7. Howard Rosenthal
8. Daniel M. Ziegler
9. Alec Radford
10. Prafulla Dhariwal

Who trusts Patrick Y. Wu overall

1. Fabrizio Gilardi

Papers from Patrick Y. Wu's perspective

Ordered by how strongly the researchers Patrick Y. Wu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Proximal Policy Optimization Algorithms (arXiv.org)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Gradient-based learning applied to document recognition

Their papers

• Large Language Models Can Be Used to Estimate the Ideologies of Politicians in a Zero-Shot Learning Setting (2023) — 28 citations
• Large Language Models Can Be Used to Estimate the Latent Positions of Politicians (2023) — 41 citations