George Pu

Artificial Intelligence · with Chang · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Natural Language Processing — 29 citations into it
• Safety, Robustness & Interpretability — 19 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom George Pu trusts overall

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

1. Richard Socher
2. Samuel R. Bowman
3. Adina Williams
4. Kai-Wei Chang
5. Jieyu Zhao
6. Emily Sheng
7. Geoffrey E. Hinton
8. Sudha Rao
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from George Pu's perspective

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

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

Their papers

• "Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters (2023) — 332 citations