Xiangwen Zhang

Artificial Intelligence · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 17 citations into it
• Large Language Models — 13 citations into it

Whom Xiangwen Zhang trusts overall

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

1. Diederik P. Kingma
2. Alec Radford
3. Yoshua Bengio
4. Matt Post
5. Ilya Sutskever
6. Xavier Glorot
7. Geoffrey E. Hinton
8. Jimmy Ba
9. Alex Krizhevsky
10. Ashish Vaswani

Papers from Xiangwen Zhang's perspective

Ordered by how strongly the researchers Xiangwen Zhang 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Language Models are Unsupervised Multitask Learners

Their papers

• MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators (2021) — 59 citations