Liang Chen

Large Language Models · with He · 2020

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

Subfields

• Large Language Models — 7 citations into it

Whom Liang Chen trusts overall

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

1. Alec Radford
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Ilya Sutskever
6. Richard Socher
7. Alex Krizhevsky
8. Jacob Devlin
9. Dan Hendrycks
10. Rico Sennrich

Who trusts Liang Chen overall

1. Xu Han

Papers from Liang Chen's perspective

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

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

Their papers

• Variance-reduced Language Pretraining via a Mask Proposal Network (2020) — 8 citations