Yi-Chong Huang

Natural Language Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 33 citations into it
• Evaluation & Benchmarks — 13 citations into it

Whom Yi-Chong Huang trusts overall

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

1. K. Erk
2. Joshua Maynez
3. Karl Moritz Hermann
4. Noah A. Smith
5. Shashi Narayan
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Salim Roukos
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Yi-Chong Huang overall

1. Ziwei Ji
2. Nayeon Lee

Papers from Yi-Chong Huang's perspective

Ordered by how strongly the researchers Yi-Chong Huang trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey (2021) — 128 citations