Shuo Wang

Artificial Intelligence · with Liu · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it
• Natural Language Processing — 41 citations into it
• Evaluation & Benchmarks — 24 citations into it
• Large Language Models — 18 citations into it

Whom Shuo Wang trusts overall

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

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

Papers from Shuo Wang's perspective

Ordered by how strongly the researchers Shuo Wang 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment (2023) — 2,735 citations
• MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators (2021) — 59 citations