Yuhan Liu

Artificial Intelligence · with Feng · 2023

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Natural Language Processing — 35 citations into it
• Sociology and Political Science — 13 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Information Systems — 6 citations into it

Whom Yuhan Liu trusts overall

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

1. William Yang Wang
2. Geoffrey E. Hinton
3. Jacob Devlin
4. Yoshua Bengio
5. Diederik P. Kingma
6. Alec Radford
7. Ilya Sutskever
8. Alex Krizhevsky
9. Yinhan Liu

Papers from Yuhan Liu's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Language Models are Unsupervised Multitask Learners
8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
9. ImageNet: A large-scale hierarchical image database
10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers

• From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models (2023) — 396 citations