Chengzu Li
Artificial Intelligence · 2022
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 133 citations into it; #34,588 of 35,345 by trust here, #12,580 by citations
- Natural Language Processing — 98 citations into it; #5,529 of 5,688 by trust here, #2,695 by citations
Whom Chengzu Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Percy Liang
- Richard Socher
- Dzmitry Bahdanau
- Diederik P. Kingma
- Yoshua Bengio
- Christopher D. Manning
- Quoc V. Le
- Jonathan Berant
- Luke S. Zettlemoyer
- Ilya Sutskever
Who trusts Chengzu Li overall
Papers from Chengzu Li's perspective
Ordered by how strongly the researchers Chengzu Li trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Language Models are Unsupervised Multitask Learners
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Binding Language Models in Symbolic Languages (2022) — 322 citations
- UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models (2022) — 362 citations