Chen Li
Artificial Intelligence · with Wang · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 64 citations into it
- Natural Language Processing — 50 citations into it
- Evaluation & Benchmarks — 11 citations into it
Whom Chen Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Chen Li's perspective
Ordered by how strongly the researchers Chen Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Unsupervised Multitask Learners
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Improving Language Understanding by Generative Pre-Training
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
Their papers
- PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation (2021) — 243 citations
- Joint Parsing and Generation for Abstractive Summarization (2019) — 30 citations