Siyan Li

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Natural Language Processing — 17 citations into it
• Large Language Models — 10 citations into it

Whom Siyan Li trusts overall

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

1. Andrea Esuli
2. Alec Radford
3. Mark J van Rossum
4. Nitish Shirish Keskar
5. Geoffrey E. Hinton
6. Jacob Devlin
7. Ilya Sutskever
8. Yoshua Bengio
9. Daniel M. Ziegler
10. Diederik P. Kingma

Who trusts Siyan Li overall

1. Emily Sheng

Papers from Siyan Li's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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. Language Models are Unsupervised Multitask Learners
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Reducing Non-Normative Text Generation from Language Models (2020) — 33 citations
• Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text (2020) — 8 citations