Yitong Li

Artificial Intelligence · with Chen · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Large Language Models — 6 citations into it

Whom Yitong Li trusts overall

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

1. Alec Radford
2. Diederik P. Kingma

Papers from Yitong Li's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Language Models are Unsupervised Multitask Learners
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Improving Language Understanding by Generative Pre-Training
8. Long Short-Term Memory
9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models (2023) — 36 citations