Jiaxu Zhao

Artificial Intelligence · 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 Jiaxu Zhao trusts overall

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

1. Alec Radford
2. Diederik P. Kingma
3. Haochen Liu
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Jacob Devlin
7. Yoshua Bengio
8. Ilya Sutskever
9. Anne Lauscher
10. Shikha Bordia

Papers from Jiaxu Zhao's perspective

Ordered by how strongly the researchers Jiaxu Zhao 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. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

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