Shengxin Zhu

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 245 citations into it
• Natural Language Processing — 112 citations into it
• Evaluation & Benchmarks — 37 citations into it

Whom Shengxin Zhu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Chin-Yew Lin
6. Ilya Sutskever
7. Yann LeCun
8. Kaiming He
9. Kevin Yang
10. Alex Graves

Papers from Shengxin Zhu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet: A large-scale hierarchical image database
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

• Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review (2023) — 443 citations
• Unleashing the potential of prompt engineering for large language models (2023) — 332 citations