Minjun Zhu

Artificial Intelligence · 2022

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

Subfields

• Artificial Intelligence — 38 citations into it
• Natural Language Processing — 24 citations into it

Whom Minjun Zhu trusts overall

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

1. Hannaneh Hajishirzi
2. Geoffrey E. Hinton
3. Alec Radford
4. Yoshua Bengio
5. Jason Wei
6. Akari Asai
7. Ilya Sutskever
8. Diederik P. Kingma
9. Ashish Vaswani
10. Lei Wang

Papers from Minjun Zhu's perspective

Ordered by how strongly the researchers Minjun 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. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Language Models are Unsupervised Multitask Learners
8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Large Language Models are Better Reasoners with Self-Verification (2022) — 424 citations