Muru Zhang

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it
• Natural Language Processing — 39 citations into it
• Large Language Models — 25 citations into it
• Model Architectures — 6 citations into it

Whom Muru Zhang trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Oriol Vinyals
5. Diederik P. Kingma
6. Ilya Sutskever
7. Alex Krizhevsky
8. Yann LeCun
9. Quoc V. Le
10. Kaiming He

Who trusts Muru Zhang overall

1. Lingjiao Chen
2. Vipula Rawte
3. Jie Huang
4. Matei A. Zaharia
5. Amit P. Sheth
6. Omar Khattab
7. Harsh Trivedi

Papers from Muru Zhang's perspective

Ordered by how strongly the researchers Muru Zhang 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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

• How Language Model Hallucinations Can Snowball (2023) — 448 citations
• Measuring and Narrowing the Compositionality Gap in Language Models (2022) — 1,329 citations