Ce Zheng

Artificial Intelligence · Conference on Empirical Methods in Natural Language Processing · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 158 citations into it
• Prompting & Reasoning — 64 citations into it
• Natural Language Processing — 40 citations into it

Whom Ce Zheng trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Ilya Sutskever
5. Alex Krizhevsky
6. Eric Mitchell
7. Kaiming He
8. Yann LeCun
9. Alex Graves
10. Nicola De Cao

Papers from Ce Zheng's perspective

Ordered by how strongly the researchers Ce Zheng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Language Models are Unsupervised Multitask Learners

Their papers

• A Survey on In-context Learning (2022) — 1,101 citations
• A Survey for In-context Learning (2023) — 401 citations
• Can We Edit Factual Knowledge by In-Context Learning? (2023) — 356 citations