Keqin Peng

Artificial Intelligence · 2023

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 — 29 citations into it
• Natural Language Processing — 13 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Keqin Peng trusts overall

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

1. Matt Post
2. Ulrich Germann
3. Jason Wei
4. Jacob Devlin
5. Hany Hassan
6. Alec Radford
7. Yinhan Liu
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Ilya Sutskever

Papers from Keqin Peng's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Language Models are Unsupervised Multitask Learners
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Towards Making the Most of ChatGPT for Machine Translation (2023) — 351 citations