Xi Zhou
Natural Language Processing · with Zhang · 2018–2020
A researcher in the Science corpus: 4 papers; trusts 92 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 136 citations into it; #4,779 of 5,688 by trust here, #2,955 by citations
- Artificial Intelligence — 128 citations into it; #29,384 of 35,345 by trust here, #13,962 by citations
- Evaluation & Benchmarks — 39 citations into it
- Large Language Models — 24 citations into it
- Model Architectures — 5 citations into it
Whom Xi Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alec Radford
- Ilya Sutskever
- Richard Socher
- Alex Krizhevsky
- Jacob Devlin
- Jimmy Ba
- Yann LeCun
Who trusts Xi Zhou overall
Papers from Xi Zhou's perspective
Ordered by how strongly the researchers Xi Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Dual Co-Matching Network for Multi-choice Reading Comprehension (2019) — 138 citations
- Semantics-aware BERT for Language Understanding (2019) — 401 citations
- Task-specific Objectives of Pre-trained Language Models for Dialogue Adaptation (2020) — 23 citations
- I Know What You Want: Semantic Learning for Text Comprehension (2018) — 21 citations