Jiayi Xin

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Natural Language Processing — 23 citations into it

Whom Jiayi Xin trusts

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

1. Chin-Yew Lin (in Natural Language Processing)
2. Luke S. Zettlemoyer (in Artificial Intelligence)

Papers from Jiayi Xin's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
3. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
4. Attention is All you Need (Neural Information Processing Systems)
5. SQuAD: 100,000+ Questions for Machine Comprehension of Text
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
8. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
9. ImageNet classification with deep convolutional neural networks
10. Long Short-Term Memory

Their papers

• Selective Annotation Makes Language Models Better Few-Shot Learners (2022) — 329 citations