Kyryl Truskovskyi

Large Language Models · 2019

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

• Large Language Models — 5 citations into it

Whom Kyryl Truskovskyi trusts overall

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

1. Alec Radford

Papers from Kyryl Truskovskyi's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
3. GloVe: Global Vectors for Word Representation
4. Language Models are Unsupervised Multitask Learners
5. Bleu: a Method for Automatic Evaluation of Machine Translation
6. Improving Language Understanding by Generative Pre-Training
7. Neural Machine Translation of Rare Words with Subword Units
8. ImageNet classification with deep convolutional neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. SQuAD: 100,000+ Questions for Machine Comprehension of Text

Their papers

• Large-Scale Transfer Learning for Natural Language Generation (2019) — 93 citations