Young-suk Lee

Artificial Intelligence · 2020

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 — 20 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Young-suk Lee trusts

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

1. Maja Popovic (in Artificial Intelligence)

Papers from Young-suk Lee's perspective

Ordered by how strongly the researchers Young-suk Lee 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. Bleu: a Method for Automatic Evaluation of Machine Translation
4. Language Models are Unsupervised Multitask Learners
5. Improving Language Understanding by Generative Pre-Training
6. The Curious Case of Neural Text Degeneration
7. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments
8. CTRL: A Conditional Transformer Language Model for Controllable Generation
9. Long Short-Term Memory
10. BERTScore: Evaluating Text Generation with BERT

Their papers

• GPT-too: A Language-Model-First Approach for AMR-to-Text Generation (2020) — 106 citations