Zae Myung Kim

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it

Whom Zae Myung Kim trusts overall

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

1. Jingqing Zhang
2. Wei Xu
3. Mina Lee

Who trusts Zae Myung Kim overall

1. Timo Schick

Papers from Zae Myung Kim's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Bleu: a Method for Automatic Evaluation of Machine Translation
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision (2022) — 72 citations
• Benchmarking Cognitive Biases in Large Language Models as Evaluators (2023) — 183 citations
• Understanding Iterative Revision from Human-Written Text (2022) — 78 citations