Ruilin Han

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it
• Evaluation & Benchmarks — 51 citations into it
• Natural Language Processing — 51 citations into it

Whom Ruilin Han trusts overall

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

1. Chin-Yew Lin

Papers from Ruilin Han's perspective

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

1. Bleu: a Method for Automatic Evaluation of Machine Translation
2. Attention is All you Need (Neural Information Processing Systems)
3. Long Short-Term Memory
4. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ImageNet classification with deep convolutional neural networks
9. ROUGE: A Package for Automatic Evaluation of Summaries
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation (2022) — 179 citations