Yi-Ting Yeh

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 78 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 120 citations into it; #24,346 of 35,345 by trust here, #18,186 by citations
• Natural Language Processing — 99 citations into it; #4,081 of 5,688 by trust here, #3,638 by citations
• Evaluation & Benchmarks — 50 citations into it; #2,290 of 3,147 by trust here, #2,704 by citations
• Computer Vision and Pattern Recognition — 25 citations into it
• Large Language Models — 16 citations into it

Whom Yi-Ting Yeh trusts overall

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

1. Geoffrey E. Hinton
2. Shikib Mehri
3. Diederik P. Kingma
4. Yoshua Bengio
5. Chin-Yew Lin
6. Tomas Mikolov
7. Ilya Sutskever
8. Alex Krizhevsky
9. Jacob Devlin
10. Alec Radford

Who trusts Yi-Ting Yeh overall

1. Pei Zhou
2. Sarik Ghazarian
3. Behnam Hedayatnia
4. Karthik Gopalakrishnan
5. Baolin Peng
6. Prakhar Gupta
7. Yang Liu
8. Nouha Dziri
9. Chen Zhang

Papers from Yi-Ting Yeh's perspective

Ordered by how strongly the researchers Yi-Ting Yeh trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• A Comprehensive Assessment of Dialog Evaluation Metrics (2021) — 122 citations
• Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning (2022) — 57 citations
• InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning (2022) — 58 citations