Bingsheng Yao

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 93 citations into it
• Natural Language Processing — 64 citations into it
• Evaluation & Benchmarks — 34 citations into it
• Social Psychology — 16 citations into it

Whom Bingsheng Yao trusts overall

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

1. M. de Choudhury
2. Jacob Devlin
3. Alec Radford
4. Chin-Yew Lin
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ming-Wei Chang
9. Ilya Sutskever
10. Alex Krizhevsky

Papers from Bingsheng Yao's perspective

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

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

Their papers

• GEMv2: Multilingual NLG Benchmarking in a Single Line of Code (2022) — 43 citations
• Frustratingly Hard Evidence Retrieval for QA Over Books (2020) — 12 citations
• Leveraging Large Language Models for Mental Health Prediction via Online Text Data (2023) — 305 citations