Zhiruo Wang

Artificial Intelligence · with Neubig · 2022

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 86 citations into it
• Natural Language Processing — 56 citations into it
• Information Systems — 42 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Evaluation & Benchmarks — 27 citations into it
• Information Retrieval & Search — 27 citations into it
• Code Generation & Program Synthesis — 21 citations into it
• Large Language Models — 10 citations into it

Whom Zhiruo Wang trusts overall

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

1. Pengcheng Yin
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Ilya Sutskever
6. Richard Socher
7. Victor Zhong
8. Alex Krizhevsky
9. Graham Neubig
10. Yann LeCun

Who trusts Zhiruo Wang overall

1. Naman Jain
2. Shuyan Zhou
3. M Saiful Bari
4. Terry Yue Zhuo

Papers from Zhiruo Wang's perspective

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

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

Their papers

• Execution-Based Evaluation for Open-Domain Code Generation (2022) — 119 citations
• Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer (2022) — 53 citations
• MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages (2022) — 63 citations