Lei Wang

Artificial Intelligence · 11 papers · 2018–2023

A researcher in the Science corpus: 11 papers; trusts 277 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 302 citations into it; #3,774 of 35,345 by trust here, #4,276 by citations
• Natural Language Processing — 263 citations into it; #919 of 5,688 by trust here, #1,199 by citations
• Computer Vision and Pattern Recognition — 84 citations into it; #18,902 of 21,575 by trust here, #13,815 by citations
• Information Systems — 56 citations into it; #2,573 of 8,771 by trust here, #1,246 by citations
• Large Language Models — 42 citations into it
• Prompting & Reasoning — 40 citations into it
• Computational Theory and Mathematics — 22 citations into it; #2,610 of 12,182 by trust here, #1,700 by citations
• Evaluation & Benchmarks — 21 citations into it

Whom Lei Wang trusts overall

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

1. Subhro Roy
2. Richard Socher
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Dan Roth
6. Danqing Huang
7. Ilya Sutskever
8. Diederik P. Kingma
9. Rik Koncel-Kedziorski
10. Shuming Shi

Who trusts Lei Wang overall

1. Zhenwen Liang
2. Jipeng Zhang
3. Qinzhuo Wu
4. Yibin Shen
5. Jierui Li
6. Jinghui Qin
7. Yihuai Lan
8. Zhipeng Xie
9. Zhanming Jie
10. Iddo Drori

Papers from Lei Wang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models (2023) — 783 citations
• The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers (2018) — 149 citations
• Translating a Math Word Problem to an Expression Tree (2018) — 179 citations
• MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning (2018) — 122 citations
• Template-Based Math Word Problem Solvers with Recursive Neural Networks (2019) — 168 citations
• LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models (2023) — 497 citations
• Investigating Math Word Problems using Pretrained Multilingual Language Models (2021) — 36 citations
• MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers (2021) — 79 citations
• Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem (2020) — 72 citations
• Graph-to-Tree Learning for Solving Math Word Problems (2020) — 213 citations
• Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions (2019) — 109 citations