Weizhe Yuan
Artificial Intelligence · with Liu · 2021–2023
A researcher in the Science corpus: 6 papers; trusts 280 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 352 citations into it; #6,950 of 35,345 by trust here, #2,880 by citations
- Natural Language Processing — 262 citations into it; #3,041 of 5,688 by trust here, #871 by citations
- Computer Vision and Pattern Recognition — 103 citations into it
- Large Language Models — 96 citations into it; #667 of 799 by trust here, #791 by citations
- Evaluation & Benchmarks — 78 citations into it; #922 of 3,147 by trust here, #1,355 by citations
- Prompting & Reasoning — 39 citations into it; #207 of 359 by trust here, #104 by citations
- Information Systems — 31 citations into it; #2,017 of 8,771 by trust here, #1,778 by citations
- Representation & Self-Supervised Learning — 30 citations into it
Whom Weizhe Yuan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Chin-Yew Lin
- Ilya Sutskever
- Alex Krizhevsky
- Richard Socher
- Yann LeCun
- Kaiming He
- Jimmy Ba
Who trusts Weizhe Yuan overall
- Jinlan Fu
- Pengfei Liu
- Yang Liu
- Wenda Xu
- Yixin Liu
- Graham Neubig
- Katikapalli Subramanyam Kalyan
- Ming Zhong
- Mirac Suzgun
- Dongfu Jiang
Papers from Weizhe Yuan's perspective
Ordered by how strongly the researchers Weizhe Yuan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing (2021) — 5,562 citations
- BARTScore: Evaluating Generated Text as Text Generation (2021) — 1,107 citations
- ExplainaBoard: An Explainable Leaderboard for NLP (2021) — 61 citations
- DataLab: A Platform for Data Analysis and Intervention (2022) — 14 citations
- Can We Automate Scientific Reviewing? (2021) — 129 citations
- FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios (2023) — 315 citations