Zihan Wang
Artificial Intelligence · with Wang · 2023
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 88 citations into it
- Large Language Models — 42 citations into it
- Optimization & Training — 8 citations into it
Whom Zihan Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zihan Wang's perspective
Ordered by how strongly the researchers Zihan Wang 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)
- Layer Normalization
- ImageNet classification with deep convolutional neural networks
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Improving Language Understanding by Generative Pre-Training
Their papers
- CogAgent: A Visual Language Model for GUI Agents (2023) — 804 citations
- CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X (2023) — 573 citations
- CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X (2023) — 215 citations