Di Wang
Artificial Intelligence · with Nakov · 2023
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it
Whom Di Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Di Wang's perspective
Ordered by how strongly the researchers Di Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
Their papers
- DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text (2023) — 299 citations