Jinxiong Chang
Artificial Intelligence · 2023
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it
- Natural Language Processing — 12 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Jinxiong Chang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jinxiong Chang's perspective
Ordered by how strongly the researchers Jinxiong Chang trusts endorse each paper. Same corpus, a different order for every researcher.
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Decoupled Weight Decay Regularization
- The Curious Case of Neural Text Degeneration
- ROUGE: A Package for Automatic Evaluation of Summaries
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)