Yuxuan Fan
Artificial Intelligence · 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 — 29 citations into it
Whom Yuxuan Fan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher D. Manning (in Artificial Intelligence)
Papers from Yuxuan Fan's perspective
Ordered by how strongly the researchers Yuxuan Fan trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Finetuned Language Models Are Zero-Shot Learners
- The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Their papers
- Can We Edit Factual Knowledge by In-Context Learning? (2023) — 356 citations