Yuan Ni
Artificial Intelligence · 2023
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 93 citations into it
Whom Yuan Ni trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Quoc V. Le (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Luke S. Zettlemoyer (in Artificial Intelligence)
Papers from Yuan Ni's perspective
Ordered by how strongly the researchers Yuan Ni 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)
- Proximal Policy Optimization Algorithms (arXiv.org)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- UltraFeedback: Boosting Language Models with High-quality Feedback (2023) — 591 citations
- ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback (2023) — 361 citations