Hongyi Yuan
Artificial Intelligence · 2023
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 203 citations into it
Whom Hongyi Yuan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Hugo Touvron
- Yoshua Bengio
- Diederik P. Kingma
- Alec Radford
- Alex Krizhevsky
- Ilya Sutskever
- Jeff Wu
- Kaiming He
- John Schulman
Who trusts Hongyi Yuan overall
Papers from Hongyi Yuan's perspective
Ordered by how strongly the researchers Hongyi Yuan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- RRHF: Rank Responses to Align Language Models with Human Feedback without tears (2023) — 545 citations
- Scaling Relationship on Learning Mathematical Reasoning with Large Language Models (2023) — 354 citations
- Qwen Technical Report (2023) — 4,095 citations
- How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition (2023) — 310 citations