Kellie Lu

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 — 73 citations into it
• Reinforcement Learning — 20 citations into it

Whom Kellie Lu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ronald J. Williams
2. Jason Wei
3. Richard S. Sutton
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. John Schulman
7. Diederik P. Kingma
8. Xuezhi Wang
9. Noam Shazeer

Papers from Kellie Lu's perspective

Ordered by how strongly the researchers Kellie Lu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback (2023) — 683 citations
• RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback (2023) — 404 citations