Ziyu Wan

Artificial Intelligence · with Wen · 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 — 35 citations into it
• Reinforcement Learning — 9 citations into it

Whom Ziyu Wan trusts overall

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

1. Rémi Coulom
2. Levente Kocsis

Papers from Ziyu Wan's perspective

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

1. Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
2. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
3. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
4. Bandit Based Monte-Carlo Planning
5. LIMA: Less Is More for Alignment
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers

• Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training (2023) — 351 citations