Andrew Zhao

Artificial Intelligence · 2023–2025

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it

Whom Andrew Zhao trusts overall

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

1. Shunyu Yao
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Christopher J. C. H. Watkins
5. Richard S. Sutton
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Tom Schaul
9. Kaiming He
10. Ilya Sutskever

Who trusts Andrew Zhao overall

1. Omar Khattab

Papers from Andrew Zhao's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers

• ExpeL: LLM Agents Are Experiential Learners (2023) — 699 citations
• Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? (2025) — 919 citations
• Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning (2025) — 517 citations