Zheng Yu

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it

Whom Zheng Yu trusts overall

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

1. Diederik P. Kingma

Papers from Zheng Yu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
6. Training language models to follow instructions with human feedback (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. ImageNet classification with deep convolutional neural networks
9. GPT-4 Technical Report
10. Gradient-based learning applied to document recognition

Their papers

• GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts (2023) — 637 citations