Randy Zhong

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it
• Natural Language Processing — 43 citations into it

Whom Randy Zhong trusts overall

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

1. Diederik P. Kingma
2. Jiwei Li
3. Geoffrey E. Hinton
4. Yoshua Bengio

Papers from Randy Zhong's perspective

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

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

Their papers

• RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models (2023) — 319 citations
• Diversifying Dialogue Generation with Non-Conversational Text (2020) — 47 citations