Moya Chen

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 6 papers; trusts 71 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 329 citations into it; #22,635 of 35,345 by trust here, #1,628 by citations
• Natural Language Processing — 195 citations into it; #4,023 of 5,688 by trust here, #1,779 by citations
• Computer Vision and Pattern Recognition — 88 citations into it
• Retrieval-Augmented Generation — 19 citations into it; #77 of 99 by trust here, #47 by citations

Whom Moya Chen trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Alex Krizhevsky
6. Emily Dinan
7. Jason Aaron Edward Weston
8. Kaiming He
9. Sepp Hochreiter
10. Yann LeCun

Who trusts Moya Chen overall

1. Jing Xu
2. Kurt Shuster
3. Akari Asai
4. Tim Dettmers
5. Chujie Zheng

Papers from Moya Chen's perspective

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

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

Their papers

• Llama 2: Open Foundation and Fine-Tuned Chat Models (2023) — 17,670 citations
• Retrieval Augmentation Reduces Hallucination in Conversation (2021) — 1,126 citations
• BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage (2022) — 297 citations
• A Theory on Adam Instability in Large-Scale Machine Learning (2023) — 56 citations
• When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (2024) — 153 citations
• OPT: Open Pre-trained Transformer Language Models (2022) — 4,844 citations