Zeqiu Wu

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 6 papers; trusts 117 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 181 citations into it
• Natural Language Processing — 110 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it
• Large Language Models — 34 citations into it
• Information Retrieval & Search — 21 citations into it
• Evaluation & Benchmarks — 19 citations into it
• Alignment & RLHF — 18 citations into it
• Information Systems — 17 citations into it

Whom Zeqiu Wu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ilya Sutskever
5. Alec Radford
6. Alex Krizhevsky
7. Yann LeCun
8. Kaiming He
9. Richard Socher
10. Alex Graves

Who trusts Zeqiu Wu overall

1. Anisha Gunjal
2. Zhuyun Dai
3. Prasann Singhal
4. Zhiyuan Zeng
5. Guan Wang
6. Grégoire Mialon
7. Shehzaad Dhuliawala
8. Jinjie Ni
9. Baolin Peng
10. Dan Su

Papers from Zeqiu Wu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases (2016) — 320 citations
• Fine-Grained Human Feedback Gives Better Rewards for Language Model Training (2023) — 481 citations
• CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning (2021) — 113 citations
• Automatic Document Sketching: Generating Drafts from Analogous Texts (2021) — 7 citations
• A Controllable Model of Grounded Response Generation (2020) — 89 citations
• Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection (2023) — 2,215 citations