Xinyan Velocity Yu
Artificial Intelligence · 2021–2024
A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it; #34,809 of 35,345 by trust here, #18,186 by citations
- Natural Language Processing — 56 citations into it
- Computer Vision and Pattern Recognition — 31 citations into it
- Evaluation & Benchmarks — 25 citations into it
- Information Retrieval & Search — 23 citations into it
- Large Language Models — 11 citations into it
- Retrieval-Augmented Generation — 8 citations into it
Whom Xinyan Velocity Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jörg Tiedemann
- Gautier Izacard
- Jacob Devlin
- Kenton C. T. Lee
- Geoffrey E. Hinton
- Diederik P. Kingma
- Danqi Chen
- Yoshua Bengio
- D. Kondratyuk
- Ilya Sutskever
Who trusts Xinyan Velocity Yu overall
Papers from Xinyan Velocity Yu's perspective
Ordered by how strongly the researchers Xinyan Velocity Yu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- RealTime QA: What's the Answer Right Now? (2022) — 301 citations
- One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval (2021) — 83 citations
- CodeRAG-Bench: Can Retrieval Augment Code Generation? (2024)