Yi Gu

Artificial Intelligence · with Chen · 2024

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

Whom Yi Gu trusts

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

  1. Chin-Yew Lin (in Natural Language Processing)
  2. Mark John Francis Gales (in Artificial Intelligence)

Papers from Yi Gu's perspective

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

  1. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
  5. SQuAD: 100,000+ Questions for Machine Comprehension of Text
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers