Yibing Song

Artificial Intelligence · with Jin · 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

• Artificial Intelligence — 30 citations into it

Whom Yibing Song trusts overall

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

1. Alex Graves

Papers from Yibing Song's perspective

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

1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
2. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Sequence Transduction with Recurrent Neural Networks
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• LlaVA-CoT: Let Vision Language Models Reason Step-By-Step (2024) — 528 citations