Qingsong Wen

Artificial Intelligence · with Jin · 2024

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Model Architectures — 9 citations into it

Whom Qingsong Wen trusts overall

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

1. Noam Shazeer

Papers from Qingsong Wen's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
3. Scaling Laws for Neural Language Models (arXiv.org)
4. Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity (Journal of machine learning research)
5. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
6. GLU Variants Improve Transformer
7. Root Mean Square Layer Normalization
8. RoFormer: Enhanced Transformer with Rotary Position Embedding
9. LLaMA: Open and Efficient Foundation Language Models (arXiv.org)
10. Scaling Vision with Sparse Mixture of Experts

Their papers

• Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts (2024) — 314 citations