Wen-Tau Yih
Artificial Intelligence · with Lin · 2022–2025
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 116 citations into it
- Representation & Self-Supervised Learning — 24 citations into it
Whom Wen-Tau Yih trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Niklas Muennighoff (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
Papers from Wen-Tau Yih's perspective
Ordered by how strongly the researchers Wen-Tau Yih trusts endorse each paper. Same corpus, a different order for every researcher.
- Microsoft COCO: Common Objects in Context
- Visualizing Data using t-SNE
- Skip-Thought Vectors
- A large annotated corpus for learning natural language inference
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
- Finetuned Language Models Are Zero-Shot Learners
- Attention is All you Need (Neural Information Processing Systems)
- A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
- Character-level Convolutional Networks for Text Classification