Yisen Wang

Artificial Intelligence · with Wang · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Health Informatics — 6 citations into it

Whom Yisen Wang trusts

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

1. Jacob Steinhardt (in Artificial Intelligence)
2. Alexander Wei (in Artificial Intelligence)
3. Nika Haghtalab (in Artificial Intelligence)

Papers from Yisen Wang's perspective

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

1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Llama 2: Open Foundation and Fine-Tuned Chat Models (arXiv.org)
10. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Their papers

• Jailbreak and Guard Aligned Language Models With Only Few In-Context Demonstrations (2023) — 497 citations