Jun Qin
Artificial Intelligence · 2024
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 — 23 citations into it
Whom Jun Qin trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yejin Choi (in Artificial Intelligence)
- Swabha Swayamdipta (in Artificial Intelligence)
- Kawin Ethayarajh (in Artificial Intelligence)
Papers from Jun Qin's perspective
Ordered by how strongly the researchers Jun Qin trusts endorse each paper. Same corpus, a different order for every researcher.
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Learning to summarize from human feedback
- Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback (arXiv.org)
- GPT-4 Technical Report
- WebGPT: Browser-assisted question-answering with human feedback
- ImageNet classification with deep convolutional neural networks
- On Calibration of Modern Neural Networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Understanding Dataset Difficulty with V-Usable Information