Yizhou Wang
Artificial Intelligence · with Dai · 2023
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it
- Large Language Models — 14 citations into it
- Safety, Robustness & Interpretability — 11 citations into it
- Health Informatics — 6 citations into it
Whom Yizhou Wang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Iason Gabriel (in Artificial Intelligence)
Papers from Yizhou Wang's perspective
Ordered by how strongly the researchers Yizhou Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback (arXiv.org)
- A General Language Assistant as a Laboratory for Alignment
- Multitask Prompted Training Enables Zero-Shot Task Generalization
- AI safety via debate
- Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)
- PaLM 2 Technical Report
Their papers
- Safe RLHF: Safe Reinforcement Learning from Human Feedback (2023) — 750 citations
- AI Alignment: A Comprehensive Survey (2023) — 376 citations