I am Yaowen Ye (or Elwin, or 叶耀文), a first-year CS PhD student at UC Berkeley advised by Prof. Jacob Steinhardt and Prof. Stuart Russell. I work on understanding the limitations of human oversight of AI systems and developing scalable approaches to address them. Directions I am exploring include:
- How can we implement the debate proposal in practice to achieve its theoretical benefits? Can adversarial debate training produce models that are more truthful than RLHFed models?
- What emergent risks can arise when many agents are deployed in shared environments? Can existing oversight methods scale to address them effectively?
Feel free to reach out if you're interested in my research! I also enjoy mentoring, so if you are an undergrad and think my advice might be helpful, I'd be happy to connect.
Before joining Berkeley, I did my undergrad at The University of Hong Kong. During my undergrad, I also worked on cognitive reasoning, intuitive physics, learning on graphs, and recommender systems. I was fortunate to be advised by Prof. Yixin Zhu at PKU Cognitive Reasoning Lab and Prof. Chao Huang at HKU Data Intelligence Lab.
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