PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
Zhaowei Zhang (张钊为)
Ph.D. Student
School of Intelligence Science and Technology
Peking University
Email: zwzhang [at] stu (dot) pku (dot) edu (dot) cn
[Google Scholar] [Github] [Twitter] [LinkedIn]
Research Interests
- AI Alignment & Post-Training
- Omni MLLM & World Models
- Efficient AI
- Reinforcement Learning
- Game Theory & Mech. Design
Zhaowei is pronounced as "Ju" (as in judge) + "ou" (as in out) + "Way"; Zhang, or Cheung in Hong Kong, is "Ju" (as in judge) + "on" | audio ([International Phonetic Alphabet, IPA]) here: [tʂɑuwei][tʂɑŋ].
I am currently a third-year Ph.D. candidate at Institute for AI, School of Intelligence Science and Technology, Peking University. Specifically, I am in the team of PAIR-Lab led by Prof. Yaodong Yang. The long-term goal of my research is to build a strong and efficient AI system, which can understand, interact, and make full use of computing resources. To this end, my research focuses on reducing the complexity of the world. In particular, I am currently quite interested in Omni MLLM & World Models, Efficient ML, and Reinforcement Learning. I welcome more friends to discuss these topics with me ☺️.
