Ziqian Zhong
Hi! I'm Ziqian Zhong. I'm currently a PhD student at Carnegie Mellon
University where I am very fortunate to be advised by
Aditi Raghunathan. Before that, I studied computer science and math at MIT, where I worked with Jacob Andreas and Max Tegmark. I also worked as a research scientist at Pika where I led the development of Pika 2.0.
Transformers and other large language models are powerful yet complex systems with significant unexplored potential and risks. While these models are becoming increasingly advanced, our current understanding of their mechanisms, behaviors, and limitations are extremely narrow and fragile. My research seeks to advance principled approaches to enhance their robustness, controllability, and alignment with human values. [Resume]
I'm always excited to collaborate with researchers at CMU and beyond. If you're working on related problems or have interesting ideas you'd like to explore together, please feel free to reach out!
Current Research Interest: AI Safety and Interpretability.
Transformers and other large language models are powerful yet complex systems with significant unexplored potential and risks. While these models are becoming increasingly advanced, our current understanding of their mechanisms, behaviors, and limitations are extremely narrow and fragile. My research seeks to advance principled approaches to enhance their robustness, controllability, and alignment with human values. [Resume]
I'm always excited to collaborate with researchers at CMU and beyond. If you're working on related problems or have interesting ideas you'd like to explore together, please feel free to reach out!
