Simon Yu

I am an incoming PhD student at Northeastern University, advised by Weiyan Shi. I was a M.Res. and BSc student at the University of Edinburgh, also part of the EdinburghNLP, supervised by Jeff Pan. I am also fortuantely work closely with Pasquale Minervini and Jacques Fleuriot. I am part of the Cohere For AI community with working with Marzieh Fadaee. I have done research about alignment, instruction tuning and safety in retrieval.

My research interests lie in two main directions: i) LM Alignment: Enhancing alignment of language models for general performance and safety purposes, as well improving the alignment of language models for other aspects, such as multilingual capabilities and code generation. ii) Efficiency: making language models more efficient in both training and inference.

One of the most influential lesson to me is from The Bitter Lesson. The idea is not just limited to AI but can be applied to any choice in life. Always choose the path with greater long-term benefits, even if it seems hard or impossible.