Yawei Li

I am a Ph.D. student at the Statistical Learning and Data Science (SLDS) group at LMU Munich, supervised by Prof. Dr. Bernd Bischl, and a junior member of the Munich Center for Machine Learning (MCML). In 2024, I was a visiting researcher at the lab of Prof. Dr. Kenji Kawaguchi at the National University of Singapore (NUS).

My research aims to make LLMs more reliable and efficient. I work on calibration of LLMs, so that a model’s confidence reflects how likely it is to be correct; post-training of large reasoning models, such as self-distillation; and efficient LLMs, from pruning model layers to making reasoning more concise.

My journey started in China, where I earned a bachelor’s degree in Laboratory Medical Science from Southern Medical University in Guangzhou. My passion for engineering then brought me to Germany, where I completed a B.Sc. in Electrical Engineering at TU Darmstadt. Intrigued by the intersection of technology and medicine, I went on to an M.Sc. in Biomedical Computing at the Technical University of Munich (TUM).