Zihang is a Research Assistant at the NUS School of Computing. His research focuses on optimizing and aligning large language models, and advancing their reasoning and evaluation capabilities across diverse domains. He is particularly interested in developing novel training strategies and workflow designs to enhance model performance and adaptability.