Yanggan Gu, a Master's student at Soochow University, specialises in natural language processing (NLP) and artificial intelligence. His research focuses on efficient training methods and preference alignment for large language models (LLMs), alongside syntactic and semantic analysis to improve model interpretability and performance. With an impressive academic record, Yanggan has published five papers at renowned international conferences, including ACL, SIGIR, and COLING, with three as the first author. His contributions aim to enhance the efficiency and alignment of LLMs in practical applications. In addition to research, Yanggan has showcased excellence in innovation and practical skills, earning eight awards in national and provincial competitions such as the China Software Cup and Challenge Cup. He also holds seven software copyrights, highlighting his expertise in software development and AI implementation, making him a promising talent in the field of artificial intelligence.