Regular biography
Yang Liu is a prominent researcher in the field of natural language processing (NLP), with a particular focus on statistical machine translation (SMT) and related areas. He has made significant contributions to the development of translation models, alignment techniques, and decoding algorithms. His work has been widely recognized in the academic community, and he has published numerous influential papers in top-tier conferences and journals such as ACL, EMNLP, COLING, and Computational Linguistics. Liu has also been involved in various international research projects and has held leadership roles in academic and industry settings. His research has had a lasting impact on the field of machine translation and continues to inspire new directions in NLP research.
Scholar-generated biography
Yang Liu is a GDS Professor at Tsinghua University, specializing in Natural Language Processing, Medical AI, and AI for Science. Their research focuses on advancing large-scale pre-trained language models through parameter-efficient fine-tuning, minimum risk training, and delta tuning. Liu also explores neural machine translation, including modeling coverage, semi-supervised learning, and document-level context integration. Additionally, they investigate AI applications in healthcare, such as agent hospital and medical agents, as well as AI for scientific discovery, including crystal structure prediction. Their work emphasizes the development of open-source models, security, and collaboration frameworks for LLM agents.