Yulong Wu is a final-year PhD candidate in the Department of Computer Science at The University of Manchester (UoM). He began his research journey in the same group, where he completed his MSc degree and gained the initial research experience. His PhD is supported by the prestigious Kilburn Scholarship from the Department of Computer Science.

His primary research focuses on assessing the robustness of language technologies in real-world scenarios, with a particular emphasis on machine reading comprehension and question answering. Recently, he has also been investigating the effects of benchmark dataset leakage on the evaluation of large language models (LLMs). His work advances the understanding of real-world reliability in state-of-the-art AI systems and offers insights into developing truly robust and deployable language technologies.

Yulong also has a strong interdisciplinary interest and has contributed to projects such as suicide risk prediction and event extraction from roadmaps. He has collaborated with NIHR Greater Manchester Patient Safety Translational Research Centre, UoM’s Sustainable Consumption Institute, and was a visiting researcher at the University of Melbourne, Australia.