Jiefu Ou
Hi there!
I am a second-year PhD student at the Center for Language and Speech Processing, Johns Hopkins University, advised by Daniel Khashabi and Benjamin Van Durme. Previously, I was a research master’s student (MLT) at Language Technologies Institute, Carnegie Mellon University, working with Teruko Mitamura and Daniel Fried.
Prior to CMU, I received my B.S. degree in Computer Science, and Mathematics & Economics from the Hong Kong University of Science and Technology. During my undergrad study, I spent two years at Knowledge Computation Group@HKUST, where I was advised by Yangqiu Song. I was also a research intern at CLSP, JHU supervised by Benjamin Van Durme.
Research Themes
I am broadly interested in Natural Language Processing. My (current) goal of research is to build intelligent systems that can communicate and collaborate with humans in dynamic environments for solving complex real-world tasks. Under this theme, I would like to explore:
Grounded Reasoning for Scientific Research: Building AI systems that can assist researchers in digesting and enhancing scientific discovery, with grounded, explainable, and retrieval-augmented reasoning.
Interaction: Developing better modes of interaction between human users and AI systems that foster effective collaboration and mutual adaptation, learning from complex-form human feedback.
Natural Language and Code: Code generation/interpretation in realistic and complicated scenarios.
In the past, I also worked on information extraction, controlled generation, discourse analysis, and knowledge graph completion.