About
Hello there! I’m Fangjun Li (李芳君).
As a Ph.D. student in AI Group at School of Computing, University of Leeds, I’m fortunate to be mentored by Prof. Anthony Cohn and Prof. David Hogg. I received my B.S. and M.S. degree in School of Information Science and Engineering, Shandong University (Project 985), China. During my Master’s, I conducted research at the WMCT Laboratory, supervised by NA. Minggao Zhang and Prof. Dongfeng Yuan.
Research Interests
My research area is in Knowledge Representation and Reasoning, and Large Language Models. Specifically, ontologies, knowledge graphs, qualitative spatial reasoning, logical programming, prompt engineering, and foundation model evaluation.
Recent Highlights
- Our Paper “Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning” was accepted by IJCAI-2024.
In the 38th AAAI Conference on Artificial Intelligence, held in Vancouver, British Columbia at the Vancouver Convention Centre. We gave a poster presentation.
In the Tenth Advances in Cognitive Systems (ACS) Conference, held at George Mason University’s Institute for Digital InnovAtion (IDIA) campus at 3351 North Fairfax Drive, Arlington, Virginia, USA. I gave a long talk about Ontology Knowledge-enhanced In-Context Learning for Action-Effect Prediction. Read the paper here. A recording of my talk can be found here.
In the Second Workshop on People in Vision, Language And the Mind, co-located with LREC 2022, held in Palais du Pharo, Marseilles, France. I gave a talk about Exploring the GLIDE model for Human Action Effect Prediction. Read the paper here. A recording of my talk can be found here.