Research Interests
I am interested in combining Large Language Models and Knowledge Graphs to generate Natural Language Explanations. My focus is on personalized XAI by generating human-centered explanations that are adapted to the skill level of the explainee.
Publications
Showing results 1 - 3 out of 3
2022
Kalo, J.-C., & Fichtel, L. (2022). KAMEL: Knowledge Analysis with Multitoken Entities in Language Models. In Conference on Automated Knowledge Base Construction
2021
Fichtel, L., Kalo, J.-C., & Balke, W.-T. (2021). Prompt Tuning or Fine-Tuning: Investigating Relational Knowledge in Pre-Trained Language Models. In Conference on Automated Knowledge Base Construction https://doi.org/10.24432/C5RC75
2020
Kalo, J.-C., Fichtel, L., Ehler, P., & Balke, W.-T. (2020). KnowlyBERT: Hybrid Query Answering over Language Models and Knowledge Graphs. In J. Z. Pan, V. Tamma, C. d’Amato, K. Janowicz, B. Fu, A. Polleres, O. Seneviratne, & L. Kagal (Eds.), The Semantic Web – ISWC 2020 - 19th International Semantic Web Conference, 2020, Proceedings (pp. 294-310). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12506 LNCS). https://doi.org/10.1007/978-3-030-62419-4_17
