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
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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 (Hrsg.), The Semantic Web – ISWC 2020 - 19th International Semantic Web Conference, 2020, Proceedings (S. 294-310). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 12506 LNCS). https://doi.org/10.1007/978-3-030-62419-4_17
