Teaching

Our primary thesis entry path is via our research project course. Regrettably, there is currently (9/2026) no capacity for theses outside of it. Some advice on theses in our group.

Winter term 2026/2027

• Master Lecture “Behind the secrets of large language models”, jointly taught with Michael Färber
• Research project courseKnowledge-aware AI

Summer term 2026

• Seminar Large Language Models and Knowledge-aware AI

Winter term 2025/2026

• Master Lecture “Behind the secrets of large language models”, jointly taught with Michael Färber

Summer term 2025

• Seminar “Large Language Models and Knowledge-aware AI“

Winter term 2024/2025

• Master Lecture “Behind the secrets of large language models”, jointly taught with Michael Färber

Previous Activities

Teaching at Saarland University

• Advanced lecture “Automated Knowledge Base Construction”, summer term 2022
• Seminar “Commonsense Knowledge Extraction and Consolidation”, winter term 2020/21
• Advanced lecture “Information Extraction”, winter term 2019/20
• Seminar “Advanced Topics in Knowledge Bases”, winter term 2018/19
• Seminar “Knowledge Bases”, winter term 2017/18

Teaching at FU Bozen-Bolzano

• Lecture+Lab “Distributed Systems”, 2017
• Lecture+Lab “Distributed Systems”, 2016
• Lecture+Lab “Distributed Systems”, 2015
• Lab “Data Structures and Algorithms”, 2013
• Lab “Data Structures and Algorithms”, 2012

Tutorials on commonsense knowledge

• Information to Wisdom: Commonsense Knowledge Extraction and Compilation, tutorial at WSDM 2021 (w/ Niket Tandon, Aparna S. Varde)
• Commonsense Knowledge Acquisition and Representation, tutorial at AAAI 2021 (w/ Filip Ilievski, Antoine Bosselut, Mayank Kejriwal) [Youtube] [slides]
• Commonsense Knowledge Extraction and Consolidation, tutorial at KI 2020

Tutorials on completeness, coverage and negation in KBs

• Completeness, Recall, and Negation in Open-World Knowledge Bases, tutorial at ISWC 20201 (w/ Hiba Arnaout, Shrestha Ghosh, Fabian Suchanek)
• At VLDB’21
• At KR’21
• At WWW’22