Prof. Dr. Malte Schilling, Institut für Informatik

Current TalksVorstellung des Projekts Tutor.AI wissenschaftsbasierter KI-Lernassistent vor den Studiendenkan*innen . Studiendekan*innen-Konferenz, Universität Münster
Current PublicationsRidder, F.; Schilling, M. The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM’s Internal States. Proceedings of the AAAI 2025 Workshop on Preventing and Detecting LLM Misinformation (PDLM), 2025 online
Schilling, Malte; Ritter, Helge J.; Ohl, Frank W. Linking meta-learning to meta-structure. Behavioral and Brain Sciences Vol. 47, 2024 online
Schilling, Malte; Hammer, Barbara; Ohl, Frank W.; Ritter, Helge J.; Wiskott, Laurenz Modularity in Nervous Systems-a Key to Efficient Adaptivity for Deep Reinforcement Learning. Cognitive Computation Vol. 16 (5), 2024 online
Hering, M.; Höving, S.; Schilling, M. 3D-printed Robust Ground Contact Sensors for Haptic Feedback using Functional Materials. Proceedings of the CLAWAR 2024 Conference (Vol. 2), 2024 online
Kahl, S.; Löffler, F.; Maciol, M.; Ridder, F.; Schmitz, M.; Spanagel, J.; Wienkamp, J.; Burgahn, C.; Schilling, M. Evaluating the Impact of Advanced LLM Techniques on AI Lecture Tutors for a Robotics Course. Communications in Computer and Information Science, 2024 online
Simmering, J; Hermes, L; Schneider, A; Schilling, M Adaptation of a Decentralized Controller to Curve Walking in a Hexapod Robot. Robotics in Natural Settings, 2023, pp 264-275 online
El Amri, W.Z.; Hermes, L.; Schilling, M. Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent. Proc. of 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data ScienceLecture Notes in Computer Science, 2023 online
Schilling, M.; Cruse, H. neuroWalknet, a controller for hexapod walking allowing for context dependent behavior. PLoS Computational Biology Vol. 19 (1), 2023 online
Hermes, Luca; Liuliakov, Aleksei; Schilling, Malte Graph Learning by Dynamic Sampling. IJCNN 2023 Conference Proceedings, 2023 online
Current ProjectsTutor.AI Tutor.AI is a joint project of the Department of Philology, the REACH - Euregio Start-up Center and the start-up colloc.AI. Tutor.AI is a learning assistant based on a language model published by REACH incub.ai on resources of the University of Münster. online
E-Mobilität für LKWs - Prädiktive KI Modelle online
E-Mailmalte dot schilling at uni-muenster dot de
Phone+49 251 83-33804
FAX+49 251 83-33755
Room203
Secretary   Sekretariat Wigger (Informatik)
Frau Clara Wigger
Telefon +49 251 83-38401
Fax +49 251 83-33755
Zimmer 713
AddressProf. Dr. Malte Schilling
Institut für Informatik
Fachbereich Mathematik und Informatik der Universität Münster
Einsteinstrasse 62
48149 Münster
Deutschland
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