The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM’s Internal States

Ridder, F.; Schilling, M. (2025)

In: (eds.), Proceedings of the AAAI 2025 Workshop on Preventing and Detecting LLM Misinformation (PDLM)AAAI 2025 Workshop on Preventing and Detecting LLM Misinformation, Philadelphia, United States. OpenReview.

Research article in digital collection (conference)

Modularity in Nervous Systems-a Key to Efficient Adaptivity for Deep Reinforcement Learning

Schilling, Malte; Hammer, Barbara; Ohl, Frank W.; Ritter, Helge J.; Wiskott, Laurenz (2024)

In: Cognitive Computation, 16(5).

Research article (journal)

Evaluating the Impact of Advanced LLM Techniques on AI Lecture Tutors for a Robotics Course

Kahl, S.; Löffler, F.; Maciol, M.; Ridder, F.; Schmitz, M.; Spanagel, J.; Wienkamp, J.; Burgahn, C.; Schilling, M. (2024)

In: Bellas, F; Fontenla-Romero, O (eds.), Communications in Computer and Information Science. Cham: .

Research article in edited proceedings (conference)

Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent

El Amri, W.Z.; Hermes, L.; Schilling, M. (2023)

In: G. Nicosia et al. (eds.), Proc. of 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science. Switzerland: .

Research article in edited proceedings (conference)

Graph Learning by Dynamic Sampling

Hermes, Luca; Liuliakov, Aleksei; Schilling, Malte (2023)

In: Verma, Brijesh; Kasabov, Nicola K. (eds.), IJCNN 2023 Conference Proceedings. Gold Coast: .

Research article in edited proceedings (conference)

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The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM’s Internal States Ridder, F.; Schilling, M. (2025) In: (eds.), Proceedings of the AAAI 2025 Workshop on Preventing and Detecting LLM Misinformation (PDLM)AAAI 2025 Workshop on Preventing and Detecting LLM Misinformation, Philadelphia, United States. OpenReview. Research article in digital collection (conference)
Linking meta-learning to meta-structure Schilling, Malte; Ritter, Helge J.; Ohl, Frank W. (2024) In: Behavioral and Brain Sciences, 47, e164. Research article (journal)
Modularity in Nervous Systems-a Key to Efficient Adaptivity for Deep Reinforcement Learning Schilling, Malte; Hammer, Barbara; Ohl, Frank W.; Ritter, Helge J.; Wiskott, Laurenz (2024) In: Cognitive Computation, 16(5). Research article (journal)
3D-printed Robust Ground Contact Sensors for Haptic Feedback using Functional Materials Hering, M.; Höving, S.; Schilling, M. (2024) In: Berns, K.; Tokhi, M.O.; Rönnau, A.; Silva, M.F.; Dillmann, R. (eds.), Proceedings of the CLAWAR 2024 Conference (Vol. 2). Cham: . Research article in edited proceedings (conference)
Evaluating the Impact of Advanced LLM Techniques on AI Lecture Tutors for a Robotics Course Kahl, S.; Löffler, F.; Maciol, M.; Ridder, F.; Schmitz, M.; Spanagel, J.; Wienkamp, J.; Burgahn, C.; Schilling, M. (2024) In: Bellas, F; Fontenla-Romero, O (eds.), Communications in Computer and Information Science. Cham: . Research article in edited proceedings (conference)
Adaptation of a Decentralized Controller to Curve Walking in a Hexapod Robot Simmering, J; Hermes, L; Schneider, A; Schilling, M (2023) In: Cascalho JM; Tokhi MO; Silva MF; Mendes A; Goher K; Funk M (eds.), Robotics in Natural Settings. Cham: . Research article in edited proceedings (conference)
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent El Amri, W.Z.; Hermes, L.; Schilling, M. (2023) In: G. Nicosia et al. (eds.), Proc. of 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science. Switzerland: . Research article in edited proceedings (conference)
neuroWalknet, a controller for hexapod walking allowing for context dependent behavior Schilling, M.; Cruse, H. (2023) In: PLoS Computational Biology, 19(1), e1010136. Research article (journal)
Graph Learning by Dynamic Sampling Hermes, Luca; Liuliakov, Aleksei; Schilling, Malte (2023) In: Verma, Brijesh; Kasabov, Nicola K. (eds.), IJCNN 2023 Conference Proceedings. Gold Coast: . Research article in edited proceedings (conference)
ABC-GAN: Spatially Constrained Counterfactual Generation for Image Classification Explanations Mindlin, Dimitry; Schilling, Malte; Cimiano, Philipp (2023) In: Longo, Luca (eds.), Explainable Artificial Intelligence. Lissabon: . Research article in edited proceedings (conference)