11 citations · 14 across the 4 of their papers we have counts for
4 papers · 1 filter
Ontology-Grounded, Reasoner-Verified Benchmarks for Evaluating LLM Reasoning in Scientific AI
Nishtha N. Vaidya, Stephan Grimm, Thomas Hubauer +1
Large language models (LLMs) increasingly underpin scientific AI applications that reason over structured knowledge, from biomedical question answering to materials informatics. Ho…
A Reference Model for Common Understanding of Capabilities and Skills in Manufacturing
Aljosha Köcher, Alexander Belyaev, Jesko Hermann +7
In manufacturing, many use cases of Industry 4.0 require vendor-neutral and machine-readable information models to describe, implement and execute resource functions. Such models h…
Combining Sub-Symbolic and Symbolic Methods for Explainability
Anna Himmelhuber, Stephan Grimm, Sonja Zillner +3
Similarly to other connectionist models, Graph Neural Networks (GNNs) lack transparency in their decision-making. A number of sub-symbolic approaches have been developed to provide…
Ontology-Based Skill Description Learning for Flexible Production Systems
Anna Himmelhuber, Stephan Grimm, Thomas Runkler +1
The increasing importance of resource-efficient production entails that manufacturing companies have to create a more dynamic production environment, with flexible manufacturing ma…