Rethinking business process simulation: A utility-based evaluation framework
Evaluating knowledge generation and self-refinement strategies for LLM-based column type annotation
How AI communication capabilities affect developer productivity in AI pair programming: Insights from a large software development organization
Die „KI-getriebene“ Berufsbildung : von der Vision zur Realität
Entity matching using large language models
ExtractGPT: Exploring the potential of Large Language Models for product attribute value extraction
SnapE – training snapshot ensembles of link prediction models
Do LLMs really adapt to domains? An ontology learning perspective
Improving feature stability during upsampling : spectral artifacts and the importance of spatial context
I spy with my little eye a minimum cost multicut investigation of dataset frames
MimIrADe: Automatic Differentiation in MimIR
eScriptorium meets LLMs: Moderne KI-Systeme im Kontext der Volltexterschließung
Peeling back the layers: An in-depth evaluation of encoder architectures in neural news recommenders
Column property annotation using large language models
Mitigating information loss in tree-based reinforcement learning via direct optimization
Decision trees that remember: Gradient-based learning of recurrent decision trees with memory
News without borders: Domain adaptation of multilingual sentence embeddings for cross-lingual news recommendation
Preventing harmful data practices by using participatory input to navigate the machine learning multiverse
Closing the loop between user stories and GUI prototypes: an LLM-based assistant for cross-functional integration in software development
Towards democratized machine learning: a semantic web approach