2 citations · 2 across the 5 of their papers we have counts for
5 papers
GRISP: Guided Recurrent IRI Selection over SPARQL Skeletons
Sebastian Walter, Hannah Bast
We present GRISP (Guided Recurrent IRI Selection over SPARQL Skeletons), a novel SPARQL-based question-answering method over knowledge graphs using a fine-tuned small language mode…
Learning to Read Where to Look: Disease-Aware Vision-Language Pretraining for 3D CT
Simon Ging, Philipp Arnold, Sebastian Walter +6
Recent 3D CT vision-language models align volumes with reports via contrastive pretraining, but typically rely on limited public data and provide only coarse global supervision. We…
The Wikidata Query Logs Dataset
Sebastian Walter, Hannah Bast
We present the Wikidata Query Logs (WDQL) dataset, a dataset consisting of 335k question-query pairs over the Wikidata knowledge graph. It is over 11x larger than the largest exist…
GRASP: Generic Reasoning And SPARQL Generation across Knowledge Graphs
Sebastian Walter, Hannah Bast
We propose a new approach for generating SPARQL queries on RDF knowledge graphs from natural language questions or keyword queries, using a large language model. Our approach does…
Using Knowledge Graphs to harvest datasets for efficient CLIP model training
Simon Ging, Sebastian Walter, Jelena Bratulić +3
Training high-quality CLIP models typically requires enormous datasets, which limits the development of domain-specific models -- especially in areas that even the largest CLIP mod…