91 citations
- L3S Research CenterDE40 papers
- Leibniz University HannoverDE34 papers
- University of BonnDE8 papers
- FIZ Karlsruhe – Leibniz Institute for Information InfrastructureDE3 papers
- Heidelberg UniversityDE3 papers
- Institut Mihajlo PupinRS3 papers
- Universidad Politécnica de MadridES3 papers
- University of BelgradeRS3 papers
- Fraunhofer Institute for Intelligent Analysis and Information SystemsDE2 papers
- Leibniz-Institut für WissensmedienDE2 papers
- National and Kapodistrian University of AthensGR2 papers
- Technische Universität BraunschweigDE2 papers
82 papers
A Pathway to General-Purpose Scientific AI: Multimodal Comprehension of Scientific Images
Jennifer D'Souza, Fahad Ahmed, Cecilia Andrea Bustamante Andrade +9
Scientific figures and tables encode essential experimental evidence, yet remain difficult for digital libraries and multimodal AI systems to retrieve and interpret. The ALD/E-Imag…
SciKGDash: The Scientific Knowledge Graph Dashboard for Supporting Knowledge Curation
Lena John, Sören Auer, Oliver Karras
Research knowledge graphs (RKGs) have emerged as essential technology for organizing scientific knowledge, but their success depends heavily on the quality of their underlying cont…
Introducing ORKG ASK: an AI-driven Scholarly Literature Search and Exploration System Taking a Neuro-Symbolic Approach
Allard Oelen, Mohamad Yaser Jaradeh, Sören Auer
As the volume of published scholarly literature continues to grow, finding relevant literature becomes increasingly difficult. With the rise of generative Artificial Intelligence (…
SciCom Wiki: A Digital Library to Support the Science Communication Knowledge Infrastructure for Videos and Podcasts
Tim Wittenborg, Niklas Stehr, Oliver Karras +1
Videos and Podcasts have established themselves as the medium of choice for civic dissemination, but also as carriers of misinformation. The emerging Science Communication Knowledg…
Toward Purpose-oriented Topic Model Evaluation enabled by Large Language Models
Zhiyin Tan, Jennifer D'Souza
This study presents a framework for automated evaluation of dynamically evolving topic models using Large Language Models (LLMs). Topic modeling is essential for organizing and ret…
ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation
Riccardo Pozzi, Matteo Palmonari, Andrea Coletta +3
Knowledge gaps and hallucinations are persistent challenges for Large Language Models (LLMs), which generate unreliable responses when lacking the necessary information to fulfill…