Large language models (LLMs) have demonstrated impressive proficiency in information
retrieval, while they are prone to generating incorrect responses that conflict with reality, a …

Abstract The hype of Large Language Models manifests in disruptions, expectations or
concerns in scientific communities that have focused for a long time on design-oriented …

In this paper, we focus on the task of exploiting the capabilities of Large Language Models
(LLMs) to generate SPARQL Queries for answering natural questions over cultural …

Sourcing and identification of new manufacturing partners is crucial for manufacturing
system integrators to enhance agility and reduce risk through supply chain diversification in …

Large Language Models (LLMs) frequently lack domain-specific knowledge and even fine-
tuned models tend to hallucinate. Hence, more reliable models that can include external …

We present a user-centric validation of a teleneurology platform, assessing its effectiveness
in conveying screening information, facilitating user queries, and offering resources to …

Large Language Models (LLMs) employing Chain-of-Thought (CoT) prompting have
broadened the scope for improving multi-step reasoning capabilities. Usually, answer …

The formulation of analytical queries over Knowledge Graphs in RDF is a challenging task
that presupposes familiarity with the syntax of the corresponding query languages and the …

CIDOC-CRM is an event-based international standard for cultural documentation that has
been widely used for offering semantic interoperability in the Cultural Heritage (CH) domain …

ChatGPT is an innovative application of Large Language Models (LLMs) that produces
detailed and articulate responses across many domains of knowledge. However, it does not …