5 citations · 6 across the 8 of their papers we have counts for
4 papers · 1 filter
Natural Language Questions as an Interface for Knowledge Graphs: QRAKEN Graph Distillation and Semantic Self-Healing
Remo Grillo, Lukas Klic, Giovanni Colavizza
Natural-language access to RDF knowledge graphs is a core Semantic Web ambition. Large language models (LLMs) have advanced Text-to-SPARQL, yet on unfamiliar graphs they often gene…
Text Restoration of Ancient Documents with Language Models
Shibingfeng Zhang, Edoardo Caraffa, Annafelicia Zuffrano +2
Purpose - This study investigates the feasibility of restoring missing text caused by physical lacunae in damaged ancient manuscripts using language models. Methodology - The study…
EduArt: An educational-level benchmark for evaluating art history knowledge in large language models
Gianmarco Spinaci, Lukas Klic, Giovanni Colavizza
Large language models now score near ceiling on general benchmarks, but these aggregate measures reveal little about how models behave within single disciplines. Existing art-focus…
Benchmarking Large Language Models on Reference Extraction and Parsing in the Social Sciences and Humanities
Yurui Zhu, Giovanni Colavizza, Matteo Romanello
Bibliographic reference extraction and parsing are foundational for citation indexing, linking, and downstream scholarly knowledge-graph construction. However, most established eva…