Author

Giovanni Colavizza

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#artificial intelligence Preprint Sep 2026

Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)

We present EXYGEN (EXplore Your Graphs ENgine), a framework for knowledge graph (KG) understanding that enables conversational access to KGs at scale. We address two questions in sequence. First, how effectively can LLMs perform text-to-SPARQL generation given only automatically derived structured metadata and small gr...

Harshdeep Singh, Yu-Rui Zhu, Giovanni Colavizza et al. · 0 citations

Preprint Aug 2026

LegalPincite: Multi-level Legal Information Retrieval Dataset

A common task in legal Information Retrieval (IR) is to find relevant legal sources from case-law collections. While legal practice often requires pinpoint citations (pincites) to specific case paragraphs, most existing public legal IR datasets lack paragraph-level citation annotations. Yet, publicly available datasets...

Theresia Veronika Rampisela, Henrik Palmer Olsen, Giovanni Colavizza · 0 citations

#artificial intelligence Preprint Aug 2026

Text Restoration of Ancient Documents with Language Models

The results reveal that text restoration of missing text caused by physical lacunae in damaged ancient manuscripts using language models cannot be fully automated, but it can serve as a useful tool to assist paleographers in their work.

Shibingfeng Zhang, Edoardo Caraffa, Annafelicia Zuffrano et al. · 0 citations