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Angelo Ziletti

Angelo Ziletti has 2 papers in our library, in 2026, most of them on Language models & pretraining, Knowledge graphs & ontologies, Code & programming languages; often with Daniel Steinigen, Nicolas Flores-Herr, Roman Teucher.

2 papers in our library · 2026

OpenAlex · h-index 7 · 13 works · 1,941 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11965

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Boston UniversityBoston · United States2014–2015 · 7 paperscurrent🏢BayerLeverkusen · Germany2021–2026 · 13 papers🔬Fritz Haber Institute of the Max Planck SocietyBerlin · Germany2017–2021 · 9 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 4Research subjects and languages the work is about.Knowledge graphs & ontologies · 1 workLanguage models & pretraining · 1 workCode & programming languages · 1 workSemantic parsing & meaning representation · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs (2026 · 4 citations)
    LLMs often lack specialised domain knowledge and may hallucinate or give incomplete answers. This is a serious problem in life sciences tasks such as drug target identification. The authors present FactFinder, a question-answering system that grounds LLM output in a medical knowledge graph. It uses PrimeKG, stored in…
  2. Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study (2026)
    When an LLM translates clinical questions into SQL over EHR or claims databases, varied outputs can mean two different things.

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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