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Fabio Barth

Fabio Barth has 2 papers in our library, in 2026, most of them on Multilingual & cross-lingual NLP, Language models & pretraining, Knowledge graphs & ontologies; often with Georg Rehm.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 5 · 23 works · 978 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,326 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11976

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

🔬German Research Centre for Artificial IntelligenceKaiserslautern · Germany2024–2026 · 8 papersEmployment since 2024 · Researchercurrent🎓Humboldt-Universität zu BerlinBerlin · Germany2022–2023 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 2 worksEnglish · 1 workKnowledge graphs & ontologies · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. PolyglotQL: A Pipeline for Multilingual Text-to-SPARQL Dataset Generation (2026)
    Work on turning natural-language questions into SPARQL relies on scattered benchmarks. They differ in file format, target knowledge graph and language, and few systems publish reusable multilingual tooling. The authors built PolyglotQL, an open-source ETL toolkit that collects existing QA-over-KG resources (the QALD…
  2. Transferring Scientific English Pre-Trained Language Models to Multiple Languages Using Cross-Lingual Transfer (2026)
    Scientific writing is overwhelmingly in English, so even large languages such as German or Japanese have little scientific training text.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
  2. Occiglot at WMT24: European Open-source Large Language Models Evaluated on Translation ↗Proceedings of the Ninth Conference on Machine Translation · no summary yetEleftherios Avramidis et al.2024 · 6 citations
  3. PolyglotQL: A Pipeline for Multilingual Text-to-SPARQL Dataset GenerationLanguage Resources and Evaluation Conference (LREC)Julio Perez, Fabio Barth, Georg Rehm2026
  4. Transferring Scientific English Pre-Trained Language Models to Multiple Languages Using Cross-Lingual TransferNatural Scientific Language Processing (NSLP) @ LRECNikolas Rauscher, Fabio Barth, Georg Rehm2026

 Co-authors here

1 co-author 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 1,326 times (of the 149,439 papers whose bibliographies we read); 289 citing papers with a page here →.

Updated

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