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Veton Matoshi

Veton Matoshi has 2 papers in our library, in 2023, most of them on Multilingual & cross-lingual NLP, Legal AI, Evaluation & benchmarks; often with Ilias Chalkidis, Joel Niklaus, Matthias Stürmer.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 4 · 28 works · 106 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 156 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6175

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

🎓Bern University of Applied SciencesBern · Switzerland2023–2026 · 9 paperscurrent🎓Baden-Wuerttemberg Cooperative State UniversityStuttgart · Germany2022–2026 · 2 paperscurrent

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksSocial Sciences · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksPolitical Science and International Relations · 2 worksLaw · 1 work

🧭 Topics 4Research subjects and languages the work is about.Legal AI · 2 worksMultilingual & cross-lingual NLP · 2 worksEvaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain (2023 · 123 citations)
    Legal NLP lacked a multilingual benchmark. Existing legal suites such as LexGLUE are English-only, and general benchmarks built on news or Wikipedia do not reflect legal text, with its specialized vocabulary, complex syntax and long documents. The authors reviewed legal NLP publications from 2010 to 2022 and…
  2. One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support (2023 · 29 citations)
    Strong LLMs have saturated many general NLP benchmarks, but legal and multilingual evaluation suites are still scarce, and most public models are trained mostly on English 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. LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal DomainFindings of the Association for Computational LinguisticsJoel Niklaus, Veton Matoshi, Pooja Rani, et al.2023 · 123 citations
  2. MultiLegalPile: A 689GB Multilingual Legal Corpus ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJoel Niklaus et al.2024 · 98 citations
  3. One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial SupportarXiv:2306.09237Ronja Stern, Vishvaksenan Rasiah, Veton Matoshi, et al.2023 · 29 citations
  4. Zero-Shot Award Criteria extraction via Large Language Models from German Procurement Data from Switzerland ↗Proceedings of the 9th edition of the Swiss Text Analytics Conference · no summary yetVeton Matoshi, Luca Rolshoven, Matthias Stürmer2024

 Co-authors here

5 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 156 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/veton-matoshi/