Elamur Research⌕
☰
home / authors / Taja Kuzman Pungeršek

Taja Kuzman Pungeršek

Taja Kuzman Pungeršek has 4 papers in our library, in 2026, most of them on Multilingual & cross-lingual NLP, Language models & pretraining, Speech & spoken language; often with Nikola Ljubešić, Peter Rupnik, Ivan Porupski.

4 papers in our library · 2026

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

📄 4 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #11911

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

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting? (2026 · 2 citations)
    The paper asks whether zero-shot prompting of instruction-tuned LLMs has overtaken fine-tuned BERT-like encoders as the best-performing approach to classifying texts written in South Slavic languages, which have received little evaluation so far.
  2. ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbian (2026 · 1 citation)
    Spoken corpora are much rarer than written ones, and Slavic spoken resources are especially small and hard to work with.
  3. Supercharging Agenda Setting Research: The ParlaCAP Dataset of 28 European Parliaments and a Scalable Multilingual LLM-Based Classification (2026 · 1 citation)
    Comparing how European parliaments divide their attention across policy areas has been difficult. Manual coding under the Comparative Agendas Project (CAP) scheme is slow, and existing resources cover few countries and short periods. The authors address this with ParlaCAP, a resource built on the ParlaMint corpora…
  4. Charting the European LLM Benchmarking Landscape: A New Taxonomy and Registry (2026)
    Evaluation of large language models is still heavily English-centric. The common workaround is machine-translating English benchmarks, but this carries over Western cultural assumptions and misses phenomena specific to individual languages. Native single-language suites avoid that problem but rarely allow…

 Co-authors here

3 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 3 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/taja-kuzman-pungersek/