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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksArts and Humanities · 4 worksComputer Science · 4 worksLanguage and Linguistics · 4 worksGeneral Social Sciences · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workMultilingual & cross-lingual NLP · 2 worksSpeech & spoken language · 1 work
Works by year
2020s
Papers
- 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. - 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. - 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… - 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
Venues
- Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC ×2: Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC 2026 ×2
- Language Resources and Evaluation Conference (LREC): LREC 2026
- Workshop on Natural Language Processing for Political Sciences: Workshop on Natural Language Processing for Political Sciences 2026
Cited by
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