---
title: "Who cites State of the Art in Text — 2 citing papers"
description: "2 papers of the Elamur Research library cite «State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?»…"
canonical: "https://research.elamur.ai/free/en/papers/pungersek-2026-state-art-text-classification-south/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [State of the Art in Text Classification for South…](https://md.research.elamur.ai/free/en/papers/pungersek-2026-state-art-text-classification-south/) / cited by

# Who cites «State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?»

2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?»](https://md.research.elamur.ai/free/en/papers/pungersek-2026-state-art-text-classification-south/)

1. **[Supercharging Agenda Setting Research: The ParlaCAP Dataset of 28 European Parliaments and a Scalable Multilingual LLM-Based Classification](https://md.research.elamur.ai/free/en/papers/pungersek-2026-supercharging-agenda-setting-research-parlacap/) [Workshop on Natural Language Processing for Political Sciences](https://md.research.elamur.ai/free/en/venues/politicalnlp/)**Taja Kuzman Pungeršek, Peter Rupnik, Daniela Širinić, et al.*2026 · 1 citation*
2. **[A Comparative Study of Multilingual Fine-tuning and Prompting for Automatic Text Readability Classification in Galician](https://md.research.elamur.ai/free/en/papers/rey-2026-comparative-study-multilingual-fine-tuning/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Sandra Rodríguez Rey, Marcos Garcia*2026*
- [← back to](https://md.research.elamur.ai/free/en/papers/pungersek-2026-state-art-text-classification-south/) — State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?