Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification

Branislav Pecher, Ján Cegin, Róbert Belanec, Ivan Srba, Jakub Simko, Mária Bieliková. Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification. In Vera Demberg, Kentaro Inui, Lluís Marquez, editors, Findings of the Association for Computational Linguistics: EACL 2026, Rabat, Morocco, March 24-29, 2026. pages 2840-2857, Association for Computational Linguistics, 2026. [doi]

@inproceedings{PecherCBSSB26,
  title = {Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification},
  author = {Branislav Pecher and Ján Cegin and Róbert Belanec and Ivan Srba and Jakub Simko and Mária Bieliková},
  year = {2026},
  url = {https://aclanthology.org/2026.findings-eacl.148/},
  researchr = {https://researchr.org/publication/PecherCBSSB26},
  cites = {0},
  citedby = {0},
  pages = {2840-2857},
  booktitle = {Findings of the Association for Computational Linguistics: EACL 2026, Rabat, Morocco, March 24-29, 2026},
  editor = {Vera Demberg and Kentaro Inui and Lluís Marquez},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-386-9},
}