Publikační výsledky
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2026
BELANEC, R.; PECHER, B.; SRBA, I.; BIELIKOVÁ, M. PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). Morocco: Association for Computational Linguistics, 2026.
p. 3035-3054. ISBN: 979-8-89176-380-7. DetailBELANEC, R.; SRBA, I.; BIELIKOVÁ, M. PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations). Morocco: Association for Computational Linguistics, 2026.
p. 188-202. ISBN: 979-8-89176-382-1. DetailPECHER, B.; ČEGIŇ, J.; BELANEC, R.; SRBA, I.; ŠIMKO, J.; BIELIKOVÁ, M. Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification. Findings of the Association for Computational Linguistics: EACL 2026. Morocco: Association for Computational Linguistics, 2026.
p. 2840-2857. ISBN: 979-8-89176-386-9. Detail -
2025
BELANEC, R.; OSTERMANN, S.; SRBA, I.; BIELIKOVÁ, M. Task Prompt Vectors: Effective Initialization through Multi-Task Soft Prompt Transfer. Springer, Berlin, Heidelberg, 2025.
p. 77-94. ISBN: 978-3-662-72242-8. Detail -
2024
PECHER, B.; ČEGIŇ, J.; BELANEC, R.; SRBA, I.; ŠIMKO, J.; BIELIKOVÁ, M. Fighting Randomness With Randomness: Mitigating Optimisation Instability of Fine-Tuning Using Ensemble and Noise Regularisation. Findings of the Association for Computational Linguistics: EMNLP 2024. Miami: Association for Computational Linguistics, 2024.
p. 11005-11044. ISBN: 979-8-8917-6168-1. Detail