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Róbert Belanec
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2020 – today
- 2026
[i6]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. CoRR abs/2601.16278 (2026)- 2025
[c2]Róbert Belanec, Simon Ostermann, Ivan Srba, Mária Bieliková:
Task Prompt Vectors: Effective Initialization Through Multi-task Soft Prompt Transfer. ECML/PKDD (8) 2025: 77-94
[i5]Róbert Belanec, Branislav Pecher, Ivan Srba, Mária Bieliková:
PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark. CoRR abs/2511.21285 (2025)
[i4]Róbert Belanec, Ivan Srba, Mária Bieliková:
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models. CoRR abs/2512.02764 (2025)- 2024
[c1]Branislav Pecher
, Ján Cegin
, Róbert Belanec
, Jakub Simko, Ivan Srba, Mária Bieliková:
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation. EMNLP (Findings) 2024: 11005-11044
[i3]Branislav Pecher, Ján Cegin
, Róbert Belanec, Jakub Simko, Ivan Srba, Mária Bieliková:
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation. CoRR abs/2406.12471 (2024)
[i2]Róbert Belanec
, Simon Ostermann
, Ivan Srba, Mária Bieliková:
Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer. CoRR abs/2408.01119 (2024)- 2023
[i1]Róbert Belanec, Peter Lacko, Kristína Malinovská:
Controlling the Output of a Generative Model by Latent Feature Vector Shifting. CoRR abs/2311.08850 (2023)
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