27 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Brno University of TechnologyCZ7 papers
- Al-Mustaqbal University1 paper
- Alsalam University CollegeIQ1 paper
- Baghdad Medical CityIQ1 paper
- European School of MaterialsDE1 paper
- German Research Centre for Artificial IntelligenceDE1 paper
- Kempelen Institute of Intelligent Technologies1 paper
- MIT Lincoln LaboratoryUS1 paper
- Pennsylvania State UniversityUS1 paper
- University of BabylonIQ1 paper
- University of PittsburghUS1 paper
Showing 2025 · cs.CLShow all
2 papers · 2 filters
cs.CL2025★ 1 cited
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models
Robert Belanec, Ivan Srba, Maria Bielikova
Parameter-Efficient Fine-Tuning (PEFT) methods address the increasing size of Large Language Models (LLMs). Currently, many newly introduced PEFT methods are challenging to replica…
cs.CL2025★ 1 cited
PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
Robert Belanec, Branislav Pecher, Ivan Srba +1
Despite the state-of-the-art performance of Large Language Models (LLMs) achieved on many tasks, their massive scale often leads to high computational and environmental costs, limi…