38 citations · 49 across the 7 of their papers we have counts for
5 papers · 1 filter
Ensembles of Large Language Models for Identifying EQ-5D Studies in PubMed Based on Their Abstracts
Zhyar Rzgar K. Rostam, Márta Péntek, János Tibor Czere +3
The rapid increase in scientific publications leads to the fact that manual study screening in systematic literature reviews (SLRs) is increasingly resource consuming, inefficient,…
EQ-5D Classification Using Biomedical Entity-Enriched Pre-trained Language Models and Multiple Instance Learning
Zhyar Rzgar K Rostam, Gábor Kertész
The EQ-5D (EuroQol 5-Dimensions) is a standardized instrument for the evaluation of health-related quality of life. In health economics, systematic literature reviews (SLRs) depend…
Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting
Zhyar Rzgar K Rostam, Gábor Kertész
Efficient text classification is essential for handling the increasing volume of academic publications. This study explores the use of pre-trained language models (PLMs), including…
Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study
Zhyar Rzgar K Rostam, Gábor Kertész
The exponential growth of online textual content across diverse domains has necessitated advanced methods for automated text classification. Large Language Models (LLMs) based on t…
Achieving Peak Performance for Large Language Models: A Systematic Review
Zhyar Rzgar K Rostam, Sándor Szénási, Gábor Kertész
In recent years, large language models (LLMs) have achieved remarkable success in natural language processing (NLP). LLMs require an extreme amount of parameters to attain high per…