38 citations · 61 across the 4 of their papers we have counts for
4 papers
Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review
Zhyar Rzgar K. Rostam, Gábor Kertész
The exponential increase in scientific literature and online information necessitates efficient methods for extracting knowledge from textual data. Natural language processing (NLP…
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…