Authors: Kennedy Edemacu, Xintao Wu
Published: 2025-04-18
DOI: 10.1145/3729219
Source: Full article
Pre-trained language models (PLMs) have demonstrated significant proficiency in solving a wide range of general natural language processing (NLP) tasks. Researchers have observed a direct correlation between the performance of these models and their sizes. As a result, the sizes of these models have notably expanded in recent years, persuading researchers to adopt the term