The Recent Large Language Models in NLP

Ngoc Tran Khanh Le, Nadia Hadiprodjo, Hazem El-Alfy, Aziz Kerimzhanov, Avtandil Teshebaev · 2023

Over the past few years, Natural Language Processing (NLP) has evolved significantly thanks to the development of large Language Models (LMs). In this paper, we present a survey of four recent language models that we believe have had a significant importance in the NLP field lately: BERT (Google), ELMo (Allen Institute), GPT-3 (OpenAI), and LLaMA (Meta AI). For each model, we analyse its architecture, the dataset on which it was trained, its performance evaluation, as well as the strengths and challenges faced by each. Our paper compares the recent Language Models and their contributions to the field of NLP, and discusses future extensions.

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