Unraveling the landscape of large language models: a systematic review and future perspectives

Q Ding, D Ding, Y Wang, C Guan… - Journal of Electronic …, 2023 - emerald.com
Purpose The rapid rise of large language models (LLMs) has propelled them to the forefront
of applications in natural language processing (NLP). This paper aims to present a …

Research on statistical machine translation model based on deep neural network

Y Xia - Computing, 2020 - Springer
With the increase of translation demand, the advancement of information technology, the
development of linguistic theories and the progress of natural language understanding …

[PDF][PDF] EXPLORING COMPRESSION STRATEGIES FOR LARGE LANGUAGE MODELS TOWARDS EFFICIENT ARTIFICIAL INTELLIGENCE IMPLEMENTATIONS

DM Petroşanu, A Pîrjan - Journal of Information Systems & Operations …, 2024 - rau.ro
The rapid advancements of Artificial Intelligence (AI) technologies, particularly Large
Language Models (LLMs), have brought and accelerated significant innovations across …

Dynamic model of language propagation in English translation based on differential equations

W Wei - Mathematical Problems in Engineering, 2022 - Wiley Online Library
English is the most widely used language in the world, and at the same time, English
translation is becoming increasingly important. However, the traditional English translation …

[Retracted] Adaptive Language Processing Based on Deep Learning in Cloud Computing Platform

W Xu, C Yin - Complexity, 2020 - Wiley Online Library
With the continuous advancement of technology, the amount of information and knowledge
disseminated on the Internet every day has been developing several times. At the same …

[PDF][PDF] A Corpus-based Study on the Effectiveness Model of Chinese Cultural Translation

C Chen - 2019 - webofproceedings.org
In recent years, with the development of the times, the development of the Internet has
gradually realized the cultural exchange among different countries. The implementation of …