Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …

Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

Ever since the Turing Test was proposed in the 1950s, humans have explored the mastering
of language intelligence by machine. Language is essentially a complex, intricate system of …

Large Language Models (LLMs), like ChatGPT, have demonstrated vast potential but also
introduce challenges related to content constraints and potential misuse. Our study …

We introduce MADLAD-400, a manually audited, general domain 3T token monolingual
dataset based on CommonCrawl, spanning 419 languages. We discuss the limitations …

Temporal data, notably time series and spatio-temporal data, are prevalent in real-world
applications. They capture dynamic system measurements and are produced in vast …

Large language models (LLMs) that have been trained on multilingual but not parallel text
exhibit a remarkable ability to translate between languages. We probe this ability in an in …

Large language models (LLMs) have demonstrated impressive capabilities in general
scenarios, exhibiting a level of aptitude that approaches, in some aspects even surpasses …

This study presents a thorough examination of various Generative Pretrained Transformer
(GPT) methodologies in sentiment analysis, specifically in the context of Task 4 on the …

This paper studies recent developments in large language models'(LLM) abilities to pass
assessments in introductory and intermediate Python programming courses at the …