The burgeoning field of Large Language Models (LLMs), exemplified by sophisticated
models like OpenAI's ChatGPT, represents a significant advancement in artificial …

Transformers have dominated empirical machine learning models of natural language
processing. In this paper, we introduce basic concepts of Transformers and present key …

In the field of natural language processing, artificial intelligence (AI) technology has been
utilized to solve various problems, such as text classification, similarity measurement …

Transformer models have achieved state-of-the-art performance across a wide range of
machine learning tasks. There is growing interest in training transformers on resource …

This paper studies how to recover parameters in diagonal Gaussian mixture models using
tensors. High-order moments of the Gaussian mixture model are estimated from samples …

Deep neural networks have demonstrated significant achievements across various fields,
yet their memory and time complexities present obstacles for implementing them on …