Music is frequently associated with the notion of language as both domains share several
similarities, including the ability for their content to be represented as sequences of symbols …

In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …

With the increasing demand for practical applications of Large Language Models (LLMs),
many attention-efficient models have been developed to balance performance and …

Accurate stock market predictions following earnings reports are crucial for investors.
Traditional methods, particularly classical machine learning models, struggle with these …

As Large Language Models (LLMs) advance in natural language processing, there is
growing interest in leveraging their capabilities to simplify software interactions. In this …

In this work, we systematically study music generation conditioned solely on the video. First,
we present a large-scale dataset comprising 360K video-music pairs, including various …

Large language models (LLMs) have demonstrated remarkable abilities in natural language
processing. However, their deployment on resource-constrained embedded devices …

This paper aims to address the challenge of sparse and missing data in recommendation
systems, a significant hurdle in the age of big data. Traditional imputation methods struggle …

Stock trading has always been a key economic indicator in modern society and a primary
source of profit for financial giants such as investment banks, quantitative trading firms, and …

Creativity has long been considered one of the most difficult aspect of human intelligence for
AI to mimic. However, the rise of Large Language Models (LLMs), like ChatGPT, has raised …