The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …

In the rapidly evolving landscape of artificial intelligence multi-modal large language models
are emerging as a significant area of interest. These models which combine various forms of …

Generating recommendation reasons for recommendation results is a long-standing
problem because it is challenging to explain the underlying reasons for recommending an …

In the rapidly evolving landscape of artificial intelligence, multi-modal large language
models are emerging as a significant area of interest. These models, which combine various …

In the contemporary landscape of the web, text-to-image generation stands out as a crucial
information service. Recently, deep learning has emerged as the cutting-edge methodology …

Recommender systems play crucial roles in addressing the issue of information overload,
but traditional centralized storage in recommendation poses significant privacy concerns. In …

The visual projector, which bridges the vision and language modalities and facilitates cross-
modal alignment, serves as a crucial component in MLLMs. However, measuring the …

Multimodal recommendation systems have made significant progress by leveraging graph
convolutional networks to integrate user behavior with item content, including images and …