PMG : Personalized Multimodal Generation with Large Language Models

arXiv:2404.08677v1 Announce Type: cross
Abstract: The emergence of large language models (LLMs) has revolutionized the capabilities of text comprehension and generation. Multi-modal generation attracts great attention from both the industry and academia, but there is little work on personalized generation, which has important applications such as recommender systems. This paper proposes the first method for personalized multimodal generation using LLMs, showcases its applications and validates its performance via an extensive experimental study on two datasets. The proposed method, Personalized Multimodal …

abstract academia applications arxiv attention capabilities cs.ai cs.cl cs.ir emergence industry language language models large language large language models llms modal multi-modal multimodal paper personalized recommender systems systems text type work