Text Fusion

Text fusion integrates information from multiple textual sources or combines text with other modalities (e.g., images) to create a more comprehensive or coherent representation. Current research focuses on leveraging large language models and diffusion models for tasks like multilingual text translation within images, improving search query reformulation through ensemble prompting and relevance feedback, and enhancing recommendation systems by effectively fusing ID-based and text-based information. These advancements are improving various applications, including image editing, information retrieval, and recommendation systems, by enabling more nuanced and context-aware processing of information.