Retrieval Information

Retrieval information focuses on enhancing information access and generation by incorporating retrieved data into various models. Current research emphasizes improving the integration of retrieved information with generative models, such as diffusion models and large language models, often addressing challenges like maintaining coherence in generated outputs and bridging semantic gaps between retrieval and generation components. This area is significant for advancing applications ranging from image generation and fine-grained image retrieval to personalized recommendations and historical document analysis, improving both the efficiency and accuracy of these systems.