2 papers
cs.CV2025
Object Retrieval for Visual Question Answering with Outside Knowledge
Shichao Kan, Yuhai Deng, Jiale Fu +5
Retrieval-augmented generation (RAG) with large language models (LLMs) plays a crucial role in question answering, as LLMs possess limited knowledge and are not updated with contin…
cs.AI2024
FedGCA: Global Consistent Augmentation Based Single-Source Federated Domain Generalization
Yuan Liu, Shu Wang, Zhe Qu +3
Federated Domain Generalization (FedDG) aims to train the global model for generalization ability to unseen domains with multi-domain training samples. However, clients in federate…