1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
cs.CV2024
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.CL2023★ 1 cited
You Only Forward Once: Prediction and Rationalization in A Single Forward Pass
Han Jiang, Junwen Duan, Zhe Qu +1
Unsupervised rationale extraction aims to extract concise and contiguous text snippets to support model predictions without any annotated rationale. Previous studies have used a tw…