作者位次 #5/6SIGIR 2026Oral· Information Retrieval (Full)
FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters
Zhilin Liang · Yuxiang Wang · Zimu Zhou · Hainan Zhang · Boyi Liu · Yongxin Tong
摘要
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by grounding generation in external knowledge to improve factuality and reduce hallucinations. Yet most deployments assume a centralized corpus, which is infeasible in privacy-aware domains where knowledge remains siloed....