MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation 事件

MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation arXiv:2605.31010v1 Announce Type: new Abstract: Retrieval-augmented generation is intensively studied to ground large language models on external evidence. However, retrieving from a unified knowledge base could inevitably introduce irrelevant information that may mislead generation for complex reasoning. Inspired by the conditional computation of mixture of experts (MoE), where a router sparsely selects specialized experts