RING: Retrieval-Internalized Generation for Continual Large-Scale Knowledge Injection
RING (Retrieval-Internalized Generation), a holistic paradigm spanning both architecture and training that injects large-scale external knowledge into aixture-of-Memory Experts and learns parametric search over this internal memory via reinforcement learning, removing the external retriever entirely, is proposed.