SOURCE-LINKED INTELLIGENCE

From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection

arXiv · AI, language, vision and robotics · article · Aug 26, 2026 · UTC

Continual knowledge injection is essential for keeping large language models up-to-date in a fast-evolving world. Existing methods rely on supervised fine-tuning (SFT), which memorizes injected facts in their training format but fails to generalize across paraphrasing, document combinations, and reasoning. To address this, we propose Golden-GRPO Injection (GRIN), a three-stage self-learning framework for continual knowledge injection. Golden-GRPO is a mixed-policy reinforcement learning algorithm designed specifically for knowledge injection, which injects a golden answer to provide learning s

Read original source ↗ Open in workspace

recordType

paper

region

Global