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

This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.25243v1 Announce Type: new Abstract: 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 ac…

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  1. 2026-08-27 04:00 · arXiv cs.CL
    From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection

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