Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics

概要

arXiv:2605.05097v2 Announce Type: replace-cross Abstract: LLMs are trained once, then deployed into a world that never stops changing. External memory compensates for this, but most systems manage it explicitly rather than letting it adapt on its own. Biological memory works differently: coupled mu…