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Chunk-Level Parametric Memory Lets LLMs Learn Without Forgetting

Paper · Deep Fusion Memory: A Chunk-Level Parametric Memory for Large Language Models

What is Deep Fusion Memory: A Chunk-Level Parametric Memory for Large Language Models?

Deep Fusion Memory adds a trainable chunk‑level store that LLMs can write to and read from during inference, sidestepping costly external retrieval. The memory updates with new data while preserving what the model already knows.

Who it is for

If you build LLM‑driven assistants that need fresh facts without retraining, you can plug in this memory to keep answers up‑to‑date.

The numbers

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