Learning to Reason and Memorize with Self-Notes
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The curator’s take
Key pointsLLMs that deviate from input to explicitly "think" and memorize.
01
Self-note generation: The model can pause processing input and generate explicit reasoning or memory notes in-stream.
02
On-the-fly recall: Enables the LM to recall past information and perform reasoning when needed, not just in dedicated thinking phases.
03
Length generalization: Scales better to longer sequences unseen during training than plain reasoning approaches.
04
Scratchpad precursor: An intellectual precursor to 2024's reasoning models like o1 that produce long internal thinking traces.
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