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Reasoning

Learning to Reason and Memorize with Self-Notes

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Learning to Reason and Memorize with Self-Notes
Paper summary

LLMs that deviate from input to explicitly "think" and memorize.

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Key points
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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