scaling-latent-reasoning

【效率与协作】Scales reasoning depth through internal iteration rather than explicit generation. Ouro models perform repeated computation in latent space with entropy-regularized objectives enabling learned depth allocation. Smaller 1.4B model matches 12B standard models through improved knowledge manipulation.

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