【第196期】递归深度Test-Time Compute
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Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Summary
This paper introduces a novel language model architecture that enhances reasoning by iteratively processing information in a latent space rather than solely generating more tokens. This "recurrent depth" approach allows the model to increase its computational effort at test time without needing specialized training data or long context windows, potentially capturing nuanced reasoning. The authors scaled…
The skinny
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