Reasoning language model

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Reasoning language models (RLMs) are large language models that have been further trained to solve multi-step reasoning tasks.^[1] These models perform better on logical, mathematical or programmatic tasks than traditional autoregressive LLMs, have the ability to backtrack, and employ test-time compute as an additional scaling axis beyond training examples, parameter count, and train-time compute.