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DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
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Furthermore, by constraining models to replicate human thought processes, their performance is inherently capped by the human-provided exemplars, which prevents the exploration of superior, non-human-like reasoning pathways.
Unconstrained chain-of-thought from pure reinforcement learning can develop reasoning beyond human reasoning priors.
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- Earlier · https://arxiv.org/pdf/2501.12948
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