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Mitigating the Length-Scaling Tax with Online Distillation

Wan, Xu et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Length scaling during reinforcement-learning (RL) post-training is often viewed as a sign of improved reasoning ability, especially on difficult problems, but may also make responses to already-solved problems unnecessarily verbose. We quantify this side effect as the length-scaling tax (LST): exces
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