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RL特训出「押题大师」?破解模型微调中的多样性危机与灾难性遗忘
RL之后,大模型为什么更容易「越训越单一」?面对五花八门的改进思路,也许答案并不复杂:先试着改一改KL项。 近年来,基于可验证奖励的强化学习(Reinforcement Learning with Verifiable Reward, ...
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