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Rethinking the Divergence Regularization in LLM RL
重新审视LLM RL中的散度正则化，提出改进方案，提升模型对齐效率
arXiv:2606.09821v1 Announce Type: new Abstract: Reinforcement learning (RL) has become a key component of post-training large language models (LLMs). …
重新审视LLM RL中的散度正则化，提出改进方案，提升模型对齐效率
arXiv:2606.09821v1 Announce Type: new Abstract: Reinforcement learning (RL) has become a key component of post-training large language models (LLMs). …