论文研究 arXiv cs.LG Thu, 27 Aug 2026 正文 thin 4 words

Demystifying Reinforcement Learning Post-Training of Language Models

英文标题:Demystifying Reinforcement Learning Post-Training of Language Models

arXiv:2608.24949v1 Announce Type: new Abstract: Reinforcement learning (RL) post-training has emerged as a powerful framework for enhancing the capabilities of large language models (LLMs), enabling impressive reasoning, math, and coding capabilities. Yet for many researchers and practitioners, the
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arXiv:2608.24949v1 Announce Type: new Abstract: Reinforcement learning (RL) post-training has emerged as a powerful framework for enhancing the capabilities of large language models (LLMs), enabling impressive reasoning, math, and coding capabilities. Yet for many researchers and practitioners, the

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