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Consolidating Rewarded Perturbations for LLM Post-Training
把后训练循环从样本空间移到权重空间，用高斯扰动采样+奖励排序集成专家，开辟LLM微调新范式。
arXiv:2605.31494v1 Announce Type: cross Abstract: Post-training of language models is commonly framed as a sample-score-update loop implemented by gra…