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9 个月
UFT:统一监督式和强化式微调,打破大语言模型学习与思考的隔阂
大语言模型(LLMs)在完成训练后,经常需要进一步的"后训练"阶段来增强其推理能力。麻省理工学院电气工程与计算机科学系(EECS)LIDS实验室的研究团队Mingyang Liu、Gabriele Farina和Asuman Ozdaglar在2025年5月22日发表于arXiv(arXiv:2505.16984v1)的论文中,提出了一种创新 ...
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