arxiv
PublishedAugust 28, 2026 at 4:00 AM
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Unsupervised Post-Training of Foundation Models: A Survey
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arXiv:2608.24982v2 Announce Type: replace-cross Abstract: Foundation-model post-training usually relies on human labels, preference data, stronger teachers, or executable verifiers. We study Unsupervised Post-Training (UPT): update-bearing adaptation on unlabeled inputs whose learning signal is deri
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Originally published on arxiv ↗