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Unsupervised Post-Training of Foundation Models: A Survey

This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.24982v2 Announce Type: new 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 derived from…

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  1. 2026-08-27 04:00 · arXiv cs.CL
    Unsupervised Post-Training of Foundation Models: A Survey

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