most citedCan Large Language Models Help Experimental Design for Causal Discovery?

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cs.CL2026

Unsupervised Post-Training of Foundation Models: A Survey

Yijie Xu, Qianyi Cai, Huizai Yao +9

Foundation-model post-training usually relies on human labels, preference data, stronger teachers, or executable verifiers. We study Unsupervised Post-Training (UPT): update-bearin…