BCT: Bayes-Consistent Tempering for Flow Language Models.

arXiv:2610.27641v1 Announce Type: cross Abstract: Temperature scaling is typically applied as a post-hoc transformation of model probabilities. In posterior-induced flow language models, this creates two mismatches. First, posterior tempering implicitly change