Research

Train for Many, Update with One: Improving Multi-Sample Reasoning via Fenchel-Bregman Posterior Learning

Single source1 source14 Oct 2026

arXiv:2610.17735v1 Announce Type: cross Abstract: Multi-sample reasoning measures candidate coverage, the probability that at least one of $K$ candidates is correct.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.17735

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