04:00
2026-07-21
arxiv.org
artificial-intelligence
Symbolic Augmentation Closes a Canonical-Equivalence Blind Spot in Neural Fact-Checkers
A new study from arXiv introduces Symbolic Augmentation, a training-time framework that generates label-preserving augmented data to fix a structural blind spot in neural fact-checkers: their accuracy…