arxiv
PublishedJuly 21, 2026 at 4:00 AM
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Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making
Publisher summary· verbatim
arXiv:2602.07008v4 Announce Type: replace-cross Abstract: Reliable models should not only predict correctly, but also justify decisions with acceptable evidence. Yet conventional supervised learning typically provides only class-level labels, allowing models to achieve high accuracy through shortcut
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Originally published on arxiv ↗