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cs.LG2026
Shortcut Mitigation via Spurious-Positive Samples
Phuong Quynh Le, Jörg Schlötterer, Sari Sadiya +2
Shortcut mitigation strategies commonly rely on training data annotations, group-balanced held-out data or the presence of all groups, i.e., all combinations of (spurious) attribut…
cs.LG2026
One Mask to Rule Them All: On Hidden Facts after Editing and How to Find Them
Ali Holmov, Paul Youssef, Nandi Schoots +1
Knowledge editing methods such as ROME and MEMIT update factual associations in transformer models by modifying MLP weights. While evaluated mainly by output behavior, their intern…