Unsupervised and efficient — our latest work exposes and mitigates shortcut learning!

We introduce an unsupervised framework to detect and mitigate shortcut learning in transformers. The method improves both worst-group and average accuracy while reducing annotation effort, offering interpretable insights for experts and running efficiently on consumer hardware.