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Kirichenko et al.
Kirichenko et al.
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New UNMASK pipeline automatically finds and fixes spurious correlations in text classifiers
Researchers have developed UNMASK, an automated pipeline designed to identify and verify spurious correlations in text classifiers. This system discovers potential surface patterns that models exploit without true lingu…
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New UNMASK system automatically finds and fixes spurious correlations in text classifiers
A new research paper introduces UNMASK, an automated pipeline designed to identify and correct spurious correlations in text classifiers. This system uses causal verification and group-based reweighting to address issue…