Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification
Large language models rely on spurious features in clinical classification: swapping a single gender token in clinical notes alters gender-irrelevant diagnoses in up to 53.5% of cases.
By Fardin Ahsan Sakib, Ziwei Zhu, Ozlem UzunerarXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 19, 2026.
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