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papersTODAY 04:00 UTC

arXiv Paper Probes Dataset Biases Behind Phantom Transfer

A new preprint on arXiv studies why a teacher model's bias can still pass to a student model even when the training data has had all overt mentions of that bias removed. The authors report that no data-level defense tested so far reliably detects or eliminates this residual, or "phantom," transfer. The work frames the phenomenon as a dataset-level problem rooted in subtle statistical traces rather than explicit labels.

arXiv bias-mitigation data-level-defense dataset-bias knowledge distillation phantom-transfer

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGTowards Identifying the Dataset Biases Causing Phantom Transfer ↗TODAY 04:00 UTC