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Indiana University
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Attention-supervised finetuning reveals that model architecture significantly impacts the plausibility of explanations in media bias detection, challenging assumptions about scale and performance.
PL-HCL transforms the detection of inconsistencies in Agent Skills, boosting accuracy from 45% to nearly 90% and enhancing user trust in skill selection.