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University of T眉bingen
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Steering interventions reveal that embedding adjustments neutralize gender bias, while attention modifications can strategically shift it, highlighting the complexity of relevance signals in retrieval models.
Token-overlap and embedding-based metrics can't tell the difference between correct and contradictory statements, but MATCHA can, boosting accuracy by over 20% on TruthfulQA.
