Gender sensitivity in dense retrieval models originates in input embeddings and is carried by a small set of late-layer attention heads that jointly encode gender and term-matching signals.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
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A Mechanistic Analysis of Gender Sensitivity in Dense Retrieval Models
Gender sensitivity in dense retrieval models originates in input embeddings and is carried by a small set of late-layer attention heads that jointly encode gender and term-matching signals.