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Negar Arabzadeh
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A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers
Addressing Gender-related Performance Disparities in Neural Rankers
Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases
Gender Fairness in Information Retrieval Systems
Exploring Gender Biases in Information Retrieval Relevance Judgement Datasets
Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation
On the orthogonality of bias and utility in ad hoc retrieval
Query Performance Prediction Through Retrieval Coherency.
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