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Negar Arabzadeh

A contrastive neural disentanglement approach for query performance prediction
Benchmarking prompt sensitivity in large language models
Gender disentangled representation learning in neural rankers
Enhanced retrieval effectiveness through selective query generation
De-biasing relevance judgements for fair ranking
Don't Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments
Learning query-space document representations for high-recall retrieval
Neural disentanglement of query difficulty and semantics
A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers
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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