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02/13/2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Large pre-trained language models contain societal biases and carry alon...
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06/09/2022
Unlearning Protected User Attributes in Recommendations with Adversarial Training
Collaborative filtering algorithms capture underlying consumption patter...
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01/19/2022
Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results
The provided contents by information retrieval (IR) systems can reflect ...
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08/16/2021
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
Several studies have identified discrepancies between the popularity of ...
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06/25/2021
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models
Existing neural ranking models follow the text matching paradigm, where ...
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05/10/2021
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
In any ranking system, the retrieval model outputs a single score for a ...
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03/14/2021
