Papers by Cornelia Volaucnik

1 papers
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters (2024.eacl-long)

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Challenge: a recent study focused on learning separate modules for on-demand debiasing.
Approach: They propose a modular debiasing module with a controllable gate adapter . they demonstrate that the module can reduce the bias of search results .
Outcome: The proposed module can reduce biases on three classification tasks with four protected attributes while maintaining higher task performance.

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