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Ben Packer

Stanford University

FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization

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Dec 05, 2023
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Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting

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Oct 25, 2023
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Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification

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Jul 11, 2023
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Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals

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May 22, 2023
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Striving for data-model efficiency: Identifying data externalities on group performance

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Nov 11, 2022
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Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations

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Oct 14, 2022
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Flexible text generation for counterfactual fairness probing

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Jun 28, 2022
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Causally-motivated Shortcut Removal Using Auxiliary Labels

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Jun 03, 2021
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CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation

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Oct 05, 2020
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Modeling Latent Variable Uncertainty for Loss-based Learning

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Jun 18, 2012
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