Ben Packer

According to our database, Ben Packer authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FRAPPÉ: A Group Fairness Framework for Post-Processing Everything.

Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization.

Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost

CoRR, 2023

Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification.

James Atwood, Tina Tian, Ben Packer, Meghana Deodhar, Jilin Chen, Alex Beutel, Flavien Prost, Ahmad Beirami

CoRR, 2023

Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.

Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel

CoRR, 2023

Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting.

Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation.

Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Striving for data-model efficiency: Identifying data externalities on group performance.

Esther Rolf, Ben Packer, Alex Beutel, Fernando Diaz

CoRR, 2022

Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations.

Flavien Prost, Ben Packer, Jilin Chen, Li Wei, Pierre Kremp, Nick Blumm, Susan Wang, Tulsee Doshi, Tonia Osadebe, Lukasz Heldt, Ed H. Chi, Alex Beutel

CoRR, 2022

Flexible text generation for counterfactual fairness probing.

Zee Fryer, Vera Axelrod, Ben Packer, Alex Beutel, Jilin Chen, Kellie Webster

CoRR, 2022

Causally motivated shortcut removal using auxiliary labels.

Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Can We Improve Model Robustness through Secondary Attribute Counterfactuals?

Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation.

Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020