Ben Packer

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 14

Top Topics

Classifier Systems

Text Generation

Document Ranking

Top Venues

Publications

Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. EMNLP (2023)
James Atwood, Tina Tian, Ben Packer, Meghana Deodhar, Jilin Chen, Alex Beutel, Flavien Prost, Ahmad Beirami
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification. CoRR (2023)
Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals. CoRR (2023)
Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost
FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization. CoRR (2023)
Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. EMNLP (Findings) (2023)
Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. CoRR (2023)
Zee Fryer, Vera Axelrod, Ben Packer, Alex Beutel, Jilin Chen, Kellie Webster
Flexible text generation for counterfactual fairness probing. CoRR (2022)
Esther Rolf, Ben Packer, Alex Beutel, Fernando Diaz
Striving for data-model efficiency: Identifying data externalities on group performance. CoRR (2022)
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
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations. CoRR (2022)
Maggie Makar, Ben Packer, Dan Moldovan, Davis Blalock, Yoni Halpern, Alexander D'Amour
Causally motivated shortcut removal using auxiliary labels. AISTATS (2022)
Maggie Makar, Ben Packer, Dan Moldovan, Davis Blalock, Yoni Halpern, Alexander D'Amour
Causally-motivated Shortcut Removal Using Auxiliary Labels. CoRR (2021)
Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel
Can We Improve Model Robustness through Secondary Attribute Counterfactuals? EMNLP (1) (2021)
Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed Chi
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. CoRR (2020)
Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed Chi
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. EMNLP (1) (2020)