Ben Packer - RankMe

15 papers A* 2A 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	FRAPPÉ: A Group Fairness Framework for Post-Processing Everything. ICML Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost
2023	J	`jnl`	FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization. CoRR Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost
2023	J	`jnl`	Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals. CoRR Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel
2023	—	`conf`	Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. EMNLP (Findings) Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel
2023	A*	`conf`	Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. EMNLP Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
2023	J	`jnl`	Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. CoRR Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
2023	J	`jnl`	Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification. CoRR James Atwood, Tina Tian, Ben Packer, Meghana Deodhar, Jilin Chen, Alex Beutel, Flavien Prost, Ahmad Beirami
2022	A	`conf`	Causally motivated shortcut removal using auxiliary labels. AISTATS Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour
2022	J	`jnl`	Flexible text generation for counterfactual fairness probing. CoRR Zee Fryer, Vera Axelrod, Ben Packer, Alex Beutel, Jilin Chen, Kellie Webster
2022	J	`jnl`	Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations. CoRR 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
2022	J	`jnl`	Striving for data-model efficiency: Identifying data externalities on group performance. CoRR Esther Rolf, Ben Packer, Alex Beutel, Fernando Diaz
2021	—	`conf`	Can We Improve Model Robustness through Secondary Attribute Counterfactuals? EMNLP (1) Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel
2021	J	`jnl`	Causally-motivated Shortcut Removal Using Auxiliary Labels. CoRR Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour
2020	—	`conf`	CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. EMNLP (1) Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi
2020	J	`jnl`	CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. CoRR Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi