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Jilin Chen
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Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers


Oct 28, 2022
Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang

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* EMNLP 2022 Findings 
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A Human-ML Collaboration Framework for Improving Video Content Reviews


Oct 18, 2022
Meghana Deodhar, Xiao Ma, Yixin Cai, Alex Koes, Alex Beutel, Jilin Chen

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* 5 pages, Human-in-the-Loop Data Curation Workshop CIKM'22 
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Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations


Oct 14, 2022
Flavien Prost, Ben Packer, Jilin Chen, Li Wei, Pierre Kremp, Nicholas Blumm, Susan Wang, Tulsee Doshi, Tonia Osadebe, Lukasz Heldt, Ed H. Chi, Alex Beutel

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Flexible text generation for counterfactual fairness probing


Jun 28, 2022
Zee Fryer, Vera Axelrod, Ben Packer, Alex Beutel, Jilin Chen, Kellie Webster

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Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning


Jun 04, 2021
Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi

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Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective


May 20, 2021
Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel

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Measuring Recommender System Effects with Simulated Users


Jan 12, 2021
Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel

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* Presented at Second Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web (FATES 2020) with the title "Beyond Next Step Bias: Trajectory Simulation for Understanding Recommender System Behavior" 
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Measuring and Reducing Gendered Correlations in Pre-trained Models


Oct 12, 2020
Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Slav Petrov

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


Oct 05, 2020
Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed Chi

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* 6 pages, accepted to EMNLP 2020 
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Fairness without Demographics through Adversarially Reweighted Learning


Jun 24, 2020
Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi

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