Jilin Chen
Authored Publications
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Batch Calibration: Rethinking Calibration For In-Context Learning And Prompt Engineering
Lev Proleev
Diana Mincu
International Conference on Learning Representations (ICLR) (2024)
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification
Tina Tian
Ben Packer
Meghana Deodhar
Alex Beutel
The Second Workshop on Spurious Correlations, Invariance and Stability @ ICML 2023 (2023)
A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures
Allison Mercurio
Amanda Elizabeth Baughan
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Pages (2023)
A Human-ML Collaboration Framework for Improving Video Content Reviews
Alex Beutel
Alex Koes
Meghana Deodhar
Yixin Cai
ACM CIKM 2022 Workshop Human-in-the-Loop Data Curation (2022)
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems
Anu Aradhana Sinha
Alex Beutel
WSDM 2021
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective
Aditee Ajit Kumthekar
Alex Beutel
Li Wei
Nick Blumm
Pranjal Awasthi
Trevor Potter
AIES (2021)
Measuring and Reducing Gendered Correlations in Pre-trained Models
Alex Beutel
Emily Pitler
arXiv (2020)
