Sotabase

Career

· PhD in Computer Science, Stanford University2023–
· Research Intern, Microsoft Research2022–
· M.S. in Statistics, Stanford University2021–2023
· B.S. in Computer Science with Honors and Distinction, Stanford University2018–2023

Publications (24)

WILDS: A Benchmark of in-the-Wild Distribution Shifts
International Conference on Machine Learning · 2020
1,674
cited
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
arXiv.org · 2023
555
cited
Are aligned neural networks adversarially aligned?
Neural Information Processing Systems · 2023
315
cited
@ CREPE: Can Vision-Language Foundation Models Reason Compositionally?
Computer Vision and Pattern Recognition · 2022
187
cited
Extending the WILDS Benchmark for Unsupervised Adaptation
International Conference on Learning Representations · 2021
113
cited
Adaptive Testing of Computer Vision Models
IEEE International Conference on Computer Vision · 2022
47
cited
Out-of-Domain Robustness via Targeted Augmentations
International Conference on Machine Learning · 2023
30
cited
Red teaming ChatGPT in medicine to yield real-world insights on model behavior
npj Digital Medicine · 2025
26
cited
Out-of-Distribution Robustness via Targeted Augmentations
2022
24
cited
Red Teaming Large Language Models in Medicine: Real-World Insights on Model Behavior
medRxiv · 2024
23
cited
Parallel Worlds: Repeated Initializations of the Same Team to Improve Team Viability
Proc. ACM Hum. Comput. Interact. · 2020
16
cited
Effect of Confidence Indicators on Trust in AI-Generated Profiles
CHI Extended Abstracts · 2020
15
cited
Fair Matching in Dynamic Kidney Exchange
arXiv.org · 2019
4
cited
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling
arXiv.org · 2024
3
cited
Using the Social Network Internet of Things to Mitigate Public Mass Shootings
International Conference on Communications in Computing · 2016
3
cited
2022 Source Labeled Unlabeled Belgium France Norway Validation China Target United States Canada UK Japan Mexico Extra
2022
Exploring Adversarial Training for Out-of-Distribution Detection
2020
Session 1C: A Distributed Greedy Auction Algorithm to Mitigate Public Mass Shootings
2017
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Irena Gao | Researcher Profile | Sotabase | Sotabase