| 2024 | ICLR | SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models. | Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora |
| 2023 | ICLR | Understanding Influence Functions and Datamodels via Harmonic Analysis. | Nikunj Saunshi, Arushi Gupta, Mark Braverman, Sanjeev Arora |
| 2022 | ICLR | On Predicting Generalization using GANs. | Yi Zhang, Arushi Gupta, Nikunj Saunshi, Sanjeev Arora |
| 2021 | ICML | A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning. | Nikunj Saunshi, Arushi Gupta, Wei Hu |
| 2018 | ICSE | Answering the requirements traceability questions. | Arushi Gupta, Wentao Wang, Nan Niu, Juha Savolainen |
| 2018 | RE | Mining Security Requirements from Common Vulnerabilities and Exposures for Agile Projects. | Wentao Wang, Arushi Gupta, Nan Niu |
| 2017 | ALT | Parameter identification in Markov chain choice models. | Arushi Gupta, Daniel Hsu |
| 2017 | RE | Traceability for Automated Production Systems: A Position Paper. | Mounifah Alenazi, Nan Niu, Wentao Wang, Arushi Gupta |
| 2017 | RE | A Regression Model Based Approach for Identifying Security Requirements in Open Source Software Development. | Wentao Wang, Nesrin Hussein, Arushi Gupta, Yinglin Wang |
| 2015 | RE | Continuously delivered? Periodically updated? Never changed? Studying an open source project's releases of code, requirements, and trace matrix. | Wentao Wang, Arushi Gupta, Yingbo Wu |