| SemEval-2020 task 5: Counterfactual recognition X Yang, S Obadinma, H Zhao, Q Zhang, S Matwin, X Zhu arXiv preprint arXiv:2008.00563, 2020 | 42 | 2020 |
| Class-wise Calibration: A Case Study on COVID-19 Hate Speech. S Obadinma, H Guo, X Zhu Canadian AI, 2021 | 8 | 2021 |
| Calibration Attack: A Framework For Adversarial Attacks Targeting Calibration S Obadinma, X Zhu, H Guo arXiv preprint arXiv:2401.02718, 2024 | 2 | 2024 |
| Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data S Obadinma, H Guo, X Zhu arXiv preprint arXiv:2303.02577, 2023 | 2 | 2023 |
| Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support S Obadinma, FK Khattak, S Wang, T Sidhom, E Lau, S Robertson, J Niu, ... arXiv preprint arXiv:2302.03222, 2023 | 1 | 2023 |
| The FAIIR Tool: A Conversational AI Agent Assistant for Youth Mental Health Service Provision S Obadinma, A Lachana, M Norman, J Rankin, J Yu, X Zhu, ... arXiv preprint arXiv:2405.18553, 2024 | | 2024 |
| Effectiveness of Data Augmentation for Prefix Tuning with Limited Data. S Obadinma, H Guo, X Zhu CoRR, 2023 | | 2023 |
| The Effect of Biased Training Regimes on the Calibration of Deep Neural Networks S Obadinma | | 2022 |
| Calibration Attack: Adversarial Attacks Against Model Calibration SC Obadinma, X Zhu, H Guo Available at SSRN 4474509, 0 | | |
| How Curriculum Learning Impacts Model Calibration S Obadinma, X Zhu, H Guo | | |
