Asgari, A., Wu, H., Naziri, A., Kolahdouzi, M., & Seyyed-Kalantari, L. (2026). "Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models." The 64th Annual Meeting of the Association for Computational Linguistics.
Naziri, A., Asgari, A., Sachlos, E., An, A., & Seyyed-Kalantari, L. (2024). "Improving Classification of Cell Types in Acute Myeloid Leukemia with Self-guided Masking." Preprint.
Asgari, A., Naziri, A., & Seyyed-Kalantari, L. (2025). "MedPerturbing LLMs: A Comparative Study of Toxicity, Prompt Tuning, and Jailbreaks in Medical QA." Proceedings of the AAAI Symposium Series, 7(1), 438-447.
Naziri, A., Asgari, A., An, A., Sachlos, E., & Seyyed-Kalantari, L. (2025). "From Bias to Breakdown: Benchmarking Failure Mode Analysis of Single-cell RNA Sequencing Foundation Models in Acute Myeloid Leukemia." Proceedings of the AAAI Symposium Series, 7(1), 553-557.
Ghahfarokhi, M. M., Asadi, A., Asgari, A., Mohammadi, B., & Heydarnoori, A. (2025). "Predicting the understandability of computational notebooks through code metrics analysis." Empirical Software Engineering, 30(4), 98.
Chen, C.-Y., Abulibdeh, R., Asgari, A., Ordóñez, S. A. C., Celi, L. A., Goode, D., ... & Seyyed-Kalantari, L. (2025). "Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types." arXiv preprint arXiv:2511.11030.
Mostafavi Ghahfarokhi, M., Asgari, A., Abolnejadian, M., & Heydarnoori, A. (2024). "DistilKaggle: a distilled dataset of Kaggle Jupyter notebooks." Proceedings of the 21st International Conference on Mining Software Repositories, 647-651.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA