| 2026 | ACL | RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning. | Xiang Gao, Yuguang Yao, Qi Zhang, Kaiwen Dong, Avinash Baidya, Ruocheng Guo, Hilaf Hasson, Kamalika Das |
| 2026 | LREC | Node-Level Uncertainty Estimation in LLM-Generated SQL. | Hilaf Hasson, Ruocheng Guo |
| 2024 | EMNLP | HyQE: Ranking Contexts with Hypothetical Query Embeddings. | Weichao Zhou, Jiaxin Zhang, Hilaf Hasson, Anu Singh, Wenchao Li |
| 2023 | AISTATS | But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI. | Charles Marx, Youngsuk Park, Hilaf Hasson, Yuyang Wang, Stefano Ermon, Luke Huan |
| 2023 | ICLR | Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms. | Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Luke Huan |
| 2023 | ICML | Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting. | Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park |
| 2022 | KDD | 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. | Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka |