| 2026 | AAAI | Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models. | Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang |
| 2026 | ACIIDS | An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models. | Riya Naik, Ashwin Srinivasan, Swati Agarwal, Estrid He |
| 2026 | ICAART | Agent-Based Detection and Resolution of Incompleteness and Ambiguity in Interactions with Large Language Models. | Riya Naik, Ashwin Srinivasan, Swati Agarwal, Estrid He |
| 2026 | ICAART | Characterization and Detection of Incompleteness and Ambiguity in Multi-Turn Interactions with LLMs. | Riya Naik, Ashwin Srinivasan, Swati Agarwal, Estrid He |
| 2026 | SIGIR | One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation. | Ethan Bito, Yongli Ren, Estrid He |
| 2024 | KDD | FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. | Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia |
| 2023 | EMNLP | Effects of Human Adversarial and Affable Samples on BERT Generalizability. | Aparna Elangovan, Estrid He, Yuan Li, Karin Verspoor |