5 papers
Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings
Yubo Li, Rema Padman
Modeling clinical time-series data is hampered by the challenge of capturing latent, time-varying dependencies among features. State-of-the-art approaches often rely on black-box m…
Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
Yubo Li, Ramayya Krishnan, Rema Padman
Large Language Models (LLMs) have revolutionized conversational AI, yet their robustness in extended multi-turn dialogues remains poorly understood. Existing evaluation frameworks…
Can LLMs Support Medical Knowledge Imputation? An Evaluation-Based Perspective
Xinyu Yao, Aditya Sannabhadti, Holly Wiberg +2
Medical knowledge graphs (KGs) are essential for clinical decision support and biomedical research, yet they often exhibit incompleteness due to knowledge gaps and structural limit…
Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions
Yubo Li, Yidi Miao, Xueying Ding +2
Large Language Models (LLMs) have shown remarkable capabilities across various tasks, but their deployment in high-stake domains requires consistent and coherent behavior across mu…
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
Yubo Li, Xinyu Yao, Rema Padman
Despite the outstanding performance of deep learning models in clinical prediction tasks, explainability remains a significant challenge. Inspired by transformer architectures, we…