4 papers · 1 filter
Multi-Task Bayesian In-Context Learning
Qingyang Zhu, Eric Karl Oermann, Kyunghyun Cho
Bayesian predictive inference provides a principled framework for uncertainty quantification, data efficiency, and robust generalization. However, exact inference is often intracta…
Paradox of De-identification: A Critique of HIPAA Safe Harbour in the Age of LLMs
Lavender Y. Jiang, Xujin Chris Liu, Kyunghyun Cho +1
Privacy is a human right that sustains patient-provider trust. Clinical notes capture a patient's private vulnerability and individuality, which are used for care coordination and…
Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
Anjali K. Kapoor, Anton Alyakin, Jin Vivian Lee +8
Accurate prediction of functional outcomes after acute ischemic stroke can inform clinical decision-making and resource allocation. Prior work on modified Rankin Scale (mRS) predic…
Large-Scale Multi-omic Biosequence Transformers for Modeling Protein-Nucleic Acid Interactions
Sully F. Chen, Robert J. Steele, Glen M. Hocky +3
The transformer architecture has revolutionized bioinformatics and driven progress in the understanding and prediction of the properties of biomolecules. To date, most biosequence…