4 papers
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
Sihyung Park, Wenbin Lu, Shu Yang
Truncation by death, a prevalent challenge in critical care, renders traditional dynamic treatment regime (DTR) evaluation inapplicable due to ill-defined potential outcomes. We in…
Does This Look Familiar to You? Knowledge Analysis via Model Internal Representations
Sihyun Park
Recent advances in large language models (LLMs) have been driven by pretraining, supervised fine tuning (SFT), and alignment tuning. Among these, SFT plays a crucial role in transf…
Self-Review Framework for Enhancing Instruction Following Capability of LLM
Sihyun Park
Various techniques have been proposed to improve large language models (LLMs) adherence to formatting and instruction constraints. One of the most effective approaches involves uti…
Fractional Ridge Regression
Sihyung Park, Leonard A. Stefanski
Regularization methods such as the Lasso combine shrinkage and variable selection, but strong penalization drives their solutions toward the null model. We introduce Fractional Rid…