UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

Abstract: Large Language Models(LLMs) have demonstrated excellent capabilities in many areas of software engineering(SE), including code completion, code generation, code understanding, code repair, ...

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This project is no longer actively maintained. While the code remains available for reference and use, no updates, bug fixes, or new features will be provided. Users are encouraged to seek alternative ...

Abstract: This study presents an optimized Logistic Regression-based predictive model for early detection of Chronic Kidney Disease (CKD) using clinical and demographic data. The framework integrates ...

Background: Distinct socioeconomic gradients in COVID-19 outcomes were observed across the United States, so an evaluation of individual resident characteristics related to economic deprivation (race ...