IEEE Trans Vis Comput Graph
September 2024
Evaluating large language models (LLMs) presents unique challenges. While automatic side-by-side evaluation, also known as LLM-as-a-judge, has become a promising solution, model developers and researchers face difficulties with scalability and interpretability when analyzing these evaluation outcomes. To address these challenges, we introduce LLM Comparator, a new visual analytics tool designed for side-by-side evaluations of LLMs.
View Article and Find Full Text PDFThe increasing availability of large institutional and public histopathology image datasets is enabling the searching of these datasets for diagnosis, research, and education. Although these datasets typically have associated metadata such as diagnosis or clinical notes, even carefully curated datasets rarely contain annotations of the location of regions of interest on each image. As pathology images are extremely large (up to 100,000 pixels in each dimension), further laborious visual search of each image may be needed to find the feature of interest.
View Article and Find Full Text PDFAuthors assessed the prognostic value of some simple, routinely used non-invasive parameters in dilated cardiomyopathy. Fifty patients, 43 male and 7 female, mean NYHA class 2.3, treated with digitalis, diuretics and vasodilators, were tested.
View Article and Find Full Text PDFThe prognostic value of maximal exercise capacity as well as that of the simple exercise systolic blood pressure and heart rate variables were evaluated in 50 patients with dilated cardiomyopathy. Patients were treated beside digitalis and/or diuretics with vasodilators aggressively. Exercise was performed on an upright bicycle ergometer.
View Article and Find Full Text PDFMagnetic resonance imaging of the breast is at this time superior to all other methods of breast cancer diagnosis. Within a few short years since its introduction, magnetic resonance mammography (MRM) can be labelled the "golden standard" for breast imaging and carcinoma detection. Nevertheless, in a certain percentage of high risk patients, there remains an unacceptable number of unclassifiable findings on MRM examination.
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