GitHub

LogLLM: Log-based Anomaly Detection Using Large Language Models

Experimental Results on HDFS, BGL, Liberty, and Thunderbird datasets. The best results are indicated using bold typeface.
IEEE

Improved Modular Multiplication Algorithms Using Solely IEEE 754 Binary Floating-Point Operations

Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...
Journal of Medical Internet Research

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th ...

Both values suggested that the model was able to achieve our objective. Using our approach, we identified that dissatisfaction is highest for sex-related diseases and lowest for circulatory diseases ...
IEEE

Development of a Formative Assessment System for Reports Using Large Language Models and Rubrics

Abstract: The formative use of rubrics has gained attention in education, particularly in first-year university report writing. This is because rubrics can clarify learning objectives, provide ...