Abstract: Currently,the research of federated learning(FL) in the field of anomaly detection is mainly based on the assumption that the data follows the principle of independent identically ...

Abstract: Large language models (LLMs) perform exceptionally well in text generation tasks, but they often face issues of outdated or inaccurate content (i.e., "hallucination") when handling dynamic ...

Introduction Cluster analysis, a machine learning-based and data-driven technique for identifying groups in data, has demonstrated its potential in a wide range of contexts. However, critical ...

We are happy to release MMBench-GUI, a hierarchical, multi-platform benchmark framework and toolbox, to evaluate GUI agents. MMBench-GUI is comprising four evaluation levels: GUI Content Understanding ...

This project applies hierarchical clustering to group car models by attributes like horsepower, price, and fuel efficiency. It involves data preprocessing, cluster analysis, and visualization to ...