Abstract: As the demand for precision, efficiency, and low-cost solutions in educational classification tasks continues to grow, enhancing model performance has become a critical focus of research.

Abstract: Contrastive unsupervised learning has made significant progress, but there is still potential for improvement by capturing finer details in input data. In this letter, we present PGMoCo, a ...

A research team at Mohamed bin Zayed University of Artificial Intelligence published a finding in April 2026 that has gained traction in engineering circles for reasons that go beyond its headline ...

Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...