2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Perception of Visual Content: Differences Between Humans and Foundation Models
Nardiena A. Pratama, Shaoyang Fan, Gianluca Demartini
Human-annotated content is often used to train machine learning (ML) models. However, recently, language and multi-modal foundational models have been used to replace and scale-up…
cs.IR2020★ 2 cited
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background
Kevin Roitero, Michael Soprano, Shaoyang Fan +3
Truthfulness judgments are a fundamental step in the process of fighting misinformation, as they are crucial to train and evaluate classifiers that automatically distinguish true a…