Novel Approach to Temporal Drift Detection in Transformer Sentiment Models

This ArXiv paper investigates temporal drift detection within Transformer models, a crucial aspect of maintaining model accuracy over time. The focus on zero-training methods for social media data is particularly interesting and relevant.