Novel Approach to Temporal Drift Detection in Transformer Sentiment Models
Published:Nov 30, 2025 13:08
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The research focuses on authentic social media streams.”