ArXiv Urges Authors to Self-Label Documents: A Step Towards Enhanced AI Discoverability
Published:Dec 15, 2025 04:45
•1 min read
•ArXiv
Analysis
This article highlights the growing importance of metadata in the age of AI and the need for authors to proactively contribute to the discoverability of their work. The call for self-labeling aligns with the broader trend of improving data quality for machine learning and information retrieval.
Key Takeaways
- •Self-labeling improves the accuracy and efficiency of AI-powered literature search.
- •This practice facilitates the creation of better training datasets for AI models.
- •Authors gain greater control over how their work is classified and discovered.
Reference
“The article's core message focuses on the benefits of authors labeling their documents.”