TIL: Masked Language Models Are Surprisingly Capable Zero-Shot Learners
Read OriginalThe article introduces ModernBERT-Large-Instruct, an instruction-tuned encoder model that uses its Masked Language Modeling head to perform classification and multiple-choice tasks zero-shot. It details how this approach outperforms other small models on benchmarks like MMLU-Pro and matches traditional fine-tuning, all with a simple training recipe and easy-to-use code on HuggingFace.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
2
Better react-hook-form Smart Form Components
Maarten Hus
•
2 votes
3
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook
•
1 votes
4
Quoting Thariq Shihipar
Simon Willison
•
1 votes
5
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft
•
1 votes
6
Using Browser Apis In React Practical Guide
Jivbcoop
•
1 votes