Adrian Tan

Can We Reliably Rank Model Performance across Domains without Labeled Data?

2025 · arXiv (Cornell University)

Estimating model performance without labels is an important goal for understanding how NLP models generalize. While prior work has proposed measures based on dataset similarity or predicted correctness, it remains unclear when these estimates produce …