Benchmark Overfitting in NLP Evaluation
Models exploit benchmark quirks rather than develop real reasoning skills.
Tobias Ferrell
Unreliable human labels corrupt eval sets and mislead model rankings.
Models exploit benchmark quirks rather than develop real reasoning skills.
Stratified sampling reveals regressions in rare subgroups that average pass rates bury.