Benchmark Contamination 101: How Train/Test Overlap Inflates Leaderboard Scores (and How to Catch It)
TL;DR A leaderboard number is only as trustworthy as the gap between what a model trained on and what it was tested on. When test examples (or near-duplicates of them) leak into pretraining or fine-tuning data, the model memorizes answers instead of generalizing, and the reported score climbs for t…
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- 2026-10-06 19:11 · DEV Community — Machine Learning
Benchmark Contamination 101: How Train/Test Overlap Inflates Leaderboard Scores (and How to Catch It)