LeakScale: Estimating the Causal Effect of Benchmark Exposure
Evidence that evaluation material entered training does not reveal how much it affected evaluation. This distinction leaves a contaminated benchmark score difficult to interpret: provenance can establish contact, but only a counterfactual can quantify the performance attributable to that contact. We present LeakScale, an interventional framework for estimating this missing quantity. LeakScale creates fresh executable tasks that require private, family-specific information absent from and non-derivable from the public task, controls access to that information, and estimates the resulting control-adjusted change in executable accuracy. Across 2,048 unique families, two model families, two e...
| Authors | Divyansh Singh |
|---|---|
| Primary category | cs.CL |
| Published | 23 September 2026 |
| Last updated at source | 24 September 2026 |
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