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The paper recommends adopting dynamically generated test cases and private held-out sets, and reporting confidence intervals rather than single scores, to mitigate benchmark contamination.
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10/19/2026
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UnverifiedThe study recommends that benchmarks should be run multiple times and report variance intervals, explicitly marking which comparative conclusions are statistically inconclusive74% similarUnverifiedDuring evaluation, per-case experiment diffs should be examined rather than only looking at changes in aggregate scores, in order to pinpoint regressions to specific cases68% similarUnverifiedRegular expressions that pass initial benchmark testing may still expose problems under more rigorous adversarial probing, meaning passing a benchmark does not equate to true reliability.66% similarUnverifiedWhen selecting cases, priority should go to examples near the decision boundary where a cheaper or differently tuned model is suspected of failing; cases that have never failed are only smoke tests, not regression tests.66% similar
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