Unverified50% confidenceFactExact time
The Evol-Instruct method expands the dataset by repeatedly rewriting seed problems; if benchmark problems are mixed into the seed pool, all variants inherit their core problem structure, and exact-match filters cannot detect these rewritten contaminations.
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50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
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Related Claims
UnverifiedWhen conducting single-edit comparison experiments, fixing the seed maintains a consistent baseline and isolates variables.71% similarUnverifiedIn the numerical experiments, using rng(seed + i) to seed each sample separately causes adjacent samples to be non-independent; instead, a single generator should be shared across the whole experiment with sequential sampling.71% similarUnverifiedThe seed parameter is used to make model outputs as reproducible as possible.70% similarUnverified固定seed以稳定构图、开放Wildcards以探索语义变量，可实现受控变量实验式的探索67% similarUnverifiedThe SMOTE algorithm achieves oversampling by interpolating between minority class samples to generate synthetic samples.65% similar
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