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Baseline and Comparative Analysis Questions

Designing and executing rigorous comparative evaluations that demonstrate whether and why a new method provides meaningful benefit. Topics include selecting simple and strong baselines, ensuring hyperparameter parity, designing ablation studies, choosing appropriate evaluation metrics for the problem, conducting error analysis, running statistical tests and power analysis, correcting for multiple comparisons, avoiding improper data dredging, and building reproducible evaluation pipelines that produce results interpretable for product and research stakeholders.

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