Experimental Evaluation and Metrics Questions

Addresses how to design, run, and interpret experiments that validate research contributions and quantify impact. Candidates should cover metric selection aligned to scientific or practical goals, choice of baselines, power and sample size considerations, ablation studies, cross data set and out of distribution evaluation, statistical significance and confidence intervals, error analysis, and visualization for insight. The topic also includes deployment relevant metrics such as latency and throughput when applicable, and how to communicate meaningful effect sizes and trade offs to technical and non technical stakeholders.