NCA-GENM Question 28
Select 3You are designing a statistical analysis framework to evaluate the performance of a multimodal pipeline that combines text, image, and audio inputs. Which of the following approaches are most appropriate to ensure a comprehensive evaluation?
- A
Compute modality-specific metrics such as BLEU for text, FID for images, and PESQ for audio.
- B
Use cross-modal consistency metrics to evaluate the alignment between different modalities, such as text-to-image coherence.
- C
Focus solely on the overall pipeline accuracy, ignoring individual modality-specific performance.
- D
Perform ablation studies to measure the contribution of each modality to the overall performance.
- E
Ignore statistical significance testing since multimodal pipelines are inherently heuristic.
Show answer and explanation
Correct answers: A, B, D
Explanation
Effective evaluation of multimodal pipelines requires a comprehensive strategy that includes modality-specific metrics, cross-modal consistency metrics, and ablation studies. These approaches ensure that both individual and combined contributions of modalities to the pipeline are adequately assessed. Ignoring specific evaluation techniques or reducing the analysis to overall accuracy risks missing critical insights into the pipeline's design and performance.
- A. Correct.
Computing modality-specific metrics ensures that each modality's individual performance is appropriately measured, which is crucial in identifying bottlenecks or weak components in the pipeline.
- B. Correct.
Cross-modal consistency metrics evaluate how well the modalities align and complement one another, which is a critical aspect of multimodal pipeline performance.
- C. Incorrect.
Focusing solely on overall pipeline accuracy could overlook underlying issues in specific modalities, leading to incomplete evaluation results.
- D. Correct.
Ablation studies help identify the contribution of each modality, providing insights into the importance of each component in achieving the overall pipeline performance.
- E. Incorrect.
Statistical significance testing is essential to validate the reliability and reproducibility of the results, making this option incorrect.