Instruction: Discuss approaches to benchmarking the performance of multimodal AI systems across different tasks and modalities.
Context: This questions assesses the candidate's experience with evaluating AI systems, understanding the complexity of benchmarking multimodal systems, and knowledge of both task-specific and modality-specific metrics.
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The way I'd think about it is this: Benchmarking multimodal systems should include task metrics, modality ablations, robustness under noisy or missing modalities, latency and resource cost, and evaluation across meaningful slices. A single benchmark score...
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