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Machine translation benchmarks have functionally saturated, but pairing human-authored failure cases with deterministic verification rules reveals critical multimodal blind spots that automated metrics consistently miss.
Fixed 30-second segmentation emerges as the key to robust long-form speech instruction following, outperforming other methods.
