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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.
VetScore reveals that risk-weighted evaluations can significantly enhance the reliability of veterinary QA systems, achieving expert-level alignment even with minimal model complexity.