Wafa Aissa

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.

Vulnerabilities in speech models are not just a problem for English; they worsen in other languages and with spoken inputs, revealing a critical oversight in AI safety.