Sara Rajaee

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.

Smaller models can outperform larger counterparts in linguistic reasoning tasks, challenging assumptions about model size and capability.