Beni Egressy

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.

GLM retrievers not only set new benchmarks for multi-hop reasoning but also demonstrate superior transferability to unseen domains compared to traditional methods.