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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.
ReOPD turns the costly process of agent-environment interaction into a reusable offline resource, achieving faster and more efficient multi-turn distillation.
Forget merging monolingual models for multilingual superpowers – this study reveals it's a recipe for performance collapse due to representational interference.